Stabilizing the agricultural frontier: Leveraging REDD with biofuels for sustainable development

International Nuclear Information System (INIS)

Killeen, Timothy J.; Schroth, Goetz; Turner, Will; Harvey, Celia A.; Steininger, Marc K.; Dragisic, Christine; Mittermeier, Russell A.

2011-01-01

We evaluate the potential of a proposed policy model that would explicitly link the cultivation of biofuels with forest conservation (Biofuel + FC) as part of the United Nations Framework Convention on Climate Change. The model postulates that a ratio of 4:1 forest conservation to biofuel cultivation be linked to proposals for reducing emissions from deforestation and forest degradation (REDD + Biofuel), while a ratio of 9:1 biofuel cultivation to reforestation on degraded landscape (RDL + Biofuel) be linked to the afforestation/reforestation component of the Clean Development Mechanism. Both biofuel production options would be limited to the cultivation of woody perennial biofuel species on low biomass landscapes in order to maximize the carbon benefits of the proposed policy model. The potential to conserve forest, avoid GHG emissions, improve carbon sequestration, and produce renewable energy are evaluated by an illustrative model for five case studies (Pará – Brazil, East Kalimantan – Indonesia, Madagascar, Colombia and Liberia). The Biofuel + FC policy model is then compared with three counterfactual scenarios: REDD Alone with no biofuel cultivation; Biofuel Alone with expanded biofuel cultivation in the absence of REDD and a Most Likely scenario where REDD and biofuel cultivation are implemented without explicit regulatory linkages. The proposed policy model would leverage forest carbon with biofuel markets, which would reduce greenhouse gas emissions and conserve biodiversity, as well as improve human welfare in developing countries, a win–win–win strategy for sustainable development. -- Highlights: ► We propose to link biofuel cultivation with forest conservation (REDD + Biofuels). ► A similar proposal to support reforestation on degraded landscapes (RDL + Biofuels). ► Woody perennial biofuel species on low biomass landscapes maximize carbon benefits. ► REDD+ revenues can subsidize and foster sustainable biofuels. ► Production of

Predicting Future Conflict under REDD+ Implementation

Directory of Open Access Journals (Sweden)

Chandra Silori

2013-05-01

Full Text Available With the current complexity of issues facing forest and land management, the implementation of the REDD+ initiative comes with significant risks, including conflict. While the exact nature and shape of conflict in REDD+ implementation is difficult to pinpoint, this study aims to build a preliminary predictive framework to identify possible sources of impairment that may result in conflict over management of forests and natural resources. The framework was developed from an extensive literature review and was tested in three REDD+ pilot project sites in Nepal. The results indicate that most of the sources of impairment are present in all study sites, particularly issues relating to benefit sharing, which have been main drivers of conflict prior to REDD+. While we found that the application of the framework has been useful in the Nepalese context, there are some limitations in its scope and precision. Nonetheless, this study points to important implications with regards to REDD+ implementation and conflict management that can be useful for policy makers and practitioners involved in REDD+ strategy designs, as well as other areas of forest management involving outsiders and communities.

Challenges and opportunities for REDD+

DEFF Research Database (Denmark)

Pasgaard, Maya; Sun, Zhanli; Müller, Daniel

2016-01-01

Reducing Emissions from Deforestation and forest Degradation (REDD+) is a promising mechanism of payments for ecosystem services with the aim to effectively reduce emissions in an efficient and equitable manner. REDD+ is part of the Paris-agreement reached at the UNFCCC COP21 in December 2015...... the opportunities and challenges of REDD+ for achieving effective, efficient and equitable outcomes and co-benefits (3E+). We substantiate our survey results with a literature review. Results suggest that the challenges in achieving the 3E+ relate to the disproportionality between deforestation drivers...

National Satellite Forest Monitoring systems for REDD+

Science.gov (United States)

Jonckheere, I. G.

2012-12-01

Reducing Emissions from Deforestation and Forest Degradation (REDD) is an effort to create a financial value for the carbon stored in forests, offering incentives for developing countries to reduce emissions from forested lands and invest in low-carbon paths to sustainable development. "REDD+" goes beyond deforestation and forest degradation, and includes the role of conservation, sustainable management of forests and enhancement of forest carbon stocks. In the framework of getting countries ready for REDD+, the UN-REDD Programme assists developing countries to prepare and implement national REDD+ strategies. For the monitoring, reporting and verification, FAO supports the countries to develop national satellite forest monitoring systems that allow for credible measurement, reporting and verification (MRV) of REDD+ activities. These are among the most critical elements for the successful implementation of any REDD+ mechanism. The UN-REDD Programme through a joint effort of FAO and Brazil's National Space Agency, INPE, is supporting countries to develop cost- effective, robust and compatible national monitoring and MRV systems, providing tools, methodologies, training and knowledge sharing that help countries to strengthen their technical and institutional capacity for effective MRV systems. To develop strong nationally-owned forest monitoring systems, technical and institutional capacity building is key. The UN-REDD Programme, through FAO, has taken on intensive training together with INPE, and has provided technical help and assistance for in-country training and implementation for national satellite forest monitoring. The goal of the support to UN-REDD pilot countries in this capacity building effort is the training of technical forest people and IT persons from interested REDD+ countries, and to set- up the national satellite forest monitoring systems. The Brazilian forest monitoring system, TerraAmazon, which is used as a basis for this initiative, allows

Spatial consistency of Chinook salmon redd distribution within and among years in the Cowlitz River, Washington

Energy Technology Data Exchange (ETDEWEB)

Klett, Katherine J.; Torgersen, Christian; Henning, Julie; Murray, Christopher J.

2013-04-28

We investigated the spawning patterns of Chinook salmon Oncorhynchus tshawytscha on the lower Cowlitz River, Washington (USA) using a unique set of fine- and coarse-scale 35 temporal and spatial data collected during bi-weekly aerial surveys conducted in 1991-2009 (500 m to 28 km resolution) and 2008-2009 (100-500 m resolution). Redd locations were mapped from a helicopter during 2008 and 2009 with a hand-held global positioning system (GPS) synchronized with in-flight audio recordings. We examined spatial patterns of Chinook salmon redd reoccupation among and within years in relation to segment-scale geomorphic features. Chinook salmon spawned in the same sections each year with little variation among years. On a coarse scale, five years (1993, 1998, 2000, 2002, and 2009) were compared for reoccupation. Redd locations were highly correlated among years resulting in a minimum correlation coefficient of 0.90 (adjusted P = 0.002). Comparisons on a fine scale (500 m) between 2008 and 2009 also revealed a high degree of consistency among redd locations (P < 0.001). On a finer temporal scale, we observed that salmon spawned in the same sections during the first and last week (2008: P < 0.02; and 2009: P < 0.001). Redds were clustered in both 2008 and 2009 (P < 0.001). Regression analysis with a generalized linear model at the 500-m scale indicated that river kilometer and channel bifurcation were positively associated with redd density, whereas sinuosity was negatively associated with redd density. Collecting data on specific redd locations with a GPS during aerial surveys was logistically feasible and cost effective and greatly enhanced the spatial precision of Chinook salmon spawning surveys.

Reform or reversal: the impact of REDD+ readiness on forest governance in Indonesia

NARCIS (Netherlands)

Agung, P.; Galudra, G.; Noordwijk, van M.; Maryani, R.

2014-01-01

Indonesia has turned its alleged role as global leader of land-based carbon emissions into a role as a global trailblazer exploring modalities for Reducing Emissions from Deforestation and Forest Degradation (REDD+). REDD+ readiness is largely about improving forest governance, but this itself is a

Economics of forests and REDD+ projects

DEFF Research Database (Denmark)

Zaballa Romero, Mauricio Ernesto; Trærup, Sara Lærke Meltofte; Wieben, Emilie

The financial implications of implementing a new forest management paradigm have not been well understood and have often been underestimated. Resource needs for e.g., stakeholder consultation, capacity building and addressing the political economy are seldom fully accounted for in the resource...... needs estimates put forward in connection to REDD+. This report investigates the economics of implementing forest and REDD+ projects through eight case studies from Africa, Latin America and Asia, analyzing real forest and REDD+ investments....

A Hidden Pitfall for REDD: Analysis of Power Relation in Participatory Forest Management on Whether It Is an Obstacle or a Reliever on REDD Pathway

Directory of Open Access Journals (Sweden)

Angelingis Akwilini Makatta

2015-01-01

Full Text Available Power relation among stakeholders is a key concept in collaborative approaches. This study aims to examine the reality of the acclaimed power sharing in Participatory Forest Management (PFM and implication of existing power relation to the national REDD+ programme in Tanzania. The study involved a review of PFM policy and legal supporting documents; meta-analysis of previous studies done at two sites known to have succeeded in PFM; and empirical study at Kolo-Hills forests. Methods used include the meta-analysis of existing literature; Household Questionnaire Survey; Focused Group Discussion; and key person unstructured interviews. Results revealed that a large part of the PFM processes involved power struggle instead of power sharing. REDD+ pilot was perceived to have succeeded in improving PFM only in villages where the majority of the community about 70% experienced higher levels of inclusiveness and power balance with other PFM stakeholders in PFM processes. Power imbalance and power struggle were also noted in the REDD+ project adoption processes. Thus power relations exercised under PFM fall under potential obstacle rather than a reliever to the REDD+ programme. The study recommends reviewing of PFM legal frameworks to strengthen community empowerment for effectiveness of REDD+ on PFM platform.

REDD+ Crossroads Post Paris: Politics, Lessons and Interplays

Directory of Open Access Journals (Sweden)

Esteve Corbera

2017-12-01

Full Text Available This article introduces the special issue “REDD+ crossroads post Paris: politics, lessons and interplays”. The contributions to the special issue demonstrate, first, that REDD+ design in the studied countries has generally lacked social legitimacy and sidelined key actors that have an important role in shaping land-use sector dynamics. Second, they show that REDD+ early actions have tended to oversimplify local realities and have been misaligned with other policy goals and local needs. Third, REDD+ efforts have remained constrained to the forestry or climate mitigation policy sectors and have thus suffered from a lack of harmonization across local, national and international concerns, specifically of contradictory policy. As REDD+ moves from its preparedness to its implementation phase, more research efforts should be aimed at analysing the power relations that underpin and determine the design and implementation of REDD+ policies and actions, the potential for and limits to the vertical and horizontal harmonization of land-use policies and management, and the processes of resistance to or accommodation of REDD+ practices on the ground. In doing so, we advocate for multi-and transdisciplinary research that does not take for granted the benefits of REDD+ and which critically scrutinizes the multiple goals of this ambitious international policy framework, and where it sits within the broader Paris Agreement implementation agenda.

Financing REDD: meshing markets with government funds

Energy Technology Data Exchange (ETDEWEB)

Viana, Virgilio M. [Amazonas Sustainable Foundation, Manaus (Brazil)

2009-03-15

Deforestation accounts for roughly 17 per cent of global greenhouse gas emissions. So it is no surprise that in the runup to the December 2009 climate talks in Copenhagen, REDD – reduced emissions from deforestation and degradation – is emerging as a strategy with big potential for mitigating climate impacts. With REDD, local communities can be rewarded for conserving their forests, so the approach works for poverty alleviation as well as emissions reduction. Evidence is showing that REDD is simple and workable. Funding is an altogether more complex issue, however. Looking at the roles of market and government, is a combined approach to financing REDD feasible?.

How Laos is moving forward with REDD+ schemes

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Sithong Thongmanivong

2013-07-01

Full Text Available The forest cover in Laos has decreased over the past three decades for variety of reasons. The current Laos Government has committed itself to restoring the forest cover to 70 per cent by 2020. As a result, many conservation projects and programs have been planned and implemented in different parts of the country. REDD+ was introduced in late 2007; however, progress of implementation of REDD+ has been slow. This paper examines and updates the status of REDD+ implementation in Laos, using information from literature and interviews with relevant individuals. The paper reveals that progress of REDD+ is slow not only due to external factors but also on internal factors. Currently, there are various international organisations and NGOs, from both the public and private sectors, attempting to pilot REDD+ projects. Laos faces many challenges in implementing REDD+, including institutional arrangements; appropriate methods for carbon accounting, reporting and verification; benefit sharing; and engaging local communities.

Community Tenure Rights and REDD+: A Review of the Oddar Meanchey Community Forestry REDD+ Project in Cambodia

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Donal Yeang

2012-01-01

Full Text Available Tenure rights over land, forest, and carbon have become a contentious issue within REDD+ implementation across the tropics because local communities could be excluded from REDD+ benefits if land tenure or use and access rights are not clear. This study aims to understand and assess tenure arrangements under the first REDD+ demonstration project in Cambodia, the Oddar Meanchey Com- munity Forestry REDD+ Project. In particular, the study explores the following questions: (1 How are tenure rights arranged in the Oddar Meanchey REDD+ Project? (2 Does the tenure regime recognise the rights of local communities to their land and its associated resources? (3 What kind of institu- tions are put in place to support tenure rights of local communities in the project? The author conducted in-depth semi-structured interviews with key stakeholders and complemented the analysis by participant observation and a review of policy documents and secondary literature. The major finding of this study is that the local communities in the project are still given rights to use and access forest resources, although carbon rights belong to the government. While the government retains ownership over carbon credits, it agreed that at least 50 percent of the net revenue from the sale of carbon credits will flow to participating communities. ------ Besitzrechte an Land, Wald und CO2 sind zu einer umkämpften Angelegenheit in der REDD+ Implementierung in den Tropen geworden. Diese Studie versucht die Besitzregelungen im ersten REDD+ Demons- trationsprojekt in Kambodscha, dem Oddar Meanchey Community Forestry REDD+ Project, zu verstehen und zu bewerten. Die Untersuchung analysiert dabei insbesondere folgende Fragen: (1 Wie sind Besitzrechte im Oddar Meanchey REDD+ Projekt geregelt? (2 Erkennt das Besitzsystem die Rechte von lokalen Gemeinschaften an ihrem Land und den dazugehörigen Ressourcen an? (3 Welche Institutionen werden geschaffen, um die Besitzrechte von lokalen

South-South REDD: A Brazil-Mozambique initiative

Energy Technology Data Exchange (ETDEWEB)

MacQueen, Duncan

2011-06-15

The South-South REDD initiative - that aims to help facilitate the development of a National Action Plan for REDD+ for Mozambique based on sound baselines and monitoring, reporting and verification (MRV), clear analysis of the causes of deforestation and degradation, and appropriate benefit sharing mechanisms in support of activities to address them - is now in its second year. Extensive national consultations have led to the development of a National Action Plan for REDD+ which is currently being used as the basis for developing the countries REDD-Readiness Preparation Proposal (R-PP) for submission to the World Bank Forest Carbon Partnership Facility (FCPF). The National Action Plan for REDD+ seeks to create favourable conditions for the progressive reduction of the current rate of deforestation (0.58%) to 0.21% by 2025 and ultimately to zero, simultaneously reducing the rate of degradation and encouraging forest restoration to sequester 30 million tonnes of carbon by 2025.

REDD herring

DEFF Research Database (Denmark)

Kamelarczyk, Kewin Bach Friis; Smith-Hall, Carsten

2014-01-01

To enhance understanding of environmental science–policy interactions, this study analyses how environmental knowledge is produced, circulated, and applied in the Reduced Emissions from Deforestation and Degradation (REDD +) programme in Zambia. Data are drawn from interviews with key actors...... in the REDD + process and an extensive critical review of policy documents and deforestation estimates. We find that research over the past 50 years has not resulted in accurate estimates of forest cover and deforestation rates, nor have major deforestation drivers been convincingly documented. Estimates...... are difficult to compare due to inconsistent use of key terms, methodological pluralism and differences in social framing. We argue that an epistemic community is able to influence production, circulation, and application of deforestation related knowledge. Furthermore, in a situation of weak and contradictory...

Diversity of Perceptions on REDD+ Implementation at the Agriculture Frontier in Panama

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Guillaume Peterson St-Laurent

2013-01-01

Full Text Available Colonist farmers have been largely ignored to date in national consultations on reducing emissions from deforestation and forest degradation (REDD+. Yet, good practices suggest that understanding all relevant stakeholders’ perspectives, goals, and issues is a precondition for the development of successful environmental policies. The present research documents perceptions of the civil society and the government on the possibility of successfully implementing REDD+ activities with colonist farmers. The focus is on Eastern Panama. The perceptions on REDD+ vary greatly depending on the stakeholders’ origins. The government perceives REDD+ as a possibility for improving laws, increasing control over the national territory, and investing more resources for conservation and public institutions, whereas respondents from colonist backgrounds mostly insist on the potential economic benefits and/or the negative implications that could encompass REDD+. Noncolonist participants from regional, national, and international organizations instead try to balance concerns of communities and conservation objectives. Because one of our results highlighted the difficulty of colonist farmers in speaking as a united voice, we carried out a case study of a successful colonists association in order to identify the characteristics and practices found to facilitate communal organization.

Nested governance for effective REDD+: Institutional and political arguments

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Prakash Kashwan

2014-08-01

Full Text Available Reducing Emissions from Deforestation and Forest Degradation and Forest Enhancement (REDD+ has become a central focus of global climate change mitigation efforts. Even though the international demand for forest-based carbon sequestration is the key driver of REDD+, forest protection strategies must be implemented on the ground. This cross-scale nature of REDD+ explains why scholars and policy makers increasingly favor nested governance arrangements over either fully centralized or fully decentralized REDD+ governance. The focus of the literature on nested REDD+ governance has mostly been on monitoring, reporting, and verification of carbon emission reductions across sub-national, national, and international levels. We build on Ostrom’s principle of ‘nested enterprises’ to argue that REDD+ must be designed to systematically and formally link national policy reforms with the organization and execution of sub-national (regional and local forest conservation efforts led by forest users. We also contribute new insights on the political dimensions of nestedness in REDD+, with important roles for inter-community forestry associations and forest rights movements.

A comparative assessment of the financial costs and carbon benefits of REDD+ strategies in Southeast Asia

Science.gov (United States)

Graham, Victoria; Laurance, Susan G.; Grech, Alana; McGregor, Andrew; Venter, Oscar

2016-11-01

REDD+ holds potential for mitigating emissions from tropical forest loss by providing financial incentives for carbon stored in forests, but its economic viability is under scrutiny. The primary narrative raised in the literature is that REDD+ will be of limited utility for reducing forest carbon loss in Southeast Asia, while the level of finance committed falls short of profits from alternative land-use activities in the region, including large-scale timber and oil palm operations. Here we assess the financial costs and carbon benefits of various REDD+ strategies deployed in the region. We find the cost of reducing emissions ranges from 9 to 75 per tonne of avoided carbon emissions. The strategies focused on reducing forest degradation and promoting forest regrowth are the most cost-effective ways of reducing emissions and used in over 60% of REDD+ projects. By comparing the financial costs and carbon benefits of a broader range of strategies than previously assessed, we highlight the variation between different strategies and draw attention to opportunities where REDD+ can achieve maximum carbon benefits cost-effectively. These findings have broad policy implications for Southeast Asia. Until carbon finance escalates, emissions reductions can be maximized from reforestation, reduced-impact logging and investing in improved management of protected areas. Targeting cost-efficient opportunities for REDD+ is important to improve the efficiency of national REDD+ policy, which in-turn fosters greater financial and political support for the scheme.

Are REDD+ community forest projects following the principles for collective action, as proposed by Ostrom?

Directory of Open Access Journals (Sweden)

Abdul-Razak Saeed

2017-03-01

Full Text Available Forested countries in the global south that have agreed to engage in REDD+, a policy mechanism for addressing climate change, are receiving support to improve laws, policies, systems and structures. As a mechanism initiated at the global level and seeking to use forests to address a global commons crisis (atmospheric carbon concentration, understanding how REDD+ translates into implementation at the local level is essential. Therefore, using a systematic review approach, we examined 15 studies of REDD+ in the context of public and/or community managed forests, drawn from a comprehensive application of inclusion criteria to identify relevant published peer-reviewed empirical research. The common property resources literature was used to highlight the role of local institutions in REDD+ and to distil how REDD+ community forest projects conform to Ostrom’s collective action principles. The review revealed limited sharing of information and decision-making authority with communities; a general absence of FPIC; and a lack of defined benefit sharing and conflict resolution arrangements in many of the REDD+ projects.

REDD+ emissions estimation and reporting: dealing with uncertainty

International Nuclear Information System (INIS)

Pelletier, Johanne; Potvin, Catherine; Martin, Davy

2013-01-01

The United Nations Framework Convention on Climate Change (UNFCCC) defined the technical and financial modalities of policy approaches and incentives to reduce emissions from deforestation and forest degradation in developing countries (REDD+). Substantial technical challenges hinder precise and accurate estimation of forest-related emissions and removals, as well as the setting and assessment of reference levels. These challenges could limit country participation in REDD+, especially if REDD+ emission reductions were to meet quality standards required to serve as compliance grade offsets for developed countries’ emissions. Using Panama as a case study, we tested the matrix approach proposed by Bucki et al (2012 Environ. Res. Lett. 7 024005) to perform sensitivity and uncertainty analysis distinguishing between ‘modelling sources’ of uncertainty, which refers to model-specific parameters and assumptions, and ‘recurring sources’ of uncertainty, which refers to random and systematic errors in emission factors and activity data. The sensitivity analysis estimated differences in the resulting fluxes ranging from 4.2% to 262.2% of the reference emission level. The classification of fallows and the carbon stock increment or carbon accumulation of intact forest lands were the two key parameters showing the largest sensitivity. The highest error propagated using Monte Carlo simulations was caused by modelling sources of uncertainty, which calls for special attention to ensure consistency in REDD+ reporting which is essential for securing environmental integrity. Due to the role of these modelling sources of uncertainty, the adoption of strict rules for estimation and reporting would favour comparability of emission reductions between countries. We believe that a reduction of the bias in emission factors will arise, among other things, from a globally concerted effort to improve allometric equations for tropical forests. Public access to datasets and methodology

REDD+ emissions estimation and reporting: dealing with uncertainty

Science.gov (United States)

Pelletier, Johanne; Martin, Davy; Potvin, Catherine

2013-09-01

The United Nations Framework Convention on Climate Change (UNFCCC) defined the technical and financial modalities of policy approaches and incentives to reduce emissions from deforestation and forest degradation in developing countries (REDD+). Substantial technical challenges hinder precise and accurate estimation of forest-related emissions and removals, as well as the setting and assessment of reference levels. These challenges could limit country participation in REDD+, especially if REDD+ emission reductions were to meet quality standards required to serve as compliance grade offsets for developed countries’ emissions. Using Panama as a case study, we tested the matrix approach proposed by Bucki et al (2012 Environ. Res. Lett. 7 024005) to perform sensitivity and uncertainty analysis distinguishing between ‘modelling sources’ of uncertainty, which refers to model-specific parameters and assumptions, and ‘recurring sources’ of uncertainty, which refers to random and systematic errors in emission factors and activity data. The sensitivity analysis estimated differences in the resulting fluxes ranging from 4.2% to 262.2% of the reference emission level. The classification of fallows and the carbon stock increment or carbon accumulation of intact forest lands were the two key parameters showing the largest sensitivity. The highest error propagated using Monte Carlo simulations was caused by modelling sources of uncertainty, which calls for special attention to ensure consistency in REDD+ reporting which is essential for securing environmental integrity. Due to the role of these modelling sources of uncertainty, the adoption of strict rules for estimation and reporting would favour comparability of emission reductions between countries. We believe that a reduction of the bias in emission factors will arise, among other things, from a globally concerted effort to improve allometric equations for tropical forests. Public access to datasets and methodology

Community Monitoring for REDD+: International Promises and Field Realities

Directory of Open Access Journals (Sweden)

Finn Danielsen

2013-09-01

Full Text Available Will community monitoring assist in delivering just and equitable REDD+? We assessed whether local communities can effectively estimate carbon stocks in some of the world's most carbon rich forests, using simple field protocols, and we reviewed whether community monitoring exists in current REDD+ pilots. We obtained similar results for forest carbon when measured by communities and professional foresters in 289 vegetation plots in Southeast Asia. Most REDD+ monitoring schemes, however, contain no community involvement. To close the gulf between United Nations Framework Convention on Climate Change texts on involving communities and field implementation realities, we propose greater embedding of community monitoring within national REDD+ pilot schemes, which we argue will lead to a more just REDD+.

Pathways for implementing REDD+. Experiences from carbon markets and communities

Energy Technology Data Exchange (ETDEWEB)

Zhu, X; Ravnkilde Moeller, L; Lopez, T De; Romero, M Z

2011-07-01

This issue of Carbon Market Perspectives on 'Pathways for implementing REDD+: Experience from carbon markets and communities' discusses the role of carbon markets in scaling up investments for REDD+ in developing countries. Nine articles authored by experienced negotiators on REDD+, carbon market actors, project developers and other leading experts share experiences and make suggestions on the key elements of a future international REDD+ regime: Architecture and underlying principles, measuring, reporting and verification (MRV), private-sector involvement, the rights of indigenous people and local communities, biodiversity conservation and environmental integrity. The articles are grouped under three main topics: the lessons of existing REDD+ projects; the future REDD+ regime and the role of carbon markets; and experiences and ideas about the involvement of indigenous people and local communities. (LN)

REDD+ and the Clean Development Mechanism: A comparative perspective

Directory of Open Access Journals (Sweden)

Lovleen Bhullar

2013-04-01

Full Text Available The program, ‘Reducing Emissions from Deforestation and Forest Degradation’ (REDD, which operates within the international climate change policy framework, is projected to emerge as one of the key climate change mitigation mechanisms for developing countries. The existing Afforestation/Reforestation (A/R mechanism, operating under the Clean Development Mechanism of the Kyoto Protocol to the United Nations Framework Convention on Climate Change, may prove useful for drawing lessons for the emerging REDD program, since both mechanisms represent flexible means for developed countries to achieve compliance with their mitigation targets under the Kyoto Protocol. The possible means include CDM as the basis for a project-based approach for the implementation of REDD (if adopted or the inclusion of REDD within CDM. This article compares the features of A/R CDM and REDD, identifies similarities and differences, and analyses the extent to which the former can provide guidance for the development of a carbon governance mechanism for REDD.

Beyond rhetoric: South-South collaboration for REDD+

Energy Technology Data Exchange (ETDEWEB)

Nhantumbo, Isilda; MacQueen, Duncan

2011-11-15

Global debates about reducing emissions from deforestation and forest degradation, and promoting conservation, sustainable forest management and enhancement of forest carbon stocks (REDD+) emphasise the need for strategies to build on existing knowledge. In one example of South-South collaboration to do just this, IIED has helped facilitate a Mozambique-Brazil partnership to share expertise and create a unique REDD+ working group. The initiative provides key lessons for other countries contemplating South-South collaboration on REDD+, including the need for charismatic champions, continuity in government representation, and integration across sectors.

Pathways for implementing REDD+. Experiences from carbon markets and communities

Energy Technology Data Exchange (ETDEWEB)

Zhu, X.; Ravnkilde Moeller, L.; Lopez, T. De; Romero, M.Z.

2011-07-01

This issue of Carbon Market Perspectives on 'Pathways for implementing REDD+: Experience from carbon markets and communities' discusses the role of carbon markets in scaling up investments for REDD+ in developing countries. Nine articles authored by experienced negotiators on REDD+, carbon market actors, project developers and other leading experts share experiences and make suggestions on the key elements of a future international REDD+ regime: Architecture and underlying principles, measuring, reporting and verification (MRV), private-sector involvement, the rights of indigenous people and local communities, biodiversity conservation and environmental integrity. The articles are grouped under three main topics: the lessons of existing REDD+ projects; the future REDD+ regime and the role of carbon markets; and experiences and ideas about the involvement of indigenous people and local communities. (LN)

Operationalizing social safeguards in REDD+: actors, interests and ideas

International Nuclear Information System (INIS)

McDermott, Constance L.; Coad, Lauren; Helfgott, Ariella; Schroeder, Heike

2012-01-01

“REDD+” is a mechanism created under the United Nations Framework Convention on Climate Change (UNFCCC) for Reducing {carbon} Emissions from Deforestation and Degradation and forest enhancement. In addition, REDD+ “safeguards” are intended to protect non-carbon forest values. While REDD+ countries are formally requested to provide information on safeguards, there is as yet no agreement on the relative priority of carbon versus non-carbon values, and the appropriate level of safeguard standardization. This, we argue, has allowed REDD+ to function as a “boundary object” spanning disparate priorities. Meanwhile, the contestation of these priorities has been displaced from intergovernmental processes to the various organizations involved in operationalizing REDD+ activities. This article applies a set of organizational, substantive and conceptual typologies to compare differences in the balance of actors, interests and ideas across these organizations. It finds that multi-lateral funding programs have drawn heavily on existing safeguards for international aid, while private certification schemes have specialized in different niche priorities at the project level. In regards to the substance of safeguard requirements, the involvement of donors and investors appears correlated with a stronger emphasis on carbon and risk mitigation while greater NGO involvement and the decoupling of safeguards design from REDD+ funding appear correlated with greater emphasis on social rights and benefits. These findings have several critical implications for future REDD+ activities. Firstly, the choice of organizations involved in defining, funding and verifying safeguard activities, and the balance of actors in their governing structures, are likely to influence the relative emphasis on non-carbon values. Secondly, a diversity of approaches to disbursing REDD+ incentives may be necessary to maintain widespread support for REDD+. Thirdly, it remains to be seen whether REDD

Beyond forestry: why agriculture is key to success of REDD+

Energy Technology Data Exchange (ETDEWEB)

Grieg-Gran, Maryanne

2010-11-15

When it comes to deforestation, the task of reconciling climate and development goals poses a daunting challenge. Forest clearing is both the source of significant greenhouse gas emissions that fuel climate change and, for some farmers, the most practical means for expanding agricultural production to meet rising food demands. 'REDD' or 'REDD+' mechanisms for reducing emissions from deforestation and forest degradation, by providing developing countries with incentives to conserve their forests, are rapidly gaining credence as effective tools for mitigating climate change. But if they are to work, they must pay more attention to the role of agriculture in deforestation and the implications for food security of reducing deforestation. Improving agricultural productivity will be key. But productivity gains must not undermine REDD+ efforts. This means nurturing low-emission alternatives to forest clearing. It means supporting poor farmers to adapt to climate change. Above all, it means climate, forest and agriculture policy communities must work together.

Costs, cobenefits, and community responses to REDD+: a case study from Nepal

Directory of Open Access Journals (Sweden)

Bishnu P. Sharma

2017-06-01

Full Text Available We examine the role of subnational institutions in carbon sequestration and assess whether community forest user groups can meet both existing forest needs and international carbon demand. By conducting a qualitative evaluation of a pilot program in Nepal that made carbon payments to forest user groups, we examine if community forestry institutions can be effective, efficient, and equitable in implementing Reducing Emissions from Deforestation and Forest Degradation (REDD+. Our evaluation relies on focus group discussions, meetings, and community and program documents of forestry user groups that participated in the REDD+ pilot and matched groups that did not. Compared to control groups, REDD+ user groups appear to be more effective in carbon sequestration, perhaps because of increased prevention of forest fires and grazing, nursery establishment, and other forest management. REDD+ user groups report a larger number of forest conservation, forest utilization, and community development activities relative to control groups. Participating communities bear transaction costs of US$4.5/hectare and implementation costs of US$2.5/hectare on average (or NPR 50,000 (US$600 per year. The mean REDD+ rent per ton of additional carbon sequestered was US$1.3. Targeting of benefits improves partly because some marginalized groups, particularly women, participate more in the planning and management. In terms of equity, microcredit and capacity development activities were skewed to the poorest households, whereas alternate fuel and carbon monitoring were more advantageous to middle or high income households. Overall, our analyses suggest that REDD+ activities can be successfully executed, if communities receive technical and capacity building support for institutional strengthening, in addition to carbon payments.

On fair, effective and efficient REDD mechanism design

CSIR Research Space (South Africa)

Obersteiner, M

2009-11-01

Full Text Available two key requirements of any potential REDD mechanism: first, the generation of measurable, reportable and verifiable (MRV) REDD credits; and secondly, the sustainable and efficient provision of emission reductions under a robust financing regime...

Can REDD+ Reconcile Local Priorities and Needs with Global Mitigation Benefits? Lessons from Angai Forest, Tanzania

Directory of Open Access Journals (Sweden)

Irmeli Mustalahti

2012-03-01

Full Text Available The scope of the reducing emissions from deforestation and forest degradation (REDD mechanism has broadened REDD+ to accommodate different country interests such as natural forests, protected areas, as well as forests under community-based management. In Tanzania the REDD+ mechanism is still under development and pilot projects are at an early stage. In this paper, we seek to understand how local priorities and needs could be met in REDD+ implementation and how these expectations match with global mitigation benefits. We examine the local priorities and needs in the use of land and forest resources in the Angai Villages Land Forest Reserve (AVLFR in the Liwale District of Lindi Region in Tanzania. Primary data was collected in two villages, Mihumo and Lilombe, using semistructured key informant interviews and participatory rural appraisal methods. In addition, the key informant interviews were conducted with other village, district, and national level actors, as well as international donors. Findings show that in the two communities REDD+ is seen as something new and is generating new expectations among communities. However, the Angai villagers highlight three key priorities that have yet to be integrated into the design of REDD+: water scarcity, rural development, and food security. At the local level improved forest governance and sustainable management of forest resources have been identified as one way to achieve livelihood diversification. Although the national goals of REDD+ include poverty reduction, these goals are not necessarily conducive to the goals of these communities. There exist both structural and cultural limits to the ability of the Angai villages to implement these goals and to improve forestry governance. Given the vulnerability to current and future climate variability and change it will be important to consider how the AVLFR will be managed and for whose benefit?

Sources and magnitude of sampling error in redd counts for bull trout

Science.gov (United States)

Jason B. Dunham; Bruce Rieman

2001-01-01

Monitoring of salmonid populations often involves annual redd counts, but the validity of this method has seldom been evaluated. We conducted redd counts of bull trout Salvelinus confluentus in two streams in northern Idaho to address four issues: (1) relationships between adult escapements and redd counts; (2) interobserver variability in redd...

On fair, effective and efficient REDD mechanism design

Directory of Open Access Journals (Sweden)

Gusti Mykola

2009-11-01

Full Text Available Abstract The issues surrounding 'Reduced Emissions from Deforestation and Forest Degradation' (REDD have become a major component of continuing negotiations under the United Nations Framework Convention on Climate Change (UNFCCC. This paper aims to address two key requirements of any potential REDD mechanism: first, the generation of measurable, reportable and verifiable (MRV REDD credits; and secondly, the sustainable and efficient provision of emission reductions under a robust financing regime. To ensure the supply of MRV credits, we advocate the establishment of an 'International Emission Reference Scenario Coordination Centre' (IERSCC. The IERSCC would act as a global clearing house for harmonized data to be used in implementing reference level methodologies. It would be tasked with the collection, reporting and subsequent processing of earth observation, deforestation- and degradation driver information in a globally consistent manner. The IERSCC would also assist, coordinate and supervise the computation of national reference scenarios according to rules negotiated under the UNFCCC. To overcome the threats of "market flooding" on the one hand and insufficient economic incentives for REDD on the other hand, we suggest an 'International Investment Reserve' (IIR as REDD financing framework. In order to distribute the resources of the IIR we propose adopting an auctioning mechanism. Auctioning not only reveals the true emission reduction costs, but might also allow for incentivizing the protection of biodiversity and socio-economic values. The introduced concepts will be vital to ensure robustness, environmental integrity and economic efficiency of the future REDD mechanism.

REDD-plus and China's contribution

International Nuclear Information System (INIS)

Shuyong, Li; Mei, Huang; Shenggong, Li

2014-01-01

The United Nations' program Reducing Emissions from Deforestation and forest Degradation (REDD) seeks to reduce emissions resulting from deforestation and forest degradation in developing countries. The program's overarching goal is to curb rising CO 2 levels and combat global climate change, and it focuses in particular on nations in or near the tropics that possess abundant rainforest resources. REDD-plus upgrades the program to include additional emphases on the roles of conservation, sustainable management of forests, and enhancement of forest carbon stocks. China has one of the world's richest forest resources and, through its afforestation and reforestation efforts, also possesses the world's largest reserve of planted forests. Currently, most of China's forests are young and/or mid-aged, and, as a result, China is positioned to make significant contributions to REDD-plus through sustainable forest management that enhanced forest carbon stocks. Though REDD-plus does not represent a comprehensive solution to global climate change, it can help stabilize rising temperatures and buy time for researchers to devise solutions that target the greenhouse effect

Assessment Of Current State And Impact Of REDD On Livelihood Of Local People In Rungwe District Tanzania

Directory of Open Access Journals (Sweden)

Fredrick Ojija

2015-08-01

Full Text Available Abstract A climate change mitigation mechanism Reducing Emission from Deforestation and forest Degradation REDD is anticipated to affect livelihoods of forest dependent communities. This study was conducted to establish this impact on livelihoods of local people in Rungwe District Tanzania. Data were collected through questionnaires group discussions and interviews from three villages Syukula Ilolo and Kibisi. Results showed that households annual income and crop production are higher after REDD implementation. The older respondents 40 years old considered REDD to be important for forest management compared to younger generation 40 years old p0.05. Similarly the older respondents considered wood forest products such as fuelwood charcoal timber and poles to be reduced. There was a widespread awareness about REDDs objectives among household respondents. Therefore REDD proponents should implement alternative sources of livelihoods to help local people improve their income and reduce dependence on the forest resources and eventually decrease deforestation and forest degradation.

The progress on governing REDD+ in Indonesia

Directory of Open Access Journals (Sweden)

Mas Achmad Santosa

2013-07-01

Full Text Available Indonesia is one of the ten most forest-rich countries in the world. Almost 70 per cent of Indonesia’s mainland is covered with forest. However, Indonesia faces one of the highest rates of forest loss in the world. Deforestation and forest degradation accounts for more than 60 per cent of carbon emissions in Indonesia. Being aware of that fact and the danger of climate change, in October 2009, Indonesia voluntarily committed to reduce emissions by 26 per cent from business as usual by 2020 through national efforts, and by 41 per cent with international support. Indonesia’s commitment has gained international support; chiefly from Norway, which signed a Letter of Intent on 26 May 2010. To formalise the commitment, Presidential Decree No 19/2010 on Task Force for the preparation of REDD+ Agency and Presidential Instruction No 10/2011 on moratorium on new licenses and improvement of natural primary forest and peat land governance have been issued. The Presidential Decree ended on 30 June 2011 and was continued by Presidential Decree No 25/2011, which was later amended by Presidential Decree No 05/2013. The third Presidential Decree will conclude in the middle of 2013. The expected outputs are: establishment of a New REDD+ agency; measurement, reporting and verification instrument; funding instrument; improvement on forest governance, including legislative reform, law enforcement and administrative procedures; and gazetting forest areas and consolidating licenses through legal audit and legal compliance or legal due diligence in the pilot province. The new REDD+ Agency is expected to be established in 2013. The Agency will be an independent central agency, directly responsible to the President of the Republic of Indonesia, and will be responsible for leading and coordinating the national effort to reduce the country’s carbon emission.

FAO UN-REDD- INPE Joint Programme on Forest Monitoring Systems based on RS and GIS techniques

Science.gov (United States)

Jonckheere, I. G.; FAO UN-REDD MRV Team

2010-12-01

Capacity Development and Training for National Forest Monitoring Systems for Reducing Emissions from Deforestation and Forest Degradation in Developing Countries (REDD+) REDD+, which stands for ’Reducing Emissions from Deforestation and Forest Degradation in Developing Countries’ - is an effort to create a financial value for the carbon stored in forests, offering incentives for developing countries to reduce emissions from forested lands and invest in low-carbon paths to sustainable development. The UN-REDD Programme, a collaborative partnership between FAO, UNDP and UNEP launched in September 2008, supports countries to develop capacity to REDD+ and to implement a future REDD+ mechanism in a post-2012 climate regime. The programme works at both the national and global scale, through support mechanisms for country-driven REDD strategies and international consensus-building on REDD+ processes. The UN-REDD Programme gathers technical teams from around the world to develop common approaches, analyses and guidelines on issues such as measurement, reporting and verification (MRV) of carbon emissions and flows, remote sensing, and greenhouse gas inventories. Within the partnership, FAO supports countries on technical issues related to forestry and the development of cost effective and credible MRV processes for emission reductions. While at the international level, it fosters improved guidance on MRV approaches, including consensus on principles and guidelines for MRV and training programmes. It provides guidance on how best to design and implement REDD+, to ensure that forests continue to provide multiple benefits for livelihoods and biodiversity to societies while storing carbon at the same time. Other areas of work include national forest assessments and monitoring of in-country policy and institutional change. FAO and INPE (Brazilian Space Agency) have joint forces through a MoU signed last year in Copenhagen. A major joint programme has been agreed upon to set

REDD comes into fashion in Madagascar | Ferguson | Madagascar ...

African Journals Online (AJOL)

As the Copenhagen negotiations on the form of post Kyoto mechanisms to tackle climate change approach, firmly on the agenda are proposals to include Reduced Emissions from Deforestation and forest Degradation (REDD). REDD could potentially generate tens of millions of dollars annually for. Madagascar, bringing a ...

Commentary on fair, effective and efficient REDD mechanism design

CSIR Research Space (South Africa)

Obersteiner, M

2009-11-01

Full Text Available two key requirements of any potential REDD mechanism: first, the generation of measurable, reportable and verifiable (MRV) REDD credits; and secondly, the sustainable and efficient provision of emission reductions under a robust financing regime...

Talking REDD+: Beyond forestry - joining up and moving forward

Energy Technology Data Exchange (ETDEWEB)

Nhantumbo, Isilda; Rolington, Leianne

2011-12-15

On Sunday 27 November 2011, the eve of the 17th conference of the parties to the UNFCCC (COP17), the International Institute for Environment and Development, together with its partners, hosted a South-South learning event, 'REDD+, poverty reduction and sustainable development: are there cost-effective and pro-poor options?' This was a platform to share information about the practices that already work, to discuss how REDD+ can build on and scale up cost-effective options that deal with the fundamental problem of climate change. Deforestation and degradation of forests requires concerted interventions across national and regional borders. Learning from each other's experience in dealing with the underlying problems and understanding how to adapt them to a different local context is critical – and will help to both ensure its success and to lower transaction costs. This briefing gives an overview of the key REDD+ issues, in particular: integrating mitigation and adaptation actions; addressing tenure; learning from participatory forest management and payment for ecosystems services; taking the right approach to gender; developing safeguards to minimize negative impacts of REDD+; and strengthening South-South collaboration to reduce the transaction costs of REDD+.

Maximizing biodiversity co-benefits under REDD+: a decoupled approach

International Nuclear Information System (INIS)

Potts, Matthew D; Kelley, Lisa C; Doll, Hannah M

2013-01-01

Current debates on biodiversity co-benefits under REDD+ are marked by considerable ambiguity and contention. Nevertheless, REDD+ continues to represent one of the most important opportunities for global biodiversity conservation, and the question of how best to achieve biodiversity co-benefits remains an important one. Thus far, most biodiversity conservation in the context of REDD+ is predicated on the notion that services are co-located on a landscape. In contrast, this letter argues that decoupling biodiversity and carbon services on a landscape through national-level planning is a better approach to biodiversity conservation under REDD+. We discuss the fundamental ecological differences between the two services and use principles of resource economics to demonstrate that a decoupled approach will be more efficient, more flexible, and better able to mobilize sufficient finance for biodiversity conservation than a coupled approach. (letter)

Maximizing biodiversity co-benefits under REDD+: a decoupled approach

Science.gov (United States)

Potts, Matthew D.; Kelley, Lisa C.; Doll, Hannah M.

2013-06-01

Current debates on biodiversity co-benefits under REDD+ are marked by considerable ambiguity and contention. Nevertheless, REDD+ continues to represent one of the most important opportunities for global biodiversity conservation, and the question of how best to achieve biodiversity co-benefits remains an important one. Thus far, most biodiversity conservation in the context of REDD+ is predicated on the notion that services are co-located on a landscape. In contrast, this letter argues that decoupling biodiversity and carbon services on a landscape through national-level planning is a better approach to biodiversity conservation under REDD+. We discuss the fundamental ecological differences between the two services and use principles of resource economics to demonstrate that a decoupled approach will be more efficient, more flexible, and better able to mobilize sufficient finance for biodiversity conservation than a coupled approach.

Spatial patterns of carbon, biodiversity, deforestation threat, and REDD+ projects in Indonesia.

Science.gov (United States)

Murray, Josil P; Grenyer, Richard; Wunder, Sven; Raes, Niels; Jones, Julia P G

2015-10-01

There are concerns that Reduced Emissions from Deforestation and forest Degradation (REDD+) may fail to deliver potential biodiversity cobenefits if it is focused on high carbon areas. We explored the spatial overlaps between carbon stocks, biodiversity, projected deforestation threats, and the location of REDD+ projects in Indonesia, a tropical country at the forefront of REDD+ development. For biodiversity, we assembled data on the distribution of terrestrial vertebrates (ranges of amphibians, mammals, birds, reptiles) and plants (species distribution models for 8 families). We then investigated congruence between different measures of biodiversity richness and carbon stocks at the national and subnational scales. Finally, we mapped active REDD+ projects and investigated the carbon density and potential biodiversity richness and modeled deforestation pressures within these forests relative to protected areas and unprotected forests. There was little internal overlap among the different hotspots (richest 10% of cells) of species richness. There was also no consistent spatial congruence between carbon stocks and the biodiversity measures: a weak negative correlation at the national scale masked highly variable and nonlinear relationships island by island. Current REDD+ projects were preferentially located in areas with higher total species richness and threatened species richness but lower carbon densities than protected areas and unprotected forests. Although a quarter of the total area of these REDD+ projects is under relatively high deforestation pressure, the majority of the REDD+ area is not. In Indonesia at least, first-generation REDD+ projects are located where they are likely to deliver biodiversity benefits. However, if REDD+ is to deliver additional gains for climate and biodiversity, projects will need to focus on forests with the highest threat to deforestation, which will have cost implications for future REDD+ implementation. © 2015 The Authors

Spatial patterns of carbon, biodiversity, deforestation threat, and REDD+ projects in Indonesia

Science.gov (United States)

Murray, Josil P; Grenyer, Richard; Wunder, Sven; Raes, Niels; Jones, Julia PG

2015-01-01

There are concerns that Reduced Emissions from Deforestation and forest Degradation (REDD+) may fail to deliver potential biodiversity cobenefits if it is focused on high carbon areas. We explored the spatial overlaps between carbon stocks, biodiversity, projected deforestation threats, and the location of REDD+ projects in Indonesia, a tropical country at the forefront of REDD+ development. For biodiversity, we assembled data on the distribution of terrestrial vertebrates (ranges of amphibians, mammals, birds, reptiles) and plants (species distribution models for 8 families). We then investigated congruence between different measures of biodiversity richness and carbon stocks at the national and subnational scales. Finally, we mapped active REDD+ projects and investigated the carbon density and potential biodiversity richness and modeled deforestation pressures within these forests relative to protected areas and unprotected forests. There was little internal overlap among the different hotspots (richest 10% of cells) of species richness. There was also no consistent spatial congruence between carbon stocks and the biodiversity measures: a weak negative correlation at the national scale masked highly variable and nonlinear relationships island by island. Current REDD+ projects were preferentially located in areas with higher total species richness and threatened species richness but lower carbon densities than protected areas and unprotected forests. Although a quarter of the total area of these REDD+ projects is under relatively high deforestation pressure, the majority of the REDD+ area is not. In Indonesia at least, first-generation REDD+ projects are located where they are likely to deliver biodiversity benefits. However, if REDD+ is to deliver additional gains for climate and biodiversity, projects will need to focus on forests with the highest threat to deforestation, which will have cost implications for future REDD+ implementation. Los Patrones Espaciales

Emissions Scenarios, Costs, and Implementation Considerations of REDD Programs

Energy Technology Data Exchange (ETDEWEB)

Sathaye, Jayant; Andrasko, Ken; Chan, Peter

2011-04-11

Greenhouse gas emissions from the forestry sector are estimated to be 8.4 GtCO2-eq./year or about 17percent of the global emissions. We estimate that the cost forreducing deforestation is low in Africa and several times higher in Latin America and Southeast Asia. These cost estimates are sensitive to the uncertainties of how muchunsustainable high-revenue logging occurs, little understood transaction and program implementation costs, and barriers to implementation including governance issues. Due to lack of capacity in the affected countries, achieving reduction or avoidance of carbon emissions will require extensive REDD-plus programs. Preliminary REDD-plus Readiness cost estimates and program descriptions for Indonesia, Democratic Republic of the Congo, Ghana, Guyana and Mexico show that roughly one-third of potential REDD-plus mitigation benefits might come from avoided deforestation and the rest from avoided forest degradation and other REDD-plus activities.

A Step Prior to REDD+ Implementation: A Socioeconomic Study

Directory of Open Access Journals (Sweden)

Anne Bernard

2014-01-01

Full Text Available Phase 2 of the United Nations’ REDD+ climate change mitigation initiative is underway in the Democratic Republic of Congo. Meanwhile, activities are being implemented to assess the reduction of emissions from deforestation and forest degradation. REDD+ projects need to include a social dimension; thus, the aim of this research was to understand how land-use relationships vary across communities in an area where a REDD+ project is planned. Specifically, we aimed to identify the primary income-generating activities, the variation in access to land, the potential for the development of community projects, and the implementation of alternative income-generating activities. In the summer of 2013, we assessed a REDD+ pilot project in and around the Luki Biosphere Reserve, Bas-Congo Province. We used participatory rural appraisal (PRA methods in four communities located both inside and outside the reserve. We found that current subsistence income activities led to the destruction of forest habitat due to population pressure and a lack of alternative income-generating activities. Customary land tenures overlay statutory rights, which can often mean that community rights are threatened. To achieve their targets, REDD+ projects should consider the actual land-use patterns of local communities in order to generate sustainable income from the land.

Slippery Violence in the REDD+ Forests of Central Kalimantan, Indonesia

Directory of Open Access Journals (Sweden)

Peter Howson

2018-01-01

Full Text Available Due to increasing global demand for palm oil, coal, and timber, Indonesia has become the largest contributor of greenhouse gases from primary forest loss in the world. Carbon market mechanisms, like Reducing Emissions from Deforestation and forest Degradation (REDD+, are being promoted by many elements of Indonesia's government as an effective policy response. The REDD+ programme is designed to enable the provision of financial compensations to protect and restore standing forests by making them more valuable than the timber they contain. However, the logic of REDD+ constructs people living in and around project sites as environmentally destructive and therefore in need of incentivisation to do otherwise. Local people are compensated for the 'opportunity costs' of not degrading forests. Within this frame ‘locals’—suffering from the malaise of dispossession—are Othered as illegal loggers, poachers, greedy miners or arsonists. In reality, REDD+ often facilitates the continuation of violence, legitimising an image of small-holders, rather than large international corporations, as the cause of forest degradation in Indonesia. Focusing on the Sungai Lamandau REDD+ project of Central Kalimantan, I discuss how, for some of Sungai Lamandau's landless farmers, REDD+ is accelerating the very violence and environmentally destructive behaviours it claims to discourage. Farmers are becoming embroiled in other ongoing processes, pushing them towards illicit livelihood strategies, sometimes with devastating outcomes.

Integrating remotely sensed fires for predicting deforestation for REDD.

Science.gov (United States)

Armenteras, Dolors; Gibbes, Cerian; Anaya, Jesús A; Dávalos, Liliana M

2017-06-01

Fire is an important tool in tropical forest management, as it alters forest composition, structure, and the carbon budget. The United Nations program on Reducing Emissions from Deforestation and Forest Degradation (REDD+) aims to sustainably manage forests, as well as to conserve and enhance their carbon stocks. Despite the crucial role of fire management, decision-making on REDD+ interventions fails to systematically include fires. Here, we address this critical knowledge gap in two ways. First, we review REDD+ projects and programs to assess the inclusion of fires in monitoring, reporting, and verification (MRV) systems. Second, we model the relationship between fire and forest for a pilot site in Colombia using near-real-time (NRT) fire monitoring data derived from the Moderate Resolution Imaging Spectroradiometer (MODIS). The literature review revealed fire remains to be incorporated as a key component of MRV systems. Spatially explicit modeling of land use change showed the probability of deforestation declined sharply with increasing distance to the nearest fire the preceding year (multi-year model area under the curve [AUC] 0.82). Deforestation predictions based on the model performed better than the official REDD early-warning system. The model AUC for 2013 and 2014 was 0.81, compared to 0.52 for the early-warning system in 2013 and 0.68 in 2014. This demonstrates NRT fire monitoring is a powerful tool to predict sites of forest deforestation. Applying new, publicly available, and open-access NRT fire data should be an essential element of early-warning systems to detect and prevent deforestation. Our results provide tools for improving both the current MRV systems, and the deforestation early-warning system in Colombia. © 2017 by the Ecological Society of America.

Seeing the forest for the trees: drivers and barriers for REDD

Energy Technology Data Exchange (ETDEWEB)

Reimer, Inken

2011-07-01

Greater coordination amongst donor countries is required in order to secure environmental and social standards and to monitor the readiness of host countries to move from the preparatory phase of REDD to generating actual reductions in emissions. Clear and binding environmental and social safeguards must be implemented to ensure equal credible standards for all REDD actors. Alternatives to public financing of REDD are necessary to secure long-term effectiveness of the mechanism. Demand for REDD is dependent on internationally agreed compliance obligations to reduce greenhouse gas emissions; demands from individual national emissions trading systems may impair the environmental quality of emission reduction units.(Author)

Monitoring, reporting and verification for national REDD + programmes: two proposals

International Nuclear Information System (INIS)

Herold, Martin; Skutsch, Margaret

2011-01-01

Different options have been suggested by Parties to the UNFCCC (United Framework Convention on Climate Change) for inclusion in national approaches to REDD and REDD + (reduced deforestation, reduced degradation, enhancement of forest carbon stocks, sustainable management of forest, and conservation of forest carbon stocks). This paper proposes that from the practical and technical points of view of designing action for REDD and REDD + at local and sub-national level, as well as from the point of view of the necessary MRV (monitoring, reporting and verification), these should be grouped into three categories: conservation, which is rewarded on the basis of no changes in forest stock, reduced deforestation, in which lowered rates of forest area loss are rewarded, and positive impacts on carbon stock changes in forests remaining forest, which includes reduced degradation, sustainable management of forest of various kinds, and forest enhancement. Thus we have moved degradation, which conventionally is grouped with deforestation, into the forest management group reported as areas remaining forest land, with which it has, in reality, and particularly as regards MRV, much more in common. Secondly, in the context of the fact that REDD/REDD + is to take the form of a national or near-national approach, we argue that while systematic national monitoring is important, it may not be necessary for REDD/REDD + activities, or for national MRV, to be started at equal levels of intensity all over the country. Rather, areas where interventions seem easiest to start may be targeted, and here data measurements may be more rigorous (Tier 3), for example based on stakeholder self-monitoring with independent verification, while in other, untreated areas, a lower level of monitoring may be pursued, at least in the first instance. Treated areas may be targeted for any of the three groups of activities (conservation, reduced deforestation, and positive impact on carbon stock increases in

Monitoring, reporting and verification for national REDD + programmes: two proposals

Energy Technology Data Exchange (ETDEWEB)

Herold, Martin [Center for Geoinformation, Department of Environmental Science, Wageningen University, Droevendaalsesteeg 3, 6708 PB Wageningen (Netherlands); Skutsch, Margaret, E-mail: martin.herold@wur.nl [Centro de Investigaciones en GeografIa Ambiental, UNAM Campus Morelia (Mexico)

2011-01-15

Different options have been suggested by Parties to the UNFCCC (United Framework Convention on Climate Change) for inclusion in national approaches to REDD and REDD + (reduced deforestation, reduced degradation, enhancement of forest carbon stocks, sustainable management of forest, and conservation of forest carbon stocks). This paper proposes that from the practical and technical points of view of designing action for REDD and REDD + at local and sub-national level, as well as from the point of view of the necessary MRV (monitoring, reporting and verification), these should be grouped into three categories: conservation, which is rewarded on the basis of no changes in forest stock, reduced deforestation, in which lowered rates of forest area loss are rewarded, and positive impacts on carbon stock changes in forests remaining forest, which includes reduced degradation, sustainable management of forest of various kinds, and forest enhancement. Thus we have moved degradation, which conventionally is grouped with deforestation, into the forest management group reported as areas remaining forest land, with which it has, in reality, and particularly as regards MRV, much more in common. Secondly, in the context of the fact that REDD/REDD + is to take the form of a national or near-national approach, we argue that while systematic national monitoring is important, it may not be necessary for REDD/REDD + activities, or for national MRV, to be started at equal levels of intensity all over the country. Rather, areas where interventions seem easiest to start may be targeted, and here data measurements may be more rigorous (Tier 3), for example based on stakeholder self-monitoring with independent verification, while in other, untreated areas, a lower level of monitoring may be pursued, at least in the first instance. Treated areas may be targeted for any of the three groups of activities (conservation, reduced deforestation, and positive impact on carbon stock increases in

REDD+ on the rocks? Conflict over forest and politics of justice in Vietnam

OpenAIRE

Sikor, Thomas; Cầm, Hoàng

2016-01-01

In Vietnam, villagers involved in a REDD+ (reduced emissions from deforestation and forest degradation) pilot protect areas with rocks which have barely a tree on them. The apparent paradox indicates how actual practices differ from general ideas about REDD+ due to ongoing conflict over forest, and how contestations over the meaning of justice are a core element in negotiations over REDD+. We explore these politics of justice by examining how the actors involved in the REDD+ pilot negotiate t...

Defining Solutions, Finding Problems: Deforestation, Gender, and REDD+ in Burkina Faso

Directory of Open Access Journals (Sweden)

Lisa Westholm

2015-01-01

Full Text Available Reducing Emissions from Deforestation and Degradation (REDD+ is a policy instrument meant to mitigate climate change while also achieving poverty reduction in tropical countries. It has garnered critics for homogenising environmental and development governance and for ignoring how similar efforts have tended to exacerbate gender inequalities. Nonetheless, regarding such schemes as inevitable, some feminists argue for requirements that include women′s empowerment and participation. In this paper we move beyond discussions about safeguards and examine whether the very framing of REDD+ programs can provide openings for a transformation as argued for by its proponents. Following the REDD+ policy process in Burkina Faso, we come to two important insights: REDD+ is a solution in need of a problem. Assumptions about gender are at the heart of creating ′actionable knowledge′ that enabled REDD+ to be presented as a policy solution to the problems of deforestation, poverty and gender inequality. Second, despite its ′safeguards′, REDD+ appears to be perpetuating gendered divisions of labour, as formal environmental decision-making moves upwards; and responsibility and the burden of actual environmental labour shifts further down in particularly gendered ways. We explore how this is enabled by the development of policies whose stated aims are to tackle inequalities.

Carbon righteousness: how to lever pro-poor benefits from REDD+

Energy Technology Data Exchange (ETDEWEB)

Scwarte, Christoph [Foundation for International Environmental Law and Development(United Kingdom); Mohammed, Essam Yassin

2011-07-15

A growing focus on mitigating climate change by reducing emissions from deforestation and forest degradation (REDD and REDD+) is prompting the creation of a new form of private property — the 'carbon right' — that can be bought and sold in domestic or international markets. But to make REDD+ work for the poor, carbon trading schemes will have to ensure that a wide range of forest-dependent groups and communities benefit. In part, this means carefully assessing how carbon rights are assigned — to ensure they support the rural poor who rarely hold formal land ownership or tenure rights but who are key players in putting sustainable forest management into practice on the ground. It also means rethinking eligibility criteria for REDD+ projects so that they include economic, social and environmental standards and co-benefits.

Is there an ideal REDD+ program? An analysis of policy trade-offs at the local level.

Science.gov (United States)

Dyer, George A; Matthews, Robin; Meyfroidt, Patrick

2012-01-01

We use economy-wide simulation methods to analyze the outcome of a simple REDD+ program in a mixed subsistence/commercial-agriculture economy. Alternative scenarios help trace REDD+'s causal chain, revealing how trade-offs between the program's public and private costs and benefits determine its effectiveness, efficiency and equity (the 3Es). Scenarios reveal a complex relationship between the 3Es not evident in more aggregate analyses. Setting aside land as a carbon sink always influences the productivity of agriculture and its supply of non-market goods and services; but the overall returns to land and labor-which ultimately determine the opportunity cost of enrollment, the price of carbon and the distribution of gains and losses-depend on local conditions. In the study area, market-oriented landowners could enroll 30% of local land into a cost-effective program, but local subsistence demands would raise their opportunity costs as REDD+ unfurls, increasing the marginal cost of carbon. A combination of rent and wage changes would create net costs for most private stakeholders, including program participants. Increasing carbon prices undermines the program's efficiency without solving its inequities; expanding the program reduces inefficiencies but increases private costs with only minor improvements in equity. A program that prevents job losses could be the best option, but its efficiency compared to direct compensation could depend on program scale. Overall, neither the cost nor the 3Es of alternative REDD+ programs can be assessed without accounting for local demand for subsistence goods and services. In the context of Mexico's tropical highlands, a moderate-sized REDD+ program could at best have no net impact on rural households. REDD+ mechanisms should avoid general formulas by giving local authorities the necessary flexibility to address the trade-offs involved. National programs themselves should remain flexible enough to adjust for spatially and temporally

Is there an ideal REDD+ program? An analysis of policy trade-offs at the local level.

Directory of Open Access Journals (Sweden)

George A Dyer

Full Text Available We use economy-wide simulation methods to analyze the outcome of a simple REDD+ program in a mixed subsistence/commercial-agriculture economy. Alternative scenarios help trace REDD+'s causal chain, revealing how trade-offs between the program's public and private costs and benefits determine its effectiveness, efficiency and equity (the 3Es. Scenarios reveal a complex relationship between the 3Es not evident in more aggregate analyses. Setting aside land as a carbon sink always influences the productivity of agriculture and its supply of non-market goods and services; but the overall returns to land and labor-which ultimately determine the opportunity cost of enrollment, the price of carbon and the distribution of gains and losses-depend on local conditions. In the study area, market-oriented landowners could enroll 30% of local land into a cost-effective program, but local subsistence demands would raise their opportunity costs as REDD+ unfurls, increasing the marginal cost of carbon. A combination of rent and wage changes would create net costs for most private stakeholders, including program participants. Increasing carbon prices undermines the program's efficiency without solving its inequities; expanding the program reduces inefficiencies but increases private costs with only minor improvements in equity. A program that prevents job losses could be the best option, but its efficiency compared to direct compensation could depend on program scale. Overall, neither the cost nor the 3Es of alternative REDD+ programs can be assessed without accounting for local demand for subsistence goods and services. In the context of Mexico's tropical highlands, a moderate-sized REDD+ program could at best have no net impact on rural households. REDD+ mechanisms should avoid general formulas by giving local authorities the necessary flexibility to address the trade-offs involved. National programs themselves should remain flexible enough to adjust for

REDD+ in West Africa: Politics of Design and Implementation in Ghana and Nigeria

Directory of Open Access Journals (Sweden)

Adeniyi P. Asiyanbi

2017-03-01

Full Text Available This paper analyses the design and implementation of Reducing Emissions from Deforestation and Degradation, conserving and enhancing forest carbon stocks, and sustainably managing forests (REDD+ in the West African region, an important global biodiversity area. Drawing on in-depth interviews, analysis of policy documents and observation of everyday activities, we sought to understand how REDD+ has been designed and implemented in Nigeria and Ghana. We draw on political ecology to examine how, and why REDD+ takes the form it does in these countries. We structure our discussion around three key dimensions that emerged as strong areas of common emphasis in our case studies—capacity building, carbon visibility, and property rights. First, we show that while REDD+ design generally foregrounds an ostensible inclusionary politics, its implementation is driven through various forms of exclusion. This contradictory inclusion–exclusion politics, which is partly emblematic of the neoliberal provenance of the REDD+ policy, is also a contingent reality and a strategy for navigating complexities and pursuing certain interests. Second, we show that though the emergent foci of REDD+ implementation in our case studies align with global REDD+ expectations, they still manifest as historically and geographically contingent processes that reflect negotiated and contested relations among actors that constitute the specific national circumstance of each country. We conclude by reflecting on the importance of our findings for understanding REDD+ projects in other tropical countries.

Monitoring, reporting and vrification for national REDD+programmes: two proposals

NARCIS (Netherlands)

Herold, M.; Skutsch, M.

2011-01-01

Different options have been suggested by Parties to the UNFCCC (United Framework Convention on Climate Change) for inclusion in national approaches to REDD and REDD + (reduced deforestation, reduced degradation, enhancement of forest carbon stocks, sustainable management of forest, and conservation

COMMUNICATING REDD+ ISSUES AT LOCAL LEVEL: CREATING LATENT AND MANIFEST CONFLICT

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Lukas Rumboko Wibowo

2013-10-01

Full Text Available ”Carbon offsetting”in forestry-related projects is widely regarded as the ideal solution to the three challenges of   the  21st Century:  climate change, biodiversity conservation  andsocio-economic development. At the same time, there is scepticism about the Reducing Emissions from Deforestation and  Forest  Degradation (REDD  proposal  particularly because of   the  weak  governance and institutional capacities in many developing countries, which could jeopardize the delivery of benefits at the local level. One major problem is that most people have little knowledge on the causes and consequences of the climate change. This is partly because the information  is largely scattered among scientific journals, and obscured by jargon and sophisticated  mathematical  models. Consequently, REDD+ is beyond thereach of  manyof the people affected by REDD+. This  paper examines the efforts and the capacity of  the local governments and other development  agents in explaining the REDD + issues and its impacts on the local people, especially customary communities. The research shows that lack of  policy communication and promotion, as well as consultations with the affected groups arethe main contributing factors to latent and manifest conflicts. In turn, this conflicth as proven that NGOs,  district governments and scientists have not been successful intermediaries. Thus, in the future policy communication on REDD+ should beaimed at improved network formation (i.e. between farmer groups with business partners and NGOs  and other related actors, learning, negotiation and relationship building (i.e. between members of farmer groups,  not only withtheir leaders within the farmer groups but also with governmental and business sectors. Policy communication should also create a  new  configuration of   support  and  services in  form  of   advocacy, empowerment and management skills and technical skills for conserving their

What Is a "Community Perception" of REDD+? A Systematic Review of How Perceptions of REDD+ Have Been Elicited and Reported in the Literature.

Science.gov (United States)

Atmadja, Stibniati S; Sills, Erin O

2016-01-01

Reducing emissions from deforestation and forest degradation (REDD+) is expected to generate co-benefits and safeguard the interests of people who live in the forested regions where emissions are reduced. Participatory measurement, reporting and verification (PMRV) is one way to ensure that the interests of local people are represented in REDD+. In order to design and use PMRV systems to monitor co-benefits and safeguards, we need to obtain input on how local people perceive REDD+. In the literature, this is widely discussed as "community perceptions of REDD+." We systematically reviewed this literature to understand how these perceptions have been assessed, focusing specifically on how individual perceptions have been sampled and aggregated into "community perceptions." Using Google Scholar, we identified 19 publications that reported community perceptions of REDD+, including perceptions of its design, implementation, impacts, relationship with land tenure, and both interest and actual participation by local people. These perceptions were elicited through surveys of probability samples of the local population and interviews with purposively selected community representatives. Many authors did not provide sufficient information on their methods to interpret the reported community perceptions. For example, there was often insufficient detail on the selection of respondents or sampling methods. Authors also reported perceptions by unquantified magnitudes (e.g., "most people", "the majority") that were difficult to assess or compare across cases. Given this situation in the scholarly literature, we expect that there are even more severe problems in the voluminous gray literature on REDD+ not indexed by Google Scholar. We suggest that readers need to be cognizant of these issues and that publication outlets should establish guidelines for better reporting, requiring information on the reference population, sampling methods, and methods used to aggregate individual

What Is a "Community Perception" of REDD+? A Systematic Review of How Perceptions of REDD+ Have Been Elicited and Reported in the Literature.

Directory of Open Access Journals (Sweden)

Stibniati S Atmadja

Full Text Available Reducing emissions from deforestation and forest degradation (REDD+ is expected to generate co-benefits and safeguard the interests of people who live in the forested regions where emissions are reduced. Participatory measurement, reporting and verification (PMRV is one way to ensure that the interests of local people are represented in REDD+. In order to design and use PMRV systems to monitor co-benefits and safeguards, we need to obtain input on how local people perceive REDD+. In the literature, this is widely discussed as "community perceptions of REDD+." We systematically reviewed this literature to understand how these perceptions have been assessed, focusing specifically on how individual perceptions have been sampled and aggregated into "community perceptions." Using Google Scholar, we identified 19 publications that reported community perceptions of REDD+, including perceptions of its design, implementation, impacts, relationship with land tenure, and both interest and actual participation by local people. These perceptions were elicited through surveys of probability samples of the local population and interviews with purposively selected community representatives. Many authors did not provide sufficient information on their methods to interpret the reported community perceptions. For example, there was often insufficient detail on the selection of respondents or sampling methods. Authors also reported perceptions by unquantified magnitudes (e.g., "most people", "the majority" that were difficult to assess or compare across cases. Given this situation in the scholarly literature, we expect that there are even more severe problems in the voluminous gray literature on REDD+ not indexed by Google Scholar. We suggest that readers need to be cognizant of these issues and that publication outlets should establish guidelines for better reporting, requiring information on the reference population, sampling methods, and methods used to

Financing and current capacity for REDD+ readiness and monitoring, measurement, reporting and verification in the Congo Basin.

Science.gov (United States)

Maniatis, Danae; Gaugris, Jérôme; Mollicone, Danilo; Scriven, Joel; Corblin, Alexis; Ndikumagenge, Cleto; Aquino, André; Crete, Philippe; Sanz-Sanchez, Maria-José

2013-01-01

This paper provides the first critical analysis of the financing and current capacity for REDD+ readiness in the Congo Basin, with a particular focus on the REDD+ component of national forest monitoring and measurement, reporting and verification (M&MRV). We focus on three areas of analysis: (i) general financing for REDD+ readiness especially M&MRV; (ii) capacity and information for REDD+ implementation and M&MRV; (iii) prospects and challenges for REDD+ and M&MRV readiness in terms of financing and capacity. For the first area of analysis, a REDD+ and M&MRV readiness financing database was created based on the information from the REDD+ voluntary database and Internet searches. For the second area of analysis, a qualitative approach to data collection was adopted (semi-structured interviews with key stakeholders, surveys and observations). All 10 countries were visited between 2010 and 2012. We find that: (i) a significant amount of REDD+ financing flows into the Congo Basin (±US$550 million or almost half of the REDD+ financing for the African continent); (ii) across countries, there is an important disequilibrium in terms of REDD+ and M&MRV readiness financing, political engagement, comprehension and capacity, which also appears to be a key barrier to countries receiving equal resources; (iii) most financing appears to go to smaller scale (subnational) REDD+ projects; (iv) four distinct country groups in terms of REDD+ readiness and M&MRV status are identified; and (v) the Congo Basin has a distinct opportunity to have a specific REDD+ financing window for large-scale and more targeted national REDD+ programmes through a specific fund for the region.

Financing and current capacity for REDD+ readiness and monitoring, measurement, reporting and verification in the Congo Basin

Science.gov (United States)

Maniatis, Danae; Gaugris, Jérôme; Mollicone, Danilo; Scriven, Joel; Corblin, Alexis; Ndikumagenge, Cleto; Aquino, André; Crete, Philippe; Sanz-Sanchez, Maria-José

2013-01-01

This paper provides the first critical analysis of the financing and current capacity for REDD+ readiness in the Congo Basin, with a particular focus on the REDD+ component of national forest monitoring and measurement, reporting and verification (M&MRV). We focus on three areas of analysis: (i) general financing for REDD+ readiness especially M&MRV; (ii) capacity and information for REDD+ implementation and M&MRV; (iii) prospects and challenges for REDD+ and M&MRV readiness in terms of financing and capacity. For the first area of analysis, a REDD+ and M&MRV readiness financing database was created based on the information from the REDD+ voluntary database and Internet searches. For the second area of analysis, a qualitative approach to data collection was adopted (semi-structured interviews with key stakeholders, surveys and observations). All 10 countries were visited between 2010 and 2012. We find that: (i) a significant amount of REDD+ financing flows into the Congo Basin (±US$550 million or almost half of the REDD+ financing for the African continent); (ii) across countries, there is an important disequilibrium in terms of REDD+ and M&MRV readiness financing, political engagement, comprehension and capacity, which also appears to be a key barrier to countries receiving equal resources; (iii) most financing appears to go to smaller scale (subnational) REDD+ projects; (iv) four distinct country groups in terms of REDD+ readiness and M&MRV status are identified; and (v) the Congo Basin has a distinct opportunity to have a specific REDD+ financing window for large-scale and more targeted national REDD+ programmes through a specific fund for the region. PMID:23878337

Identifying Where REDD+ Financially Out-Competes Oil Palm in Floodplain Landscapes Using a Fine-Scale Approach.

Science.gov (United States)

Abram, Nicola K; MacMillan, Douglas C; Xofis, Panteleimon; Ancrenaz, Marc; Tzanopoulos, Joseph; Ong, Robert; Goossens, Benoit; Koh, Lian Pin; Del Valle, Christian; Peter, Lucy; Morel, Alexandra C; Lackman, Isabelle; Chung, Robin; Kler, Harjinder; Ambu, Laurentius; Baya, William; Knight, Andrew T

2016-01-01

Reducing Emissions from Deforestation and forest Degradation (REDD+) aims to avoid forest conversion to alternative land-uses through financial incentives. Oil-palm has high opportunity costs, which according to current literature questions the financial competitiveness of REDD+ in tropical lowlands. To understand this more, we undertook regional fine-scale and coarse-scale analyses (through carbon mapping and economic modelling) to assess the financial viability of REDD+ in safeguarding unprotected forest (30,173 ha) in the Lower Kinabatangan floodplain in Malaysian Borneo. Results estimate 4.7 million metric tons of carbon (MgC) in unprotected forest, with 64% allocated for oil-palm cultivations. Through fine-scale mapping and carbon accounting, we demonstrated that REDD+ can outcompete oil-palm in regions with low suitability, with low carbon prices and low carbon stock. In areas with medium oil-palm suitability, REDD+ could outcompete oil palm in areas with: very high carbon and lower carbon price; medium carbon price and average carbon stock; or, low carbon stock and high carbon price. Areas with high oil palm suitability, REDD+ could only outcompete with higher carbon price and higher carbon stock. In the coarse-scale model, oil-palm outcompeted REDD+ in all cases. For the fine-scale models at the landscape level, low carbon offset prices (US $3 MgCO2e) would enable REDD+ to outcompete oil-palm in 55% of the unprotected forests requiring US $27 million to secure these areas for 25 years. Higher carbon offset price (US $30 MgCO2e) would increase the competitiveness of REDD+ within the landscape but would still only capture between 69%-74% of the unprotected forest, requiring US $380-416 million in carbon financing. REDD+ has been identified as a strategy to mitigate climate change by many countries (including Malaysia). Although REDD+ in certain scenarios cannot outcompete oil palm, this research contributes to the global REDD+ debate by: highlighting REDD

Identifying Where REDD+ Financially Out-Competes Oil Palm in Floodplain Landscapes Using a Fine-Scale Approach.

Directory of Open Access Journals (Sweden)

Nicola K Abram

Full Text Available Reducing Emissions from Deforestation and forest Degradation (REDD+ aims to avoid forest conversion to alternative land-uses through financial incentives. Oil-palm has high opportunity costs, which according to current literature questions the financial competitiveness of REDD+ in tropical lowlands. To understand this more, we undertook regional fine-scale and coarse-scale analyses (through carbon mapping and economic modelling to assess the financial viability of REDD+ in safeguarding unprotected forest (30,173 ha in the Lower Kinabatangan floodplain in Malaysian Borneo. Results estimate 4.7 million metric tons of carbon (MgC in unprotected forest, with 64% allocated for oil-palm cultivations. Through fine-scale mapping and carbon accounting, we demonstrated that REDD+ can outcompete oil-palm in regions with low suitability, with low carbon prices and low carbon stock. In areas with medium oil-palm suitability, REDD+ could outcompete oil palm in areas with: very high carbon and lower carbon price; medium carbon price and average carbon stock; or, low carbon stock and high carbon price. Areas with high oil palm suitability, REDD+ could only outcompete with higher carbon price and higher carbon stock. In the coarse-scale model, oil-palm outcompeted REDD+ in all cases. For the fine-scale models at the landscape level, low carbon offset prices (US $3 MgCO2e would enable REDD+ to outcompete oil-palm in 55% of the unprotected forests requiring US $27 million to secure these areas for 25 years. Higher carbon offset price (US $30 MgCO2e would increase the competitiveness of REDD+ within the landscape but would still only capture between 69%-74% of the unprotected forest, requiring US $380-416 million in carbon financing. REDD+ has been identified as a strategy to mitigate climate change by many countries (including Malaysia. Although REDD+ in certain scenarios cannot outcompete oil palm, this research contributes to the global REDD+ debate by

REDD policy impacts on the agri-food sector and food security

NARCIS (Netherlands)

Tabeau, A.A.; Meijl, van J.C.M.; Overmars, K.P.; Stehfest, Elke

2015-01-01

The REDD policy which preserves, enables substantial emission reductions. Since agricultural production and area expansion is a primary driver of tropical deforestation, REDD policies might limit the expansion possibilities of agricultural land use and therefore influence competitiveness,

The evolution of REDD+: An analysis of discursive-institutional dynamics

International Nuclear Information System (INIS)

Besten, Jan Willem den; Arts, Bas; Verkooijen, Patrick

2014-01-01

Highlights: • A Discursive Institutional Analysis was conducted of the development of REDD+ from 2004 to 2011. • Rapid progress on REDD+ at the UNFCCC led to early agreement and preparatory arrangements. • This institutionalisation triggered responses from more actors generating new ideas. • Early implementation led to overlap of actors involved in piloting and in ongoing negotiations. • This helped introduce social, environment and governance safeguards in new agreements. -- Abstract: Reducing Emissions from Deforestation and Forest Degradation (REDD+) is a policy that developed under the United Nations Framework Convention on Climate Change (UNFCCC) and is based on the idea that climate funds and carbon markets can be used to incentivise developing countries to reduce tropical deforestation. This paper analyses the development of REDD+ from 2004 to 2011 through Discursive Institutional Analysis (DIA). DIA seeks to analyse how new discourses become institutionalised in plans, regulations and guidelines, while including and excluding issues, (re)defining topics, and (re)shaping human interactions. The analysis of policy documents and 32 in depth interviews with actors involved in the climate negotiations illustrates how discursive and institutional dynamics influenced each other. Competing discourse coalitions struggled over the definition and scope of REDD+, the use of markets and funds, and the issue of social and environmental safeguards. The rapid development of the REDD+ discourse has nonetheless culminated in new institutional arrangements. The working of a ‘discursive-institutional spiral’ is revealed where discourse coalitions respond to the inclusion and exclusion of ideas in institutions and practices. The institutional contexts at the same time shape the boundaries within which actors can bring in new ideas and concepts

Reducing emissions from deforestation and forest degradation (REDD+): game changer or just another quick fix?

Science.gov (United States)

Venter, Oscar; Koh, Lian Pin

2012-02-01

Reducing emissions from deforestation and forest degradation (REDD+) provides financial compensation to land owners who avoid converting standing forests to other land uses. In this paper, we review the main opportunities and challenges for REDD+ implementation, including expectations for REDD+ to deliver on multiple environmental and societal cobenefits. We also highlight a recent case study, the Norway-Indonesia REDD+ agreement and discuss how it might be a harbinger of outcomes in other forest-rich nations seeking REDD+ funds. Looking forward, we critically examine the fundamental assumptions of REDD+ as a solution for the atmospheric buildup of greenhouse gas emissions and tropical deforestation. We conclude that REDD+ is currently the most promising mechanism driving the conservation of tropical forests. Yet, to emerge as a true game changer, REDD+ must still demonstrate that it can access low transaction cost and high-volume carbon markets or funds, while also providing or complimenting a suite of nonmonetary incentives to encourage a developing nation's transition from forest losing to forest gaining, and align with, not undermine, a globally cohesive attempt to mitigate anthropogenic climate change. © 2012 New York Academy of Sciences.

Towards integrated monitoring of REDD+

NARCIS (Netherlands)

Sassi, de C.; Joseph, S.; Bos, A.B.; Duchelle, A.E.; Ravikumar, A.; Herold, M.

2015-01-01

Monitoring socioecological impacts of policy interventions aimed at changing land-use practices is a major challenge in sustainable development and conservation. Reducing emissions from deforestation and forest degradation (REDD+) intends to compensate local stakeholders for demonstrated carbon

REDD+ on the rocks? Conflict Over Forest and Politics of Justice in Vietnam.

Science.gov (United States)

Sikor, Thomas; Cầm, Hoàng

In Vietnam, villagers involved in a REDD+ (reduced emissions from deforestation and forest degradation) pilot protect areas with rocks which have barely a tree on them. The apparent paradox indicates how actual practices differ from general ideas about REDD+ due to ongoing conflict over forest, and how contestations over the meaning of justice are a core element in negotiations over REDD+. We explore these politics of justice by examining how the actors involved in the REDD+ pilot negotiate the particular subjects, dimensions, and authority of justice considered relevant, and show how politics of justice are implicit to practical decisions in project implementation. Contestations over the meaning of justice are an important element in the practices and processes constituting REDD+ at global, national and local levels, challenging uniform definitions of forest justice and how forests ought to be managed.

REDD+, RFM, Development, and Carbon Markets

Directory of Open Access Journals (Sweden)

Mario Chacón

2011-03-01

Full Text Available Combining responsible forest management (RFM experiences with literature reviews and stakeholder discussions allows an assessment of the potential role of RFM in reduced emissions from deforestation and forest degradation and conservation, sustainable forest management and enhancement of carbon stocks (REDD+. RFM contributes to greater carbon storage and biodiversity in forest biomass in comparison to conventional logging and deforestation. Using an adjusted von Thünen model to explain land user behavior in relation to different variables, considering a general forest transition curve and looking at a potential relation between governance and deforestation rates, the authors conclude that reduction of deforestation and forest degradation can only be achieved by a combined approach of increasing forest rent relative to other land uses and reducing transaction costs for forest management and conservation. More than providing an additional income for a privileged few, REDD+ will need to address the barriers that have been identified in RFM over the past 30 years of investment in forest management and conservation. Most of these are of an institutional nature, but also culture and social organization as well as locally specific development trends play a significant role in increasing the potential for application of RFM and REDD+.

Effectiveness of REDD programs in the protection of sui generis indigenous rights

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Paloma Infante M.

2013-06-01

Full Text Available The article focuses on the implementation of the United Nations Reducing Emission from Deforestation and Forest Degradation Program, hereinafter UN REDD and its effectiveness in the protection of sui generis indigenous rights, meaning those different from the property right but derived from it, especially, the rights over the territories, natural resources and environmental services. The paper will cover the interconnection between sui generis indigenous rights and REDD programs including the relevance of land tenure and the sui generis rights derived from it. As we will emphasize, REDD programs are not only focused in the reduction of carbon emissions. In fact, REDD plus programs include as a main objective the sustainable management of forests and the protection to forest dependent communities.

REDD1 induction regulates the skeletal muscle gene expression signature following acute aerobic exercise.

Science.gov (United States)

Gordon, Bradley S; Steiner, Jennifer L; Rossetti, Michael L; Qiao, Shuxi; Ellisen, Leif W; Govindarajan, Subramaniam S; Eroshkin, Alexey M; Williamson, David L; Coen, Paul M

2017-12-01

The metabolic stress placed on skeletal muscle by aerobic exercise promotes acute and long-term health benefits in part through changes in gene expression. However, the transducers that mediate altered gene expression signatures have not been completely elucidated. Regulated in development and DNA damage 1 (REDD1) is a stress-induced protein whose expression is transiently increased in skeletal muscle following acute aerobic exercise. However, the role of this induction remains unclear. Because REDD1 altered gene expression in other model systems, we sought to determine whether REDD1 induction following acute exercise altered the gene expression signature in muscle. To do this, wild-type and REDD1-null mice were randomized to remain sedentary or undergo a bout of acute treadmill exercise. Exercised mice recovered for 1, 3, or 6 h before euthanization. Acute exercise induced a transient increase in REDD1 protein expression within the plantaris only at 1 h postexercise, and the induction occurred in both cytosolic and nuclear fractions. At this time point, global changes in gene expression were surveyed using microarray. REDD1 induction was required for the exercise-induced change in expression of 24 genes. Validation by RT-PCR confirmed that the exercise-mediated changes in genes related to exercise capacity, muscle protein metabolism, neuromuscular junction remodeling, and Metformin action were negated in REDD1-null mice. Finally, the exercise-mediated induction of REDD1 was partially dependent upon glucocorticoid receptor activation. In all, these data show that REDD1 induction regulates the exercise-mediated change in a distinct set of genes within skeletal muscle. Copyright © 2017 the American Physiological Society.

A bottom-up approach to estimating cost elements of REDD+ pilot projects in Tanzania

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Merger Eduard

2012-08-01

Full Text Available Abstract Background Several previous global REDD+ cost studies have been conducted, demonstrating that payments for maintaining forest carbon stocks have significant potential to be a cost-effective mechanism for climate change mitigation. These studies have mostly followed highly aggregated top-down approaches without estimating the full range of REDD+ costs elements, thus underestimating the actual costs of REDD+. Based on three REDD+ pilot projects in Tanzania, representing an area of 327,825 ha, this study explicitly adopts a bottom-up approach to data assessment. By estimating opportunity, implementation, transaction and institutional costs of REDD+ we develop a practical and replicable methodological framework to consistently assess REDD+ cost elements. Results Based on historical land use change patterns, current region-specific economic conditions and carbon stocks, project-specific opportunity costs ranged between US$ -7.8 and 28.8 tCOxxxx for deforestation and forest degradation drivers such as agriculture, fuel wood production, unsustainable timber extraction and pasture expansion. The mean opportunity costs for the three projects ranged between US$ 10.1 – 12.5 tCO2. Implementation costs comprised between 89% and 95% of total project costs (excluding opportunity costs ranging between US$ 4.5 - 12.2 tCO2 for a period of 30 years. Transaction costs for measurement, reporting, verification (MRV, and other carbon market related compliance costs comprised a minor share, between US$ 0.21 - 1.46 tCO2. Similarly, the institutional costs comprised around 1% of total REDD+ costs in a range of US$ 0.06 – 0.11 tCO2. Conclusions The use of bottom-up approaches to estimate REDD+ economics by considering regional variations in economic conditions and carbon stocks has been shown to be an appropriate approach to provide policy and decision-makers robust economic information on REDD+. The assessment of opportunity costs is a crucial first step to

A bottom-up approach to estimating cost elements of REDD+ pilot projects in Tanzania

Science.gov (United States)

2012-01-01

Background Several previous global REDD+ cost studies have been conducted, demonstrating that payments for maintaining forest carbon stocks have significant potential to be a cost-effective mechanism for climate change mitigation. These studies have mostly followed highly aggregated top-down approaches without estimating the full range of REDD+ costs elements, thus underestimating the actual costs of REDD+. Based on three REDD+ pilot projects in Tanzania, representing an area of 327,825 ha, this study explicitly adopts a bottom-up approach to data assessment. By estimating opportunity, implementation, transaction and institutional costs of REDD+ we develop a practical and replicable methodological framework to consistently assess REDD+ cost elements. Results Based on historical land use change patterns, current region-specific economic conditions and carbon stocks, project-specific opportunity costs ranged between US$ -7.8 and 28.8 tCOxxxx for deforestation and forest degradation drivers such as agriculture, fuel wood production, unsustainable timber extraction and pasture expansion. The mean opportunity costs for the three projects ranged between US$ 10.1 – 12.5 tCO2. Implementation costs comprised between 89% and 95% of total project costs (excluding opportunity costs) ranging between US$ 4.5 - 12.2 tCO2 for a period of 30 years. Transaction costs for measurement, reporting, verification (MRV), and other carbon market related compliance costs comprised a minor share, between US$ 0.21 - 1.46 tCO2. Similarly, the institutional costs comprised around 1% of total REDD+ costs in a range of US$ 0.06 – 0.11 tCO2. Conclusions The use of bottom-up approaches to estimate REDD+ economics by considering regional variations in economic conditions and carbon stocks has been shown to be an appropriate approach to provide policy and decision-makers robust economic information on REDD+. The assessment of opportunity costs is a crucial first step to provide information on the

Institutional effectiveness of REDD+ MRV: Countries progress in implementing technical guidelines and good governance requirements

NARCIS (Netherlands)

Ochieng, R.M.; Visseren-Hamakers, Ingrid; Arts, B.; Brockhaus, M.; Herold, M.

2016-01-01

The UNFCCC requires REDD+ countries wishing to receive results-based payments to measure, report and verify (MRV) REDD+ impacts; and outlines technical guidelines and good governance requirements for MRV. This article examines institutional effectiveness of REDD+ MRV by assessing countries’ progress

Policy Options for Effective REDD+ Implementation in Indonesia

DEFF Research Database (Denmark)

Saito-Jensen, Moeko; Sikor, Thomas; Kurniawan, Y.

2015-01-01

Indonesia, which contains the third-largest area of tropical forest in the world, is currently exploring policy options for the effective implementation of REDD+, the global initiative to reduce emissions from deforestation and forest degradation. This article analyses the major questions regarding...... degradation, due to high opportunity costs. REDD+ finance may be more effectively used to reward small-scale dispersed activities that enhance carbon stocks, such as those already happening under Indonesia's community nursery programme. The analysis indicates the necessity for forest tenure reform...

Multiple levels and multiple challenges for measurement, reporting and verification of REDD+

Directory of Open Access Journals (Sweden)

Kaisa Korhonen-Kurki

2013-08-01

Full Text Available REDD+ is a multilevel endeavour. Global demands, national and subnational structures and local people’s needs and aspirations must all be linked in efforts to reduce emissions from deforestation and forest degradation. We use Brockhaus and Angelsen’s (2012 framework of Institutions, Interests, Information and Ideas (4Is to analyse the multilevel governance of REDD+ through one of its core elements: measurement, reporting and verification. We present the multilevel dimensions of REDD+ and the risks if they are disregarded. We analyse the flow and interplay of information, institutions and interests across levels in REDD+ measurement, reporting and verification and examine which multilevel governance mechanisms enable this flow. To support our analysis, we provide anecdotal evidence of challenges and opportunities from three countries: Brazil, Vietnam and Indonesia. Our analysis shows that it is essential to enhance and harmonize information flows between local and national levels for measurement, reporting and verification to be accountable. Furthermore, sound information flows between levels can increase the negotiation power of disadvantaged groups and ensure a more effective, efficient and equitable REDD+. To reduce the risk of conflict, REDD+ multilevel governance systems must match incentives and interests with transparent institutions. Effective multilevel governance mechanisms, such as novel cross-scale institutional arrangements, uniform regulations on the rights, responsibilities and procedures for monitoring information flows, and participation across levels, will provide tools for both information flow and greater matching of different interests across levels.

Revitalizing REDD+ Policy Processes in Vietnam: The Roles of State and Non-State Actors

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Thu Ba Huynh

2017-02-01

Full Text Available Vietnam was one of the first countries to introduce the National REDD+ (Reduced Emissions from Deforestation and Forest Degradation Action Program in 2012. The country has recently revised the Program to aim for a more inclusive 2016–2020 strategy and a vision to 2030. This study explores how Vietnam policy actors view REDD+ policy development and their influence in these processes. The results can contribute to the discussion on how policy actors can effectively influence policy processes in the evolving context of REDD+ and in the types of political arrangements represented in Vietnam. We examined the influence of state and non-state actors on the 2012 National REDD+ Action Program (NRAP processes, and explored factors that may have shaped this influence, using a combination of document analysis and semi-structured interviews with 81 policy actors. It was found that non-state actors in REDD+ are still on the periphery of decision making, occupying “safe” positions, and have not taken either full advantage of their capacities, or of recent significant changes in the contemporary policy environment, to exert stronger influence on policy. We suggest that REDD+ policy processes in Vietnam need to be revitalized with key actors engaging collectively to promote the possibilities of REDD+ within a broader view of social change that reaches beyond the forestry sector.

Community Participation and Benefits in REDD+: A Review of Initial Outcomes and Lessons

OpenAIRE

David J. Ganz; Jill Blockhus; Kathleen Lawlor; Erin Myers Madeira

2013-01-01

The advent of initiatives to reduce emissions from deforestation and degradation and enhance forest carbon stocks (REDD+) in developing countries has raised much concern regarding impacts on local communities. To inform this debate, we analyze the initial outcomes of those REDD+ projects that systematically report on their socio-economic dimensions. To categorize and compare projects, we develop a participation and benefits framework that considers REDD+’s effects on local populations’ opport...

REDD+: Quick Assessment of Deforestation Risk Based on Available Data

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Giulio Di Lallo

2017-01-01

Full Text Available The evaluation of the future dynamics of deforestation is essential to creating the basis for the effective implementation of REDD+ (Reducing Emissions from Deforestation and forest Degradation initiatives. Such evaluation is often a challenging task, especially for countries that have to cope with a critical lack of data and capacities, higher uncertainties, and competing interests. We present a new modeling approach that makes use of available and easily accessible data sources to predict the spatial location of future deforestation. This approach is based on the Random Forest algorithm, which is a machine learning technique that enables evidence-based, data-driven decisions and is therefore often used in decision-making processes. Our objective is to provide a straightforward modeling approach that, without requiring cost-intensive assessments, can be applied in the early stages of REDD+, for a stepwise implementation approach of REDD+ projects in regions with limited availability of data, capital, technical infrastructure, or human capacities. The presented model focuses on building business-as-usual scenarios to identify and rank potentially suitable areas for REDD+ interventions. For validation purposes we applied the model to data from Nicaragua.

Getting ready for REDD+ in Tanzania: a case study of progress and challenges

DEFF Research Database (Denmark)

Burgess, Neil David; Bahane, Bruno; Clairs, Tim

2010-01-01

the Norwegian, Finnish and German governments and is a participant in the World Bank’s Forest Carbon Partnership Facility. In combination, these interventions aim to mitigate greenhouse gas emissions, provide an income to rural communities and conserve biodiversity. The establishment of the UN-REDD Programme...... in Tanzania illustrates real-world challenges in a developing country. These include currently inadequate baseline forestry data sets (needed to calculate reference emission levels), inadequate government capacity and insufficient experience of implementing REDD+-type measures at operational levels....... Additionally, for REDD+ to succeed, current users of forest resources must adopt new practices, including the equitable sharing of benefits that accrue from REDD+ implementation. These challenges are being addressed by combined donor support to implement a national forest inventory, remote sensing of forest...

Framing REDD+ in India: Carbonizing and centralizing Indian forest governance?

International Nuclear Information System (INIS)

Vijge, Marjanneke J.; Gupta, Aarti

2014-01-01

Highlights: • We analyze whether India's REDD+ strategy induces carbonization and centralization. • REDD+ in India is framed as an opportunity for synergistic, decentralized governance. • Yet national safeguards are not as strong as asserted. • Controversial issues have so far been side-lined in India's REDD+ strategy. • Without investments, synergistic and decentralized REDD+ governance remains unlikely. - Abstract: This article analyzes the interaction of newly articulated climate governance goals with long-standing forest policies and practices in India. We focus on India's REDD+ (reducing emissions from deforestation and forest degradation and related forest activities) strategy, with a particular focus on the Green India Mission (GIM). The GIM calls for a doubling of the area for afforestation and reforestation in India in the next decade as a dominant climate mitigation strategy. We analyze how the GIM policy document frames carbon versus non-carbon benefits to be derived from forest-related activities; and how the GIM envisages division of authority (between national, regional and local levels) in its implementation. We are interested in assessing (a) whether the GIM promotes a “carbonization” of Indian forest governance, i.e. an increased focus on forest carbon at the expense of other ecosystem services; and (b) whether it promotes an increased centralization of forest governance in India through retaining or transferring authority and control over forest resources to national and state-level authorities, at the expense of local communities. We argue that the GIM frames the climate-forest interaction as an opportunity to synergistically enhance both carbon and non-carbon benefits to be derived from forests; while simultaneously promoting further decentralization of Indian forest governance. However, based on past experiences and developments to date, we conclude that without significant investments in community-based carbon and biodiversity

Options for REDD+ Voluntary Certification to Ensure Net GHG Benefits, Poverty Alleviation, Sustainable Management of Forests and Biodiversity Conservation

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Michael Dutschke

2011-04-01

Full Text Available Our objective was to compare and evaluate the practical applicability to REDD+ of ten forest management, social, environmental and carbon standards that are currently active worldwide: Climate, Community and Biodiversity (CCB, CCB REDD+ Social and Environmental Standards (CCBA REDD+ S&E, CarbonFix Standard (CFS, Forest Stewardship Council (FSC, Global Conservation Standard (GCS, ISO 14064:2006, Plan Vivo Standard, Programme for Endorsement of Forest Certification (PEFC, SOCIALCARBON Standard and the Voluntary Carbon Standard (VCS. We developed a framework for evaluation of these standards relative to each other using four substantive criteria: (1 poverty alleviation, (2 sustainable management of forests (SMF, (3 biodiversity protection, (4 quantification and assessment of net greenhouse gas (GHG benefits; and two procedural criteria: (5 monitoring and reporting, and (6 certification procedures. REDD programs require assessment of GHG benefits, monitoring, reporting and certification. Our analysis shows that only the Voluntary Carbon Standard (VCS treats these three criteria comprehensively. No standard provides comprehensive coverage of the social and other environmental criteria. FSC, PEFC and CarbonFix provide comprehensive assessments of the sustainable forest management criterion. CCBA REDD+ S&E, CCB, and GCS provide comprehensive coverage of the biodiversity and poverty alleviation criteria. Experience in using these standards in pilot projects shows that projects are currently combining several standards as part of their strategy to improve their ability to attract investment, but costs of implementing several certification schemes is a concern. We conclude that voluntary certification provides useful practical experience that should feed into the design of the international REDD+ regime.

Preparing community forestry for REDD+: engaging local communities in the mapping and MRV requirements of REDD+

NARCIS (Netherlands)

Knowles, Tony; McCall, M.K.; Skutsch, Margaret; Theron, Leon; Zhu, Xianli; Ravnkilde Moller, Lea; De Lopes, Thanakvaro; Zaballa Romero, Mauricio

2010-01-01

Based on fieldwork carried out over the last five years, this article presents the case for communities being permitted to make their own forest carbon inventories for the purposes of monitoring under national REDD+ programmes, following brief training. Modern technology, particularly PDAs (small,

PERSPECTIVE: REDD pilot project scenarios: are costs and benefits altered by spatial scale?

Science.gov (United States)

Carlson, Kimberly M.; Curran, Lisa M.

2009-09-01

even in highly-threatened lowland forests, including those in northern Sumatra. Ultimately, REDD implementation is an iterative process, requiring regular appraisals and improvements at local (i.e., REDD projects) through international (i.e., UNFCCC) levels. The overarching value of REDD pilot initiatives such as this groundbreaking Aceh project and Gaveau et al's innovative assessments is to identify suitable approaches as well as shortcomings, allowing revised and refined efforts that will mitigate forest degradation via financial mechanisms. The next iteration of REDD program evaluations will also need to incorporate: (i) empirical measurements of carbon stock change attributed to forest degradation; (ii) evaluations of economic incentives for a diverse suite of agents such as local and urban communities as well as the private sector; and, (iii) explicitly consider the fluctuating price of carbon vis-à-vis competing commodity prices. References Asner G P, Broadbent E N, Oliveira P J C, Keller M, Knapp D E and Silva J N M 2006 Condition and fate of logged forests in the Brazilian Amazon Proc. Natl Acad. Sci. USA 103 12947-50 Butler R A, Koh L P and Ghazoul J 2009 REDD in the red: palm oil could undermine carbon payment schemes Conserv. Lett. 2 67-73 Curran L M, Trigg S N, Mcdonald A K, Astiani D, Hardiono Y M, Siregar P, Caniago I and Kasischke E 2004 Lowland forest loss in protected areas of Indonesian Borneo Science 303 1000-3 Ebeling J and Yasué M 2008 Generating carbon finance through avoided deforestation and its potential to create climatic, conservation and human development benefits Phil. Trans. R. Soc. B 363 1917-24 Forest Carbon Portal 2009 Forest Carbon Inventory Project www.forestcarbonportal.com Gaveau D, Wich S, Epting J, Juhn D, Kanninen M and Leader-Williams N 2009 The future of forests and orangutans (Pongo abelii) in Sumatra: predicting impacts of oil palm plantations, road construction, and mechanisms for reducing carbon emissions from

Avoiding re-inventing the wheel in a people-centered approach to REDD+.

Science.gov (United States)

Holmes, Ignacia; Potvin, Catherine

2014-10-01

indicators that could be used by stakeholders to improve REDD+ project design, monitoring, and evaluation, which may help reconcile national initiatives and local interests without reinventing the wheel. © 2014 Society for Conservation Biology.

Comparative Multi-Criteria Assessment of Climate Policies and Sustainable Development Strategies in Cameroon: Towards a GIS Decision-Support Tool for the Design of an Optimal REDD+ Strategy

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Anderson Gwanyebit Kehbila

2014-09-01

Full Text Available Cameroon is committed to reducing emissions from deforestation and forest degradation plus conservation, sustainable management of forests and enhancement of carbon stocks (REDD+. To achieve this goal, the government has introduced a series of policy reforms and formulated a number of key strategic planning documents to advance the REDD+ readiness process in Cameroon. This paper assesses the extent to which major cross-sectoral policies support or impede the development and implementation of an optimal REDD+ strategy in Cameroon from a comparative multi-criteria perspective. Study results reveal that a majority of the policy instruments reviewed appeared to be less prescriptive in terms of any tangible REDD+ strategy, as they do not have provisions for tangible measures to reduce deforestation and forest degradation. Given the lack of adequate flexibility, prompt review and responsiveness of these cross-sectoral policies to adapt themselves to new realities and respond to a changing environment, this paper introduces a GIS-REDD+ decision support system (GIS-REDD+DSS that is necessary to support the adaptive element of an adaptive REDD+ strategy in Cameroon. The GIS-REDD+DSS, an electronic REDD+agri intermediary hub, serves the following purpose: (1 host a database of locally-relevant climate information, improved input technologies, best practices as well as land use and forest cover geo-spatial maps; (2 host a virtual economic tool that performs economic valuations (costs and benefits and financial analysis of REDD+agri projects to aid investment decision-making; and (3 host an electronic marketplace to mediate any-to-any transactions among REDD+agri project developers, service providers, input suppliers, private and institutional investors and buyers (wholesalers and retailers, thereby creating value in two ways: aggregation and matching. This decision support tool, we argue, is a fundamental prerequisite for “policy and REDD+ safeguard

Biodiversity and ecosystem processes: lessons from nature to improve management of planted forests for REDD-plus

Science.gov (United States)

Ian D. Thompson; Kimiko Okabe; John A. Parrotta; David I. Forrester; Eckehard Brockerhoff; Hervé Jactel; Hisatomo Taki

2014-01-01

Planted forests are increasingly contributing wood products and other ecosystem services at a global scale. These forests will be even more important as carbon markets develop and REDD-plus forest programs (forests used specifically to reduce atmospheric emissions of CO2 through deforestation and forest degradation) become common. Restoring degraded and deforested...

Nutrient-induced stimulation of protein synthesis in mouse skeletal muscle is limited by the mTORC1 repressor REDD1.

Science.gov (United States)

Gordon, Bradley S; Williamson, David L; Lang, Charles H; Jefferson, Leonard S; Kimball, Scot R

2015-04-01

In skeletal muscle, the nutrient-induced stimulation of protein synthesis requires signaling through the mechanistic target of rapamycin complex 1 (mTORC1). Expression of the repressor of mTORC1 signaling, regulated in development and DNA damage 1 (REDD1), is elevated in muscle during various atrophic conditions and diminished under hypertrophic conditions. The question arises as to what extent REDD1 limits the nutrient-induced stimulation of protein synthesis. The objective was to examine the role of REDD1 in limiting the response of muscle protein synthesis and mTORC1 signaling to a nutrient stimulus. Wild type REDD1 gene (REDD1(+/+)) and disruption in the REDD1 gene (REDD1(-/-)) mice were feed deprived for 16 h and randomized to remain feed deprived or refed for 15 or 60 min. The tibialis anterior was then removed for analysis of protein synthesis and mTORC1 signaling. In feed-deprived mice, protein synthesis and mTORC1 signaling were significantly lower in REDD1(+/+) than in REDD1(-/-) mice. Thirty minutes after the start of refeeding, protein synthesis in REDD1(+/+) mice was stimulated by 28%, reaching a value similar to that observed in feed-deprived REDD1(-/-) mice, and was accompanied by increased phosphorylation of mTOR (Ser2448), p70S6K1 (Thr389), and 4E-BP1 (Ser65) by 81%, 167%, and 207%, respectively. In refed REDD1(-/-) mice, phosphorylation of mTOR (Ser2448), p70S6K1 (Thr389), and 4E-BP1 (Ser65) were significantly augmented above the values observed in refed REDD1(+/+) mice by 258%, 405%, and 401%, respectively, although protein synthesis was not coordinately increased. Seventy-five minutes after refeeding, REDD1 expression in REDD1(+/+) mice was reduced (∼15% of feed-deprived REDD1(+/+) values), and protein synthesis and mTORC1 signaling were not different between refed REDD1(+/+) mice and REDD1(-/-) mice. The results show that REDD1 expression limits protein synthesis in mouse skeletal muscle by inhibiting mTORC1 signaling during periods of feed

Painting the world REDD: addressing scientific barriers to monitoring emissions from tropical forests

Science.gov (United States)

Asner, Gregory P.

2011-06-01

In December 2010, parties to the United Nations Framework Convention on Climate Change (UNFCCC) agreed to encourage reductions in greenhouse gas emissions from forest losses with the financial support of developed countries. This important international agreement followed about seven years of effort among governments, non-governmental organizations (NGO) and the scientific community, and is called REDD+, the program for Reducing Emissions from Deforestation and Forest Degradation. REDD+ could achieve its potential to slow emissions from deforestation and forest degradation either as a new market option to offset emissions from developed nations, or as a mitigation option for developing countries themselves. Aside from representing an important step towards reducing greenhouse gas emissions, a growing list of potential co-benefits to REDD+ include improved forestry practices, forest restoration, sustainable development, and biodiversity protection. Indeed the agreement is heralded as a win-win for climate change mitigation and tropical forest conservation, and it could end up contributing to a global economy based on carbon and ecosystem services. That's good news, and some governments are now working to become 'REDD ready' in preparation for the forthcoming international program. This is important because, according to the agreements made by governments in the UNFCCC, developing countries which voluntarily decide to take part in REDD+ must establish their own national forest monitoring system to report changes in emissions from forests (UNFCCC 2009). But as of today, no developing country has implemented a system for monitoring, reporting and verifying (MRV) emission reductions for REDD+. Of course, it is all still very new, but many REDD-type projects have been underway for years now (Parker et al 2008), and many MRV practitioners involved in those projects are the same people being asked to help with government-led, national MRV programs. Yet going from the

Getting ready for REDD+: Recognition and Donor-country Project Development Dynamics in Central Africa

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Gretchen M Walters

2017-01-01

Full Text Available REDD+ (Reducing Emissions, Deforestation and forest Degradation+ is a United Nations Framework Convention for Climate Change (UNFCCC process through which governments reduce the impacts of climate change through forest conservation in a results-based payments scheme. Distinct from international negotiations about the REDD+ framework under the UNFCCC, there are also REDD+ projects that help governments to set up the institutional architecture, plans and strategies to implement REDD+. These capacity-building projects, in the first phase of 'REDD+ readiness', involve negotiations among national and international actors in which recognition and authority claims are used by participants to influence project-level negotiations. This study analyses the project development negotiations in a World Bank-led REDD+ capacity building regional project, involving six Central African countries between 2008 and 2011. It explores how the project created a 'negotiation table' constituted of national and regional institutions recognised by the donors and governments, and how this political space, influenced by global, regional and national political agendas led to 'instances' of recognition and misrecognition – in which some negotiating parties' claims of representation were acknowledge and affirmed, while others' claims were not. Focusing on Cameroon and Gabon, this article analyses how negotiations shaped full participation by Cameroon and only partial engagement by Gabon.

Equity and REDD+ in the Media: a Comparative Analysis of Policy Discourses

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Monica Di Gregorio

2013-06-01

Full Text Available Reducing emissions from deforestation and forest degradation (REDD+ is primarily a market-based mechanism for achieving the effective reduction of carbon emissions from forests. Increasingly, however, concerns are being raised about the implications of REDD+ for equity, including the importance of equity for achieving effective carbon emission reductions from forests. Equity is a multifaceted concept that is understood differently by different actors and at different scales, and public discourse helps determine which equity concerns reach the national policy agenda. Results from a comparative media analysis of REDD+ public discourse in four countries show that policy makers focus more on international than national equity concerns, and that they neglect both the need for increased participation in decision making and recognition of local and indigenous rights. To move from addressing the symptoms to addressing the causes of inequality in REDD+, policy actors need to address issues related to contextual equity, that is, the social and political root causes of inequality.

The Portable Sawmill and Other Challenges to REDD+ in Papua New Guinea

DEFF Research Database (Denmark)

Dalsgaard, Steffen; Pedersen, Marianne

The future for REDD+ in Papua New Guinea (PNG) seems uncertain in these days. Logging companies are accessing much land via a controversial legal framework (Special Agricultural Business Lease), while conservation-oriented NGOs are struggling to find schemes to stop the deforestation. After the f......', where landowners log their own trees may paradoxically be the biggest challenge to conservation in PNG rather than its last hope.......The future for REDD+ in Papua New Guinea (PNG) seems uncertain in these days. Logging companies are accessing much land via a controversial legal framework (Special Agricultural Business Lease), while conservation-oriented NGOs are struggling to find schemes to stop the deforestation. After...... the failure of voluntary carbon trade due largely to scams, REDD+ has been their new darling. However, there are currently only a few pilot projects mainly in areas, without large-scale logging. This paper argues that to understand the possibility for successfully implementing REDD+, one must look...

Indigenous Territories and REDD in Latin America: Opportunity or Threat?

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Chris van Dam

2011-03-01

Full Text Available An important proportion of Latin America’s forests are located in indigenous territories, and indigenous peoples are the beneficiaries of about 85% of the area for which local rights to land and forest have been recognized in Latin America since the 1980s. Nevertheless, many of these areas, whether or not rights have been recognized, are subject to threats from colonists, illegal loggers, mining and oil interests and others, whose practices endanger not only the forests but also indigenous people’s territory as a whole. In this context, REDD could constitute a new threat or intensify others, particularly in places where indigenous tenure rights have not been recognized, but REDD could also offer new opportunities. This article describes the limitations of thinking only in terms of communities, rather than territories, and examines the extent to which REDD has been conceived considering the characteristics of this new territorial configuration. It also identifies the challenges that REDD may face with this new ‘stakeholder’, such as numerous specific characteristics of territories, given their heterogeneity, in the context of past experiences regarding ‘forest options’. This paper analyses the situation in already-titled indigenous territories in particular, and also discusses problems facing territories in the titling process.

Uncertain Emission Reductions from Forest Conservation: REDD in the Bale Mountains, Ethiopia

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Charlene Watson

2013-09-01

Full Text Available The environmental integrity of a mechanism rewarding Reduced Emissions from Deforestation and Degradation (REDD depends on appropriate accounting for emission reductions. Largely stemming from a lack of forest data in developing countries, emission reductions accounting contains substantial uncertainty as a result of forest carbon stock estimates, where the application of biome-averaged data over large forest areas is commonplace. Using a case study in the Bale Mountains in Ethiopia, we exemplify the implications of primary and secondary forest carbon stock estimates on predicted REDD project emission reductions and revenues. Primary data estimate area-weighted mean forest carbon stock of 195 tC/ha ± 81, and biome-averaged data reported by the Intergovernmental Panel on Climate Change underestimate forest carbon stock in the Bale Mountains by as much as 63% in moist forest and 58% in dry forest. Combining forest carbon stock estimates and uncertainty in voluntary carbon market prices demonstrates the financial impact of uncertainty: potential revenues over the 20-year project ranged between US$9 million and US$185 million. Estimated revenues will influence decisions to implement a project or not and may have profound implications for the level of benefit sharing that can be supported. Strong financial incentives exist to improve forest carbon stock estimates in tropical forests, as well as the environmental integrity of REDD projects.

Agricultural and Forest Land Use Potential for REDD+ among Smallholder Land Users in Rural Ghana

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Divine O. Appiah

2016-01-01

Full Text Available Reducing emissions from deforestation and forest degradation with other benefits (REDD+ mechanism is supposed to address the reversal of forest-based land degradation, conservation of existing carbon stocks, and enhancement of carbon sequestration. The Bosomtwe District is predominantly agrarian with potentials for climate change mitigation through REDD+ mechanism among smallholder farmers. The limited knowledge and practices of this strategy among farmers are limiting potentials of mitigating climate change. This paper assesses the REDD+ potentials among smallholder farmers in the district. Using a triangulation of quantitative and qualitative design, 152 farmer-respondents were purposively sampled and interviewed, using snowballing method from 12 communities. Quantitative data gathered were subjected to the tools of contingency and frequencies analysis, embedded in the Statistical Package for Social Sciences (SPSS v.16. The qualitative data were analyzed thematically. Results indicate that respondents have knowledge of REDD+ but not the intended benefit sharing regimes that can accrue to the smallholder farmers. Farmers’ willingness to practice REDD+ will be based on the motivation and incentive potentials of the strategies. The Forestry Services Division should promote the practice of REDD+ among smallholder farmers through education, to whip and sustain interest in the strategy.

South Africa's national REDD+ initiative: assessing the potential of the forestry sector on climate change mitigation

International Nuclear Information System (INIS)

Rahlao, Sebataolo; Mantlana, Brian; Winkler, Harald; Knowles, Tony

2012-01-01

Reducing emissions from deforestation and forest degradation in developing countries (REDD+) is regarded by its proponents as one of the more efficient and cost effective ways to mitigate climate change. There was further progress toward the implementation of this mechanism at the 16th Conference of Parties (COP) in Cancun in December 2010. Many countries in southern African, including South Africa, have not been integrated (do not participate) into the UN-REDD+ programme, probably due to their low forest cover and national rates of deforestation. This paper discusses the potential contribution of REDD+ activities to the South African Government's pledge of reducing national greenhouse gas (GHG) emissions by 34% below business as usual by 2020. A number of issues such as complex land tenure system, limited forest cover and other conflicting environmental issues present challenges for REDD+ in South Africa. Despite these genuine concerns, REDD+ remains a practical strategy to contribute to climate change mitigation for South Africa. The paper raises the need for development of a variety of emission reduction programmes – not only in the energy sector. The paper also assesses several national options and opportunities towards a working REDD+ mechanism. It concludes by identifying key mechanisms for moving forward to prepare for REDD+ actions in South Africa and raises the urgent need for national dialogue between stakeholders and institutions to evaluate the feasibility of making use of the mechanism in South Africa and the Southern African Development Cooperation (SADC) region. The paper further addresses possible synergies and conflicts between the national climate change and forestry policies towards REDD+ development. It suggests that REDD+ should be part of the national dialogue on policy to respond to climate change and should be integrated into the national flagship programmes that the national climate change white paper seeks to implement. A multiple

Is REDD+ effective, efficient, and equitable?

DEFF Research Database (Denmark)

Nathan, Iben; Pasgaard, Maya

2017-01-01

economic (efficiency), environmental (effectiveness), and social (equity) concerns at the same time by drawing on own field results from a REDD+ project in Cambodia. The paper follows three tracks. The first is to develop and explain the conceptual and analytical framework for our empirical investigations...

Diagnosing the uncertainty and detectability of emission reductions for REDD + under current capabilities: an example for Panama

International Nuclear Information System (INIS)

Pelletier, Johanne; Potvin, Catherine; Ramankutty, Navin

2011-01-01

In preparation for the deployment of a new mechanism that could address as much as one fifth of global greenhouse gas emissions by reducing emissions from deforestation and forest degradation (REDD +), important work on methodological issues is still needed to secure the capacity to produce measurable, reportable, and verifiable emissions reductions from REDD + in developing countries. To contribute to this effort, we have diagnosed the main sources of uncertainty in the quantification of emission from deforestation for Panama, one of the first countries to be supported by the Forest Carbon Partnership Facility of the World Bank and by UN-REDD. Performing sensitivity analyses using a land-cover change emissions model, we identified forest carbon stocks and the quality of land-cover maps as the key parameters influencing model uncertainty. The time interval between two land-cover assessments, carbon density in fallow and secondary forest, and the accuracy of land-cover classifications also affect our ability to produce accurate estimates. Further, we used the model to compare emission reductions from five different deforestation reduction scenarios drawn from governmental input. Only the scenario simulating a reduction in deforestation by half succeeds in crossing outside the confidence bounds surrounding the baseline emission obtained from the uncertainty analysis. These results suggest that with current data, real emission reductions in developing countries could be obscured by their associated uncertainties. Ways of addressing the key sources of error are proposed, for developing countries involved in REDD + , for improving the accuracy of their estimates in the future. These new considerations confirm the importance of current efforts to establish forest monitoring systems and enhance capabilities for REDD + in developing countries.

Best practices in Remote Sensing for REDD+

DEFF Research Database (Denmark)

Dons, Klaus; Grogan, Kenneth

2012-01-01

due to steep terrain, • phenological gradients across natural, agricultural and forestry ecosystems including plantations and • the need to serve the REDD-specific context of deforestation and forest degradation across spatial and temporal scales make remote sensing based approaches particularly...... be expected from remote sensing imagery and the provided information shall help to better anticipate problems that will be encountered when acquiring, analyzing and interpreting remote sensing data. Beyond remote sensing, it may be a good point of departure for a large group of scientists with a diverse...... and governance, and deforestation and forest degradation processes. The second part summarizes the available literature on remote sensing based good practices for REDD. It largely draws from the documents of the Intergovernmental Panel on Climate Change (IPCC), the United Nations Framework Convention on Climate...

Community Participation and Benefits in REDD+: A Review of Initial Outcomes and Lessons

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David J. Ganz

2013-05-01

Full Text Available The advent of initiatives to reduce emissions from deforestation and degradation and enhance forest carbon stocks (REDD+ in developing countries has raised much concern regarding impacts on local communities. To inform this debate, we analyze the initial outcomes of those REDD+ projects that systematically report on their socio-economic dimensions. To categorize and compare projects, we develop a participation and benefits framework that considers REDD+’s effects on local populations’ opportunities (jobs, income, security (of tenure and ecosystem services, and empowerment (participation in land use and development decisions. We find material benefits, in terms of jobs and income, to be, thus far, modest. On the other hand, we find that many projects are helping populations gain tenure rights. A majority of projects are obtaining local populations’ free, prior, and informed consent (FPIC. However, for those projects interacting with multiple populations, extent of participation and effects on forest access are often uneven. Our participation and benefits framework can be a useful tool for identifying the multi-faceted socio-economic impacts of REDD+, which are realized under different timescales. The framework and initial trends reported here can be used to build hypotheses for future REDD+ impact evaluations and contribute to evolving theories of incentive-based environmental policy.

Integration of REDD into the international carbon market: Implications for future commitments and market regulation

OpenAIRE

Dixon, Alistair; Anger, Niels; Holden, Rachel; Livengood, Erich

2008-01-01

Integrating reduced emissions from deforestation and degradation (REDD) into a post-Kyoto intergovernmental carbon market could significantly decrease global carbon prices and the costs of mitigating climate change. We investigate this impact by simulating the impact of the supply of REDD units on the international carbon market in 2020 under unlimited and restricted exchange conditions. We find restricting supply or demand of REDD credits reduces such price impacts, but comes at the cost of ...

In pursuit of carbon accountability: the politics of REDD+ measuring, reporting and verification systems

NARCIS (Netherlands)

Gupta, A.; Lövbrand, E.; Turnhout, E.; Vijge, M.J.

2012-01-01

This article reviews critical social science analyses of carbonaccounting and monitoring, reporting and verification (MRV) systems associated with reducing emissions from deforestation, forest degradation and conservation, sustainable use and enhancement of forest carbon stocks (REDD+). REDD+ MRV

The costs of REDD: lessons from Amazonas

Energy Technology Data Exchange (ETDEWEB)

Viana, Virgilio M.; Ribenboim, Gabriel [Amazonas Sustainable Foundation (Brazil); Mea, Rosana Della [Rainforest Concern (Brazil); Grieg-Gran, Maryanne

2009-11-15

Reducing tropical deforestation is a major climate and development issue: forest clearing is responsible for roughly a fifth of greenhouse gas emissions, and the forest-dependent poor number over a billion. In the runup to the Copenhagen climate summit, REDD – reducing emissions from deforestation and (forest) degradation by providing incentives to tropical forest countries – has been touted as one of the most cost-effective mitigation mechanisms on the table. But the benefits would be only temporary if forests saved today are cleared once incentives cease. Would the expense of maintaining such incentives over decades raise the price to uncompetitive levels? A forest reserve in Amazonas, Brazil, offers some of the first real-world data on the costs of REDD. Even with pessimistic assumptions about future pressures, the project's carbon cuts look highly affordable.

REDD+ and the Indigenous Question: A Case Study from Ecuador

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Pablo Reed

2011-04-01

Full Text Available One of the main issues regarding the implementation of REDD+ in Latin America has been the growing concern that such projects may infringe upon the rights and negatively affect the livelihoods of forest-dependent communities. Various indigenous and civil society organizations are ardently opposed to the initiative. Such is the case in Ecuador, where indigenous opposition to REDD+ represents a considerable obstacle in the creation of a national strategy since more than 60% of the country’s remaining forest cover is on indigenous land or under indigenous occupation. Thus one of the most critical challenges remaining for Ecuador will be the construction of a strong legal, financial, and institutional framework—one that the greater indigenous community might be willing to accept. Closer examination of this topic however, reveals just how difficult this may become. Lack of information, a recent political split between national authorities and the indigenous sector, and the dissimilar organizational capacity levels of indigenous communities make the feasibility of carrying out REDD+ projects on these lands extremely complex. However, the biggest obstacle may be ideological. Many indigenous groups view REDD+, with its possible emphasis on international markets and neoliberal mechanisms, as a continuation of the type of policies that have impeded their quest for sovereignty and self determination. As such, indigenous people are only willing to consider such projects if they clearly see preconditions in place that would safeguard their cultures, territories, and autonomy.

Community monitoring of carbon stocks for REDD+

DEFF Research Database (Denmark)

Brofeldt, Søren; Theilade, Ida; Burgess, Neil David

2014-01-01

Reducing emissions from deforestation and forest degradation in developing countries, and the role of conservation, sustainable management of forests, and enhancement of forest carbon stocks in developing countries (REDD+) is a potentially powerful international policy mechanism that many tropica...

'REDD' at the Convergence of the Environment and Development Debates - International Incentives for National Action on Avoided Deforestation

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Philippa Venning

2010-06-01

Full Text Available Developing countries would be more likely to participate in any new international climate change agreement if they could earn and trade carbon credits from avoided deforestation, also known as 'REDD'. This paper argues that REDD should be included in any new agreement but, unlike the Clean Development Mechanism, its credits should be accounted for at a national-level, rather than on a project-basis. Experience with the Kyoto Protocol and development assistance over many decades shows that to have effective and sustainable environmental and development benefits, a national-based approach to REDD would be needed to transmit international financial incentives into national development planning. Indonesia is used as an example to show how a national-based approach to REDD could be effectively implemented in the country with the highest deforestation rate in the world. After a brief discussion of REDD and its status in the international climate change regime post-Copenhagen in Part I, Part II examines the different approaches to the scale of REDD being mooted in the negotiations for a new international agreement. Part III shows that many arguments against including REDD could be addressed with a national-approach. For remaining issues, particularly challenges in transferring profits from the sale of REDD-generated credits to local level incentives to protect forests, development lessons internationally and from Indonesia show that such transfers could be structured in an effective way not only to achieve environmental benefits, but also to achieve broader development and poverty reduction aims. These lessons, discussed in Part IV, further bolster the case for any post-2012 agreement to incorporate a national-based approach to REDD, integrated into national development plans.

Monitoring Strategies for REDD+: Integrating Field, Airborne, and Satellite Observations of Amazon Forests

Science.gov (United States)

Morton, Douglas; Souza, Carlos, Jr.; Souza, Carlos, Jr.; Keller, Michael

2012-01-01

Large-scale tropical forest monitoring efforts in support of REDD+ (Reducing Emissions from Deforestation and forest Degradation plus enhancing forest carbon stocks) confront a range of challenges. REDD+ activities typically have short reporting time scales, diverse data needs, and low tolerance for uncertainties. Meeting these challenges will require innovative use of remote sensing data, including integrating data at different spatial and temporal resolutions. The global scientific community is engaged in developing, evaluating, and applying new methods for regional to global scale forest monitoring. Pilot REDD+ activities are underway across the tropics with support from a range of national and international groups, including SilvaCarbon, an interagency effort to coordinate US expertise on forest monitoring and resource management. Early actions on REDD+ have exposed some of the inherent tradeoffs that arise from the use of incomplete or inaccurate data to quantify forest area changes and related carbon emissions. Here, we summarize recent advances in forest monitoring to identify and target the main sources of uncertainty in estimates of forest area changes, aboveground carbon stocks, and Amazon forest carbon emissions.

Combating Deforestation through REDD+ in the Brazilian Amazon: a New Social Contract?

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Anthony Hall

2013-07-01

Full Text Available Brazil is developing a number of REDD+ schemes in Amazonia that offer economic incentives to discourage deforestation and promote conservation. Building upon longer traditions of forest preservation and sustainable development in the region, REDD+ could be said to embody elements of a new ‘social contract’ that underpins resource governance, based on mutual obligations, rights and responsibilities. This will have to be founded on negotiated agreements among major stakeholders; namely, central and state governments, the NGO sector, private business interests and local beneficiary populations. Despite its embryonic nature and having to face major challenges of implementation and scaling up, REDD+ could offer the beginnings of a fresh paradigm in environmental policy based on a social contract that could help sustain low rates of forest loss in future.

An assessment of the Brazilian REDD+ governance system. A case study of the Amazon Fund

OpenAIRE

Dalene, Elisabeth

2011-01-01

REDD+ has become a hot issue in the climate change policy. It is seen as one way to reduce global GHG emissions by slowing and potentially reversing deforestation and forest degradation. The Amazon Fund is today seen as the only full REDD+ governance structure in the world. Thus, I was interested in doing a deeper study of this governance structure in order to learn about the strengths and weaknesses of the Fund as a REDD+ governance structure. In order to answer this objective four research ...

The Role of Satellite Data for the National Forest Monitoring Systems in the Context of REDD+

Science.gov (United States)

Jonckheere, Inge

2012-04-01

Reducing Emissions from Deforestation and Forest Degradation (REDD) is an effort to create a financial value for the carbon stored in forests, offering incentives for developing countries to reduce emissions from forested lands and invest in low-carbon paths to sustainable development. “REDD+” goes beyond deforestation and forest degradation, and includes the role of conservation, sustainable management of forests and enhancement of forest carbon stocks. In the framework of getting countries ready for REDD+, the UN-REDD Programme assists developing countries to prepare and implement national REDD+ strategies. For the monitoring, reporting and verification (MRV), FAO supports the countries to develop national forest monitoring systems (NFMS) based on satellite data that allow for credible MRV of REDD+ activities through time. The UN-REDD Programme through a joint effort of FAO and Brazil's National Space Agency, INPE, is supporting countries to develop cost- effective, robust and compatible national monitoring and MRV systems, providing tools, methodologies, training and knowledge sharing that help countries to strengthen their technical and institutional capacity for effective MRV systems. The Brazilian forest monitoring system, TerraAmazon, which is used as a multi-user basis, allows countries to adapt it to country needs. With the technical assistance of FAO, INPE and other stakeholders, the countries will set up an autonomous operational satellite forest monitoring systems. A beta version and the methodologies of the system for DRC and PNG are launched in Durban (SA) during COP 17, while Paraguay, Zambia and Viet Nam are in development in 2012.

A synthesis of the implementation ambivalence of REDD+ in Sub-Saharan Africa and Southeast Asia

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Divine Odame Appiah

2018-04-01

Full Text Available Reducing emission from deforestation and forest degradation and associated benefits (REDD+, has received much attention as one of the most controversial climate change initiatives, especially by forest fringed community actors in sub-Saharan Africa (SSA and Southeast Asia, (SEA who are skeptical of the scheme.The object of this paper is to examine the seeming potential benefits and accompanying risks and challenges of REDD+ on the livelihoods among smallholder farmers in SSA and SEA. The paper espouses the sustainability context of REDD+ projects as pro-poor forest management mechanisms; through the provision of alternative livelihood. This is achieved through critical review and critique of scientific articles, project reports and relevant documents on REDD+ interventions from a worldwide, regional to local scale. The paper identifies projects that seem to solidify claims that REDD+ projects are simply a new form of colonialism; which the West is using to take advantage of vulnerable groups in the South. The paper concludes with the need to actively engage sub-Saharan African and Southeast Asian women in climate change mitigation benefit schemes on account of the expedient role women play in agricultural activities (which may involve deforestation and forest land degradation.

Implementing REDD+ (Reducing Emissions from Deforestation and Degradation): evidence on governance, evaluation and impacts from the REDD-ALERT project

NARCIS (Netherlands)

Matthews, R.B.; Noordwijk, van M.; Lambin, E.; Meyfroidt, P.; Gupta, J.; Verschot, L.; Hergoualc'h, K.; Veldkamp, E.

2014-01-01

Abstract The REDD-ALERT (Reducing Emissions from Deforestation and Degradation from Alternative Land Uses in the Rainforests of the Tropics) project started in 2009 and finished in 2012, and had the aim of evaluating mechanisms that translate international-level agreements into instruments that

Effects of river morphology, hydraulic gradients, and sediment deposition on water exchange and oxygen dynamics in salmonid redds.

Science.gov (United States)

Schindler Wildhaber, Y; Michel, C; Epting, J; Wildhaber, R A; Huber, E; Huggenberger, P; Burkhardt-Holm, P; Alewell, C

2014-02-01

Fine sediment decreasing gravel permeability and oxygen supply to incubating salmonid embryos, is often considered the main contributing factor for the observed decline of salmonid populations. However, oxygen supply to salmonid embryos also depends on hydraulic conditions driving water flow through the redd. A more generalized perspective is needed to better understand the constraints on successful salmonid incubation in the many heavily modified fluvial ecosystems of the Northern Hemisphere. The effects of hydraulic gradients, riverbed and redd morphology as well as fine sediment deposition on dissolved oxygen (DO) and water exchange was studied in 18 artificial redds at three sites along a modified river. Fifty percent of the redds in the two downstream sites were lost during high flow events, while redd loss at the upstream site was substantially lower (8%). This pattern was likely related to increasing flood heights from up- to downstream. Specific water infiltration rates (q) and DO were highly dynamic and driven on multiple temporal and spatial scales. Temporally, the high permeability of the redd gravel and the typical pit-tail structure of the new built redds, leading to high DO, disappeared within a month, when fine sediment had infiltrated and the redd structure was leveled. On the scale of hours to days, DO concentrations and q increased during high flows, but decreased during the falling limb of the water level, most likely related to exfiltration of oxygen depleted groundwater or hyporheic water. DO concentrations also decreased under prolonged base flow conditions, when increased infiltration of silt and clay particles clogged the riverbed and reduced q. Spatially, artificial log steps affected fine sediment infiltration, q and interstitial DO in the redds. The results demonstrate that multiple factors have to be considered for successful river management in salmonid streams, including riverbed structure and local and regional hydrogeological

Implementing REDD+ (Reducing Emissions from Deforestation and Degradation): evidence on governance, evaluation and impacts from the REDD-ALERT project

NARCIS (Netherlands)

Mathews, R.B.; van Noordwijk, M.; Lambin, E.; Meyfroidt, P.; Gupta, J.; Verchot, L.; Hergoualc'h, K.; Veldkamp, E.

2014-01-01

The REDD-ALERT (Reducing Emissions from Deforestation and Degradation from Alternative Land Uses in the Rainforests of the Tropics) project started in 2009 and finished in 2012, and had the aim of evaluating mechanisms that translate international-level agreements into instruments that would help

Tenure Issues in REDD+ Pilot Project Sites in Tanzania

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Therese Dokken

2014-02-01

Full Text Available REDD+ has been proposed as a viable option for addressing climate change in the near term, and at relatively low cost. There is a broad consensus that clearly defined tenure rights are important for the implementation and success of REDD+, both to manage forests effectively and to protect local communities’ livelihoods. We use primary data from 23 villages in six REDD+ pilot sites in Tanzania to identify causes of deforestation and forest degradation, and tenure rights issues, at the village level prior to project implementation. Further, interviews with project proponents and examination of project documents yields insights into how the proponents plan to address tenure issues. Most villages perceive their tenure as secure and have exclusion rights, while collective action challenges are prevalent in villages experiencing deforestation and forest degradation. These findings suggest that the main tenure issues are related to internal institutional arrangements. While we find that tenure is high on the agenda for all the project proponents, they are mainly focusing on formalization and securing tenure rights from state to community level. Though we do find this to be a precondition for reducing deforestation and degradation, some of their focus should be shifted to strengthening village institutions and enhancing internal compliance.

Analysis of National Forest Programs for REDD+ Implementation in six South and Southeast Asia countries

Energy Technology Data Exchange (ETDEWEB)

Mohammed, A.J.; Inoue, M.; Shivakoti, G.P.; Nath, T.K.; Jashimuddin, M.; Zoysa, M.D.; Kaskoyo, H.; Pulhin, J.M.; Peras, R.J.

2016-07-01

Aim of the study. To facilitate REDD+ implementation and identify relevant attributes for robust REDD+ policies, this study evaluated and synthesized information from national forest programs in South and Southeast Asian countries. Area of study: Data was collected from six countries: Sri Lanka, Indonesia, Bangladesh, Philippines, India and Thailand. Methods: The data sources for the evaluation was an in-depth desk review of relevant documents and focus group discussion among experts from each study country. Main Results: We found out that diverse factors may influence program feasibility and the ability to achieve ‘triple benefits’: the nature of the forest targeted by the policy, the characteristics of the population affected by the policy, attributes of the policy instrument and the different actors involved. Research highlights: We argue that national policies and programs targeted for REDD+ implementation should focus on the identified features to achieve REDD+ goals. (Author)

Attributes of Yellowstone cutthroat trout redds in a tributary of the Snake River, Idaho

Science.gov (United States)

Russell F. Thurow; John G. King

1994-01-01

We characterized spawning sites of Yellowstone cutthroat trout Oncorhynchus clarki bouvieri, described the microhabitat of completed redds, and tested the influence of habitat conditions on the morphology of completed redds in Pine Creek, Idaho. Cutthroat trout spawned in June as flows subsided after peak stream discharge. During spawning, minimum and maximum water...

Multi-Level Policy Dialogues, Processes, and Actions: Challenges and Opportunities for National REDD+ Safeguards Measurement, Reporting, and Verification (MRV

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Pamela Jagger

2014-09-01

Full Text Available REDD+ social safeguards have gained increasing attention in numerous forums. This paper reviews the evolution of multi-level policy dialogues, processes, and actions related to REDD+ social safeguards (e.g., Cancun Safeguards 1–5 among policy makers, civil society organizations, and within the media in Brazil, Indonesia and Tanzania, three countries with well advanced REDD+ programs. We find that progress on core aspects of social safeguards is uneven across the three countries. Brazil is by far the most advanced having drafted a REDD+ social safeguards policy. Both Brazil and Indonesia have benefited from progress made by strong sub-national entities in the operationalization of REDD+ safeguards including free prior and informed consent (FPIC, participation, and benefit sharing. Tanzania has weakly articulated how social safeguards will be operationalized and has a more top-down approach. We conclude that in all three countries, measuring, reporting and verifying progress on social safeguards is likely to be a complex issue. Stakeholders with vested interests in REDD+ social safeguards operate in polycentric rather than nested systems, suggesting that aggregation of information from local to national-scale will be a challenge. However, polycentric systems are also likely to support more transparent and comprehensive safeguards systems. Clear direction from the international community and financing for REDD+ safeguard MRV is essential if REDD+ social safeguards are to be meaningfully integrated into forest-based climate mitigation strategies.

Forest Carbon Monitoring and Reporting for REDD+: What Future for Africa?

Science.gov (United States)

Gizachew, Belachew; Duguma, Lalisa A

2016-11-01

A climate change mitigation mechanism for emissions reduction from reduced deforestation and forest degradation, plus forest conservation, sustainable management of forest, and enhancement of carbon stocks (REDD+), has received an international political support in the climate change negotiations. The mechanism will require, among others, an unprecedented technical capacity for monitoring, reporting and verification of carbon emissions from the forest sector. A functional monitoring, reporting and verification requires inventories of forest area, carbon stock and changes, both for the construction of forest reference emissions level and compiling the report on the actual emissions, which are essentially lacking in developing countries, particularly in Africa. The purpose of this essay is to contribute to a better understanding of the state and prospects of forest monitoring and reporting in the context of REDD+ in Africa. We argue that monitoring and reporting capacities in Africa fall short of the stringent requirements of the methodological guidance for monitoring, reporting and verification for REDD+, and this may weaken the prospects for successfully implementing REDD+ in the continent. We presented the challenges and prospects in the national forest inventory, remote sensing and reporting infrastructures. A North-South, South-South collaboration as well as governments own investments in monitoring, reporting and verification system could help Africa leapfrog in monitoring and reporting. These could be delivered through negotiations for the transfer of technology, technical capacities, and experiences that exist among developed countries that traditionally compile forest carbon reports in the context of the Kyoto protocol.

Gendered forests: exploring gender dimensions in forest governance and REDD+ in Équateur Province, Democratic Republic of Congo (DRC

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Raymond Achu Samndong

2017-12-01

Full Text Available In this study we analyze gender relations legitimatized by socio-political institutions of forest governance in REDD+ pilots in Équateur Province of the Democratic Republic of Congo. Using data from interviews, focus group discussions, and field observations, we show that men and women have different knowledge and use of forests, but these differences are not given due consideration in forest governance. Women's voices are often muted in decision-making arenas and they occupy only a nominal position in both forestry and development initiatives as compared with men. This status quo is extended to the REDD+ pilot projects as well. Women have limited information about REDD+ compared with men. The mechanisms used to establish new village organization for REDD+ exclude women from decision making in the ongoing REDD+ pilot project. We show that women's bargaining power for equal inclusion in decision-making processes and for sharing benefits are constrained by existing social norms regarding local access to land and material resources, existing gender division of labor, local perceptions regarding women's roles and contributions/responsibilities, as well as men's dominant position in rural settings. For a gender transformative REDD+, we suggest that REDD+ actors should attempt to bring about institutional changes that transform gender relations and thereby increase women's bargaining power.

Framing REDD+ at National Level: Actors and Discourse around Nepal’s Policy Debate

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Rishi R. Bastakoti

2017-02-01

Full Text Available Forests and carbon sequestration have become fundamental themes in climate change mitigation. The idea of Reducing Emissions from Deforestation and forest Degradation (REDD+ has generated significant interest in forest governance from United Nations (UN climate strategies over the past decade. REDD+ was initially hailed as a smart and cost-effective way to mitigate climate change. As it is rolling out, ambiguities and controversies are increasingly surfacing to the stakeholders at different levels. Examining the forest governance of Nepal in detail, this research examines how relationships between national and local forest actors have changed, and how REDD+ discourses have evolved among them at the interface between global interests in carbon commodification on one hand, and local realities of community forestry on the other hand. To better understand these competing positions, the study uses a post-structural political ecology perspective with elements of discourse analysis. Using data from interviews with policy actors and members of three local community forest user groups, focus group discussions, policy event observations, and document reviews, this paper highlights how global forest carbon commodification has been affecting community forestry governance. It also illustrates different storylines that actors employ to influence policy discourse and REDD+ debates, indicating a considerable range of problem definitions and policy solutions of climate change among the actors. The analysis highlights the connection between power relationships and the evolution of discourses surrounding REDD+, and how an external discourse can reinforce or challenge local governance and the centralization of forest authority. As such, the research also offers a new application of discursive storylines to climate change discourse analysis across national and local scales. The findings emphasize the importance of a more open and transparent dialogue across Nepal�

How countries link REDD+ interventions to drivers in their readiness plans: implications for monitoring systems

NARCIS (Netherlands)

Salvini, G.; Herold, M.; Sy, de V.; Kissinger, G.M.; Brockhouse, M.; Skutsch, M.

2014-01-01

Countries participating in the REDD+ scheme are in the readiness phase, designing policy interventions to address drivers of deforestation and forest degradation (DD). In order for REDD+ interventions to be effective, it is essential that they take into account the specific drivers that they aim to

Transforming forest landscape conflicts: the promises and perils of global forest management initiatives such as REDD+

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Seth Kane

2018-04-01

Full Text Available Implementation of Reducing Emissions from Deforestation and Forest Degradation (REDD+ is designed to relieve pressure on tropical forests, however, many are concerned that it is a threat to the rights of forest communities. These potential risks need serious attention as earlier studies have shown that the Asia-Pacific region is a forest conflict hotspot, with many economic, environmental and social implications at global (e.g. climate change to local levels (e.g. poverty. Drawing on an analysis of nine case studies from four countries (Cambodia, Myanmar, Nepal and Vietnam this paper examines why and how REDD+ can be a driver for forest conflict and how it also has the potential to simultaneously transform these conflicts. The analytical framework, “sources of impairment”, applied in the study was developed to increase understanding and facilitate the resolution of forest landscape conflicts in a sustainable manner (i.e. transformation. The main findings are that REDD+ can be a source of conflict in the study sites, but also had transformative potential when good practices were followed. For example, in some sites, the REDD+ projects were sources of impairment for forest communities by restricting access to forest resources. However, the research also identified REDD+ projects that enabled the participation of traditionally marginalized groups and built local forest management capacities, leading to strengthened tenure for some forest communities. Similarly, in some countries REDD+ has served as a mechanism to pilot Free, Prior and Informed Consent (FPIC, which will likely have significant impacts in mitigating conflicts by addressing the sources at local to national levels. Based on these findings, there are many reasons to be optimistic that REDD+ can address the underlying causes of forest landscape conflicts, especially when linked with other governance initiatives such as Forest Law Enforcement, Governance and Trade – Voluntary

Analysis of National Forest Programs for REDD+ Implementation in six South and Southeast Asia countries

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Abrar J Mohammed

2016-07-01

Full Text Available Aim of study: To facilitate REDD+ implementation and identify relevant attributes for robust REDD+ policies, this study evaluated and synthesized information from national forest programs in South and Southeast Asian countries. Area of study: Data was collected from six countries: Sri Lanka, Indonesia, Bangladesh, Philippines, India and Thailand. Methods: The data sources for the evaluation was an in-depth desk review of relevant documents and focus group discussion among experts from each study country.   Main Results: We found out that diverse factors may influence program feasibility and the ability to achieve ‘triple benefits’: the nature of the forest targeted by the policy, the characteristics of the population affected by the policy, attributes of the policy instrument and the different actors involved. Research highlights: We argue that national policies and programs targeted for REDD+ implementation should focus on the identified features to achieve REDD+ goals. Keywords: policy evaluation; policy instruments; triple benefits; Southeast Asia.

Choices have Consequences: REDD+ and Local Democracy in Kenya

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Susan Chomba

2017-01-01

Full Text Available The extent to which the United Nations Reduced Emissions from Deforestation and forest Degradation programme (REDD+ addresses critical issues of governance is hotly contested. This article focuses on the local institutions chosen as partners by a prominent REDD+ project in Kenya and the implications of this choice for local democracy. The REDD+ project briefly partnered with state-appointed local authorities to represent local interests, bypassing elected ones. Shortly after, the state-appointed authorities were abandoned in favour of 'project-created' carbon committees and civil society organisations. The choice to recognise some institutions while excluding others, was justified by the levels of downward accountability and of corruption, and arguments that state-sanctioned institutions were overburdened and inefficient. However, the article contends that this preference for carbon committees and civil society organisations over state-sanctioned institutions, and particularly the aversion to democratically elected ones, was not conducive for long-term strengthening of local democracy. The analysis pinpoints a tension between setting up parallel models of authority that can act as exemplars of democratic practice, while undermining democratically elected institutions that, in Kenya, are struggling to exercise newly devolved powers. Explicit strategies are required to enable learning from parallel governance models and for their migration into mainstream local governance structures, if local democracy is to be strengthened rather than undermined.

Forest Carbon Leakage Quantification Methods and Their Suitability for Assessing Leakage in REDD

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Sabine Henders

2012-01-01

Full Text Available This paper assesses quantification methods for carbon leakage from forestry activities for their suitability in leakage accounting in a future Reducing Emissions from Deforestation and Forest Degradation (REDD mechanism. To that end, we first conducted a literature review to identify specific pre-requisites for leakage assessment in REDD. We then analyzed a total of 34 quantification methods for leakage emissions from the Clean Development Mechanism (CDM, the Verified Carbon Standard (VCS, the Climate Action Reserve (CAR, the CarbonFix Standard (CFS, and from scientific literature sources. We screened these methods for the leakage aspects they address in terms of leakage type, tools used for quantification and the geographical scale covered. Results show that leakage methods can be grouped into nine main methodological approaches, six of which could fulfill the recommended REDD leakage requirements if approaches for primary and secondary leakage are combined. The majority of methods assessed, address either primary or secondary leakage; the former mostly on a local or regional and the latter on national scale. The VCS is found to be the only carbon accounting standard at present to fulfill all leakage quantification requisites in REDD. However, a lack of accounting methods was identified for international leakage, which was addressed by only two methods, both from scientific literature.

REDD+ projects in the Democratic Republic of Congo: impacts on future emissions, income and biodiversity

Science.gov (United States)

Mosnier, Aline; Bocqueho, Geraldine; Mant, Rebecca; Obersteiner, Michael; Havlik, Petr; Kapos, Val; Fritz, Steffen; Botrill, Leo

2014-05-01

The Democratic Republic of Congo (DRC) encompasses a large rainforest area which has been rather preserved up to now. However, pressure on the forests is increasing with high population growth, transition toward political stability and the abundance of minerals in the country. REDD+ is a developing mechanism under the UNFCCC that aims to support developing countries that want to make efforts to reduce their emissions from deforestation and forest degradation. The REDD+ strategy in DRC combines an independent national fund and independent REDD+ projects at the local level that are at the initial stage of implementation. The objective of this paper is to assess i) emissions reduction due to the implementation of the REDD+ pilot projects taking into account potential leakage and ii) potential co-benefits of REDD+ pilot projects in terms of biodiversity and rural income by 2030. We use the land use economic model CongoBIOM adapted from GLOBIOM which represents land-based activities and land use changes at a 50x50km resolution level. It includes domestic and international demand for agricultural products, fuel wood and minerals which are the main deforestation drivers in the Congo Basin region. Finally, we run a sensitivity analysis on emissions from land use change according to three different above and below ground living biomass estimates: downscaled FAO, NASA and WHRC.

‘Command Without Control’: Are Market Mechanisms Capable of Delivering Ecological Integrity to REDD?

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Simon West

2010-12-01

Full Text Available Market mechanisms have been increasingly touted over the last 40 years as the most ecologically effective and economically efficient way to solve environmental problems. The problem of deforestation has been increasingly recognised in the climate change regime over the last 15 years as a major source of greenhouse gas emissions. Correspondingly many politicians, academics and commentators believe that linking forestry conservation projects to international carbon markets is potentially a cost-efficient way of reducing emissions and stabilising temperature rise below two degrees Celsius. This belief has been translated into a broad set of policy proposals generally named REDD (reducing emissions from deforestation and forest degradation. This paper will assess whether a market-linked REDD programme is in fact capable of preventing deforestation efficiently and within the timescale needed. The history of forestry activities within the climate regime will be outlined, before proposals for a market-linked REDD are analysed in the context of contemporary academic discourse and in the context of ‘real-world’ experience. The ability of a market-linked REDD mechanism to ensure adequate measurement, reporting and verification (MRV, land tenure, public participation, and public-private interaction is questioned. Indeed, the paper concludes by suggesting that the lessons drawn from studying previous market-linked schemes for environmental protection indicate that a market-linked REDD scheme will not achieve the desired reductions in greenhouse gasses in the timescale required, and could in fact be an expensive distraction from other simpler and faster methods of carbon reduction.

The forgotten D : challenges of addressing forest degradation in complex mosaic landscapes under REDD

OpenAIRE

Mertz, O.; Muller, D.; Sikor, T.; Hett, C.; Heinimann, A.; Castella, Jean-Christophe; Lestrelin, Guillaume; Ryan, C. M.; Reay, D. S.; Schmidt-Vogt, D.; Danielsen, F.; Theilade, I.; van Noordwijk, M.; Verchot, L. V.; Burgess, N. D.

2012-01-01

International climate negotiations have stressed the importance of considering emissions from forest degradation under the planned REDD+ (Reducing Emissions from Deforestation and forest Degradation + enhancing forest carbon stocks) mechanism. However, most research, pilot-REDD+ projects and carbon certification agencies have focused on deforestation and there appears to be a gap in knowledge on complex mosaic landscapes containing degraded forests, smallholder agriculture, agroforestry and p...

Economics of forest and forest carbon projects. Translating lessons learned into national REDD+ implementation

DEFF Research Database (Denmark)

Zaballa Romero, Mauricio Ernesto; Trærup, Sara Lærke Meltofte; Wieben, Emilie

The financial implications of implementing a new forest management paradigm have not been well understood and have often been underestimated. Resource needs for e.g., stakeholder consultation, capacity building and addressing the political economy are seldom fully accounted for in the resource...... but also the testing of advanced market commitments as a finance option for sustainable forest management. The findings in the report underline the fact that only through sound and transparent financial information will forest projects and national forest initiatives become interesting for private...... needs estimates put forward in connection to REDD+. This report investigates the economics of implementing forest and REDD+ projects through eight case studies from Africa, Latin America and Asia, analyzing real forest and REDD+ investments. The report is part of efforts to share financial experiences...

Trends in shifting cultivation and the REDD mechanism

DEFF Research Database (Denmark)

Mertz, Ole

2009-01-01

of the transitions taking place. The proposed mechanism for reduced greenhouse gas emissions from deforestation and degradation (REDD) can be both a challenge and opportunity for shifting cultivators. Very limited literature is available on this dilemma, but a few sources point to benefits from ‘compensated...

Potential Impact of the REDD+ Program on Poverty Reduction in Nghe An Province, Vietnam

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Nguyen Dinh Tien

2017-10-01

Full Text Available The REDD+ program provides a mechanism for providing financial rewards to forest owners and users who contribute to the reduction of carbon emissions from deforestation and forest degradation. This paper determines the potential impact of the REDD+ program on poverty reduction by comparing income and poverty rate between two household groups that were willing to participate in this study, but that will not participate in the REDD+. The results showed that carbon payment from forests is a significant contributor to the increase in household income of poor people. The average income of households participating in the program is VND 20.68 million in contrast to those not participating whose average income is VND 14.72 million. Results showed that the REDD+ program intervention helped reduce the poverty rate in the two communes by 6.40% (from 39.4% to 33%. The paper recommends that the REDD+ program should facilitate the distribution of land titles to provide security of tenure for individual households that are participating in the program. While the program can contribute to poverty reduction, the program payments can increase income inequality and conflicts between those involved and those not involved in the program and legal ownership of the lands. In addition, a comprehensive research study on the impact of the program on forest conservation and poverty reduction is necessary. Stakeholders of the program should recognize and acknowledge the trade-offs between conservation and economic development or poverty reduction. A comprehensive trade-off analysis of program implementation and a business-as-usual option of commodity production is needed, which could reveal the indirect economic, political, and social costs and benefits of the program.

Community Forest Management and the Emergence of Multi-Scale Governance Institutions: Lessons for REDD+ Development from Mexico, Brazil and Bolivia

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Gabriel Medina

2011-03-01

Full Text Available At their most local, initiatives to reduce emissions from deforestation and degradation (REDD will depend on rural people to manage forest resources. Although the design of frameworks, mechanisms and arrangements, to implement REDD programs have received significant attention, it is not yet clear how REDD+ will function on the ground or how the participation of local populations will be assured. Community forest management (CFM could be an option under REDD+ depending on how it is negotiated, largely because of the expectation that CFM could reduce emissions from deforestation and degradation. Examining institutional factors in the emergence of successful CFM systems and local forest enterprises could provide valuable lessons for REDD planners. We examine cases of CFM development in Mexico, Brazil and Bolivia, to assess the role of multi-scaled governance institutions in their development. Comparing and contrasting advanced CFM systems to regions where it is still emerging, we will show how the establishment of a local organizational base for communal resource management is crucial.

Participatory Forest Carbon Assessment and REDD+: Learning from Tanzania

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Kusaga Mukama

2012-01-01

Full Text Available Research initiatives and practical experiences have demonstrated that forest-related data collected by local communities can play an essential role in the development of national REDD+ programs and its' measurement, reporting, verification (MRV systems. In Tanzania, the national REDD+ Strategy aims to reward local communities participating in forest management under Participatory Forest Management (PFM. Accessing carbon finances requires among other things, accurate measurements of carbon stock changes through conventional forest inventories, something which is rarely done in PFM forests due to its high cost and limited resources. The main objective of this paper is to discuss experiences of Participatory Forest Carbon Assessment (PFCA in Tanzania. The study revealed that villagers who participated in PFCA were able to perform most steps for carbon assessment in the field. A key challenge in future is how to finance PFCA and ensure the technical capacity at local level.

Assessment of the potential REDD+ as a new international support measure for GHG reduction

Science.gov (United States)

Kim, Y.; Ahn, J.; Kim, H.

2016-12-01

As part of the Paris Agreement, the mechanism for reducing emissions from deforestation and forest degradation in developing countries (REDD+) has high potential to simultaneously contribute to greenhouse gas (GHG) mitigation through forest conservation and poverty alleviation. Some of 162 Intended Nationally Determined Contributions (INDCs) submitted by 189 countries representing approximately 98.8% of global GHG emissions include not only unconditional mitigation goals but also conditional goals based on the condition of the provision of international support such as finance, technology transfer and capacity building. Considering REDD+ as one of the main mechanisms to support such work, this study selected ten countries from among Korea's 24 ODA priority partners, taking into consideration their conditional INDC targets alongside sectoral quantified targets such as land use, land-use change and forestry (LULUCF). The ten selected countries are Indonesia, Cambodia, Vietnam, Bangladesh, Sri Lanka, Ghana, Senegal, Colombia, Peru and Paraguay. Of these countries, most REDD+ projects have been conducted in Indonesia mainly due to the fact that 85% of the country's total GHG emissions are caused by forest conversion and peatland degradation. Therefore, GHG reduction rates and associated projected costs of the Indonesia's REDD+ projects were analyzed in order to offer guidance on the potential of REDD+ to contribute to other INDCs' conditional goals. The result showed that about 0.9 t CO2 ha-1 could be reduced at a cost of USD 23 per year. Applying this estimation to the Cambodian case, which has submitted a conditional INDC target of increasing its forest coverage by 60% (currently 57%) by 2030, suggests that financial support of USD 12.8 million would reduce CO2 emissions by about 5.1 million tones by increasing forest coverage. As there is currently no consideration of LULUCF in Cambodia's INDC, this result represents the opportunity for an additional contribution to

Inclusión social en el proceso REDD en el Perú: una perspectiva de gobernanza en múltiples niveles

OpenAIRE

Erler, Daniela; Frank, Sina; Hein, Jonas-Ibrahim; Hotz, Hannes; Santa Cruz Melgarejo, Anna Maria; Zelli, Fariborz

2011-01-01

REDD is one of the latest additions to a series of incentive-based mechanisms for reducing carbon emissions. Although international negotiations have not eliminated uncertainties regarding its social, economic and political implications, many developing and emerging countries have begun to engage in REDD. Peru, the country with the world’s fourth largest tropical forest area has good reason to participate in REDD: deforestation currently causes about half of Peru’s annual greenhouse gas (GHG)...

Resources and Rules of the Game: Participation of Civil Society in REDD+ and FLEGT‐VPA Processes in Lao PDR

Directory of Open Access Journals (Sweden)

Irmeli Mustalahti

2017-02-01

Full Text Available Reducing Emissions from Deforestation and Forest Degradation (REDD+ aims to achieve its purpose by working across multiple sectors and involving multilevel actors in reducing deforestation and forest degradation in tropical countries. By contrast, the European Union (EU Action Plan on Forest Law Enforcement, Governance and Trade (FLEGT and its Voluntary Partnership Agreements (VPAs focus on forestry and functions at a bilateral state level. The FLEGT Action Plan specifically aims to tackle illegal logging and improve forest governance in countries exporting tropical timber to the EU. Since illegal logging is just one driver of forest degradation, and legalisation of logging does not necessarily reduce deforestation and forest degradation, the two instruments differ in scope. However, by addressing the causes of forest degradation and their underlying governance issues, the FLEGT VPAs and REDD+ share many functional linkages at higher levels of forest policy and forest governance. The contribution and participation of civil society organisations (CSOs and other actors are imperative to both processes. Our study is based on a survey of key actors (national and international in REDD+ and FLEGT VPA processes in the Lao People’s Democratic Republic (Lao PDR. Our analysis was guided by the theoretical perspectives of the policy arrangement approach and examination of two specific dimensions of this approach, namely resources and rules of the game. This paper argues that participation of CSOs in both processes is crucial because it facilitates and nurtures much needed cooperation between other national and international actors. The paper concludes that participation of CSOs could bring valuable information and knowledge into REDD+ and FLEGT VPA processes, thus contributing to increased legitimacy, justice and transparency.

Operationalizing the Definition of Forest Degradation for REDD+, with Application to Mexico

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Lucia Morales-Barquero

2014-07-01

Full Text Available The difficulty of defining and quantifying forest degradation is a major constraint in the implementation of the international mitigation mechanism Reduced Emissions from Deforestation and Forest Degradation (REDD+. Our aim is to develop an operational framework for defining and quantifying forest degradation at a local level for early REDD+ projects and for national REDD+ programmes, through a ground level approach. We critically review and discuss national and international definitions of forest and of forest degradation, and then analyze the main difficulties in making these operational, evaluating the key elements and threshold values that are used, and contextualizing them using Mexico as a case study. We conclude that, given the lack of historical biomass data and the limited capability for monitoring degradation using remote sensing, forest degradation is best measured against a local benchmark that represents areas of low or no degradation that have comparable biophysical characteristics. Use of benchmarks of this type could offer a quick-start option for local assessment and construction of reference levels for forest degradation. These could be refined as more data become available and could eventually be integrated into national monitoring systems.

Completing the Picture: Importance of Considering Participatory Mapping for REDD+ Measurement, Reporting and Verification (MRV.

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Guillaume Beaudoin

Full Text Available Remote sensing has been widely used for mapping land cover and is considered key to monitoring changes in forest areas in the REDD+ Measurement, Reporting and Verification (MRV system. But Remote Sensing as a desk study cannot capture the whole picture; it also requires ground checking. Therefore, complementing remote sensing analysis using participatory mapping can help provide information for an initial forest cover assessment, gain better understanding of how local land use might affect changes, and provide a way to engage local communities in REDD+. Our study looked at the potential of participatory mapping in providing complementary information for remotely sensed maps. The research sites were located in different ecological and socio-economic contexts in the provinces of Papua, West Kalimantan and Central Java, Indonesia. Twenty-one maps of land cover and land use were drawn with local community participation during focus group discussions in seven villages. These maps, covering a total of 270,000ha, were used to add information to maps developed using remote sensing, adding 39 land covers to the eight from our initial desk assessment. They also provided additional information on drivers of land use and land cover change, resource areas, territory claims and land status, which we were able to correlate to understand changes in forest cover. Incorporating participatory mapping in the REDD+ MRV protocol would help with initial remotely sensed land classifications, stratify an area for ground checks and measurement plots, and add other valuable social data not visible at the RS scale. Ultimately, it would provide a forum for local communities to discuss REDD+ activities and develop a better understanding of REDD+.

Elements for the expected mechanisms on 'reduced emissions from deforestation and degradation, REDD' under UNFCCC

Science.gov (United States)

Mollicone, D.; Freibauer, A.; Schulze, E. D.; Braatz, S.; Grassi, G.; Federici, S.

2007-10-01

Carbon emissions from deforestation and degradation account for about 20% of global anthropogenic emissions. Strategies and incentives for reduced emissions from deforestation and degradation (REDD) have emerged as one of the most active areas in the international climate change negotiations under the United Nations Framework Convention on Climate Change (UNFCCC). While the current negotiations focus on a REDD mechanism in developing countries, it should be recognized that risks of carbon losses from forests occur in all climate zones and also in industrialized countries. A future climate change agreement would be more effective if it included all carbon losses and gains from land use in all countries and climate zones. The REDD mechanism will be an important step towards reducing emissions from land use change in developing countries, but needs to be followed by steps in other land use systems and regions. A national approach to REDD and significant coverage globally are needed to deal with the risk that deforestation and degradation activities are displaced rather than avoided. Favourable institutional and governance conditions need to be established that guarantee in the long-term a stable incentive and control system for maintaining forest carbon stocks. Ambitious emission reductions from deforestation and forest degradation need sustained financial incentives, which go beyond positive incentives for reduced emissions but also give incentives for sustainable forest management. Current data limitations need—and can be—overcome in the coming years to allow accurate accounting of reduced emissions from deforestation and degradation. A proper application of the conservativeness approach in the REDD context could allow a simplified reporting of emissions from deforestation in a first phase, consistent with the already agreed UNFCCC reporting principles.

Elements for the expected mechanisms on 'reduced emissions from deforestation and degradation, REDD' under UNFCCC

International Nuclear Information System (INIS)

Mollicone, D; Freibauer, A; Schulze, E D; Braatz, S; Grassi, G; Federici, S

2007-01-01

Carbon emissions from deforestation and degradation account for about 20% of global anthropogenic emissions. Strategies and incentives for reduced emissions from deforestation and degradation (REDD) have emerged as one of the most active areas in the international climate change negotiations under the United Nations Framework Convention on Climate Change (UNFCCC). While the current negotiations focus on a REDD mechanism in developing countries, it should be recognized that risks of carbon losses from forests occur in all climate zones and also in industrialized countries. A future climate change agreement would be more effective if it included all carbon losses and gains from land use in all countries and climate zones. The REDD mechanism will be an important step towards reducing emissions from land use change in developing countries, but needs to be followed by steps in other land use systems and regions. A national approach to REDD and significant coverage globally are needed to deal with the risk that deforestation and degradation activities are displaced rather than avoided. Favourable institutional and governance conditions need to be established that guarantee in the long-term a stable incentive and control system for maintaining forest carbon stocks. Ambitious emission reductions from deforestation and forest degradation need sustained financial incentives, which go beyond positive incentives for reduced emissions but also give incentives for sustainable forest management. Current data limitations need-and can be-overcome in the coming years to allow accurate accounting of reduced emissions from deforestation and degradation. A proper application of the conservativeness approach in the REDD context could allow a simplified reporting of emissions from deforestation in a first phase, consistent with the already agreed UNFCCC reporting principles

Households’ Fuel Wood Dependence, REDD+ and Gender Coping Strategies: An Empirical Review and Policy Implication in the Northern Region of Ghana

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Jamal Mohammed

2017-01-01

Full Text Available This paper reviewed existing literature on fuel wood dependence, REDD+ and gender coping strategies. Out of 180 sets of empirical studies in this domain, twenty five (25 were considered to have a bearing on our topic. The review showed that REDD+ policy in the Northern Region has not provided for REDD+ finance to curb the possible negative effects of the implementation of the programme. It is recommended that there should be a clear cut policy on REDD+ finance for those who depend on the forest. It is also recommended that there should enough public education for communities’ acceptance and integration.INTERNATIONAL JOURNAL OF ENVIRONMENTVolume-5, Issue-4, Sep-Nov 2016, page: 12-31

The expanding techniques of progress: Agricultural biotechnology and UN-REDD+

NARCIS (Netherlands)

Dunlap, A.D.

2015-01-01

This paper provides a comparative analysis of agricultural biotechnology and the United Nations program for reduced emissions from deforestation and forest degradation (REDD). Despite the existing differences between the technical manipulation of biological systems and a conservation program aimed

Synergies of multiple remote sensing data sources for REDD+ monitoring

NARCIS (Netherlands)

Sy, de V.; Herold, M.; Achard, F.; Asner, G.P.; Held, A.; Kellndorfer, J.; Verbesselt, J.

2012-01-01

Remote sensing technologies can provide objective, practical and cost-effective solutions for developing and maintaining REDD+ monitoring systems. This paper reviews the potential and status of available remote sensing data sources with a focus on different forest information products and synergies

A new estimate of carbon for Bangladesh forest ecosystems with their spatial distribution and REDD+ implications

DEFF Research Database (Denmark)

Mukul, Sharif A.; Biswas, Shekhar R.; Rashid, A. Z. M. Manzoor

2014-01-01

In tropical developing countries, reducing emissions from deforestation and forest degradation (REDD+) is becoming an important mechanism for conserving forests and protecting biodiversity. A key prerequisite for any successful REDD+ project, however, is obtaining baseline estimates of carbon...... in forest ecosystems. Using available published data, we provide here a new and more reliable estimate of carbon in Bangladesh forest ecosystems, along with their geo-spatial distribution. Our study reveals great variability in carbon density in different forests and higher carbon stock in the mangrove...... ecosystems, followed by in hill forests and in inland Sal (Shorea robusta) forests in the country. Due to its coverage, degraded nature, and diverse stakeholder engagement, the hill forests of Bangladesh can be used to obtain maximum REDD+ benefits. Further research on carbon and biodiversity in under...

Carbon Cowboys in Peru and the Prospects of Local REDD Governance

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Wil de Jong

2014-12-01

Full Text Available The paper demonstrates the vulnerability of natural resource governance in locations where future forest carbon emission reduction will be pursued using payment mechanisms like REDD (Reducing Emission from Deforestation and Forest Degradation. The specific case is of an Australian national, David Nilsson who arrived in 2010 in the city of Iquitos, capital of the Peruvian Amazon. Nilsson tried to sign joint venture agreements with multiple indigenous organizations to trade carbon credits on their behalf. The paper analyses in much detail Nilsson's strategy to convince various local actors to sign up for his scheme. It demonstrates how people with responsibilities to represent indigenous interests, including leaders of their organizations, members of local NGos and staff of the regional government, eagerly supported these initiatives, but for ambiguous reasons. Even after Nilsson's treacherous dealings were widely exposed in the national and international news-media, this support did not stop. The case of this Peruvian carbon cowboy was specifically mentioned in "COICA's and AIDESEP's Iquitos Declaration", which is one of the early manifestations of an indigenous discourse that questions UNFCCC (United Nations Framework Convention on Climate Change and REDD (Reducing Emission from Deforestation and Forest Degradation. The paper demonstrates the political, institutional and governance fragility of locations where future REDD projects or similar initiatives to reduce forest carbon emissions are planned.

REDD+ and Large-Scale Mining – What Scope for Forestry-based ...

African Journals Online (AJOL)

user

vices‟ (PES) model (Wunder, 2007). These are ... fund supported by aid donors or via a carbon market, for reducing .... REDD+ suggests that benefits could go beyond the ecosystem .... of responsibility for payment potentially disruptive.

Are Protected Forests of Bangladesh Prepared for the Implementation of REDD+? A Forest Governance Analysis from Rema-Kalenga Wildlife Sanctuary

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Md. Habibur Rahman

2017-06-01

Full Text Available The present study investigates the forest governance structure for REDD+ (Reducing Emissions from Deforestation and Forest Degradation implementation in a protected forest of Bangladesh, namely Rema-Kalenga Wildlife Sanctuary (RKWS. The study analyses the key aspects of forest governance, focusing on drivers of deforestation and forest degradation, governance deficit, institutions and social networks, co-benefits, and opportunities and challenges of REDD+ in RKWS. Focus group discussions and key informant interviews were used for primary data collection from different forest stakeholders, including forest-dependent communities, Forest Department (FD and co-management project staffs. The survey revealed that REDD+ not only on technical issues but even more on how the evolving mechanism is governed on various levels, ranging from local to international. Although a majority (69.5% of the respondents were motivated to engage in REDD+, indigenous communities were less interested in fear of loss of access to and use of land and forest resources, ownership and rights, and traditional customs and knowledge. There remained a degree of ambiguity of FD, community and co-management projects in field operations, which conflicted with the notions of cooperation, transparency, and accountability of the overall initiatives. Moreover, there is a strong local power structure that has major control over the community, locality and even over a local administration that is a crucial issue to the RKWS authority. However, REDD+ will open up the opportunity to manage the RKWS’s forest resources in a sustainable way, increase the level of protection, and expand the area protected, hence REDD+ must align with the interests of all stakeholders to fulfil its goal. Further research is necessary to inform the governance of REDD+ in Bangladesh to better understand the interplay, interactions and linkages between existing institutions, actors and policy processes.

Forest Islands and Castaway Communities: REDD+ and Forest Restoration in Prey Lang Forest

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Courtney Work

2017-02-01

Full Text Available Climate Change policies are playing an ever-increasing role in global development strategies and their implementation gives rise to often-unforeseen social conflicts and environmental degradations. A landscape approach to analyzing forest-based Climate Change Mitigation policies (CCM and land grabs in the Prey Lang Forest landscape, Cambodia revealed two Korea-Cambodia partnership projects designed to increase forest cover that are juxtaposed in this paper. Case study data revealed a REDD+ project with little negative impact or social conflict in the project area and an Afforestation/Reforestation (A/R project that created both social and ecological conflicts. The study concludes that forest-based CCM policies can reduce conflict through efforts at minimal transformation of local livelihoods, maximal attention to the tenure rights, responsibilities, and authority of citizens, and by improving, not degrading, the project landscapes. The paper presents the circumstances under which these guidelines are sidestepped by the A/R project, and importantly reveals that dramatic forest and livelihood transformation had already affected the community and environment in the REDD+ project site. There are deep contradictions at the heart of climate change policies toward which attention must be given, lest we leave our future generations with nothing but forest islands and castaway communities.

Taking Stock of Carbon Rights in REDD+ Candidate Countries: Concept Meets Reality

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Lasse Loft

2015-04-01

Full Text Available In the discourses on who should benefit from national REDD+ implementation, rights-based approaches are prominent across various countries. Options on how to create viable property rights arrangements are currently being debated by scholars, policy makers and practitioners alike. Many REDD+ advocates argue that assigning carbon rights represents a solution to insecure individual and community property rights. But carbon rights, i.e., the bundle of legal rights to carbon sequestered in biomass, present their own set of theoretical and practical challenges. We assess the status and approaches chosen in emerging carbon-rights legislations in five REDD+ countries based on a literature review and country expert knowledge: Peru, Brazil, Cameroon, Vietnam and Indonesia. We find that most countries assessed have not yet made final decisions as to the type of benefit sharing mechanisms they intend to implement and that there is a lack of clarity about who owns rights to carbon as a property and who is entitled to receive benefits. However, there is a trend of linking carbon rights to land rights. As such, the technical and also political challenges that land tenure clarification has faced over the past decades will still need to be addressed in the context of carbon rights.

Propensity of farmers to conserve forest within REDD+ projects in areas affected by armed-conflict

DEFF Research Database (Denmark)

Nunez, Augusto Carlos Castro; Mertz, Ole; Quintero, Marcela

2016-01-01

design and application of forest conservation and climate change mitigation approaches such as the mechanism for Reducing Emissions from Deforestation and Forest Degradation (REDD. +) in such contexts remain little studied. Unanswered questions relate to the propensity of farmers in conflict affected...... Colombian government REDD. + activities. A household survey (n = 90) showed that four explanatory variables are significantly related to the 'propensity to conserve forest'. 'Harvest of non-timber forest products' (specifically bush meat) positively influences a farmer's propensity to conserve forest...

A three-dimensional model for analyzing the effects of salmon redds on hyporheic exchange and egg pocket habitat

Science.gov (United States)

Daniele Tonina; John M. Buffington

2009-01-01

A three-dimensional fluid dynamics model is developed to capture the spatial complexity of the effects of salmon redds on channel hydraulics, hyporheic exchange, and egg pocket habitat. We use the model to partition the relative influences of redd topography versus altered hydraulic conductivity (winnowing of fines during spawning) on egg pocket conditions for a...

REDD+ readiness: early insights on monitoring, reporting and verification systems of project developers

International Nuclear Information System (INIS)

Joseph, Shijo; Sunderlin, William D; Verchot, Louis V; Herold, Martin

2013-01-01

A functional measuring, monitoring, reporting and verification (MRV) system is essential to assess the additionality and impact on forest carbon in REDD+ (reducing emissions from deforestation and degradation) projects. This study assesses the MRV capacity and readiness of project developers at 20 REDD+ projects in Brazil, Peru, Cameroon, Tanzania, Indonesia and Vietnam, using a questionnaire survey and field visits. Nineteen performance criteria with 76 indicators were formulated in three categories, and capacity was measured with respect to each category. Of the 20 projects, 11 were found to have very high or high overall MRV capacity and readiness. At the regional level, capacity and readiness tended to be highest in the projects in Brazil and Peru and somewhat lower in Cameroon, Tanzania, Indonesia and Vietnam. Although the MRV capacities of half the projects are high, there are capacity deficiencies in other projects that are a source of concern. These are not only due to limitations in technical expertise, but can also be attributed to the slowness of international REDD+ policy formulation and the unclear path of development of the forest carbon market. Based on the study results, priorities for MRV development and increased investment in readiness are proposed. (letter)

Achieving Conservation and Equity amidst Extreme Poverty and Climate Risk: The Makira REDD+ Project in Madagascar

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Laura Brimont

2015-03-01

Full Text Available Achieving forest conservation together with poverty alleviation and equity is an unending challenge in the tropics. The Makira REDD+ pilot project located in northeastern Madagascar is a well-suited case to explore this challenge in conditions of extreme poverty and climatic vulnerability. We assessed the potential effect of project siting on the livelihoods of the local population and which households would be the most strongly impacted by conservation measures. Farmers living in hilly areas must resort to slash-and-burn agriculture (tavy since a combination of topographic and climatic constraints, such as cyclones, makes permanent rice cultivation very difficult. These are the people who suffer most from conservation-related restriction measures. For practical reasons the project, unfortunately, did not target these farmers. The main focus was on communities with a lower cyclonic risk that are able to practice permanent rice agriculture in the lowlands. To reduce deforestation without violating the principles of equity, REDD+ projects in Madagascar need to better target populations facing high climatic risks and invest in efforts to improve the farmers’ agricultural systems.

Economics of forest and forest carbon projects. Translating lessons learned into national REDD+ implementation

Energy Technology Data Exchange (ETDEWEB)

Zaballa Romero, M.; Traerup, S.; Wieben, E.; Ravnkilde Moeller, L.; Koch, A.

2013-01-15

The financial implications of implementing a new forest management paradigm have not been well understood and have often been underestimated. Resource needs for e.g., stakeholder consultation, capacity building and addressing the political economy are seldom fully accounted for in the resource needs estimates put forward in connection to REDD+. This report investigates the economics of implementing forest and REDD+ projects through eight case studies from Africa, Latin America and Asia, analyzing real forest and REDD+ investments. The report is part of efforts to share financial experiences and lessons learned with policymakers, project developers and stakeholders, with the objective to inform forest project and strategy development. It presents experiences and advice on the risks, costs and revenues of forest projects, thereby informing not only the development of future REDD+ initiatives but also the testing of advanced market commitments as a finance option for sustainable forest management. The findings in the report underline the fact that only through sound and transparent financial information will forest projects and national forest initiatives become interesting for private financial institutions and comparable with other investment opportunities. It is therefore important to include robust analysis of the operations business case and its financial attractiveness to commercial investors, early in the design process. As for the economics of forest and forest carbon projects, it appears that REDD+ payments alone, especially at current prices, will not deliver the revenues that cover all expenses of transparent and long-term mitigation of forest carbon emissions. Instead the findings underline the importance of building up forest operations which effectively manages risk and delivers several revenue streams. These findings are aligned with the advocacy efforts of UNEP and the UN-REDD Programme on multiple benefits and the combination of various funding and

Performance study of Active Queue Management methods: Adaptive GRED, REDD, and GRED-Linear analytical model

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Hussein Abdel-jaber

2015-10-01

Full Text Available Congestion control is one of the hot research topics that helps maintain the performance of computer networks. This paper compares three Active Queue Management (AQM methods, namely, Adaptive Gentle Random Early Detection (Adaptive GRED, Random Early Dynamic Detection (REDD, and GRED Linear analytical model with respect to different performance measures. Adaptive GRED and REDD are implemented based on simulation, whereas GRED Linear is implemented as a discrete-time analytical model. Several performance measures are used to evaluate the effectiveness of the compared methods mainly mean queue length, throughput, average queueing delay, overflow packet loss probability, and packet dropping probability. The ultimate aim is to identify the method that offers the highest satisfactory performance in non-congestion or congestion scenarios. The first comparison results that are based on different packet arrival probability values show that GRED Linear provides better mean queue length; average queueing delay and packet overflow probability than Adaptive GRED and REDD methods in the presence of congestion. Further and using the same evaluation measures, Adaptive GRED offers a more satisfactory performance than REDD when heavy congestion is present. When the finite capacity of queue values varies the GRED Linear model provides the highest satisfactory performance with reference to mean queue length and average queueing delay and all the compared methods provide similar throughput performance. However, when the finite capacity value is large, the compared methods have similar results in regard to probabilities of both packet overflowing and packet dropping.

A survey of ASEAN instruments relating to peatlands, mangroves and other wetlands: The REDD+ context

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Kheng-Lian Koh

2013-07-01

Full Text Available Since the 13th Association of Southeast Asian Nations (ASEAN Summit in November 2007, held in Singapore, ASEAN has accelerated its response to climate change issues, including REDD+ as a mechanism for climate change mitigation and adaptation, and to enhance conservation and sustainable use of natural resources. There are many wetlands in ASEAN including more than 25 million ha of peatlands spread over Indonesia, Malaysia, Thailand, Brunei, Philippines, Vietnam and Lao PDR. The peatlands account for 60 per cent of global tropical peatland resources. They are of significance for sequestration of carbon. However, degraded wetlands, including peatlands, are also a major source of greenhouse gases contributing to global warming. Of the types of wetlands, ASEAN has focused attention predominantly on peatlands in relation to REDD+, mainly because of the ‘Indonesian Haze’. The Asia-Pacific Centre for Environmental Law (APCEL organised a Workshop titled, REDD+ and Legal Regimes of Mangroves, Peatland and Other Wetlands: ASEAN and the World, in Singapore from 15-16 November 2012. The articles contained in this special themed edition of the International Journal of Rural Law and Policy (IJRLP contains a selection of the papers presented. This editorial will provide a brief background to some aspects of REDD+. Included in this issue of IJRLP is a summary of the proceedings of the workshop as interpreted by the assigned rapporteur and editors of APCEL. These summaries were reviewed and approved by the presenters.

The implementation limitations of and alternative policy solutions for Indonesia's REDD+ program concerning peatland restoration

Directory of Open Access Journals (Sweden)

Sarah Guzick

2013-07-01

Full Text Available Recent increases in global demand for palm oil have resulted in rapid, widespread deforestation in Indonesia, making Indonesia the third largest emitter of greenhouse gases in the world. Although the Indonesian government has sought to pursue progressive environmental policies to curb deforestation, such as through REDD+, implementation has been hampered by legal loopholes, corruption and weak rule of law. This paper will examine two alternative carbon sequestration policies to REDD+: a drying up of the palm oil market and a buy-out of palm oil plantations.

REDD policy impacts on the agri-food sector and food security

NARCIS (Netherlands)

Tabeau, Andrzej; Meijl, van Hans; Overmars, Koen P.; Stehfest, Elke

2017-01-01

Recent research shows that the combined contributions of deforestation, forest degradation and peat land emissions account for about 15% of greenhouse gas emissions. The REDD policy which preserves forests and values standing forests, enables substantial emission reductions. Since agricultural

Lost in translation? How project actors shape REDD+ policy and outcomes in Cambodia

DEFF Research Database (Denmark)

Pasgaard, Maya

2015-01-01

Forest protection policies to Reduce Emissions from Deforestation and forest Degradation (REDD+) are currently being implemented by international donors, governments and conservation agencies across the developing world aiming for reduction of greenhouse gases while ensuring fair distribution...... of benefits. This paper draws on a case study in northern Cambodia to analyse how conservation practitioners and the local forest management committees engaged in implementing REDD+ actively translate and influence the policy and its implementation in accordance with their respective interests through...... particular communication strategies. When assessing project progress and outcomes, the conservation practitioners involved in implementing projects show an interest in emphasising positive project assessments by downplaying potential project complications, and by primarily communicating with pro...

Improving clustering with metabolic pathway data.

Science.gov (United States)

Milone, Diego H; Stegmayer, Georgina; López, Mariana; Kamenetzky, Laura; Carrari, Fernando

2014-04-10

It is a common practice in bioinformatics to validate each group returned by a clustering algorithm through manual analysis, according to a-priori biological knowledge. This procedure helps finding functionally related patterns to propose hypotheses for their behavior and the biological processes involved. Therefore, this knowledge is used only as a second step, after data are just clustered according to their expression patterns. Thus, it could be very useful to be able to improve the clustering of biological data by incorporating prior knowledge into the cluster formation itself, in order to enhance the biological value of the clusters. A novel training algorithm for clustering is presented, which evaluates the biological internal connections of the data points while the clusters are being formed. Within this training algorithm, the calculation of distances among data points and neurons centroids includes a new term based on information from well-known metabolic pathways. The standard self-organizing map (SOM) training versus the biologically-inspired SOM (bSOM) training were tested with two real data sets of transcripts and metabolites from Solanum lycopersicum and Arabidopsis thaliana species. Classical data mining validation measures were used to evaluate the clustering solutions obtained by both algorithms. Moreover, a new measure that takes into account the biological connectivity of the clusters was applied. The results of bSOM show important improvements in the convergence and performance for the proposed clustering method in comparison to standard SOM training, in particular, from the application point of view. Analyses of the clusters obtained with bSOM indicate that including biological information during training can certainly increase the biological value of the clusters found with the proposed method. It is worth to highlight that this fact has effectively improved the results, which can simplify their further analysis.The algorithm is available as a

"No queremos vender oxígeno" : the implementation of a REDD pilot project in the Bolivian Amazon

OpenAIRE

Bardalen, Ingunn

2011-01-01

Based on a six month fieldwork in an indigenous community in an indigenous territory, TCO, this thesis explore the initial stages of the implementation of a REDD pilot project in the northern Bolivian amazon. Since the establishment of the indigenous territory, there has been increasing pressure from logging companies and illegal logging, which has caused forest degradation in these areas. The REDD pilot project seek to reduce forest degradation in this area, and through monitoring this reduc...

A methodology to estimate impacts of domestic policies on deforestation: Compensated Successful Efforts for “avoided deforestation” (REDD)

OpenAIRE

Pascale Combes Motel; Romain Pirard; Jean-Louis Combes

2011-01-01

Climate change mitigation would benefit from Reduced Emissions from Deforestation and Degradation (REDD) in developing countries. The REDD mechanism is in charge of distilling the right incentives for fostering forest conservation with appropriate compensation of foregone revenues, which in turn is related to avoided deforestation (how many hectares of forests are saved). Although any prediction of deforestation rates (i.e. business-as-usual scenarios) is challenging, and any negotiated targe...

Seeing REDD in the Amazon: a win for people, trees and climate

Energy Technology Data Exchange (ETDEWEB)

Viana, Virgilio M.

2009-03-15

Tucked away in a tangle of Brazilian rainforest, a quiet revolution is unfolding. In Amazonas, the country's biggest state, people are using an approach called REDD to conserve their forests in return for credit. This project's success has huge implications for reducing deforestation, cutting emissions and eradicating poverty, and its time has definitely come. Between 1990 and 2005, over a million square kilometres of forest were lost in the tropics. Half that was in the Amazon. Deforestation accounts for over 17 per cent of global greenhouse gas emissions, so a curb on felling is key to successfully mitigating climate change. But the Amazon is prey to unsustainable development, and the costs of inaction and laissez-faire are higher than those of stopping deforestation. REDD is the most promising solution yet for this volatile mix of issues.

How countries link REDD+ interventions to drivers in their readiness plans: implications for monitoring systems

International Nuclear Information System (INIS)

Salvini, G; Herold, M; De Sy, V; Kissinger, G; Brockhaus, M; Skutsch, M

2014-01-01

Countries participating in the REDD+ scheme are in the readiness phase, designing policy interventions to address drivers of deforestation and forest degradation (DD). In order for REDD+ interventions to be effective, it is essential that they take into account the specific drivers that they aim to address. Moreover it is crucial to design systems that monitor the effectiveness of the planned interventions. In this article we provide a comprehensive and comparative assessment of interventions proposed by 43 REDD+ countries in 98 readiness documents. We summarize the types of interventions and assess if they are formulated referring to the drivers of DD that they are aiming to address. Based on this assessment we consider the implications for systems for monitoring effectiveness of proposed interventions. Most countries reviewed link proposed interventions to specific drivers of DD. The majority of the countries making this link have better driver data quality, in particularly those that present their data in ratio or ordinal terms. Proposed interventions focus not only on activities to reduce deforestation, but also on other forest related REDD+ activities such as sustainable forest management, which reduce forest degradation and enhance forest stocks. Moreover, driver-specific interventions often relate to drivers not only inside but also outside the forest sector. Hence we suggest that monitoring systems need to assess not only deforestation rates through remote sensing, but also degradation and other carbon stock changes within the forest, using more detailed ground level surveys and measurements. In addition, the performance of interventions outside the forest need to be monitored, even if the impacts of these cannot be linked to specific changes in forest carbon stock in specific locations. (paper)

Large scale land acquisitions and REDD+: a synthesis of conflicts and opportunities

NARCIS (Netherlands)

Carter, Sarah; Manceur, Ameur M.; Seppelt, Ralf; Hermans, Kathleen; Herold, Martin; Verchot, Louis V.

2017-01-01

Large scale land acquisitions (LSLA), and Reducing Emissions from Deforestation and forest Degradation (REDD+) are both land based phenomena which when occurring in the same area, can compete with each other for land. A quantitative analysis of country characteristics revealed that land available

Is REDD+ finance really put to work in the right places?

DEFF Research Database (Denmark)

Scheba, Andreas; Lund, Jens Friis; Bukhi, Mathew

2016-01-01

The authors of this guest commentary write that their research “shows that REDD+ finance does not necessarily reach the most relevant people to make a difference on the ground nor does it necessarily address the underlying causes and drivers of deforestation.” The views expressed are those of the...

A participatory approach to elucidate the consequences of land invasions on REDD+ initiatives: A case study with Indigenous communities in Panama.

Science.gov (United States)

Vergara-Asenjo, Gerardo; Mateo-Vega, Javier; Alvarado, Alexis; Potvin, Catherine

2017-01-01

Land tenure and tenure security are among the most important factors determining the viability and success of Reducing Emissions from Deforestation and Forest Degradation (REDD+) initiatives. The premise of the present paper is that territorial conflicts lead to forest loss and compromise the successful implementation of REDD+. Within this context, the main objectives of this paper are to (i) document, relying on participatory methods, the extent to which land conflicts drive deforestation and (ii) reflect on the legal context of REDD+ examining if, from an Indigenous perspective, it offers tools to resolve such conflicts. We used the Upper Bayano Watershed in eastern Panama as a case study of complex land tenure dynamics, and their effects on forest conservation in the context of REDD+. Combining a range of participatory methods including participatory mapping and forest carbon stock assessment, we estimated the consequences of land invasions on forest carbon stocks. Our analysis shows that invasions of Indigenous territories amounted to 27.6% of the total deforestation for the period of 2001-2014. The situation is of paramount concern in the Embera territory of Majé where 95.4% of total deforestation was caused by colonist invaders. Using and validating the maps made freely available by the Global Forest Change initiative of the University of Maryland, we then developed a reference level for the watershed and carried out a back of the envelop estimation of likely REDD+ revenue, showing its potential to bring much needed income to Indigenous communities striving to protect their forest estate. Our analysis of current legislation in Panama highlights confusion and important legal voids and emphasizes the strong links between land tenure, carbon ownership, and territorial invasions. The options and shortcoming of implementing REDD+ in Indigenous territories is discussed in the conclusion taking our legal review into account.

Top-down, Bottom-up and Sideways: The Multilayered Complexities of Multi-level Actors Shaping Forest Governance and REDD+ Arrangements in Madre de Dios, Peru.

Science.gov (United States)

Rodriguez-Ward, Dawn; Larson, Anne M; Ruesta, Harold Gordillo

2018-01-03

This study examines the role multilevel governance plays in the adoption of sustainable landscape management initiatives in emerging arrangements aimed at reducing emissions from deforestation and forest degradation (REDD+). It sheds light on the challenges these multiple layers of actors and interests encounter around such alternatives in a subnational jurisdiction. Through transcript analysis of 93 interviews with institutional actors in the region of Madre de Dios, Peru, particularly with regard to five sites of land-use change, we identified the multiple actors who are included and excluded in the decision-making process and uncovered their complex interactions in forest and landscape governance and REDD+ arrangements. Madre de Dios is a useful case for studying complex land-use dynamics, as it is home to multiple natural resources, a large mix of actors and interests, and a regional government that has recently experienced the reverberations of decentralization. Findings indicate that multiple actors shaped REDD+ to some extent, but REDD+ and its advocates were unable to shape land-use dynamics or landscape governance, at least in the short term. In the absence of strong and effective regional regulation for sustainable land use alternatives and the high value of gold on the international market, illegal gold mining proved to be a more profitable land-use choice. Although REDD+ created a new space for multilevel actor interaction and communication and new alliances to emerge, the study questions the prevailing REDD+ discourse suggesting that better coordination and cooperation will lead to integrated landscape solutions. For REDD+ to be able to play a role in integrated landscape governance, greater attention needs to be paid to grassroots actors, power and authority over territory and underlying interests and incentives for land-use change.

Carbonizing forest governance: analyzing the consequences of REDD+ for multilevel forest governance

NARCIS (Netherlands)

Vijge, M.J.

2016-01-01

Carbonizing forest governance:

Analyzing the consequences of REDD+ for multilevel forest governance

Marjanneke J. Vijge

Despite the fifty years of global action to combat deforestation and forest degradation, the world is still

Can Community Members Identify Tropical Tree Species for REDD+ Carbon and Biodiversity Measurements?

Science.gov (United States)

Zhao, Mingxu; Brofeldt, Søren; Li, Qiaohong; Xu, Jianchu; Danielsen, Finn; Læssøe, Simon Bjarke Lægaard; Poulsen, Michael Køie; Gottlieb, Anna; Maxwell, James Franklin; Theilade, Ida

2016-01-01

Biodiversity conservation is a required co-benefit of REDD+. Biodiversity monitoring is therefore needed, yet in most areas it will be constrained by limitations in the available human professional and financial resources. REDD+ programs that use forest plots for biomass monitoring may be able to take advantage of the same data for detecting changes in the tree diversity, using the richness and abundance of canopy trees as a proxy for biodiversity. If local community members are already assessing the above-ground biomass in a representative network of forest vegetation plots, it may require minimal further effort to collect data on the diversity of trees. We compare community members and trained scientists' data on tree diversity in permanent vegetation plots in montane forest in Yunnan, China. We show that local community members here can collect tree diversity data of comparable quality to trained botanists, at one third the cost. Without access to herbaria, identification guides or the Internet, community members could provide the ethno-taxonomical names for 95% of 1071 trees in 60 vegetation plots. Moreover, we show that the community-led survey spent 89% of the expenses at village level as opposed to 23% of funds in the monitoring by botanists. In participatory REDD+ programs in areas where community members demonstrate great knowledge of forest trees, community-based collection of tree diversity data can be a cost-effective approach for obtaining tree diversity information.

Can Community Members Identify Tropical Tree Species for REDD+ Carbon and Biodiversity Measurements?

Directory of Open Access Journals (Sweden)

Mingxu Zhao

Full Text Available Biodiversity conservation is a required co-benefit of REDD+. Biodiversity monitoring is therefore needed, yet in most areas it will be constrained by limitations in the available human professional and financial resources. REDD+ programs that use forest plots for biomass monitoring may be able to take advantage of the same data for detecting changes in the tree diversity, using the richness and abundance of canopy trees as a proxy for biodiversity. If local community members are already assessing the above-ground biomass in a representative network of forest vegetation plots, it may require minimal further effort to collect data on the diversity of trees. We compare community members and trained scientists' data on tree diversity in permanent vegetation plots in montane forest in Yunnan, China. We show that local community members here can collect tree diversity data of comparable quality to trained botanists, at one third the cost. Without access to herbaria, identification guides or the Internet, community members could provide the ethno-taxonomical names for 95% of 1071 trees in 60 vegetation plots. Moreover, we show that the community-led survey spent 89% of the expenses at village level as opposed to 23% of funds in the monitoring by botanists. In participatory REDD+ programs in areas where community members demonstrate great knowledge of forest trees, community-based collection of tree diversity data can be a cost-effective approach for obtaining tree diversity information.

Tropical wetlands and REDD+: Three unique scientific challenges for policy

Directory of Open Access Journals (Sweden)

Daniel A Friess

2013-07-01

Full Text Available The carbon sequestration and storage value of terrestrial habitats is now increasingly appreciated, and is the basis for Payment for Ecosystem Service (PES policies such as REDD+. Tropical wetlands may be suitable for inclusion in such schemes because of the disproportionately large volume of carbon they are able to store. However, tropical wetlands offer a number of unique challenges for carbon management and policy compared to terrestrial forest systems: 1 Tropical wetlands are dynamic and subject to a wide range of physical and ecological processes that affect their long-term carbon storage potential – thus, such systems can quickly become a carbon source instead of a sink; 2 Carbon dynamics in tropical wetlands often operate over longer time-scales than are currently covered by REDD+ payments; and 3 Much of the carbon in a tropical wetland is stored in the soil, so monitoring, reporting and verification (MRV needs to adequately encapsulate the entire ecosystem and not just the vegetative component. This paper discusses these physical and biological concepts, and highlights key legal, management and policy questions that must be considered when constructing a policy framework to conserve these crucial ecosystems.

Avoiding treatment bias of REDD+ monitoring by sampling with partial replacement

Science.gov (United States)

Michael Kohl; Charles T Scott; Andrew J Lister; Inez Demon; Daniel. Plugge

2015-01-01

Implementing REDD+ renders the development of a measurement, reporting and verification (MRV) system necessary to monitor carbon stock changes. MRV systems generally apply a combination of remote sensing techniques and in-situ field assessments. In-situ assessments can be based on 1) permanent plots, which are assessed on all successive occasions, 2) temporary plots,...

REDD+ and international leakage via food and timber markets: a CGE analysis

NARCIS (Netherlands)

Kuik, O.J.

2014-01-01

This paper studies the effect of international trade in food and timber on land use and potential carbon leakage in the context of actions to reduce emissions from deforestation and forest degradation (REDD+). First a simple analytical model of international leakage is presented that focuses on

Linking community-based and national REDD+ monitoring: a review of the potential

NARCIS (Netherlands)

Pratihast, A.K.; Herold, M.; Sy, de V.; Murdiyarso, D.; Skutsch, M.

2013-01-01

Countries participating in REDD+ schemes are required to establish a national monitoring system that keeps track of forest carbon changes over time. Community-based monitoring (CBM) can be useful for tracking locally driven forest change activities and their impacts. In this paper, we review some of

Considering land tenure in REDD+ participatory measurement, reporting, and verification: A case study from Indonesia.

Directory of Open Access Journals (Sweden)

Mary Elizabeth Felker

Full Text Available Measurement, Reporting, and Verification (MRV systems are thought to be essential for effective carbon accounting and joint REDD+ carbon, conservation, and social development goals. Community participation in MRV (PMRV has been shown to be both cost effective and accurate, as well as a method to potentially advance stakeholder empowerment and perceptions of legitimacy. Recognizing land tenure as a long-standing point of tension in REDD+ planning, we argue that its engagement also has a key role to play in developing a legitimate PMRV. Using household surveys, key informant interviews, and participatory mapping exercises, we present three 'lived' land tenure contexts in Indonesia to highlight their socially and ecologically situated natures and to consider the role of tenure pluralism in shaping PMRV. We then raise and interrogate three questions for incorporating lived land tenure contexts into a legitimate PMRV system: 1 Who holds the right to conduct PMRV activities?; 2 How are the impacts of PMRV differentially distributed within local communities?; and 3 What is the relationship between tenure security and motivation to participate in PMRV? We conclude with implementation lessons for REDD+ practitioners, including the benefits of collaborative practices, and point to critical areas for further research.

Social equity and livelihood implications of REDD+ in rural communities – a case study from Nepal

Directory of Open Access Journals (Sweden)

Mohan Poudel

2015-03-01

Full Text Available Despite growing international consensus that the use of the policy instrument REDD+ (Reducing Emissions from Deforestation and forest Degradation in developing countries could be an effective way to reduce carbon emissions from the forestry sector and support bio-diversity with livelihood benefits, there are a range of unresolved issues, including potential implications for rural livelihoods. This paper presents results from recent research that examines social equity and livelihood implications of the piloting of REDD+ through Nepal’s community forestry system, within selected villages in the Gorkha district of Nepal. The research reveals the varying experiences of households, closely correlated to the socio-economic attributes of the households. Despite the ‘no harm and equitable’ policy, this research indicates that not everyone is experiencing the anticipated benefits of REDD+. Although poorer, women-headed and marginalized households are targeted in some ways (e.g. seed grants, the support is limited, and inadequately compensates the loss they have experienced in other ways (e.g. limited access to forests. Households bundling by caste may not necessarily address equity, but is likely to increase intra-caste marginalization.

Trade-offs, co-benefits and safeguards: Current debates on the breadth of REDD+.

NARCIS (Netherlands)

Visseren-Hamakers, I.J.; McDermott, C.; Vijge, M.J.; Cashore, B.

2012-01-01

Fundamental trade-offs exist between different land uses for carbon, livelihoods, economic development, biodiversity, agriculture and energy (especially biofuels). This article analyses the scientific debates on REDD+ trade-offs, co-benefits and safeguards, and shows how the development and expanded

Fuzzy difference and data primitives: a transparent approach for supporting different definitions of forest in the context of REDD+

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A. Comber

2018-04-01

Full Text Available This paper explores the use of fuzzy difference methods in order to understand the differences between forest classes. The context for this work is provided by REDD+, which seeks to reduce the net emissions of greenhouse gases by rewarding the conservation of forests in developing countries. REDD+ requires that local inventories of forest are undertaken and payments are made on the basis of the amount of forest (and associated carbon storage. At the most basic level this involves classifying land into forest and non-forest. However, the critical issues affecting the uptake, buy-in and ultimately the success of REDD+ are the lack of universally agreed definition of forest to support REDD+ mapping activities, and where such a definition is imposed, the marginalization of local community voices and local landscape conceptualizations. This tension is at the heart of REDD+. This paper addresses these issues by linking methods to quantify changes in fuzzy land cover to the concept of data primitives, which have been previously proposed as a suitable approach to move between land cover classes with different semantics. These are applied to case study that quantifies the difference in areas for two definitions of forest derived from the GLC and FAO definitions of forest. The results show how data primitives allow divergent concepts of forest to be represented and mapped from the same data and how the fuzzy sets approach can be used to quantify the differences and non-intersections of different concepts of forest. Together these methods provide for transparent translations between alternative conceptualizations of forest, allowing for plural notions of forest to be mapped and quantified. In particular, they allow for moving from an object-based notion of forest (and land cover in general to a field-based one, entirely avoiding the need for forest boundaries.

Policy options for effective REDD+ implementation in Indonesia

DEFF Research Database (Denmark)

Saito, Moeko; Sikor, T.; Kurniawan, Y.

2015-01-01

Indonesia, which contains the third-largest area of tropical forest in the world, is currently exploring policy options for the effective implementation of REDD+, the global initiative to reduce emissions from deforestation and forest degradation. This article analyses the major questions regarding...... the effective distribution of benefits on the basis of three village case studies in Kutai Barat district in the province of East Kalimantan. The case studies demonstrate that companies are unlikely to take up compensation payments for stopping large-scale activities that cause deforestation and forest...

Assessing REDD+ performance of countries with low monitoring capacities: the matrix approach

International Nuclear Information System (INIS)

Bucki, M; Cuypers, D; Mayaux, P; Achard, F; Estreguil, C; Grassi, G

2012-01-01

Estimating emissions from deforestation and degradation of forests in many developing countries is so uncertain that the effects of changes in forest management could remain within error ranges (i.e. undetectable) for several years. Meanwhile UNFCCC Parties need consistent time series of meaningful performance indicators to set credible benchmarks and allocate REDD+ incentives to the countries, programs and activities that actually reduce emissions, while providing social and environmental benefits. Introducing widespread measuring of carbon in forest land (which would be required to estimate more accurately changes in emissions from degradation and forest management) will take time and considerable resources. To ensure the overall credibility and effectiveness of REDD+, parties must consider the design of cost-effective systems which can provide reliable and comparable data on anthropogenic forest emissions. Remote sensing can provide consistent time series of land cover maps for most non-Annex-I countries, retrospectively. These maps can be analyzed to identify the forests that are intact (i.e. beyond significant human influence), and whose fragmentation could be a proxy for degradation. This binary stratification of forests biomes (intact/non-intact), a transition matrix and the use of default carbon stock change factors can then be used to provide initial estimates of trends in emission changes. A proof-of-concept is provided for one biome of the Democratic Republic of the Congo over a virtual commitment period (2005–2010). This approach could allow assessment of the performance of the five REDD+ activities (deforestation, degradation, conservation, management and enhancement of forest carbon stocks) in a spatially explicit, verifiable manner. Incentives could then be tailored to prioritize activities depending on the national context and objectives. (letter)

Assessing REDD+ performance of countries with low monitoring capacities: the matrix approach

Science.gov (United States)

Bucki, M.; Cuypers, D.; Mayaux, P.; Achard, F.; Estreguil, C.; Grassi, G.

2012-03-01

Estimating emissions from deforestation and degradation of forests in many developing countries is so uncertain that the effects of changes in forest management could remain within error ranges (i.e. undetectable) for several years. Meanwhile UNFCCC Parties need consistent time series of meaningful performance indicators to set credible benchmarks and allocate REDD+ incentives to the countries, programs and activities that actually reduce emissions, while providing social and environmental benefits. Introducing widespread measuring of carbon in forest land (which would be required to estimate more accurately changes in emissions from degradation and forest management) will take time and considerable resources. To ensure the overall credibility and effectiveness of REDD+, parties must consider the design of cost-effective systems which can provide reliable and comparable data on anthropogenic forest emissions. Remote sensing can provide consistent time series of land cover maps for most non-Annex-I countries, retrospectively. These maps can be analyzed to identify the forests that are intact (i.e. beyond significant human influence), and whose fragmentation could be a proxy for degradation. This binary stratification of forests biomes (intact/non-intact), a transition matrix and the use of default carbon stock change factors can then be used to provide initial estimates of trends in emission changes. A proof-of-concept is provided for one biome of the Democratic Republic of the Congo over a virtual commitment period (2005-2010). This approach could allow assessment of the performance of the five REDD+ activities (deforestation, degradation, conservation, management and enhancement of forest carbon stocks) in a spatially explicit, verifiable manner. Incentives could then be tailored to prioritize activities depending on the national context and objectives.

Evaluating the Potential of Commercial Forest Inventory Data to Report on Forest Carbon Stock and Forest Carbon Stock Changes for REDD+ under the UNFCCC

Directory of Open Access Journals (Sweden)

Danae Maniatis

2011-01-01

Full Text Available In the context of the adoption at the 16th Conference of the Parties in 2010 on the REDD+ mitigation mechanism, it is important to obtain reliable data on the spatiotemporal variation of forest carbon stocks and changes (called Emission Factor, EF. A re-occurring debate in estimating EF for REDD+ is the use of existing field measurement data. We provide an assessment of the use of commercial logging inventory data and ecological data to estimate a conservative EF (REDD+ phase 2 or to report on EF following IPCC Guidance and Guidelines (REDD+ phase 3. The data presented originate from five logging companies dispersed over Gabon, totalling 2,240 plots of 0.3 hectares.We distinguish three Forest Types (FTs in the dataset based on floristic conditions. Estimated mean aboveground biomass (AGB in the FTs ranges from 312 to 333 Mg ha−1. A 5% accuracy is reached with the number of plots put in place for the FTs and a low sampling uncertainty obtained (± 10 to 13 Mg ha−1. The data could be used to estimate a conservative EF in REDD+ phase 2 and only partially to report on EF following tier 2 requirements for a phase 3.

Methodologies for Improved Tag Cloud Generation with Clustering

DEFF Research Database (Denmark)

Leginus, Martin; Dolog, Peter; Lage, Ricardo Gomes

2012-01-01

Tag clouds are useful means for navigation in the social web systems. Usually the systems implement the tag cloud generation based on tag popularity which is not always the best method. In this paper we propose methodologies on how to combine clustering into the tag cloud generation to improve...... coverage and overlap. We study several clustering algorithms to generate tag clouds. We show that by extending cloud generation based on tag popularity with clustering we slightly improve coverage. We also show that if the cloud is generated by clustering independently of the tag popularity baseline we...

Mobile devices for community-based REDD+ monitoring: a case study for Central Vietnam.

Science.gov (United States)

Pratihast, Arun Kumar; Herold, Martin; Avitabile, Valerio; de Bruin, Sytze; Bartholomeus, Harm; Souza, Carlos M; Ribbe, Lars

2012-12-20

Monitoring tropical deforestation and forest degradation is one of the central elements for the Reduced Emissions from Deforestation and Forest Degradation in developing countries (REDD+) scheme. Current arrangements for monitoring are based on remote sensing and field measurements. Since monitoring is the periodic process of assessing forest stands properties with respect to reference data, adopting the current REDD+ requirements for implementing monitoring at national levels is a challenging task. Recently, the advancement in Information and Communications Technologies (ICT) and mobile devices has enabled local communities to monitor their forest in a basic resource setting such as no or slow internet connection link, limited power supply, etc. Despite the potential, the use of mobile device system for community based monitoring (CBM) is still exceptional and faces implementation challenges. This paper presents an integrated data collection system based on mobile devices that streamlines the community-based forest monitoring data collection, transmission and visualization process. This paper also assesses the accuracy and reliability of CBM data and proposes a way to fit them into national REDD+ Monitoring, Reporting and Verification (MRV) scheme. The system performance is evaluated at Tra Bui commune, Quang Nam province, Central Vietnam, where forest carbon and change activities were tracked. The results show that the local community is able to provide data with accuracy comparable to expert measurements (index of agreement greater than 0.88), but against lower costs. Furthermore, the results confirm that communities are more effective to monitor small scale forest degradation due to subsistence fuel wood collection and selective logging, than high resolution remote sensing SPOT imagery.

Options for a National Framework for Benefit Distribution and Their Relation to Community-Based and National REDD+ Monitoring

Directory of Open Access Journals (Sweden)

Margaret Skutsch

2014-07-01

Full Text Available Monitoring is a central element in the implementation of national REDD+ and may be essential in providing the data needed to support benefit distribution. We discuss the options for benefit sharing systems in terms of technical feasibility and political acceptability in respect of equity considerations, and the kind of data that would be needed for the different options. We contrast output-based distribution systems, in which rewards are distributed according to performance measured in terms of carbon impacts, with input-based systems in which performance is measured in term of compliance with prescribed REDD+ activities. Output-based systems, which would require regular community carbon inventories to produce Tier 3 data locally, face various challenges particularly for the case of assessing avoided deforestation, and they may not be perceived as equitable. Input-based systems would require data on activities undertaken rather than change in stocks; this information could come from community-acquired data. We also consider how community monitored data could support national forest monitoring systems and the further development of national REDD+.

Improved multi-objective clustering algorithm using particle swarm optimization.

Science.gov (United States)

Gong, Congcong; Chen, Haisong; He, Weixiong; Zhang, Zhanliang

2017-01-01

Multi-objective clustering has received widespread attention recently, as it can obtain more accurate and reasonable solution. In this paper, an improved multi-objective clustering framework using particle swarm optimization (IMCPSO) is proposed. Firstly, a novel particle representation for clustering problem is designed to help PSO search clustering solutions in continuous space. Secondly, the distribution of Pareto set is analyzed. The analysis results are applied to the leader selection strategy, and make algorithm avoid trapping in local optimum. Moreover, a clustering solution-improved method is proposed, which can increase the efficiency in searching clustering solution greatly. In the experiments, 28 datasets are used and nine state-of-the-art clustering algorithms are compared, the proposed method is superior to other approaches in the evaluation index ARI.

An Improved Cluster Richness Estimator

Energy Technology Data Exchange (ETDEWEB)

Rozo, Eduardo; /Ohio State U.; Rykoff, Eli S.; /UC, Santa Barbara; Koester, Benjamin P.; /Chicago U. /KICP, Chicago; McKay, Timothy; /Michigan U.; Hao, Jiangang; /Michigan U.; Evrard, August; /Michigan U.; Wechsler, Risa H.; /SLAC; Hansen, Sarah; /Chicago U. /KICP, Chicago; Sheldon, Erin; /New York U.; Johnston, David; /Houston U.; Becker, Matthew R.; /Chicago U. /KICP, Chicago; Annis, James T.; /Fermilab; Bleem, Lindsey; /Chicago U.; Scranton, Ryan; /Pittsburgh U.

2009-08-03

Minimizing the scatter between cluster mass and accessible observables is an important goal for cluster cosmology. In this work, we introduce a new matched filter richness estimator, and test its performance using the maxBCG cluster catalog. Our new estimator significantly reduces the variance in the L{sub X}-richness relation, from {sigma}{sub lnL{sub X}}{sup 2} = (0.86 {+-} 0.02){sup 2} to {sigma}{sub lnL{sub X}}{sup 2} = (0.69 {+-} 0.02){sup 2}. Relative to the maxBCG richness estimate, it also removes the strong redshift dependence of the richness scaling relations, and is significantly more robust to photometric and redshift errors. These improvements are largely due to our more sophisticated treatment of galaxy color data. We also demonstrate the scatter in the L{sub X}-richness relation depends on the aperture used to estimate cluster richness, and introduce a novel approach for optimizing said aperture which can be easily generalized to other mass tracers.

Would protecting tropical forest fragments provide carbon and biodiversity cobenefits under REDD+?

Science.gov (United States)

Magnago, Luiz Fernando S; Magrach, Ainhoa; Laurance, William F; Martins, Sebastião V; Meira-Neto, João Augusto A; Simonelli, Marcelo; Edwards, David P

2015-09-01

Tropical forests store vast amounts of carbon and are the most biodiverse terrestrial habitats, yet they are being converted and degraded at alarming rates. Given global shortfalls in the budgets required to prevent carbon and biodiversity loss, we need to seek solutions that simultaneously address both issues. Of particular interest are carbon-based payments under the Reducing Emissions from Deforestation and Forest Degradation (REDD+) mechanism to also conserve biodiversity at no additional cost. One potential is for REDD+ to protect forest fragments, especially within biomes where contiguous forest cover has diminished dramatically, but we require empirical tests of the strength of any carbon and biodiversity cobenefits in such fragmented systems. Using the globally threatened Atlantic Forest landscape, we measured above-ground carbon stocks within forest fragments spanning 13 to 23 442 ha in area and with different degrees of isolation. We related these stocks to tree community structure and to the richness and abundance of endemic and IUCN Red-listed species. We found that increasing fragment size has a positive relationship with above-ground carbon stock and with abundance of IUCN Red-listed species and tree community structure. We also found negative relationships between distance from large forest block and tree community structure, endemic species richness and abundance, and IUCN Red-listed species abundance. These resulted in positive congruence between carbon stocks and Red-listed species, and the abundance and richness of endemic species, demonstrating vital cobenefits. As such, protecting forest fragments in hotspots of biodiversity, particularly larger fragments and those closest to sources, offers important carbon and biodiversity cobenefits. More generally, our results suggest that macroscale models of cobenefits under REDD+ have likely overlooked key benefits at small scales, indicating the necessity to apply models that include finer

National satellite-based humid tropical forest change assessment in Peru in support of REDD+ implementation

Science.gov (United States)

Potapov, P. V.; Dempewolf, J.; Talero, Y.; Hansen, M. C.; Stehman, S. V.; Vargas, C.; Rojas, E. J.; Castillo, D.; Mendoza, E.; Calderón, A.; Giudice, R.; Malaga, N.; Zutta, B. R.

2014-12-01

Transparent, consistent, and accurate national forest monitoring is required for successful implementation of reducing emissions from deforestation and forest degradation (REDD+) programs. Collecting baseline information on forest extent and rates of forest loss is a first step for national forest monitoring in support of REDD+. Peru, with the second largest extent of Amazon basin rainforest, has made significant progress in advancing its forest monitoring capabilities. We present a national-scale humid tropical forest cover loss map derived by the Ministry of Environment REDD+ team in Peru. The map quantifies forest loss from 2000 to 2011 within the Peruvian portion of the Amazon basin using a rapid, semi-automated approach. The available archive of Landsat imagery (11 654 scenes) was processed and employed for change detection to obtain annual gross forest cover loss maps. A stratified sampling design and a combination of Landsat (30 m) and RapidEye (5 m) imagery as reference data were used to estimate the primary forest cover area, total gross forest cover loss area, proportion of primary forest clearing, and to validate the Landsat-based map. Sample-based estimates showed that 92.63% (SE = 2.16%) of the humid tropical forest biome area within the country was covered by primary forest in the year 2000. Total gross forest cover loss from 2000 to 2011 equaled 2.44% (SE = 0.16%) of the humid tropical forest biome area. Forest loss comprised 1.32% (SE = 0.37%) of primary forest area and 9.08% (SE = 4.04%) of secondary forest area. Validation confirmed a high accuracy of the Landsat-based forest cover loss map, with a producer’s accuracy of 75.4% and user’s accuracy of 92.2%. The majority of forest loss was due to clearing (92%) with the rest attributed to natural processes (flooding, fires, and windstorms). The implemented Landsat data processing and classification system may be used for operational annual forest cover loss updates at the national level for REDD

National satellite-based humid tropical forest change assessment in Peru in support of REDD+ implementation

International Nuclear Information System (INIS)

Potapov, P V; Dempewolf, J; Talero, Y; Hansen, M C; Stehman, S V; Vargas, C; Rojas, E J; Calderón, A; Giudice, R; Malaga, N; Zutta, B R; Castillo, D; Mendoza, E

2014-01-01

Transparent, consistent, and accurate national forest monitoring is required for successful implementation of reducing emissions from deforestation and forest degradation (REDD+) programs. Collecting baseline information on forest extent and rates of forest loss is a first step for national forest monitoring in support of REDD+. Peru, with the second largest extent of Amazon basin rainforest, has made significant progress in advancing its forest monitoring capabilities. We present a national-scale humid tropical forest cover loss map derived by the Ministry of Environment REDD+ team in Peru. The map quantifies forest loss from 2000 to 2011 within the Peruvian portion of the Amazon basin using a rapid, semi-automated approach. The available archive of Landsat imagery (11 654 scenes) was processed and employed for change detection to obtain annual gross forest cover loss maps. A stratified sampling design and a combination of Landsat (30 m) and RapidEye (5 m) imagery as reference data were used to estimate the primary forest cover area, total gross forest cover loss area, proportion of primary forest clearing, and to validate the Landsat-based map. Sample-based estimates showed that 92.63% (SE = 2.16%) of the humid tropical forest biome area within the country was covered by primary forest in the year 2000. Total gross forest cover loss from 2000 to 2011 equaled 2.44% (SE = 0.16%) of the humid tropical forest biome area. Forest loss comprised 1.32% (SE = 0.37%) of primary forest area and 9.08% (SE = 4.04%) of secondary forest area. Validation confirmed a high accuracy of the Landsat-based forest cover loss map, with a producer’s accuracy of 75.4% and user’s accuracy of 92.2%. The majority of forest loss was due to clearing (92%) with the rest attributed to natural processes (flooding, fires, and windstorms). The implemented Landsat data processing and classification system may be used for operational annual forest cover loss updates at the national level

Improved multi-objective clustering algorithm using particle swarm optimization.

Directory of Open Access Journals (Sweden)

Congcong Gong

Full Text Available Multi-objective clustering has received widespread attention recently, as it can obtain more accurate and reasonable solution. In this paper, an improved multi-objective clustering framework using particle swarm optimization (IMCPSO is proposed. Firstly, a novel particle representation for clustering problem is designed to help PSO search clustering solutions in continuous space. Secondly, the distribution of Pareto set is analyzed. The analysis results are applied to the leader selection strategy, and make algorithm avoid trapping in local optimum. Moreover, a clustering solution-improved method is proposed, which can increase the efficiency in searching clustering solution greatly. In the experiments, 28 datasets are used and nine state-of-the-art clustering algorithms are compared, the proposed method is superior to other approaches in the evaluation index ARI.

Defining Solutions, Finding Problems: Deforestation, Gender, and REDD+ in Burkina Faso

OpenAIRE

Lisa Westholm; Seema Arora-Jonsson

2015-01-01

Reducing Emissions from Deforestation and Degradation (REDD+) is a policy instrument meant to mitigate climate change while also achieving poverty reduction in tropical countries. It has garnered critics for homogenising environmental and development governance and for ignoring how similar efforts have tended to exacerbate gender inequalities. Nonetheless, regarding such schemes as inevitable, some feminists argue for requirements that include women′s empowerment and participation. In this pa...

Using broad landscape level features to predict redd densities of steelhead trout (Oncorhynchus mykiss) and Chinook Salmon (Oncorhynchus tshawytscha) in the Methow River watershed, Washington

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Romine, Jason G.; Perry, Russell W.; Connolly, Patrick J.

2013-01-01

We used broad-scale landscape feature variables to model redd densities of spring Chinook salmon (Oncorhynchus tshawytscha) and steelhead trout (Oncorhynchus mykiss) in the Methow River watershed. Redd densities were estimated from redd counts conducted from 2005 to 2007 and 2009 for steelhead trout and 2005 to 2009 for spring Chinook salmon. These densities were modeled using generalized linear mixed models. Variables examined included primary and secondary geology type, habitat type, flow type, sinuosity, and slope of stream channel. In addition, we included spring effect and hatchery effect variables to account for high densities of redds near known springs and hatchery outflows. Variables were associated with National Hydrography Database reach designations for modeling redd densities within each reach. Reaches were assigned a dominant habitat type, geology, mean slope, and sinuosity. The best fit model for spring Chinook salmon included sinuosity, critical slope, habitat type, flow type, and hatchery effect. Flow type, slope, and habitat type variables accounted for most of the variation in the data. The best fit model for steelhead trout included year, habitat type, flow type, hatchery effect, and spring effect. The spring effect, flow type, and hatchery effect variables explained most of the variation in the data. Our models illustrate how broad-scale landscape features may be used to predict spawning habitat over large areas where fine-scale data may be lacking.

Improving local clustering based top-L link prediction methods via asymmetric link clustering information

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Wu, Zhihao; Lin, Youfang; Zhao, Yiji; Yan, Hongyan

2018-02-01

Networks can represent a wide range of complex systems, such as social, biological and technological systems. Link prediction is one of the most important problems in network analysis, and has attracted much research interest recently. Many link prediction methods have been proposed to solve this problem with various techniques. We can note that clustering information plays an important role in solving the link prediction problem. In previous literatures, we find node clustering coefficient appears frequently in many link prediction methods. However, node clustering coefficient is limited to describe the role of a common-neighbor in different local networks, because it cannot distinguish different clustering abilities of a node to different node pairs. In this paper, we shift our focus from nodes to links, and propose the concept of asymmetric link clustering (ALC) coefficient. Further, we improve three node clustering based link prediction methods via the concept of ALC. The experimental results demonstrate that ALC-based methods outperform node clustering based methods, especially achieving remarkable improvements on food web, hamster friendship and Internet networks. Besides, comparing with other methods, the performance of ALC-based methods are very stable in both globalized and personalized top-L link prediction tasks.

An improved clustering algorithm based on reverse learning in intelligent transportation

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Qiu, Guoqing; Kou, Qianqian; Niu, Ting

2017-05-01

With the development of artificial intelligence and data mining technology, big data has gradually entered people's field of vision. In the process of dealing with large data, clustering is an important processing method. By introducing the reverse learning method in the clustering process of PAM clustering algorithm, to further improve the limitations of one-time clustering in unsupervised clustering learning, and increase the diversity of clustering clusters, so as to improve the quality of clustering. The algorithm analysis and experimental results show that the algorithm is feasible.

Reducing emissions from deforestation and degradation in developing countries (REDD): insights from the UNFCCC COP-13 in Bali

International Nuclear Information System (INIS)

Wertz-Kanounnikoff, S.

2007-01-01

At the 10. anniversary of the Kyoto Protocol, the goal to reduce greenhouse gas (GHG) emissions that cause climate change remains of alarming importance. According to the Intergovernmental Panel on Climate Change, these emissions have grown by 70% since 1970; and in 2005 the concentration of the most important GHG, carbon dioxide (CO 2 ), peaked at its highest level for 650,000 years (IPCC 2007). The proposal to compensate reduced emissions from deforestation and degradation in developing countries (REDD), as an additional element in the international climate regime, was put forward to address the so far ignored up to 20% of global GHG emissions arising from forestry. Although excluded from the first commitment period of the Kyoto Protocol, the idea was submitted by Papua New Guinea and Costa Rica, on behalf of the Coalition of Rain forest Nations, at the 11. Conference of Parties (COP-11) to the UN Framework Convention on Climate Change in Montreal in 2005. The proposal has initiated a two year examination process, facilitated by the UNFCCC, and has attracted extremely high participation levels of the concerned stakeholders. As the examination process on REDD took place between 2005 and 2007, several points of agreement and disagreement were being revealed among the different country proposals. Points of agreement included inter alia: that REDD would need to play a role in future climate regimes; that there was a need to take into account national circumstances to successfully integrate developing countries; and capacity-building and pilot or demonstration activities (prior to 2012) are crucial to enable developing countries to effectively participate and benefit from REDD. Points of contention consisted in inter alia: the potential financing systems (market- or fund/ODA-based), the scope of activity (deforestation only or with forest degradation or with forest conservation), and the scale of implementation (national or project level). Decisive advance on the

Enhanced systems for measuring and monitoring REDD+: Opportunities to improve the accuracy of emission factor and activity data in Indonesia

Science.gov (United States)

Solichin

The importance of accurate measurement of forest biomass in Indonesia has been growing ever since climate change mitigation schemes, particularly the reduction of emissions from deforestation and forest degradation scheme (known as REDD+), were constitutionally accepted by the government of Indonesia. The need for an accurate system of historical and actual forest monitoring has also become more pronounced, as such a system would afford a better understanding of the role of forests in climate change and allow for the quantification of the impact of activities implemented to reduce greenhouse gas emissions. The aim of this study was to enhance the accuracy of estimations of carbon stocks and to monitor emissions in tropical forests. The research encompassed various scales (from trees and stands to landscape-sized scales) and a wide range of aspects, from evaluation and development of allometric equations to exploration of the potential of existing forest inventory databases and evaluation of cutting-edge technology for non-destructive sampling and accurate forest biomass mapping over large areas. In this study, I explored whether accuracy--especially regarding the identification and reduction of bias--of forest aboveground biomass (AGB) estimates in Indonesia could be improved through (1) development and refinement of allometric equations for major forest types, (2) integration of existing large forest inventory datasets, (3) assessing nondestructive sampling techniques for tree AGB measurement, and (4) landscape-scale mapping of AGB and forest cover using lidar. This thesis provides essential foundations to improve the estimation of forest AGB at tree scale through development of new AGB equations for several major forest types in Indonesia. I successfully developed new allometric equations using large datasets from various forest types that enable us to estimate tree aboveground biomass for both forest type specific and generic equations. My models outperformed

REDD+ in the Philippines: Legal status and conservation of mangrove forests in the Philippines

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Gloria Estenzo Ramos

2013-07-01

Full Text Available Mangroves perform a crucial role in maintaining the ecological integrity of the coastal ecosystem. They  act as filters in the coastal zone, preventing the damaging effects of upland sediments on seagrass beds and coral reefs, minimise the effects of storm surges and act as carbon sinks that mitigate climate change. These essential services, however, are degraded through indiscriminate cutting, conversion of mangrove swamps to fishponds, reclamation projects and other coastal developments and pollution. Experts reveal that the Indo-Malay Philippine Archipelago has one of the highest rates of mangroves loss. From an estimated 500,000 hectares of mangrove cover in 1918, only 120,000 hectares of mangroves remain in the Philippines today. The country has had the legal and policy framework to protect and conserve mangroves. But weak implementation of laws, overlapping functions among agencies and, in general, poor management by the people and local governments have hindered the sustainable management of mangrove forests. Positive developments, however, are taking place with the promulgation of laws on climate change and executive orders which specifically include mangrove and protected areas under the National Greening Program (NGP and addresses equity, food security and poverty issues by giving preference to NGP beneficiary communities as a priority in the Conditional Cash Transfer (CCT Program.  Moreover, participatory Planning and Multi-stakeholder Approaches are among the strategies contemplated by the Philippine National REDD + Strategy. The article examines the implementation and effects of the Philippine National REDD+ Strategy, the National Climate Change Action Plan which specifically integrates REDD+ and ecosystem valuation into decision-making, and the executive orders which support the mainstreaming of the National Greening Program.

Improved Density Functional Tight Binding Potentials for Metalloid Aluminum Clusters

Science.gov (United States)

2016-06-01

unlimited IMPROVED DENSITY-FUNCTIONAL TIGHT BINDING POTENTIALS FOR METALLOID ALUMINUM CLUSTERS by Joon H. Kim June 2016 Thesis Advisor...DATES COVERED Master’s thesis 4. TITLE AND SUBTITLE IMPROVED DENSITY-FUNCTIONAL TIGHT BINDING POTENTIALS FOR METALLOID ALUMINUM CLUSTERS 5. FUNDING...repulsive potentials for use in density-functional tight binding (DFTB) simulations of low-valence aluminum metalloid clusters . These systems are under

Evaluating Public Plantation and Community Planted Forests under the CDM and REDD+ Mechanism for Carbon Stock in Nepal

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Ram Asheshwar MANDAL

2013-09-01

Full Text Available Public plantations (PPs and Community planted forests (CPFs are inimitable types of participatory forest management practices in Nepal, but their eligibility issues under the framework of clean development mechanism (CDM and reducing emission from the deforestation and forest degradation mechanism (REDD+ are not evaluated. So, to explore the management system of PP and CPF, we compared forest carbon stocks in plantations and evaluated these plantations under these mechanisms as objectives of this research. The relevant documents were revised and altogether 55 samples were collected from Shreepur, Banauta and Bisbity PPs and Sita, Ramnagar and Jogikuti CPFs, in Mahottary district, Nepal. The equation of Chave et al was used to calculate the biomass, which was further converted into carbon. Meanwhile, management practices were evaluated under the framework of CDM and REDD+. The PPs are public land managed, especially by disadvantaged communities, while CPFs are the patches of national forest managed by users. The variation in carbon stock was found to be highest (148.89 ton ha-1 in Sita CPF and lowest (30.34 ton ha-1 in Bisbitty PP. In fact, it is difficult to certify plantations under CDM, due to its complexity, but they can easily be candidate to the REDD+ mechanism, if they are bundled with large forest blocks.

FAO -voluntary guidelines on national forest monitoring and its possible effect on measuring, reporting and verification for REDD+

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Carla Ramirez-Zea

2017-09-01

Full Text Available During the 23rd session of the FAO-Committee on Forestry (COFO 23 held in July 2016, the voluntary guidelines on national forest monitoring were approved. These guidelines were generated to support FAO member countries on the starting-up and the implementation of their national forest monitoring systems (NFMS. Under the United Nations Framework Convention on Climate Change (UNFCCC, the decision 1/CP.16 encouraged to developing country Parties to undertake actions for REDD+, and requested, inter alia: i to develop a forest reference emission level and/of forest reference level (FREL/REL as a baseline for the emission reductions report, and ii a transparent and robust NFMS. This paper examines the technical assessments from UNFCCC of the FREL/REL submitted by six countries in relation to technical needs for the NFMS setting up. The analysis suggests the need to improve the procurement of ground-base data, to comply the quality of the estimations on forest emission changes, to complete the carbon stocks estimations, and to estimate the associated uncertainties. The strategic and technical planning of the NFMS is also needed, to be able to reach the acceptable preparation level for measuring, reporting and verification system of REDD+, and the FAO voluntary guidelines are a helpful tool for the step-wise approach development.

Deforestation and the Paris climate agreement: An assessment of REDD + in the national climate action plans

NARCIS (Netherlands)

Hein, Jonas; Guarin, Alejandro; Frommé, Ezra; Pauw, W.P.

2018-01-01

More than ten years after REDD + (Reducing Emissions from Deforestation and forest Degradation) entered the UN climate negotiations, its current state and future direction are a matter of contention. This paper analyses 162 INDCs (Intended National Determined Contributions), or climate action plans,

Mapping Biomass for REDD in the Largest Forest of Central Africa: the Democratic Republic of Congo

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Shapiro, Aurelie; Saatchi, Sassan

2014-05-01

With the support of the International Climate Initiative (ICI) of the Federal Ministry of the Environment, Conservation, and Nuclear Security, the implementation of the German Development Bank KfW, the World Wide Fund for Nature (WWF) Germany, the University of California Los Angeles (UCLA) and local DRC partners will produce a national scale biomass map for the entire forest coverage of the Democratic Republic of Congo (DRC) along with feasibility assessments of different forest protection measures within a framework of a REDD+ model project. The « Carbon Map and Model (CO2M&M) » project will produce a national forest biomass map for the DRC, which will enable quantitative assessments of carbon stocks and emissions in the largest forest of the Congo Basin. This effort will support the national REDD (Reducing Emissions from Deforestation and Degradation) program in DRC, which plays a major role in sustainable development and poverty alleviation. This map will be developed from field data, complemented by airborne LiDAR (Light Detection and Ranging) and aerial photos, systematically sampled throughout the forests of the DRC and up-scaled to satellite images to accurately estimate carbon content in all forested areas. The second component of the project is to develop specific approaches for model REDD projects in key landscapes. This project represents the largest LiDAR-derived mapping effort in Africa, under unprecedented logistical constraints, which will provide one of the poorest nations in the world with the richest airborne and satellites derived datasets for analyzing forest structure, biomass and biodiversity.

Breast Cancer Symptom Clusters Derived from Social Media and Research Study Data Using Improved K-Medoid Clustering

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Ping, Qing; Yang, Christopher C.; Marshall, Sarah A.; Avis, Nancy E.; Ip, Edward H.

2017-01-01

Most cancer patients, including patients with breast cancer, experience multiple symptoms simultaneously while receiving active treatment. Some symptoms tend to occur together and may be related, such as hot flashes and night sweats. Co-occurring symptoms may have a multiplicative effect on patients’ functioning, mental health, and quality of life. Symptom clusters in the context of oncology were originally described as groups of three or more related symptoms. Some authors have suggested symptom clusters may have practical applications, such as the formulation of more effective therapeutic interventions that address the combined effects of symptoms rather than treating each symptom separately. Most studies that have sought to identify clusters in breast cancer survivors have relied on traditional research studies. Social media, such as online health-related forums, contain a bevy of user-generated content in the form of threads and posts, and could be used as a data source to identify and characterize symptom clusters among cancer patients. The present study seeks to determine patterns of symptom clusters in breast cancer survivors derived from both social media and research study data using improved K-Medoid clustering. A total of 50,426 publicly available messages were collected from Medhelp.com and 653 questionnaires were collected as part of a research study. The network of symptoms built from social media was sparse compared to that of the research study data, making the social media data easier to partition. The proposed revised K-Medoid clustering helps to improve the clustering performance by re-assigning some of the negative-ASW (average silhouette width) symptoms to other clusters after initial K-Medoid clustering. This retains an overall non-decreasing ASW and avoids the problem of trapping in local optima. The overall ASW, individual ASW, and improved interpretation of the final clustering solution suggest improvement. The clustering results suggest

Breast Cancer Symptom Clusters Derived from Social Media and Research Study Data Using Improved K-Medoid Clustering.

Science.gov (United States)

Ping, Qing; Yang, Christopher C; Marshall, Sarah A; Avis, Nancy E; Ip, Edward H

2016-06-01

Most cancer patients, including patients with breast cancer, experience multiple symptoms simultaneously while receiving active treatment. Some symptoms tend to occur together and may be related, such as hot flashes and night sweats. Co-occurring symptoms may have a multiplicative effect on patients' functioning, mental health, and quality of life. Symptom clusters in the context of oncology were originally described as groups of three or more related symptoms. Some authors have suggested symptom clusters may have practical applications, such as the formulation of more effective therapeutic interventions that address the combined effects of symptoms rather than treating each symptom separately. Most studies that have sought to identify clusters in breast cancer survivors have relied on traditional research studies. Social media, such as online health-related forums, contain a bevy of user-generated content in the form of threads and posts, and could be used as a data source to identify and characterize symptom clusters among cancer patients. The present study seeks to determine patterns of symptom clusters in breast cancer survivors derived from both social media and research study data using improved K-Medoid clustering. A total of 50,426 publicly available messages were collected from Medhelp.com and 653 questionnaires were collected as part of a research study. The network of symptoms built from social media was sparse compared to that of the research study data, making the social media data easier to partition. The proposed revised K-Medoid clustering helps to improve the clustering performance by re-assigning some of the negative-ASW (average silhouette width) symptoms to other clusters after initial K-Medoid clustering. This retains an overall non-decreasing ASW and avoids the problem of trapping in local optima. The overall ASW, individual ASW, and improved interpretation of the final clustering solution suggest improvement. The clustering results suggest

Improved Ant Colony Clustering Algorithm and Its Performance Study

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Gao, Wei

2016-01-01

Clustering analysis is used in many disciplines and applications; it is an important tool that descriptively identifies homogeneous groups of objects based on attribute values. The ant colony clustering algorithm is a swarm-intelligent method used for clustering problems that is inspired by the behavior of ant colonies that cluster their corpses and sort their larvae. A new abstraction ant colony clustering algorithm using a data combination mechanism is proposed to improve the computational efficiency and accuracy of the ant colony clustering algorithm. The abstraction ant colony clustering algorithm is used to cluster benchmark problems, and its performance is compared with the ant colony clustering algorithm and other methods used in existing literature. Based on similar computational difficulties and complexities, the results show that the abstraction ant colony clustering algorithm produces results that are not only more accurate but also more efficiently determined than the ant colony clustering algorithm and the other methods. Thus, the abstraction ant colony clustering algorithm can be used for efficient multivariate data clustering. PMID:26839533

Extending REDD+ to mangroves and wetlands for small island states and a case study for the conservation of mangroves and inter-tidal mudflats in Singapore

OpenAIRE

LYE, Lin Heng; Dharmarajah, Vinayagan

2013-01-01

This paper briefly discusses the prospects of using coastal wetlands as REDD+ projects for small island states. The paper contends that the city-state of Singapore would do well to enhance existing laws to more specifically address the challenges and threats faced in conserving mangroves and inter-tidal mudflats, and support their conservation and rehabilitation, not just to facilitate the implementation of REDD+ projects but also to meet other goals like biodiversity conservation and climate...

Indigenous Peoples in UN REDD+ Negotiations: "Importing Power" and Lobbying for Rights through Discursive Interplay Management

Directory of Open Access Journals (Sweden)

Linda Wallbott

2014-03-01

Full Text Available In this article I analyze the strategies of indigenous peoples as norm entrepreneurs in UN climate negotiations. I set out a conceptual linkage between the emerging literature on institutional interaction and social constructivist agency. It is shown, against the background of a descriptive account of the development of REDD+ negotiations within the UNFCCC, that indigenous peoples have been able to influence the agenda by crafting their immaterial power resources through the transfer of knowledge resources and normative instances from distinct institutions. This strategy of "importing power" to the target institution, the UNFCCC, was accompanied by support of key individuals and favorable national governments. Furthermore, indigenous peoples' demand to have their rights considered in the REDD+ agreement resonated with more established frames of global environmental politics that focus on synergies, cost-effectiveness, and management approaches. However, further research is required to figure out argumentative dynamics within the indigenous community itself and to identify the conditions that determined the level of success of their advocacy strategies.

Motivation Matters: Lessons for REDD+ Participatory Measurement, Reporting and Verification from Three Decades of Child Health Participatory Monitoring in Indonesia.

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Ekowati, Dian; Hofstee, Carola; Praputra, Andhika Vega; Sheil, Douglas

2016-01-01

Participatory Measurement, Reporting and Verification (PMRV), in the context of reducing emissions from deforestation and forest degradation with its co-benefits (REDD+) requires sustained monitoring and reporting by community members. This requirement appears challenging and has yet to be achieved. Other successful, long established, community self-monitoring and reporting systems may provide valuable lessons. The Indonesian integrated village healthcare program (Posyandu) was initiated in the 1980s and still provides effective and successful participatory measurement and reporting of child health status across the diverse, and often remote, communities of Indonesia. Posyandu activities focus on the growth and development of children under the age of five by recording their height and weight and reporting these monthly to the Ministry of Health. Here we focus on the local Posyandu personnel (kaders) and their motivations and incentives for contributing. While Posyandu and REDD+ measurement and reporting activities differ, there are sufficient commonalities to draw useful lessons. We find that the Posyandu kaders are motivated by their interests in health care, by their belief that it benefits the community, and by encouragement by local leaders. Recognition from the community, status within the system, training opportunities, competition among communities, and small payments provide incentives to sustain participation. We examine these lessons in the context of REDD+.

Characteristics of the Remote Sensing Data Used in the Proposed Unfccc REDD+ Forest Reference Emission Levels (frels)

Science.gov (United States)

Johnson, B. A.; Scheyvens, H.; Samejima, H.; Onoda, M.

2016-06-01

Developing countries must submit forest reference emission levels (FRELs) to the UNFCCC to receive incentives for REDD+ activities (e.g. reducing emissions from deforestation/forest degradation, sustainable management of forests, forest carbon stock conservation/enhancement). These FRELs are generated based on historical CO2 emissions in the land use, land use change, and forestry sector, and are derived using remote sensing (RS) data and in-situ forest carbon measurements. Since the quality of the historical emissions estimates is affected by the quality and quantity of the RS data used, in this study we calculated five metrics (i-v below) to assess the quality and quantity of the data that has been used thus far. Countries could focus on improving on one or more of these metrics for the submission of future FRELs. Some of our main findings were: (i) the median percentage of each country mapped was 100%, (ii) the median historical timeframe for which RS data was used was 11.5 years, (iii) the median interval of forest map updates was 4.5 years, (iv) the median spatial resolution of the RS data was 30m, and (v) the median number of REDD+ activities that RS data was used for operational monitoring of was 1 (typically deforestation). Many new sources of RS data have become available in recent years, so complementary or alternative RS data sets for generating future FRELs can potentially be identified based on our findings; e.g. alternative RS data sets could be considered if they have similar or higher quality/quantity than the currently-used data sets.

Stakeholder Participation in REDD+ Readiness Activities for Three Collaborative Projects in Lao PDR

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Saykham Boutthavong

2017-04-01

Full Text Available A key challenge for reducing emission from deforestation and forest degradation (REDD in developing countries is to balance the power of various stakeholders in decision making. This study explores the forms of stakeholder participation in the implementation of three pilot projects in Laos, with a focus on who actually makes decisions on project activities. We found that stakeholder roles in making decisions were imbalanced. The central government and development partner organizations were the ones who actually fulfill the roles of decision-makers in most project activities. Although local communities were not the key stakeholders in decision making in most activities, their roles seem to have increased in the activities where participatory approaches were applied. Participation of the private sector, non-governmental organizations, academic and research institutes and mass organizations was limited. Opportunities to reach decision-makers regarding project activities came through service contract agreements. Our findings suggest that an understanding of who fulfills the key roles will support a decentralization of decision making by balancing power and redistributing the roles from dominant to weaker stakeholders. In addition, the private sector’s participation may enhance opportunities to harmonize their investments for supporting REDD+ development and reduce the negative impacts on the forests and the environment.

Estimating the opportunity costs of activities that cause degradation in tropical dry forest: Implications for REDD +

NARCIS (Netherlands)

Borrego, Armonia; Skutsch, Margaret

2014-01-01

The viability of national REDD + programs will depend in part on whether funds generated from sales of carbon credits are sufficient to cover the opportunity costs (OC) of forgone uses of the forest. We present the results of a study in which OC were estimated in dry tropical forest, in western

Exploring different forest definitions and their impact on developing REDD+ reference emission levels: A case study for Indonesia

NARCIS (Netherlands)

Romijn, J.E.; Ainembabazi, J.H.; Wijaya, A.; Herold, M.; Angelsen, A.; Verchot, L.; Murdiyarso, D.

2013-01-01

Developing countries participating in the mitigation mechanism of reducing emissions from deforestation and forest degradation and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks (REDD+), need to determine a national forest reference emission level

Execução de Projetos de REDD+ no Brasil Por Meio de Diferentes Modalidades de Financiamento

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Guilherme Piffer Salles

Full Text Available Resumo: No âmbito dos acordos globais sobre mudanças climáticas, o mecanismo para Redução de Emissões por Desmatamento e Degradação Florestal (REDD+ tem sido colocado como central para o incentivo econômico às medidas de mitigação envolvendo os ecossistemas florestais. O presente trabalho objetiva analisar as diferenças e as semelhanças dos projetos de REDD+ no Brasil sob distintas modalidades de financiamento, baseadas em fundos públicos ou no mercado de carbono. Utilizando testes de hipótese, dados são analisados, coletados em bases de dados de acesso público, para 18 variáveis de 89 projetos piloto, aprovados sob o mercado voluntário de carbono e sob o Fundo Amazônia. Verifica-se que os projetos sob cada modalidade de financiamento têm várias diferenças entre si, como as relativas a participantes, prazos, abrangência e práticas de Monitoramento, Relato e Verificação. Por outro lado, como aspecto semelhante, recorrem tanto aos pagamentos em dinheiro quanto aos incentivos não monetários, como fortalecimento institucional e provimento de infraestrutura. Isso explicita os esforços destes projetos em adaptar-se às complexidades do contexto florestal e à eficiência necessária para garantir resultados esperados do REDD+. Argumenta-se, assim, em favor da adoção de modalidades mistas de financiamento, capazes de incentivar simultaneamente projetos sob fundos públicos e sob mercados de carbono.

Harvested wood products and REDD+: looking beyond the forest border

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Tunggul Butarbutar

2016-05-01

Full Text Available Abstract Background The focus of REDD+ is sensu stricto on maintaining forest carbon stocks. We extend the scope of sustainable management of forest from forests to timber utilization, and study carbon offsets resulting from the utilization of harvested timber for bio energy or harvested wood products (HWPs. The emission budget of harvesting operations depends on the loss of standing biomass by timber extracted from the forest site and logging losses on the one side, and on the other on the wood end use and the utilization of processing residues. We develop two scenarios to quantify the magnitude of CO2 emissions by (1 energetic utilization, and (2 energetic and material utilization of harvested timber and compare the substitution effects for different fossil energy sources. Results The direct energetic use of harvested timber does not compensate for the losses of forest carbon stock. Logging residuals and displacement factors reflecting different wood use constitute by far the most important factor in potential emission reductions. Substitution effects resulting from energetic use of mill residuals and from HWPs have only a subordinated contribution to the total emissions as well as the type of fossil fuel utilized to quantify substitution effects. Material substitution effects associated with harvested wood products show a high potential to increase the climate change benefits. Conclusions The observation and perception of REDD+ should not be restricted to sustainable management and reduced impact logging practices in the forest domain but should be extended to the utilization of extracted timber. Substitution effects from material and energetic utilization of harvested timber result in considerable emission reductions, which can compensate for the loss of forest carbon, and eventually contribute to the overall climate change mitigation benefits from forestry sector.

Bosques y suelos en el contexto de redd+: entre gobierno y gobernanza en México

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Antoine Libert Amico

2016-01-01

Full Text Available El reciente énfasis en la reducción de emisiones por deforestación y degradación (REDD+ ha generado una reconfiguración de las formas de gestión ambiental en México. Mediante el uso de datos generados por los autores dentro de un proyecto de investigación sobre Gobernanza Multinivel y Gestión de Carbono a Nivel de Paisaje, del Centro para la Investigación Forestal Internacional (CIFOR, se muestran los retos que enfrentan nuevos arreglos de gobernanza en torno a bosques y suelos. Se marca la diferencia entre gobierno y gobernanza, buscando ilustrar la transición de uno al otro en el marco de los programas de acción temprana REDD+ y el potencial de innovación que el escenario actual de debates sobre cambio climático ha creado. Al final se invita a una reflexión sobre las posibles contribuciones de una gobernanza forestal democrática, legítima y transparente para la gestión de los suelos y de los desafíos ambientales.

Pro-poor benefit distribution in REDD+: who gets what and why does it matter?

Energy Technology Data Exchange (ETDEWEB)

Mohammed, Essam Yassin

2011-12-15

Ensuring the poor or the most vulnerable sections of society benefit from REDD+ is key mainly to build both national and international legitimacy, and foster successful delivery of conservation and social objectives. Equitable benefit sharing issues at a community or household level are overlooked in both academic and non-academic literature compared to distributional issues at international level. Therefore, this paper aims to look at some of the issues related to benefit distribution at village and household level. Some of the very important factors that are very likely to affect benefit distribution from REDD+ at a village level are: 1. whether payments for environmental services are made directly to households or to communities as a whole; and 2. whether payments are made in cash or in-kind. In addition the paper looks at the following design issues closely related to the above two questions: what should the provision of benefits be based on? Land size, actual emission reductions, or demography of the community to ensure that equitable design criteria are met; how to ensure that more vulnerable groups such as ethnic minorities, landless poor, women and children do not lose out? And what impact would the type of benefit transferred have on the wellbeing of the communities and local economy?.

Improved optical mass tracer for galaxy clusters calibrated using weak lensing measurements

Science.gov (United States)

Reyes, R.; Mandelbaum, R.; Hirata, C.; Bahcall, N.; Seljak, U.

2008-11-01

We develop an improved mass tracer for clusters of galaxies from optically observed parameters, and calibrate the mass relation using weak gravitational lensing measurements. We employ a sample of ~13000 optically selected clusters from the Sloan Digital Sky Survey (SDSS) maxBCG catalogue, with photometric redshifts in the range 0.1-0.3. The optical tracers we consider are cluster richness, cluster luminosity, luminosity of the brightest cluster galaxy (BCG) and combinations of these parameters. We measure the weak lensing signal around stacked clusters as a function of the various tracers, and use it to determine the tracer with the least amount of scatter. We further use the weak lensing data to calibrate the mass normalization. We find that the best mass estimator for massive clusters is a combination of cluster richness, N200, and the luminosity of the BCG, LBCG: , where is the observed mean BCG luminosity at a given richness. This improved mass tracer will enable the use of galaxy clusters as a more powerful tool for constraining cosmological parameters.

Improved Gravitation Field Algorithm and Its Application in Hierarchical Clustering

Science.gov (United States)

Zheng, Ming; Sun, Ying; Liu, Gui-xia; Zhou, You; Zhou, Chun-guang

2012-01-01

Background Gravitation field algorithm (GFA) is a new optimization algorithm which is based on an imitation of natural phenomena. GFA can do well both for searching global minimum and multi-minima in computational biology. But GFA needs to be improved for increasing efficiency, and modified for applying to some discrete data problems in system biology. Method An improved GFA called IGFA was proposed in this paper. Two parts were improved in IGFA. The first one is the rule of random division, which is a reasonable strategy and makes running time shorter. The other one is rotation factor, which can improve the accuracy of IGFA. And to apply IGFA to the hierarchical clustering, the initial part and the movement operator were modified. Results Two kinds of experiments were used to test IGFA. And IGFA was applied to hierarchical clustering. The global minimum experiment was used with IGFA, GFA, GA (genetic algorithm) and SA (simulated annealing). Multi-minima experiment was used with IGFA and GFA. The two experiments results were compared with each other and proved the efficiency of IGFA. IGFA is better than GFA both in accuracy and running time. For the hierarchical clustering, IGFA is used to optimize the smallest distance of genes pairs, and the results were compared with GA and SA, singular-linkage clustering, UPGMA. The efficiency of IGFA is proved. PMID:23173043

An improved K-means clustering algorithm in agricultural image segmentation

Science.gov (United States)

Cheng, Huifeng; Peng, Hui; Liu, Shanmei

Image segmentation is the first important step to image analysis and image processing. In this paper, according to color crops image characteristics, we firstly transform the color space of image from RGB to HIS, and then select proper initial clustering center and cluster number in application of mean-variance approach and rough set theory followed by clustering calculation in such a way as to automatically segment color component rapidly and extract target objects from background accurately, which provides a reliable basis for identification, analysis, follow-up calculation and process of crops images. Experimental results demonstrate that improved k-means clustering algorithm is able to reduce the computation amounts and enhance precision and accuracy of clustering.

Improved Density Based Spatial Clustering of Applications of Noise Clustering Algorithm for Knowledge Discovery in Spatial Data

Directory of Open Access Journals (Sweden)

Arvind Sharma

2016-01-01

Full Text Available There are many techniques available in the field of data mining and its subfield spatial data mining is to understand relationships between data objects. Data objects related with spatial features are called spatial databases. These relationships can be used for prediction and trend detection between spatial and nonspatial objects for social and scientific reasons. A huge data set may be collected from different sources as satellite images, X-rays, medical images, traffic cameras, and GIS system. To handle this large amount of data and set relationship between them in a certain manner with certain results is our primary purpose of this paper. This paper gives a complete process to understand how spatial data is different from other kinds of data sets and how it is refined to apply to get useful results and set trends to predict geographic information system and spatial data mining process. In this paper a new improved algorithm for clustering is designed because role of clustering is very indispensable in spatial data mining process. Clustering methods are useful in various fields of human life such as GIS (Geographic Information System, GPS (Global Positioning System, weather forecasting, air traffic controller, water treatment, area selection, cost estimation, planning of rural and urban areas, remote sensing, and VLSI designing. This paper presents study of various clustering methods and algorithms and an improved algorithm of DBSCAN as IDBSCAN (Improved Density Based Spatial Clustering of Application of Noise. The algorithm is designed by addition of some important attributes which are responsible for generation of better clusters from existing data sets in comparison of other methods.

Potential of Different Optical and SAR Data in Forest and Land Cover Classification to Support REDD+ MRV

Directory of Open Access Journals (Sweden)

Laura Sirro

2018-06-01

Full Text Available The applicability of optical and synthetic aperture radar (SAR data for land cover classification to support REDD+ (Reducing Emissions from Deforestation and Forest Degradation MRV (measuring, reporting and verification services was tested on a tropical to sub-tropical test site. The 100 km by 100 km test site was situated in the State of Chiapas in Mexico. Land cover classifications were computed using RapidEye and Landsat TM optical satellite images and ALOS PALSAR L-band and Envisat ASAR C-band images. Identical sample plot data from Kompsat-2 imagery of one-metre spatial resolution were used for the accuracy assessment. The overall accuracy for forest and non-forest classification varied between 95% for the RapidEye classification and 74% for the Envisat ASAR classification. For more detailed land cover classification, the accuracies varied between 89% and 70%, respectively. A combination of Landsat TM and ALOS PALSAR data sets provided only 1% improvement in the overall accuracy. The biases were small in most classifications, varying from practically zero for the Landsat TM based classification to a 7% overestimation of forest area in the Envisat ASAR classification. Considering the pros and cons of the data types, we recommend optical data of 10 m spatial resolution as the primary data source for REDD MRV purposes. The results with L-band SAR data were nearly as accurate as the optical data but considering the present maturity of the imaging systems and image analysis methods, the L-band SAR is recommended as a secondary data source. The C-band SAR clearly has poorer potential than the L-band but it is applicable in stratification for a statistical sampling when other image types are unavailable.

Improving the Eco-Efficiency of High Performance Computing Clusters Using EECluster

Directory of Open Access Journals (Sweden)

Alberto Cocaña-Fernández

2016-03-01

Full Text Available As data and supercomputing centres increase their performance to improve service quality and target more ambitious challenges every day, their carbon footprint also continues to grow, and has already reached the magnitude of the aviation industry. Also, high power consumptions are building up to a remarkable bottleneck for the expansion of these infrastructures in economic terms due to the unavailability of sufficient energy sources. A substantial part of the problem is caused by current energy consumptions of High Performance Computing (HPC clusters. To alleviate this situation, we present in this work EECluster, a tool that integrates with multiple open-source Resource Management Systems to significantly reduce the carbon footprint of clusters by improving their energy efficiency. EECluster implements a dynamic power management mechanism based on Computational Intelligence techniques by learning a set of rules through multi-criteria evolutionary algorithms. This approach enables cluster operators to find the optimal balance between a reduction in the cluster energy consumptions, service quality, and number of reconfigurations. Experimental studies using both synthetic and actual workloads from a real world cluster support the adoption of this tool to reduce the carbon footprint of HPC clusters.

Beyond Rewards and Punishments in the Brazilian  Amazon: Practical Implications of the REDD+  Discourse

Directory of Open Access Journals (Sweden)

Maria Fernanda Gebara

2017-03-01

Full Text Available Through different policies and measures reducing emissions from deforestation and degradation and enhancing conservation (REDD+ has grown into a way to induce behavior change of forest managers and landowners in tropical countries. We argue that debates around REDD+ in Brazil have typically highlighted rewards and punishments, obscuring other core interventions and strategies that are also critically important to reach the goal of reducing deforestation, supporting livelihoods, and promoting conservation (i.e., technology transfer and capacity building. We adopt Foucault’s concepts of governmentality and technologies of governance to provide a reading of the REDD+ discourse in Brazil and to offer an historical genealogy of the rewards and punishments approach. By analyzing practical elements from REDD+ implementation in the Brazilian Amazon, our research provides insights on the different dimensions in which smallholders react to rewards and punishments. In doing so, we add to the debate on governmentality, supplementing its focus on rationalities of governance with attention to the social practices in which such rationalities are embedded. Our research also suggests that the techniques of remuneration and coercion on which a rewards and punishments approach relies are only supporting limited behavioral changes on the ground, generating negative adaptations of deforestation practices, reducing positive feedbacks and, perhaps as importantly, producing only short‐term outcomes at the expense of positive longterm land use changes. Furthermore, the approach ignores local heterogeneities and the differences between the agents engaging in forest clearing in the Amazon. The practical elements of the REDD+ discourse in Brazil suggest the rewards and punishments approach profoundly limits our understanding of human behavior by reducing the complex and multi‐dimensional to a linear and rational simplicity. Such simplification leads to an

An improved K-means clustering method for cDNA microarray image segmentation.

Science.gov (United States)

Wang, T N; Li, T J; Shao, G F; Wu, S X

2015-07-14

Microarray technology is a powerful tool for human genetic research and other biomedical applications. Numerous improvements to the standard K-means algorithm have been carried out to complete the image segmentation step. However, most of the previous studies classify the image into two clusters. In this paper, we propose a novel K-means algorithm, which first classifies the image into three clusters, and then one of the three clusters is divided as the background region and the other two clusters, as the foreground region. The proposed method was evaluated on six different data sets. The analyses of accuracy, efficiency, expression values, special gene spots, and noise images demonstrate the effectiveness of our method in improving the segmentation quality.

Challenges of Opportunity Cost Analysis in Planning REDD+: A Honduran Case Study of Social and Cultural Values Associated with Indigenous Forest Uses

Directory of Open Access Journals (Sweden)

Spencer T. Plumb

2012-05-01

Full Text Available The REDD Programme is predicated on the assumption that developed countries will provide sufficient funds to offset opportunity costs associated with avoiding deforestation. The role of non-market values in indigenous land management may challenge the efficacy of compensation schemes targeted at meeting opportunity costs as calculated in traditional opportunity cost analysis (OCA. Furthermore it is unclear how these economic incentives might affect social and cultural values linked to land-use norms, livelihoods, and local governance. This study explores the economic, social and cultural values of forest uses for a Miskito community in the Rio Plátano Biosphere Reserve in Honduras. Data were collected using household surveys, farm visits, and community workshops. OCA indicates potential for successful REDD+ payment schemes; however it is an inadequate method to account for subsistence and cultural opportunity costs associated with avoided deforestation. Compensation to change land-use practices may undermine governance institutions necessary to address deforestation in the region. Our results indicate that small-scale agriculture and other forest-based subsistence activities are important cultural practices for maintaining Miskito identity and forest management institutions. Recommendations are offered for using OCA to develop REDD+ projects that recognize the linkages between social and cultural values and forest management by focusing on approaches that consider a full range of economic, social and cultural opportunity costs.

Physicochemical characteristics of the hyporheic zone affect redd site selection of chum and fall chinook salmon, Columbia River, 2001

International Nuclear Information System (INIS)

Geist, David R.

2001-01-01

Chum salmon (Oncorhynchus keta) may historically have been the most abundant species of Columbia River salmon, contributing as much as 50% of the total biomass of all salmon in the Pacific Ocean prior to the 1940's (Neave 1961). By the 1950's, however, run sizes to the Columbia River dropped dramatically and in 1999 the National Marine Fisheries Service (NMFS) listed Columbia River chum salmon as threatened under the Endangered Species Act (ESA; NMFS 1999). Habitat degradation, water diversions, harvest, and artificial propagation are the major human-induced factors that have contributed to the species decline (NMFS 1998). Columbia River chum salmon spawn exclusively in the lower river below Bonneville Dam, including an area near Ives Island. The Ives Island chum salmon are part of the Columbia River evolutionary significant unit (ESU) for this species, and are included in the ESA listing. In addition to chum salmon, fall chinook salmon (O. tshawytscha) also spawn at Ives Island. Spawning surveys conducted at Ives Island over the last several years show that chum and fall chinook salmon spawned in clusters in different locations (US Fish and Wildlife Service and Washington Department of Fish and Wildlife, unpublished data). The presence of redd clusters suggested that fish were selecting specific habitat features within the study area (Geist and Dauble 1998). Understanding the specific features of these spawning areas is needed to quantify the amount of habitat available to each species so that minimum flows can be set to protect fish and maintain high quality habitat

Etude Climat no. 35 'Delivering REDD+ incentives to local stakeholders: lessons from forest carbon frameworks in developed countries'

International Nuclear Information System (INIS)

Deheza, Mariana; Bellassen, Valentin

2012-01-01

Among the publications of CDC Climat Research, 'Climate Reports' offer in-depth analyses on a given subject. This issue addresses the following points: Reducing CO 2 emissions from forests was slow to get off the ground as a subject of international climate negotiations, but it has picked up considerable momentum since 2005. In particular, agreement has been reached on the urgency to set up a global REDD+ mechanism. The mechanism aims to provide developing countries with incentives to reduce emissions from deforestation and forest degradation and to increase forest carbon stocks through appropriate forestry practices or through planting. Agreement has also been reached that REDD+ incentives should be result-based and ultimately awarded at the national level. Nevertheless, local initiatives are a useful mean of tackling deforestation. However, when carbon incentives depend on national performance, linking them to local initiatives is a technical and financial challenge. Technically, the national accounting framework must be able to track emissions-reduction initiatives at the sub-national level (regional, local or project level). Financially, investors are likely to be scared away if their reward depends on deforestation occurring outside the area of their investment. Ultimately, the issue of transferring national incentives coming from supranational agreements to the local level can be reduced to a political decision on risk sharing between the State and private stakeholders. Industrialized countries have already faced this issue during the first commitment period under the Kyoto protocol and they have often found it difficult to develop satisfactory solutions. Two notable exceptions are New Zealand, which included its forest sector in its emissions trading scheme, and Australia, which is developing a 'Carbon Farming Initiative' for forestry and agricultural offsets. This study draws lessons from a comparison of the treatment of the Land Use, Land Use Change and

Making biodiversity-friendly cocoa pay: combining yield, certification, and REDD for shade management.

Science.gov (United States)

Waldron, A; Justicia, R; Smith, L E

2015-03-01

The twin United Nations' Millennium Development Goals of biodiversity preservation and poverty reduction both strongly depend on actions in the tropics. In particular, traditional agroforestry could be critical to both biological conservation and human livelihoods in human-altered rainforest areas. However, traditional agroforestry is rapidly disappearing, because the system itself is economically precarious, and because the forest trees that shade traditional crops are now perceived to be overly detrimental to agricultural yield. Here, we show a case where the commonly used agroforestry shade metric, canopy cover, would indeed suggest complete removal of shade trees to maximize yield, with strongly negative biodiversity and climate implications. However, a yield over 50% higher was achievable if approximately 100 shade trees per hectare were planted in a spatially organized fashion, a win-win for biodiversity and the smallholder. The higher yield option was detected by optimizing simultaneously for canopy cover, and a second shade metric, neighboring tree density, which was designed to better capture the yield value of ecological services flowing from forest trees. Nevertheless, even a 50% yield increase may prove insufficient to stop farmers converting away from traditional agroforestry. To further increase agroforestry rents, we apply our results to the design of a sustainable certification (eco-labelling) scheme for cocoa-based products in a biodiversity hotspot, and consider their implications for the use of the United Nations REDD (reducing emissions from deforestation and forest degradation) program in agroforestry systems. Combining yield boost, certification, and REDD has the potential to incentivize eco-friendly agroforestry and lift smallholders out of poverty, simultaneously.

Using SVD on Clusters to Improve Precision of Interdocument Similarity Measure

Directory of Open Access Journals (Sweden)

Wen Zhang

2016-01-01

Full Text Available Recently, LSI (Latent Semantic Indexing based on SVD (Singular Value Decomposition is proposed to overcome the problems of polysemy and homonym in traditional lexical matching. However, it is usually criticized as with low discriminative power for representing documents although it has been validated as with good representative quality. In this paper, SVD on clusters is proposed to improve the discriminative power of LSI. The contribution of this paper is three manifolds. Firstly, we make a survey of existing linear algebra methods for LSI, including both SVD based methods and non-SVD based methods. Secondly, we propose SVD on clusters for LSI and theoretically explain that dimension expansion of document vectors and dimension projection using SVD are the two manipulations involved in SVD on clusters. Moreover, we develop updating processes to fold in new documents and terms in a decomposed matrix by SVD on clusters. Thirdly, two corpora, a Chinese corpus and an English corpus, are used to evaluate the performances of the proposed methods. Experiments demonstrate that, to some extent, SVD on clusters can improve the precision of interdocument similarity measure in comparison with other SVD based LSI methods.

Predicting pan-tropical climate change induced forest stock gains and losses-implications for REDD

International Nuclear Information System (INIS)

Gumpenberger, Marlies; Vohland, Katrin; Heyder, Ursula; Poulter, Benjamin; Rammig, Anja; Popp, Alexander; Cramer, Wolfgang; Macey, Kirsten

2010-01-01

Deforestation is a major threat to tropical forests worldwide, contributing up to one-fifth of global carbon emissions into the atmosphere. Despite protection efforts, deforestation of tropical forests has continued in recent years. Providing incentives to reducing deforestation has been proposed in the United Nations Framework Convention on Climate Change (UNFCCC) Bali negotiations in 2007 to decelerate emissions from deforestation (REDD-reduced emissions from deforestation and forest degradation). A number of methodological issues such as ensuring permanence, establishing reference emissions levels that do not reward business-as-usual and having a measuring, reporting and verification system in place are essential elements in implementing successful REDD schemes. To assess the combined impacts of climate and land-use change on tropical forest carbon stocks in the 21st century, we use a dynamic global vegetation model (LPJ DGVM) driven by five different climate change projections under a given greenhouse gas emission scenario (SRES A2) and two contrasting land-use change scenarios. We find that even under a complete stop of deforestation after the period of the Kyoto Protocol (post-2012) some countries may continue to lose carbon stocks due to climate change. Especially at risk is tropical Latin America, although the presence and magnitude of the risk depends on the climate change scenario. By contrast, strong protection of forests could increase carbon uptake in many tropical countries, due to CO 2 fertilization effects, even under altered climate regimes.

IMPROVEMENT OF THE RICHNESS ESTIMATES OF maxBCG CLUSTERS

International Nuclear Information System (INIS)

Rozo, Eduardo; Rykoff, Eli S.; Koester, Benjamin P.; Hansen, Sarah; Becker, Matthew; Bleem, Lindsey; McKay, Timothy; Hao Jiangang; Evrard, August; Wechsler, Risa H.; Sheldon, Erin; Johnston, David; Annis, James; Scranton, Ryan

2009-01-01

Minimizing the scatter between cluster mass and accessible observables is an important goal for cluster cosmology. In this work, we introduce a new matched filter richness estimator, and test its performance using the maxBCG cluster catalog. Our new estimator significantly reduces the variance in the L X -richness relation, from σ lnLx 2 = (0.86±0.02) 2 to σ lnLx 2 = (0.69±0.02) 2 . Relative to the maxBCG richness estimate, it also removes the strong redshift dependence of the L X -richness scaling relations, and is significantly more robust to photometric and redshift errors. These improvements are largely due to the better treatment of galaxy color data. We also demonstrate the scatter in the L X -richness relation depends on the aperture used to estimate cluster richness, and introduce a novel approach for optimizing said aperture which can easily be generalized to other mass tracers.

Improving Tensor Based Recommenders with Clustering

DEFF Research Database (Denmark)

Leginus, Martin; Dolog, Peter; Zemaitis, Valdas

2012-01-01

Social tagging systems (STS) model three types of entities (i.e. tag-user-item) and relationships between them are encoded into a 3-order tensor. Latent relationships and patterns can be discovered by applying tensor factorization techniques like Higher Order Singular Value Decomposition (HOSVD),...... of the recommendations and execution time are improved and memory requirements are decreased. The clustering is motivated by the fact that many tags in a tag space are semantically similar thus the tags can be grouped. Finally, promising experimental results are presented...

Network-scale spatial and temporal variation in Chinook salmon (Oncorhynchus tshawytscha) redd distributions: patterns inferred from spatially continuous replicate surveys

Science.gov (United States)

Daniel J. Isaak; Russell F. Thurow

2006-01-01

Spatially continuous sampling designs, when temporally replicated, provide analytical flexibility and are unmatched in their ability to provide a dynamic system view. We have compiled such a data set by georeferencing the network-scale distribution of Chinook salmon (Oncorhynchus tshawytscha) redds across a large wilderness basin (7330 km2) in...

Livelihood Implications and Perceptions of Large Scale Investment in Natural Resources for Conservation and Carbon Sequestration : Empirical Evidence from REDD+ in Vietnam

NARCIS (Netherlands)

Bayrak, Mucahid Mustafa; Marafa, Lawal Mohammed

2017-01-01

The complex relationship between local development and current large scale investments in natural resources in the Global South for the purpose of conservation and carbon sequestration is not fully understood yet. The Reducing Emissions from Deforestation and Forest Degradation programme (REDD+) is

Análisis institucional del programa Socio Bosque: una iniciativa ecuatoriana de gobernanza forestal y sus interacciones con REDD+ / Institucional Analysis of the Socio Bosque Program: an Ecuadorian forest governance inciative and its interactions with REDD+

OpenAIRE

Podvin Pabón, Karen Johanna

2013-01-01

Esta investigación examina el Programa Socio Bosque, una iniciativa para la conservación de bosques implementada a nivel nacional en el Ecuador bajo el nuevo modelo de gobernaza forestal. Socio Bosque busca conservar bosques nativos, reducir la deforestación y mejorar las condicines de los participantes. Paralelamente, el Programa Nacional REDD+ (PNREDD+) está siendo desarrollado para contribuir a la mitigación del cambio climático y para fortalecer la gobernanza forestal. El PNREDD+ es una d...

A Link-Based Cluster Ensemble Approach For Improved Gene Expression Data Analysis

Directory of Open Access Journals (Sweden)

P.Balaji

2015-01-01

Full Text Available Abstract It is difficult from possibilities to select a most suitable effective way of clustering algorithm and its dataset for a defined set of gene expression data because we have a huge number of ways and huge number of gene expressions. At present many researchers are preferring to use hierarchical clustering in different forms this is no more totally optimal. Cluster ensemble research can solve this type of problem by automatically merging multiple data partitions from a wide range of different clusterings of any dimensions to improve both the quality and robustness of the clustering result. But we have many existing ensemble approaches using an association matrix to condense sample-cluster and co-occurrence statistics and relations within the ensemble are encapsulated only at raw level while the existing among clusters are totally discriminated. Finding these missing associations can greatly expand the capability of those ensemble methodologies for microarray data clustering. We propose general K-means cluster ensemble approach for the clustering of general categorical data into required number of partitions.

Responding to climate change and the global land crisis: REDD+, market transformation and low-emissions rural development.

Science.gov (United States)

Nepstad, Daniel C; Boyd, William; Stickler, Claudia M; Bezerra, Tathiana; Azevedo, Andrea A

2013-06-05

Climate change and rapidly escalating global demand for food, fuel, fibre and feed present seemingly contradictory challenges to humanity. Can greenhouse gas (GHG) emissions from land-use, more than one-fourth of the global total, decline as growth in land-based production accelerates? This review examines the status of two major international initiatives that are designed to address different aspects of this challenge. REDD+ is an emerging policy framework for providing incentives to tropical nations and states that reduce their GHG emissions from deforestation and forest degradation. Market transformation, best represented by agricultural commodity roundtables, seeks to exclude unsustainable farmers from commodity markets through international social and environmental standards for farmers and processors. These global initiatives could potentially become synergistically integrated through (i) a shared approach for measuring and favouring high environmental and social performance of land use across entire jurisdictions and (ii) stronger links with the domestic policies, finance and laws in the jurisdictions where agricultural expansion is moving into forests. To achieve scale, the principles of REDD+ and sustainable farming systems must be embedded in domestic low-emission rural development models capable of garnering support across multiple constituencies. We illustrate this potential with the case of Mato Grosso State in the Brazilian Amazon.

Random matrix improved subspace clustering

KAUST Repository

Couillet, Romain

2017-03-06

This article introduces a spectral method for statistical subspace clustering. The method is built upon standard kernel spectral clustering techniques, however carefully tuned by theoretical understanding arising from random matrix findings. We show in particular that our method provides high clustering performance while standard kernel choices provably fail. An application to user grouping based on vector channel observations in the context of massive MIMO wireless communication networks is provided.

A CASE STUDY OF A FOREST CARBON STOCK MONITORING SYSTEM FOR REDD+ IN LAO P.D.R.

OpenAIRE

M. Nasu; T. Sano; K. Oono; Y. Wada; R. Nakada; T. Yamase; S. Tomimura; T. Furuya; G. Matteo; C. Kamusoko; Y. Gomi; T. Isobe; A. Iwata; H. Moriike; S. Hironaga

2012-01-01

Various technical studies for building forest monitoring system for MRV system of REDD+ has been implemented utilizing satellite remote sensing technology and ground survey upon configuring two pilot study areas, at whole Louangphabang (LPB) province (approximately 20,000 km2) and in Bolikhmxai(BLK) province (approximately 4,400 km2) in Lao PDR. Multi-temporal land use/cover data were prepared for making analyses of deforestation and forest degradation caused by various driving facto...

Clustering and training set selection methods for improving the accuracy of quantitative laser induced breakdown spectroscopy

International Nuclear Information System (INIS)

Anderson, Ryan B.; Bell, James F.; Wiens, Roger C.; Morris, Richard V.; Clegg, Samuel M.

2012-01-01

We investigated five clustering and training set selection methods to improve the accuracy of quantitative chemical analysis of geologic samples by laser induced breakdown spectroscopy (LIBS) using partial least squares (PLS) regression. The LIBS spectra were previously acquired for 195 rock slabs and 31 pressed powder geostandards under 7 Torr CO 2 at a stand-off distance of 7 m at 17 mJ per pulse to simulate the operational conditions of the ChemCam LIBS instrument on the Mars Science Laboratory Curiosity rover. The clustering and training set selection methods, which do not require prior knowledge of the chemical composition of the test-set samples, are based on grouping similar spectra and selecting appropriate training spectra for the partial least squares (PLS2) model. These methods were: (1) hierarchical clustering of the full set of training spectra and selection of a subset for use in training; (2) k-means clustering of all spectra and generation of PLS2 models based on the training samples within each cluster; (3) iterative use of PLS2 to predict sample composition and k-means clustering of the predicted compositions to subdivide the groups of spectra; (4) soft independent modeling of class analogy (SIMCA) classification of spectra, and generation of PLS2 models based on the training samples within each class; (5) use of Bayesian information criteria (BIC) to determine an optimal number of clusters and generation of PLS2 models based on the training samples within each cluster. The iterative method and the k-means method using 5 clusters showed the best performance, improving the absolute quadrature root mean squared error (RMSE) by ∼ 3 wt.%. The statistical significance of these improvements was ∼ 85%. Our results show that although clustering methods can modestly improve results, a large and diverse training set is the most reliable way to improve the accuracy of quantitative LIBS. In particular, additional sulfate standards and specifically

Random matrix improved subspace clustering

KAUST Repository

Couillet, Romain; Kammoun, Abla

2017-01-01

This article introduces a spectral method for statistical subspace clustering. The method is built upon standard kernel spectral clustering techniques, however carefully tuned by theoretical understanding arising from random matrix findings. We show

RS Application for conducting change detection within the Sundarban Mangrove Forest, Bangladesh to meet REDD+ initiatives

Science.gov (United States)

Biswas, T.; Maus, P.; Megown, K.

2011-12-01

The U.S. Forest Service (USFS) provided technical support to the Resource Information Management System (RIMS) unit of the Forest Department (FD) of Bangladesh in developing a method to monitor changes within the Sundarbans Reserve Forest using remote sensing and GIS technology to meet the Reducing Emissions from Deforestation and Degradation (REDD+) initiatives within Bangladesh. It included comparing the simple image differencing method with the Z-score outlier change detection method to examine changes within the mangroves of Bangladesh. Landsat data from three time periods (1989, 1999, 2009) were used to quantify change within four canopy cover classes (High, Medium, Low, and Very Low) within Sundarbans. The Z-score change analysis and image differencing was done for all the 6 reflective bands obtained from Landsat and two spectral indices NDVI and NDMI, derived from these bands for each year. Our results indicated very subtle changes in the mangrove forest within the past twenty years and the Z-score analysis was found to be more useful in capturing these subtle changes than the simple image difference method. Percent change in Z-score of NDVI provided the most meaningful index of vegetation change. It was used to summarize change for the entire study area by pixel, by canopy cover classes and the management compartment during this analysis. Our analysis showed less than 5% overall change in area within the mangroves for the entire study period. Percent change in forest canopy cover reduced from 4% in 1989-99 to 2% by 1999-2009 indicating an increase in forest canopy cover. Percent change in NDVI Z-score of each pixel was used to compute the overall percent change in z-score within the entire study area, mean percent change within each canopy cover class and management compartments from 1989 to 1999 and from 1999 to 2009. The above analysis provided insight to the spatial distribution of percent change in NDVI between the study periods and helped in

Clustering and training set selection methods for improving the accuracy of quantitative laser induced breakdown spectroscopy

Energy Technology Data Exchange (ETDEWEB)

Anderson, Ryan B., E-mail: randerson@astro.cornell.edu [Cornell University Department of Astronomy, 406 Space Sciences Building, Ithaca, NY 14853 (United States); Bell, James F., E-mail: Jim.Bell@asu.edu [Arizona State University School of Earth and Space Exploration, Bldg.: INTDS-A, Room: 115B, Box 871404, Tempe, AZ 85287 (United States); Wiens, Roger C., E-mail: rwiens@lanl.gov [Los Alamos National Laboratory, P.O. Box 1663 MS J565, Los Alamos, NM 87545 (United States); Morris, Richard V., E-mail: richard.v.morris@nasa.gov [NASA Johnson Space Center, 2101 NASA Parkway, Houston, TX 77058 (United States); Clegg, Samuel M., E-mail: sclegg@lanl.gov [Los Alamos National Laboratory, P.O. Box 1663 MS J565, Los Alamos, NM 87545 (United States)

2012-04-15

We investigated five clustering and training set selection methods to improve the accuracy of quantitative chemical analysis of geologic samples by laser induced breakdown spectroscopy (LIBS) using partial least squares (PLS) regression. The LIBS spectra were previously acquired for 195 rock slabs and 31 pressed powder geostandards under 7 Torr CO{sub 2} at a stand-off distance of 7 m at 17 mJ per pulse to simulate the operational conditions of the ChemCam LIBS instrument on the Mars Science Laboratory Curiosity rover. The clustering and training set selection methods, which do not require prior knowledge of the chemical composition of the test-set samples, are based on grouping similar spectra and selecting appropriate training spectra for the partial least squares (PLS2) model. These methods were: (1) hierarchical clustering of the full set of training spectra and selection of a subset for use in training; (2) k-means clustering of all spectra and generation of PLS2 models based on the training samples within each cluster; (3) iterative use of PLS2 to predict sample composition and k-means clustering of the predicted compositions to subdivide the groups of spectra; (4) soft independent modeling of class analogy (SIMCA) classification of spectra, and generation of PLS2 models based on the training samples within each class; (5) use of Bayesian information criteria (BIC) to determine an optimal number of clusters and generation of PLS2 models based on the training samples within each cluster. The iterative method and the k-means method using 5 clusters showed the best performance, improving the absolute quadrature root mean squared error (RMSE) by {approx} 3 wt.%. The statistical significance of these improvements was {approx} 85%. Our results show that although clustering methods can modestly improve results, a large and diverse training set is the most reliable way to improve the accuracy of quantitative LIBS. In particular, additional sulfate standards and

Integrating the avoided deforestation in a new agreement on climate. Comments on the current debate related to the reduction of emissions induced by deforestation and forest degradation (REDD) in developing countries

International Nuclear Information System (INIS)

Wertz-Kanounnikoff, S.; Tubiana, L.

2007-01-01

The authors propose some reflections about the current debate related to the reduction of emissions induced by deforestation and forest degradation (REDD) in developing countries. The author comments the two possibilities about one of the issues in this debate: to decide whether this mechanism must be financed by means of mandatory markets or voluntary funds. She also comments the issue on the institutional framework: to integrate REDD implementation in the framework foreseen by Kyoto beyond 2012, or to integrate it in a distinct agreement or protocol. She discusses the variety of national specificities and expectations, and tries to identify perspectives

Getting REDD-y: conservation and climate change in Latin America.

Science.gov (United States)

Hall, Anthony

2011-01-01

Deforestation in Latin America, especially in the Amazon basin, is a major source of greenhouse gases such as carbon dioxide that contribute to global warming. Protected areas play a vital role in minimizing forest loss and in supplying key environmental services, including carbon sequestration and rainfall regulation, which mitigate the adverse impacts of climate change amid a rising tide of economic development in the region. The area of protected forest has expanded rapidly since 1980 to cover one-fifth of Latin America and more than two-fifths of Amazonia, a region whose rain forest captures some 40 percent of Latin America's carbon emissions. The reserve sector has traditionally suffered from severe underfunding, but the possibility of new resources being generated through financial compensation for "reduced emissions from deforestation and forest degradation" (REDD) or "avoided deforestation" under a new Kyoto protocol after 2012 could help strengthen the environmental and social roles of protected areas. However, a number of major implementation and governance challenges will need to be addressed.

Coupling hydrodynamic modeling and empirical measures of bed mobility to assess the risk of redd scour on a large regulated river

Science.gov (United States)

Christine L. May; Bonnie S. Pryor; Thomas E. Lisle; Margaret M. Lang

2009-01-01

n order to assess the risk of scour and fill of spawning redds during floods, an understanding of the relations among river discharge, bed mobility, and scour and fill depths in areas of the streambed heavily utilized by spawning salmon is needed. Our approach coupled numerical flow modeling and empirical data from the Trinity River, California, to quantify spatially...

The role of economic clusters in improving urban planning support

NARCIS (Netherlands)

Yang, Zhenshan|info:eu-repo/dai/nl/251865274

2010-01-01

Improving the mechanism of integrating economic and spatial developments is an important issue in urban policy analysis and design. As Economic Clusters (ECs) become an important organisation in contemporary urban development in both economic and spatial practices, the research addresses the

Proposed REDD+ project for the Sundarbans: Legal and institutional issues

Directory of Open Access Journals (Sweden)

Saiful Karim

2013-07-01

Full Text Available Sundarbans, a Ramsar and World Heritage site, is the largest single block of tidal halophytic mangrove forest in the world covering parts of Bangladesh and India. Natural mangroves were very common along the entire coast of Bangladesh. However, all other natural mangrove forests, including the Chakaria Sundarbans with 21,000 hectares of mangrove, have been cleared for shrimp cultivation. Against this backdrop, the Forest Department of Bangladesh has developed project design documents for a project called ‘Collaborative REDD+ Improved Forest Management (IFM Sundarbans Project’ (CRISP to save the only remaining natural mangrove forest of the country. This project, involving conservation of 412,000 ha of natural mangrove forests, is expected to generate, over a 30-year period, a total emissions reduction of about 6.4 million tons of CO2. However, the successful implementation of this project involves a number of critical legal and institutional issues. It may involve complex legal issues such as forest ownership, forest use rights, rights of local people and carbon rights. It may also involve institutional reforms. Ensuring good governance of the proposed project is very vital considering the failure of the Asian Development Bank (ADB funded and Bangladesh Forest Department managed ‘Sundarbans Biodiversity Conservation Project’. Considering this previous experience, this paper suggests that a comprehensive legal and institutional review and reform is needed for the successful implementation of the proposed CRISP project. This paper argues that without ensuring local people’s rights and their participation, no project can be successful in the Sundarbans. Moreover, corruption of local and international officials may be a serious hurdle in the successful implementation of the project.

Improving estimation of kinetic parameters in dynamic force spectroscopy using cluster analysis

Science.gov (United States)

Yen, Chi-Fu; Sivasankar, Sanjeevi

2018-03-01

Dynamic Force Spectroscopy (DFS) is a widely used technique to characterize the dissociation kinetics and interaction energy landscape of receptor-ligand complexes with single-molecule resolution. In an Atomic Force Microscope (AFM)-based DFS experiment, receptor-ligand complexes, sandwiched between an AFM tip and substrate, are ruptured at different stress rates by varying the speed at which the AFM-tip and substrate are pulled away from each other. The rupture events are grouped according to their pulling speeds, and the mean force and loading rate of each group are calculated. These data are subsequently fit to established models, and energy landscape parameters such as the intrinsic off-rate (koff) and the width of the potential energy barrier (xβ) are extracted. However, due to large uncertainties in determining mean forces and loading rates of the groups, errors in the estimated koff and xβ can be substantial. Here, we demonstrate that the accuracy of fitted parameters in a DFS experiment can be dramatically improved by sorting rupture events into groups using cluster analysis instead of sorting them according to their pulling speeds. We test different clustering algorithms including Gaussian mixture, logistic regression, and K-means clustering, under conditions that closely mimic DFS experiments. Using Monte Carlo simulations, we benchmark the performance of these clustering algorithms over a wide range of koff and xβ, under different levels of thermal noise, and as a function of both the number of unbinding events and the number of pulling speeds. Our results demonstrate that cluster analysis, particularly K-means clustering, is very effective in improving the accuracy of parameter estimation, particularly when the number of unbinding events are limited and not well separated into distinct groups. Cluster analysis is easy to implement, and our performance benchmarks serve as a guide in choosing an appropriate method for DFS data analysis.

REDD: DESAFIO E OPORTUNIDADE DE IMPLEMENTAÇÃO DE POLÍTICA PÚBLICA DE VALORIZAÇÃO DO CERRADO NO ESTADO DE GOIÁS

Directory of Open Access Journals (Sweden)

Juliana Ferreira Leite

2012-12-01

Full Text Available Este texto delineia as perspectivas e os desafios para uma aplicação de Pagamento por Serviços Ambientais (PSA no estado de Goiás, tendo como foco específico a implementação de um mecanismo que está em grande debate no momento no âmbito da Convenção do Clima: a Redução de Emissões por Desmatamento e Degradação Florestal (Reducing Emissions from Deforestation and Forest Degradation – REDD, em inglês. Numa abordagem qualitativa, utilizam-se fontes bibliográficas (secundárias para a discussão do objeto abordado, e conclui-se que, apesar dos desafios e das dificuldades técnicas e operacionais que ainda precisam ser enfrentados e superados, o REDD pode ser viável e eficaz como um mecanismo de redução compensada do desmatamento ede conservação do Cerrado no Estado de Goiás.

AN IMPROVED FUZZY CLUSTERING ALGORITHM FOR MICROARRAY IMAGE SPOTS SEGMENTATION

Directory of Open Access Journals (Sweden)

V.G. Biju

2015-11-01

Full Text Available An automatic cDNA microarray image processing using an improved fuzzy clustering algorithm is presented in this paper. The spot segmentation algorithm proposed uses the gridding technique developed by the authors earlier, for finding the co-ordinates of each spot in an image. Automatic cropping of spots from microarray image is done using these co-ordinates. The present paper proposes an improved fuzzy clustering algorithm Possibility fuzzy local information c means (PFLICM to segment the spot foreground (FG from background (BG. The PFLICM improves fuzzy local information c means (FLICM algorithm by incorporating typicality of a pixel along with gray level information and local spatial information. The performance of the algorithm is validated using a set of simulated cDNA microarray images added with different levels of AWGN noise. The strength of the algorithm is tested by computing the parameters such as the Segmentation matching factor (SMF, Probability of error (pe, Discrepancy distance (D and Normal mean square error (NMSE. SMF value obtained for PFLICM algorithm shows an improvement of 0.9 % and 0.7 % for high noise and low noise microarray images respectively compared to FLICM algorithm. The PFLICM algorithm is also applied on real microarray images and gene expression values are computed.

Splitting the Difference: A Proposal for Benefit Sharing in Reduced Emissions from Deforestation and Forest Degradation (REDD+

Directory of Open Access Journals (Sweden)

Arturo Balderas Torres

2012-03-01

Full Text Available The objective of REDD+ is to create incentives for the reduction of emissions from deforestation and forest degradation and for the increase of carbon stocks through the enhancement, conservation and sustainable management of forests in developing countries. As part of the international negotiations under the United Nations Framework Convention on Climate Change (UNFCCC, compensation would be estimated in relation to national performance but how these incentives will be channeled within countries has not been specified and there are concerns about how the benefits will be shared among different stakeholders. One central issue is that under the national approach good performance in one region can be offset by underperformance in other regions of the country thus preventing the generation of predictable local incentives. Other issues relate to the need to provide incentives to a wide range of stakeholders and to avoid perverse reactions. To address these and other issues we propose separating the accounting of reduced deforestation, reduced degradation and enhancement of forests. The local attribution of credits would be easier for carbon enhancement, and possibly reduced degradation, than for reduced deforestation, since carbon gains can, in principle, be measured locally in the first two cases, while estimating achievements in reduced deforestation requires a regional approach. This separation in attribution of rewards can help to create adequate incentives for the different stakeholders and overcome some of the problems associated with the design and implementation of national REDD+ programs.

Investigating the drivers of deforestation in Indonesia and their role in REDD+ policy

DEFF Research Database (Denmark)

De Rosa, Michele; Knudsen, Marie Trydeman; Hermansen, John Erik

GHG targets; with the Intended Nationally Determined Contributions countries are simply expected to set a non-binding target, including a no-action option. De facto, GHG cuts are highly controversial because strictly related to economic activity. Reducing deforestation remains the most feasible...... strategy to achieve a quick GHG reduction, obtaining also other non-carbon benefits. Yet, net deforestation is increasing in forest rich countries such as Indonesia and Brazil. Taking as a starting point the Indonesian experience with the REDD+ (Reducing Deforestation and Forest Degradation) program...... modelled in LCA with an arbitrary amortization time. A new challenge posed by emerging plantations is their flexibility to supply alternatively different markets, depending on the highest market prices (flex-crop). Land occupation by palm oil plantations in Indonesia increased by more than 400% in the last...

REDD and PINC: A new policy framework to fund tropical forests as global 'eco-utilities'

International Nuclear Information System (INIS)

Trivedi, M R; Mitchell, A W; Mardas, N; Parker, C; Watson, J E; Nobre, A D

2009-01-01

Tropical forests are 'eco-utilities' providing critical ecosystem services that underpin food, energy, water and climate security at local to global scales. Currently, these services are unrecognised and unrewarded in international policy and financial frameworks, causing forests to be worth more dead than alive. Much attention is currently focused on REDD (Reducing Emissions from Deforestation and forest Degradation) and A/R (Afforestation and Reforestation) as mitigation options. In this article we propose an additional mechanism - PINC (Proactive Investment in Natural Capital) - that recognises and rewards the value of ecosystem services provided by standing tropical forests, especially from a climate change adaptation perspective. Using Amazonian forests as a case study we show that PINC could improve the wellbeing of rural and forest-dependent populations, enabling them to cope with the impacts associated with climate change and deforestation. By investing pro-actively in areas where deforestation pressures are currently low, the long-term costs of mitigation and adaptation will be reduced. We suggest a number of ways in which funds could be raised through emerging financial mechanisms to provide positive incentives to maintain standing forests. To develop PINC, a new research and capacity-building agenda is needed that explores the interdependence between communities, the forest eco-utility and the wider economy.

REDD and PINC: A new policy framework to fund tropical forests as global 'eco-utilities'

Science.gov (United States)

Trivedi, M. R.; Mitchell, A. W.; Mardas, N.; Parker, C.; Watson, J. E.; Nobre, A. D.

2009-11-01

Tropical forests are 'eco-utilities' providing critical ecosystem services that underpin food, energy, water and climate security at local to global scales. Currently, these services are unrecognised and unrewarded in international policy and financial frameworks, causing forests to be worth more dead than alive. Much attention is currently focused on REDD (Reducing Emissions from Deforestation and forest Degradation) and A/R (Afforestation and Reforestation) as mitigation options. In this article we propose an additional mechanism - PINC (Proactive Investment in Natural Capital) - that recognises and rewards the value of ecosystem services provided by standing tropical forests, especially from a climate change adaptation perspective. Using Amazonian forests as a case study we show that PINC could improve the wellbeing of rural and forest-dependent populations, enabling them to cope with the impacts associated with climate change and deforestation. By investing pro-actively in areas where deforestation pressures are currently low, the long-term costs of mitigation and adaptation will be reduced. We suggest a number of ways in which funds could be raised through emerging financial mechanisms to provide positive incentives to maintain standing forests. To develop PINC, a new research and capacity-building agenda is needed that explores the interdependence between communities, the forest eco-utility and the wider economy.

Integrated Status and Effectiveness Monitoring Program - Entiat River Rotary Screw Traps,Snorkel Surveys, and Steelhead Redd Surveys, 2008.

Energy Technology Data Exchange (ETDEWEB)

Nelle, R.D.; Desgroseiller, Tom; Cotter, Michael (U.S. Fish and Wildlife Service)

2009-02-17

The USFWS Mid-Columbia River Fishery Resource Office (MCRFRO) operated two rotary screw traps on the Entiat River as part of the Integrated Status and Effectiveness Monitoring Program from March through November of 2008. Along with the smolt traps, juvenile emigrants were also captured at remote locations throughout the Entiat watershed and its major tributary, the Mad River. A total of 16,782 wild salmonids were PIT tagged during the study period. Of this, 3,961(23.6%) were wild Oncorhynchus mykiss, 6,987 (41.6%) were wild spring run O. tshawytscha, and 5,591 (33.3%) were identified as wild O. tshawytscha of unknown run. Rotary screw trap efficiencies averaged 40.3% at the upper (Rkm 11.0) trap and 7.8% for the lower (Rkm 2.0) trap. These efficiencies were pooled for emigrant O. tshawytscha and O. mykiss. The MCRFRO conducted effectiveness monitoring snorkel surveys at 24 sites during the winter period and 30 sites during the summer and fall periods of 2008 as part of the Integrated Status and Effectiveness Monitoring Program in the Entiat River. The 2008 steelhead spawning grounds surveys were conducted weekly in the main Entiat River from rkm 1.1 to 44.2. A total of 222 steelhead redds were identified over the period from February 28 to June 16 2008 with April being the peak spawning month. Approximately 80% of the steelhead redds were located downstream of the rkm 26.

Open-Source Sequence Clustering Methods Improve the State Of the Art.

Science.gov (United States)

Kopylova, Evguenia; Navas-Molina, Jose A; Mercier, Céline; Xu, Zhenjiang Zech; Mahé, Frédéric; He, Yan; Zhou, Hong-Wei; Rognes, Torbjørn; Caporaso, J Gregory; Knight, Rob

2016-01-01

Sequence clustering is a common early step in amplicon-based microbial community analysis, when raw sequencing reads are clustered into operational taxonomic units (OTUs) to reduce the run time of subsequent analysis steps. Here, we evaluated the performance of recently released state-of-the-art open-source clustering software products, namely, OTUCLUST, Swarm, SUMACLUST, and SortMeRNA, against current principal options (UCLUST and USEARCH) in QIIME, hierarchical clustering methods in mothur, and USEARCH's most recent clustering algorithm, UPARSE. All the latest open-source tools showed promising results, reporting up to 60% fewer spurious OTUs than UCLUST, indicating that the underlying clustering algorithm can vastly reduce the number of these derived OTUs. Furthermore, we observed that stringent quality filtering, such as is done in UPARSE, can cause a significant underestimation of species abundance and diversity, leading to incorrect biological results. Swarm, SUMACLUST, and SortMeRNA have been included in the QIIME 1.9.0 release. IMPORTANCE Massive collections of next-generation sequencing data call for fast, accurate, and easily accessible bioinformatics algorithms to perform sequence clustering. A comprehensive benchmark is presented, including open-source tools and the popular USEARCH suite. Simulated, mock, and environmental communities were used to analyze sensitivity, selectivity, species diversity (alpha and beta), and taxonomic composition. The results demonstrate that recent clustering algorithms can significantly improve accuracy and preserve estimated diversity without the application of aggressive filtering. Moreover, these tools are all open source, apply multiple levels of multithreading, and scale to the demands of modern next-generation sequencing data, which is essential for the analysis of massive multidisciplinary studies such as the Earth Microbiome Project (EMP) (J. A. Gilbert, J. K. Jansson, and R. Knight, BMC Biol 12:69, 2014, http

Improving the distinguishable cluster results: spin-component scaling

Science.gov (United States)

Kats, Daniel

2018-06-01

The spin-component scaling is employed in the energy evaluation to improve the distinguishable cluster approach. SCS-DCSD reaction energies reproduce reference values with a root-mean-squared deviation well below 1 kcal/mol, the interaction energies are three to five times more accurate than DCSD, and molecular systems with a large amount of static electron correlation are still described reasonably well. SCS-DCSD represents a pragmatic approach to achieve chemical accuracy with a simple method without triples, which can also be applied to multi-configurational molecular systems.

An improved energy aware distributed unequal clustering protocol for heterogeneous wireless sensor networks

Directory of Open Access Journals (Sweden)

Vrinda Gupta

2016-06-01

Full Text Available In this paper, an improved version of the energy aware distributed unequal clustering protocol (EADUC is projected. The EADUC protocol is commonly used for solving energy hole problem in multi-hop wireless sensor networks. In the EADUC, location of base station and residual energy are given importance as clustering parameters. Based on these parameters, different competition radii are assigned to nodes. Herein, a new approach has been proposed to improve the working of EADUC, by electing cluster heads considering number of nodes in the neighborhood in addition to the above two parameters. The inclusion of the neighborhood information for computation of the competition radii provides better balancing of energy in comparison with the existing approach. Furthermore, for the selection of next hop node, the relay metric is defined directly in terms of energy expense instead of only the distance information used in the EADUC and the data transmission phase has been extended in every round by performing the data collection number of times through use of major slots and mini-slots. The methodology used is of retaining the same clusters for a few rounds and is effective in reducing the clustering overhead. The performance of the proposed protocol has been evaluated under three different scenarios and compared with existing protocols through simulations. The results show that the proposed scheme outperforms the existing protocols in terms of network lifetime in all the scenarios.

Rod cluster having improved vane configuration

International Nuclear Information System (INIS)

Shockling, L.A.; Francis, T.A.

1989-01-01

This patent describes a pressurized water reactor vessel, the vessel defining a predetermined axial direction of the flow of coolant therewithin and having plural spider assemblies supporting, for vertical movement within the vessel, respective clusters of rods in spaced, parallel axial relationship, parallel to the predetermined axial direction of coolant flow, and a rod guide for each spider assembly and respective cluster of rods. The rod guide having horizontally oriented support plates therewithin, each plate having an interior opening for accommodating axial movement therethrough of the spider assembly and respective cluster of rods. The opening defining plural radially extending channels and corresponding parallel interior wall surfaces of the support plate

Integrated Status and Effectiveness Monitoring Program - Entiat River Rotary Screw Traps, Snorkel Surveys, and Steelhead Redd Surveys, 2008-2009.

Energy Technology Data Exchange (ETDEWEB)

Nelle, R.D.; Desgroseillier, Tom; Cotter, Michael [U.S. Fish and Wildlife Service

2009-04-14

The USFWS Mid-Columbia River Fishery Resource Office (MCRFRO) operated two rotary screw traps on the Entiat River as part of the Integrated Status and Effectiveness Monitoring Program from March through November of 2008. Along with the smolt traps, juvenile emigrants were also captured at remote locations throughout the Entiat watershed and its major tributary, the Mad River. A total of 16,782 wild salmonids were PIT tagged during the study period. Of this, 3,961(23.6%) were wild Oncorhynchus mykiss, 6,987 (41.6%) were wild spring run O. tshawytscha, and 5,591 (33.3%) were identified as wild O. tshawytscha of unknown run. Rotary screw trap efficiencies averaged 40.3% at the upper (Rkm 11.0) trap and 7.8% for the lower (Rkm 2.0) trap. These efficiencies were pooled for emigrant O. tshawytscha and O. mykiss. The MCRFRO conducted effectiveness monitoring snorkel surveys at 24 sites during the winter period and 30 sites during the summer and fall periods of 2008 as part of the Integrated Status and Effectiveness Monitoring Program in the Entiat River. The 2008 steelhead spawning grounds surveys were conducted weekly in the main Entiat River from rkm 1.1 to 44.2. A total of 222 steelhead redds were identified over the period from February 28 to June 16 2008 with April being the peak spawning month. Approximately 80% of the steelhead redds were located downstream of the rkm 26.

Clustering-based urbanisation to improve enterprise information systems agility

Science.gov (United States)

Imache, Rabah; Izza, Said; Ahmed-Nacer, Mohamed

2015-11-01

Enterprises are daily facing pressures to demonstrate their ability to adapt quickly to the unpredictable changes of their dynamic in terms of technology, social, legislative, competitiveness and globalisation. Thus, to ensure its place in this hard context, enterprise must always be agile and must ensure its sustainability by a continuous improvement of its information system (IS). Therefore, the agility of enterprise information systems (EISs) can be considered today as a primary objective of any enterprise. One way of achieving this objective is by the urbanisation of the EIS in the context of continuous improvement to make it a real asset servicing enterprise strategy. This paper investigates the benefits of EISs urbanisation based on clustering techniques as a driver for agility production and/or improvement to help managers and IT management departments to improve continuously the performance of the enterprise and make appropriate decisions in the scope of the enterprise objectives and strategy. This approach is applied to the urbanisation of a tour operator EIS.

Flume Experiments on the Influence of Salmon Spawning Density on Grain Stability and Bedload Transport in Gravel-bed Streams

Science.gov (United States)

Buxton, T. H.

2015-12-01

Salmon spawning in streams involves the female salmon digging a pit in the bed where she deposits eggs for fertilization before covering them with gravel excavated from the next pit upstream. Sequences of pit excavation and filling winnow fines, loosen sediment, and move bed material into a tailspill mound resembling the shape of a dune. Research suggests salmonid nests (redds) destabilize streambeds by reducing friction between loosened grains and converging flow that elevates shear stress on redd topography. However, bed stability may be enhanced by form drag from redds in clusters that lower shear stress on the granular bed, but this effect will vary with the proportion of the bed surface that is occupied by redds (P). I used simulated redds and water-worked ("unspawned") beds in a laboratory flume to evaluate these competing influences on grain stability and bedload transport rates with P=0.12, 0.34, and 0.41. Results indicate that competence (largest-grain) and reference transport rate estimates of critical conditions for particle entrainment inversely relate to P. Bedload transport increased as exponential functions of P and excess boundary shear stress. Therefore, redd form drag did not overcome the destabilizing effects of spawning. Instead, grain mobility and bedload transport increased with P because larger areas of the bed were composed of relatively loose, unstable grains and redd topography that experienced elevated shear stress. Consequently, the presence of redds in fish-bearing streams likely reduces the effects of sedimentation from landscape disturbance on stream habitats that salmon use for reproduction.

Bootstrap-Based Improvements for Inference with Clustered Errors

OpenAIRE

Doug Miller; A. Colin Cameron; Jonah B. Gelbach

2006-01-01

Microeconometrics researchers have increasingly realized the essential need to account for any within-group dependence in estimating standard errors of regression parameter estimates. The typical preferred solution is to calculate cluster-robust or sandwich standard errors that permit quite general heteroskedasticity and within-cluster error correlation, but presume that the number of clusters is large. In applications with few (5-30) clusters, standard asymptotic tests can over-reject consid...

Mixing Matrix Estimation of Underdetermined Blind Source Separation Based on Data Field and Improved FCM Clustering

Directory of Open Access Journals (Sweden)

Qiang Guo

2018-01-01

Full Text Available In modern electronic warfare, multiple input multiple output (MIMO radar has become an important tool for electronic reconnaissance and intelligence transmission because of its anti-stealth, high resolution, low intercept and anti-destruction characteristics. As a common MIMO radar signal, discrete frequency coding waveform (DFCW has a serious overlap of both time and frequency, so it cannot be directly used in the current radar signal separation problems. The existing fuzzy clustering algorithms have problems in initial value selection, low convergence rate and local extreme values which will lead to the low accuracy of the mixing matrix estimation. Consequently, a novel mixing matrix estimation algorithm based on data field and improved fuzzy C-means (FCM clustering is proposed. First of all, the sparsity and linear clustering characteristics of the time–frequency domain MIMO radar signals are enhanced by using the single-source principal value of complex angular detection. Secondly, the data field uses the potential energy information to analyze the particle distribution, thus design a new clustering number selection scheme. Then the particle swarm optimization algorithm is introduced to improve the iterative clustering process of FCM, and finally get the estimated value of the mixing matrix. The simulation results show that the proposed algorithm improves both the estimation accuracy and the robustness of the mixing matrix.

REDD and PINC: A new policy framework to fund tropical forests as global 'eco-utilities'

Energy Technology Data Exchange (ETDEWEB)

Trivedi, M R; Mitchell, A W; Mardas, N; Parker, C [Global Canopy Programme, John Krebs Field Station, Wytham, Oxford, OX2 8QJ (United Kingdom); Watson, J E [University of Queensland, Ecology Centre, Queensland 4072 (Australia); Nobre, A D, E-mail: m.trivedi@globalcanopy.or [Instituto Nacional de Pesquisas da Amazonia, INPA, Escritorio Regional do INPA, Sao Jose dos Campos, 12227-010 (Brazil)

2009-11-01

Tropical forests are 'eco-utilities' providing critical ecosystem services that underpin food, energy, water and climate security at local to global scales. Currently, these services are unrecognised and unrewarded in international policy and financial frameworks, causing forests to be worth more dead than alive. Much attention is currently focused on REDD (Reducing Emissions from Deforestation and forest Degradation) and A/R (Afforestation and Reforestation) as mitigation options. In this article we propose an additional mechanism - PINC (Proactive Investment in Natural Capital) - that recognises and rewards the value of ecosystem services provided by standing tropical forests, especially from a climate change adaptation perspective. Using Amazonian forests as a case study we show that PINC could improve the wellbeing of rural and forest-dependent populations, enabling them to cope with the impacts associated with climate change and deforestation. By investing pro-actively in areas where deforestation pressures are currently low, the long-term costs of mitigation and adaptation will be reduced. We suggest a number of ways in which funds could be raised through emerging financial mechanisms to provide positive incentives to maintain standing forests. To develop PINC, a new research and capacity-building agenda is needed that explores the interdependence between communities, the forest eco-utility and the wider economy.

Hybrid Tracking Algorithm Improvements and Cluster Analysis Methods.

Science.gov (United States)

1982-02-26

UPGMA ), and Ward’s method. Ling’s papers describe a (k,r) clustering method. Each of these methods have individual characteristics which make them...Reference 7), UPGMA is probably the most frequently used clustering strategy. UPGMA tries to group new points into an existing cluster by using an

Cluster management.

Science.gov (United States)

Katz, R

1992-11-01

Cluster management is a management model that fosters decentralization of management, develops leadership potential of staff, and creates ownership of unit-based goals. Unlike shared governance models, there is no formal structure created by committees and it is less threatening for managers. There are two parts to the cluster management model. One is the formation of cluster groups, consisting of all staff and facilitated by a cluster leader. The cluster groups function for communication and problem-solving. The second part of the cluster management model is the creation of task forces. These task forces are designed to work on short-term goals, usually in response to solving one of the unit's goals. Sometimes the task forces are used for quality improvement or system problems. Clusters are groups of not more than five or six staff members, facilitated by a cluster leader. A cluster is made up of individuals who work the same shift. For example, people with job titles who work days would be in a cluster. There would be registered nurses, licensed practical nurses, nursing assistants, and unit clerks in the cluster. The cluster leader is chosen by the manager based on certain criteria and is trained for this specialized role. The concept of cluster management, criteria for choosing leaders, training for leaders, using cluster groups to solve quality improvement issues, and the learning process necessary for manager support are described.

Extending REDD+ to mangroves and wetlands for small island states and a case study for the conservation of mangroves and inter-tidal mudflats in Singapore

Directory of Open Access Journals (Sweden)

Lin Heng LYE

2013-07-01

Full Text Available This paper briefly discusses the prospects of using coastal wetlands as REDD+ projects for small island states. The paper contends that the city-state of Singapore would do well to enhance existing laws to more specifically address the challenges and threats faced in conserving mangroves and inter-tidal mudflats, and support their conservation and rehabilitation, not just to facilitate the implementation of REDD+ projects but also to meet other goals like biodiversity conservation and climate change adaptation. The proposal is to expand Sungei Buloh to encompass the mudflats at Kranji which is home to the mangrove horseshoe crab (Carcinoscrorpius rotundicauda; aligned with inter-tidal and coastal management strategies advanced under the auspices of the Ramsar Convention, the Convention on Biological Diversity and the IUCN. However, there are considerable challenges in maintaining an intact eco-system in the face of rapid development, not only in Singapore itself but also in the neighbouring state of Johor, Malaysia. The paper examines the specific legal strategies that will be required to meet the various objectives of conservation in the context of Singapore's laws and the challenges posed by the development plans of both Singapore and Malaysia.

Shades of green and REDD: Local and global contestations over the value of forest versus plantation development on the Indonesian forest frontier

DEFF Research Database (Denmark)

Eilenberg, Michael

2015-01-01

In a time of increasing land enclosures sparked by large-scale environmental initiatives and agricultural expansion, this paper examines local and global contestations over the value of forest on an Indonesian forest frontier. Engaging with recent debates on carbon forestry, the paper problematis...... for the future successes of REDD+. The Kalimantan case highlights some of the dilemmas of carbon mitigation initiatives experienced in frontier regions throughout Southeast Asia, places that have become prime battlefronts of large-scale climate change initiatives and agrarian expansion....

Livelihoods and Land Uses in Environmental Policy Approaches: The Case of PES and REDD+ in the Lam Dong Province of Vietnam

Directory of Open Access Journals (Sweden)

Leif Tore Trædal

2017-02-01

Full Text Available This paper explores assumptions about the drivers of forest cover change in a Payments for Environmental Services (PES and Reduced Emissions from Deforestation and Degradation (REDD+ context in the Lam Dong Province in Vietnam. In policy discourses, deforestation is often linked to ‘poor’ and ‘ethnic minority’ households and their unsustainable practices such as the expansion of coffee production (and other agricultural activities into forest areas. This paper applies a livelihood framework to discuss the links between livelihoods and land use amongst small-scale farmers in two communities. The findings of the livelihood survey demonstrate no clear linkages between poverty levels and unsustainable practices. In fact, the poorest segments were found to deforest the least. The ways in which current PES and REDD+ approaches are designed, do not provide appropriate solutions to address the underlying dimensions of issues at stake. The paper criticizes one-dimensional perspectives of the drivers behind deforestation and forest degradation often found in public policies and discourses. We suggest more comprehensive analyses of underlying factors encompassing the entire coffee production and land use system in this region. Addressing issues of land tenure and the scarcity of productive lands, and generating viable off-farm income alternatives seem to be crucial. Sustainable approaches for reducing deforestation and degradation could be possible through engaging with multiple stakeholders, including the business-oriented households in control of the coffee trade and of land transactions.

A cluster-randomised quality improvement study to improve two inpatient stroke quality indicators.

Science.gov (United States)

Williams, Linda; Daggett, Virginia; Slaven, James E; Yu, Zhangsheng; Sager, Danielle; Myers, Jennifer; Plue, Laurie; Woodward-Hagg, Heather; Damush, Teresa M

2016-04-01

Quality indicator collection and feedback improves stroke care. We sought to determine whether quality improvement training plus indicator feedback was more effective than indicator feedback alone in improving inpatient stroke indicators. We conducted a cluster-randomised quality improvement trial, randomising hospitals to quality improvement training plus indicator feedback versus indicator feedback alone to improve deep vein thrombosis (DVT) prophylaxis and dysphagia screening. Intervention sites received collaborative-based quality improvement training, external facilitation and indicator feedback. Control sites received only indicator feedback. We compared indicators pre-implementation (pre-I) to active implementation (active-I) and post-implementation (post-I) periods. We constructed mixed-effect logistic models of the two indicators with a random intercept for hospital effect, adjusting for patient, time, intervention and hospital variables. Patients at intervention sites (1147 admissions), had similar race, gender and National Institutes of Health Stroke Scale scores to control sites (1017 admissions). DVT prophylaxis improved more in intervention sites during active-I period (ratio of ORs 4.90, pimproved similarly in both groups during active-I, but control sites improved more in post-I period (ratio of ORs 0.67, p=0.04). In logistic models, the intervention was independently positively associated with DVT performance during active-I period, and negatively associated with dysphagia performance post-I period. Quality improvement training was associated with early DVT improvement, but the effect was not sustained over time and was not seen with dysphagia screening. External quality improvement programmes may quickly boost performance but their effect may vary by indicator and may not sustain over time. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Implementation of client versus care-provider strategies to improve external cephalic version rates: a cluster randomized controlled trial

NARCIS (Netherlands)

Vlemmix, Floortje; Rosman, Ageeth N.; Rijnders, Marlies E.; Beuckens, Antje; Opmeer, Brent C.; Mol, Ben W. J.; Kok, Marjolein; Fleuren, Margot A. H.

2015-01-01

To determine the effectiveness of a client or care-provider strategy to improve the implementation of external cephalic version. Cluster randomized controlled trial. Twenty-five clusters; hospitals and their referring midwifery practices randomly selected in the Netherlands. Singleton breech

Implementation of client versus care-provider strategies to improve external cephalic version rates: a cluster randomized controlled trial

NARCIS (Netherlands)

Vlemmix, F.; Rosman, A.N.; Rijnders, M.E.; Beuckens, A.; Opmeer, B.C.; Mol, B.W.J.; Kok, M.; Fleuren, M.A.H.

2015-01-01

Onjective: To determine the effectiveness of a client or care-provider strategy to improve the implementation of external cephalic version. Design: Cluster randomized controlled trial.Setting: Twenty-five clusters; hospitals and their referring midwifery practices randomly selected in the

Scenarios in tropical forest degradation: carbon stock trajectories for REDD+

Directory of Open Access Journals (Sweden)

Rafael B. de Andrade

2017-03-01

Full Text Available Abstract Background Human-caused disturbance to tropical rainforests—such as logging and fire—causes substantial losses of carbon stocks. This is a critical issue to be addressed in the context of policy discussions to implement REDD+. This work reviews current scientific knowledge about the temporal dynamics of degradation-induced carbon emissions to describe common patterns of emissions from logging and fire across tropical forest regions. Using best available information, we: (i develop short-term emissions factors (per area for logging and fire degradation scenarios in tropical forests; and (ii describe the temporal pattern of degradation emissions and recovery trajectory post logging and fire disturbance. Results Average emissions from aboveground biomass were 19.9 MgC/ha for logging and 46.0 MgC/ha for fire disturbance, with an average period of study of 3.22 and 2.15 years post-disturbance, respectively. Longer-term studies of post-logging forest recovery suggest that biomass accumulates to pre-disturbance levels within a few decades. Very few studies exist on longer-term (>10 years effects of fire disturbance in tropical rainforests, and recovery patterns over time are unknown. Conclusions This review will aid in understanding whether degradation emissions are a substantial component of country-level emissions portfolios, or whether these emissions would be offset by forest recovery and regeneration.

Automatic video shot boundary detection using k-means clustering and improved adaptive dual threshold comparison

Science.gov (United States)

Sa, Qila; Wang, Zhihui

2018-03-01

At present, content-based video retrieval (CBVR) is the most mainstream video retrieval method, using the video features of its own to perform automatic identification and retrieval. This method involves a key technology, i.e. shot segmentation. In this paper, the method of automatic video shot boundary detection with K-means clustering and improved adaptive dual threshold comparison is proposed. First, extract the visual features of every frame and divide them into two categories using K-means clustering algorithm, namely, one with significant change and one with no significant change. Then, as to the classification results, utilize the improved adaptive dual threshold comparison method to determine the abrupt as well as gradual shot boundaries.Finally, achieve automatic video shot boundary detection system.

IMPLEMENTATION OF IMPROVED NETWORK LIFETIME TECHNIQUE FOR WSN USING CLUSTER HEAD ROTATION AND SIMULTANEOUS RECEPTION

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Arun Vasanaperumal

2015-11-01

Full Text Available There are number of potential applications of Wireless Sensor Networks (WSNs like wild habitat monitoring, forest fire detection, military surveillance etc. All these applications are constrained for power from a stand along battery power source. So it becomes of paramount importance to conserve the energy utilized from this power source. A lot of efforts have gone into this area recently and it remains as one of the hot research areas. In order to improve network lifetime and reduce average power consumption, this study proposes a novel cluster head selection algorithm. Clustering is the preferred architecture when the numbers of nodes are larger because it results in considerable power savings for large networks as compared to other ones like tree or star. Since majority of the applications generally involve more than 30 nodes, clustering has gained widespread importance and is most used network architecture. The optimum number of clusters is first selected based on the number of nodes in the network. When the network is in operation the cluster heads in a cluster are rotated periodically based on the proposed cluster head selection algorithm to increase the network lifetime. Throughout the network single-hop communication methodology is assumed. This work will serve as an encouragement for further advances in the low power techniques for implementing Wireless Sensor Networks (WSNs.

Projecting deforestation trends on Espiritu Santo island, Vanuatu, using a spatial modeling approach : a case study to develop a spatially explicit forest reference emission level for REDD+

OpenAIRE

Méndez Zeballos, Dorys

2015-01-01

As agreed under United Nations Framework Convention on Climate Change, activities reducing emissions from deforestation, forest degradation, sustainable management of forests, enhancement and conservation of forest carbon stocks (REDD+) provide financial incentives to countries mitigating climate change. Countries are requested to develop so-called national forest reference levels (FRLs) as a benchmark to measure performance of land-use policy adjustments. FRLs are constructed combining infor...

An additional k-means clustering step improves the biological features of WGCNA gene co-expression networks.

Science.gov (United States)

Botía, Juan A; Vandrovcova, Jana; Forabosco, Paola; Guelfi, Sebastian; D'Sa, Karishma; Hardy, John; Lewis, Cathryn M; Ryten, Mina; Weale, Michael E

2017-04-12

Weighted Gene Co-expression Network Analysis (WGCNA) is a widely used R software package for the generation of gene co-expression networks (GCN). WGCNA generates both a GCN and a derived partitioning of clusters of genes (modules). We propose k-means clustering as an additional processing step to conventional WGCNA, which we have implemented in the R package km2gcn (k-means to gene co-expression network, https://github.com/juanbot/km2gcn ). We assessed our method on networks created from UKBEC data (10 different human brain tissues), on networks created from GTEx data (42 human tissues, including 13 brain tissues), and on simulated networks derived from GTEx data. We observed substantially improved module properties, including: (1) few or zero misplaced genes; (2) increased counts of replicable clusters in alternate tissues (x3.1 on average); (3) improved enrichment of Gene Ontology terms (seen in 48/52 GCNs) (4) improved cell type enrichment signals (seen in 21/23 brain GCNs); and (5) more accurate partitions in simulated data according to a range of similarity indices. The results obtained from our investigations indicate that our k-means method, applied as an adjunct to standard WGCNA, results in better network partitions. These improved partitions enable more fruitful downstream analyses, as gene modules are more biologically meaningful.

Building local institutions for national conservation programs: lessons for developing Reducing Emissions from Deforestation and Forest Degradation (REDD+ programs

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Wain Collen

2016-06-01

Full Text Available For programs that aim to promote forest conservation and poverty alleviation, such as Reducing Emissions from Deforestation and Forest Degradation (REDD+, the participation of indigenous communities is essential to meet program goals. Using Ostrom's theory of collective action for common pool resource management, we evaluated the institutions governing indigenous participation in the Programa Socio Bosque incentive-based conservation program in Ecuador. We conducted structured interviews with 94 members in 4 communities to assess community institutions for 6 of Ostrom's principles, using 12 measures we developed for the principles. We found substantial variation between communities in terms of their institutional performance. The best-performing community performed well (>50% of interviewees reported successfully meeting the measure on 8 of the 12 measures. The weakest performed well on only 2 out of 12 measures. Overall, our results indicate that there is stronger performance for constitutional-level institutions, which determine who gets to make the rules, and some collective-choice institutions, which determine how local rules are made. We identified specific challenges with the day-to-day operational institutions that arise from participation in nation state-community conservation programs, such as restricted resource appropriation, monitoring and compliance, and conflict resolution. We found that top-down policy making has an important role to play in supporting communities to establish constitutional-level and some collective-choice institutions. However, developing operational institutions may take more time and depend on local families' day-to-day use of resources, and thus may require a more nuanced policy approach. As some countries and donors find a jurisdictional REDD+ approach increasingly attractive, complementing top-down policy measures with bottom-up institutional development could provide a stronger platform to achieve the

An Improved Information Value Model Based on Gray Clustering for Landslide Susceptibility Mapping

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Qianqian Ba

2017-01-01

Full Text Available Landslides, as geological hazards, cause significant casualties and economic losses. Therefore, it is necessary to identify areas prone to landslides for prevention work. This paper proposes an improved information value model based on gray clustering (IVM-GC for landslide susceptibility mapping. This method uses the information value derived from an information value model to achieve susceptibility classification and weight determination of landslide predisposing factors and, hence, obtain the landslide susceptibility of each study unit based on the clustering analysis. Using a landslide inventory of Chongqing, China, which contains 8435 landslides, three landslide susceptibility maps were generated based on the common information value model (IVM, an information value model improved by an analytic hierarchy process (IVM-AHP and our new improved model. Approximately 70% (5905 of the inventory landslides were used to generate the susceptibility maps, while the remaining 30% (2530 were used to validate the results. The training accuracies of the IVM, IVM-AHP and IVM-GC were 81.8%, 78.7% and 85.2%, respectively, and the prediction accuracies were 82.0%, 78.7% and 85.4%, respectively. The results demonstrate that all three methods perform well in evaluating landslide susceptibility. Among them, IVM-GC has the best performance.

redD and actII-ORF4, Pathway-Specific Regulatory Genes for Antibiotic Production in Streptomyces coelicolor A3(2), Are Transcribed In Vitro by an RNA Polymerase Holoenzyme Containing σhrdD

NARCIS (Netherlands)

Fujii, T.; Gramajo, H.C.; Takano, E.; Bibb, M.J.

1996-01-01

redD and actII-ORF4, regulatory genes required for synthesis of the antibiotics undecylprodigiosin and actinorhodin by Streptomyces coelicolor A3(2), were transcribed in vitro by an RNA polymerase holoenzyme containing σhrdD. Disruption of hrdD had no effect on antibiotic production, indicating that

[Automatic Sleep Stage Classification Based on an Improved K-means Clustering Algorithm].

Science.gov (United States)

Xiao, Shuyuan; Wang, Bei; Zhang, Jian; Zhang, Qunfeng; Zou, Junzhong

2016-10-01

Sleep stage scoring is a hotspot in the field of medicine and neuroscience.Visual inspection of sleep is laborious and the results may be subjective to different clinicians.Automatic sleep stage classification algorithm can be used to reduce the manual workload.However,there are still limitations when it encounters complicated and changeable clinical cases.The purpose of this paper is to develop an automatic sleep staging algorithm based on the characteristics of actual sleep data.In the proposed improved K-means clustering algorithm,points were selected as the initial centers by using a concept of density to avoid the randomness of the original K-means algorithm.Meanwhile,the cluster centers were updated according to the‘Three-Sigma Rule’during the iteration to abate the influence of the outliers.The proposed method was tested and analyzed on the overnight sleep data of the healthy persons and patients with sleep disorders after continuous positive airway pressure(CPAP)treatment.The automatic sleep stage classification results were compared with the visual inspection by qualified clinicians and the averaged accuracy reached 76%.With the analysis of morphological diversity of sleep data,it was proved that the proposed improved K-means algorithm was feasible and valid for clinical practice.

Variable selection based on clustering analysis for improvement of polyphenols prediction in green tea using synchronous fluorescence spectra

Science.gov (United States)

Shan, Jiajia; Wang, Xue; Zhou, Hao; Han, Shuqing; Riza, Dimas Firmanda Al; Kondo, Naoshi

2018-04-01

Synchronous fluorescence spectra, combined with multivariate analysis were used to predict flavonoids content in green tea rapidly and nondestructively. This paper presented a new and efficient spectral intervals selection method called clustering based partial least square (CL-PLS), which selected informative wavelengths by combining clustering concept and partial least square (PLS) methods to improve models’ performance by synchronous fluorescence spectra. The fluorescence spectra of tea samples were obtained and k-means and kohonen-self organizing map clustering algorithms were carried out to cluster full spectra into several clusters, and sub-PLS regression model was developed on each cluster. Finally, CL-PLS models consisting of gradually selected clusters were built. Correlation coefficient (R) was used to evaluate the effect on prediction performance of PLS models. In addition, variable influence on projection partial least square (VIP-PLS), selectivity ratio partial least square (SR-PLS), interval partial least square (iPLS) models and full spectra PLS model were investigated and the results were compared. The results showed that CL-PLS presented the best result for flavonoids prediction using synchronous fluorescence spectra.

Redd site selection and spawning habitat use by fall chinook salmon: The importance of geomorphic features in large rivers

International Nuclear Information System (INIS)

Geist, D.R.; Oregon State Univ., Corvallis, OR; Dauble, D.D.

1998-01-01

Knowledge of the three-dimensional connectivity between rivers and groundwater within the hyporheic zone can be used to improve the definition of fall chinook salmon (Oncorhynchus tshawytscha) spawning habitat. Information exists on the microhabitat characteristics that define suitable salmon spawning habitat. However, traditional spawning habitat models that use these characteristics to predict available spawning habitat are restricted because they can not account for the heterogeneous nature of rivers. The authors present a conceptual spawning habitat model for fall chinook salmon that describes how geomorphic features of river channels create hydraulic processes, including hyporheic flows, that influence where salmon spawn in unconstrained reaches of large mainstem alluvial rivers. Two case studies based on empirical data from fall chinook salmon spawning areas in the Hanford Reach of the Columbia River are presented to illustrate important aspects of the conceptual model. The authors suggest that traditional habitat models and the conceptual model be combined to predict the limits of suitable fall chinook salmon spawning habitat. This approach can incorporate quantitative measures of river channel morphology, including general descriptors of geomorphic features at different spatial scales, in order to understand the processes influencing redd site selection and spawning habitat use. This information is needed in order to protect existing salmon spawning habitat in large rivers, as well as to recover habitat already lost

Improving cluster-based methods for investigating potential for insect pest species establishment: region-specific risk factors

Directory of Open Access Journals (Sweden)

Michael J. Watts

2011-09-01

Full Text Available Existing cluster-based methods for investigating insect species assemblages or profiles of a region to indicate the risk of new insect pest invasion have a major limitation in that they assign the same species risk factors to each region in a cluster. Clearly regions assigned to the same cluster have different degrees of similarity with respect to their species profile or assemblage. This study addresses this concern by applying weighting factors to the cluster elements used to calculate regional risk factors, thereby producing region-specific risk factors. Using a database of the global distribution of crop insect pest species, we found that we were able to produce highly differentiated region-specific risk factors for insect pests. We did this by weighting cluster elements by their Euclidean distance from the target region. Using this approach meant that risk weightings were derived that were more realistic, as they were specific to the pest profile or species assemblage of each region. This weighting method provides an improved tool for estimating the potential invasion risk posed by exotic species given that they have an opportunity to establish in a target region.

Performance improvement of haptic collision detection using subdivision surface and sphere clustering.

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A Ram Choi

Full Text Available Haptics applications such as surgery simulations require collision detections that are more precise than others. An efficient collision detection method based on the clustering of bounding spheres was proposed in our prior study. This paper analyzes and compares the applied effects of the five most common subdivision surface methods on some 3D models for haptic collision detection. The five methods are Butterfly, Catmull-Clark, Mid-point, Loop, and LS3 (Least Squares Subdivision Surface. After performing a number of experiments, we have concluded that LS3 method is the most appropriate for haptic simulations. The more we applied surface subdivision, the more the collision detection results became precise. However, it is observed that the performance becomes better until a certain threshold and degrades afterward. In order to reduce the performance degradation, we adopted our prior work, which was the fast and precise collision detection method based on adaptive clustering. As a result, we obtained a notable improvement of the speed of collision detection.

An optimal autonomous microgrid cluster based on distributed generation droop parameter optimization and renewable energy sources using an improved grey wolf optimizer

Science.gov (United States)

Moazami Goodarzi, Hamed; Kazemi, Mohammad Hosein

2018-05-01

Microgrid (MG) clustering is regarded as an important driver in improving the robustness of MGs. However, little research has been conducted on providing appropriate MG clustering. This article addresses this shortfall. It proposes a novel multi-objective optimization approach for finding optimal clustering of autonomous MGs by focusing on variables such as distributed generation (DG) droop parameters, the location and capacity of DG units, renewable energy sources, capacitors and powerline transmission. Power losses are minimized and voltage stability is improved while virtual cut-set lines with minimum power transmission for clustering MGs are obtained. A novel chaotic grey wolf optimizer (CGWO) algorithm is applied to solve the proposed multi-objective problem. The performance of the approach is evaluated by utilizing a 69-bus MG in several scenarios.

The Durban Auto Cluster

DEFF Research Database (Denmark)

Lorentzen, Jochen; Robbins, Glen; Barnes, Justin

2004-01-01

The paper describes the formation of the Durban Auto Cluster in the context of trade liberalization. It argues that the improvement of operational competitiveness of firms in the cluster is prominently due to joint action. It tests this proposition by comparing the gains from cluster activities...

Multi-Optimisation Consensus Clustering

Science.gov (United States)

Li, Jian; Swift, Stephen; Liu, Xiaohui

Ensemble Clustering has been developed to provide an alternative way of obtaining more stable and accurate clustering results. It aims to avoid the biases of individual clustering algorithms. However, it is still a challenge to develop an efficient and robust method for Ensemble Clustering. Based on an existing ensemble clustering method, Consensus Clustering (CC), this paper introduces an advanced Consensus Clustering algorithm called Multi-Optimisation Consensus Clustering (MOCC), which utilises an optimised Agreement Separation criterion and a Multi-Optimisation framework to improve the performance of CC. Fifteen different data sets are used for evaluating the performance of MOCC. The results reveal that MOCC can generate more accurate clustering results than the original CC algorithm.

Photo-z with CuBANz: An improved photometric redshift estimator using Clustering aided Back propagation Neural network

Science.gov (United States)

Samui, Saumyadip; Samui Pal, Shanoli

2017-02-01

We present an improved photometric redshift estimator code, CuBANz, that is publicly available at https://goo.gl/fpk90V. It uses the back propagation neural network along with clustering of the training set, which makes it more efficient than existing neural network codes. In CuBANz, the training set is divided into several self learning clusters with galaxies having similar photometric properties and spectroscopic redshifts within a given span. The clustering algorithm uses the color information (i.e. u - g , g - r etc.) rather than the apparent magnitudes at various photometric bands as the photometric redshift is more sensitive to the flux differences between different bands rather than the actual values. Separate neural networks are trained for each cluster using all possible colors, magnitudes and uncertainties in the measurements. For a galaxy with unknown redshift, we identify the closest possible clusters having similar photometric properties and use those clusters to get the photometric redshifts using the particular networks that were trained using those cluster members. For galaxies that do not match with any training cluster, the photometric redshifts are obtained from a separate network that uses entire training set. This clustering method enables us to determine the redshifts more accurately. SDSS Stripe 82 catalog has been used here for the demonstration of the code. For the clustered sources with redshift range zspec training/testing phase is as low as 0.03 compared to the existing ANNz code that provides residual error on the same test data set of 0.05. Further, we provide a much better estimate of the uncertainty of the derived photometric redshift.

Aging Reduces the Activation of the mTORC1 Pathway after Resistance Exercise and Protein Intake in Human Skeletal Muscle: Potential Role of REDD1 and Impaired Anabolic Sensitivity.

Science.gov (United States)

Francaux, Marc; Demeulder, Bénédicte; Naslain, Damien; Fortin, Raphael; Lutz, Olivier; Caty, Gilles; Deldicque, Louise

2016-01-15

This study was designed to better understand the molecular mechanisms involved in the anabolic resistance observed in elderly people. Nine young (22 ± 0.1 years) and 10 older (69 ± 1.7 years) volunteers performed a one-leg extension exercise consisting of 10 × 10 repetitions at 70% of their 3-RM, immediately after which they ingested 30 g of whey protein. Muscle biopsies were taken from the vastus lateralis at rest in the fasted state and 30 min after protein ingestion in the non-exercised (Pro) and exercised (Pro+ex) legs. Plasma insulin levels were determined at the same time points. No age difference was measured in fasting insulin levels but the older subjects had a 50% higher concentration than the young subjects in the fed state (p young subjects. After Pro+ex, REDD1 expression tended to be higher (p = 0.087) in the older group while AMPK phosphorylation was not modified by any condition. In conclusion, we show that the activation of the mTORC1 pathway is reduced in skeletal muscle of older subjects after resistance exercise and protein ingestion compared with young subjects, which could be partially due to an increased expression of REDD1 and an impaired anabolic sensitivity.

Merged consensus clustering to assess and improve class discovery with microarray data

Directory of Open Access Journals (Sweden)

Jarman Andrew P

2010-12-01

Full Text Available Abstract Background One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a large number of methods available to perform clustering, but it is often unclear which method is best suited to the data and how to quantify the quality of the classifications produced. Results Here we describe an R package containing methods to analyse the consistency of clustering results from any number of different clustering methods using resampling statistics. These methods allow the identification of the the best supported clusters and additionally rank cluster members by their fidelity within the cluster. These metrics allow us to compare the performance of different clustering algorithms under different experimental conditions and to select those that produce the most reliable clustering structures. We show the application of this method to simulated data, canonical gene expression experiments and our own novel analysis of genes involved in the specification of the peripheral nervous system in the fruitfly, Drosophila melanogaster. Conclusions Our package enables users to apply the merged consensus clustering methodology conveniently within the R programming environment, providing both analysis and graphical display functions for exploring clustering approaches. It extends the basic principle of consensus clustering by allowing the merging of results between different methods to provide an averaged clustering robustness. We show that this extension is useful in correcting for the tendency of clustering algorithms to treat outliers differently within datasets. The R package, clusterCons, is freely available at CRAN and sourceforge under the GNU public licence.

Landscape Transformation in Tropical Latin America: Assessing Trends and Policy Implications for REDD+

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Maria del Carmen Vera Diaz

2010-12-01

Full Text Available Important transformations are underway in tropical landscapes in Latin America with implications for economic development and climate change. Landscape transformation is driven not only by national policies and markets, but also by global market dynamics associated with an increased role for transnational traders and investors. National and global trends affect a disparate number of social, political and economic interactions taking place at the local level, which ultimately shapes land-use and socio-economic change. This paper reviews five different trajectories of landscape change in tropical Latin America, and discusses their implications for development and conservation: (1 Market-driven growth of agribusiness; (2 expansion and modernization of traditional cattle ranching; (3 slow growth of peasant agriculture; (4 logging in production forest frontiers; and (5 resurgence of agro-extractive economies. Contrasting trade-offs between economic development and forest conservation emerge across these landscapes, calling for nuanced policy responses to manage them in the context of climate change. This discussion sets the background to assess how reduction of emissions from deforestation and forest degradation and enhancing carbon stocks (REDD+ aims should be better aligned with current landscape trajectories and associated actors to better address climate-change mitigation in forest landscapes with effective and equitable outcomes.

Improved R2* liver iron concentration assessment using a novel fuzzy c-mean clustering scheme

International Nuclear Information System (INIS)

Saiviroonporn, Pairash; Viprakasit, Vip; Krittayaphong, Rungroj

2015-01-01

In thalassemia patients, R2* liver iron concentration (LIC) measurement is a common clinical tool for assessing iron overload and for determining necessary chelator dose and evaluating its efficacy. Despite the importance of accurate LIC measurement, existing methods suffer from LIC variability, especially at the severe iron overload range due to inclusion of vessel parts in LIC calculation. In this study, we build upon previous Fuzzy C-Mean (FCM) clustering work to formulate a scheme with superior performance in segmenting vessel pixels from the parenchyma. Our method (MIX-FCM) combines our novel 2D-FCM with the existing 1D-FCM algorithm. This study further assessed possible optimal clustering parameters (OP scheme) and proposed a semi-automatic (SA) scheme for routine clinical application. Segmentation of liver parenchyma and vessels was performed on T2* images and their LIC maps in 196 studies from 147 thalassemia major patients. We used manual segmentation as the reference. 1D-FCM clustering was performed on the acquired image alone and 2D-FCM used both the acquired image and its LIC data. To execute the MIX-FCM method, the best outcome (OP-MIX-FCM) was selected from the aforementioned methods and was compared to the SA-MIX-FCM scheme. We used the percent value of the normalized interquartile range (nIQR) to its median to evaluate the variability of all methods. 2D-FCM clustering is more effective than 1D-FCM clustering at the severe overload range only, but inferior for other ranges (where 1D-FCM provides suitable results). This complementary performance between the two methods allows MIX-FCM to improve results for all ranges. OP-MIX-FCM clustering error was 2.1 ± 2.3 %, compared with 10.3 ± 9.9 % and 7.0 ± 11.9 % from 1D- and 2D-FCM clustering, respectively. SA-MIX-FCM result was comparable to OP-MIX-FCM result, with both schemes showing ability to decrease overall nIQR by approximately 30 %. Our proposed 2D-FCM algorithm is not as superior to 1D-FCM as

Implementation of client versus care-provider strategies to improve external cephalic version rates: a cluster randomized controlled trial.

Science.gov (United States)

Vlemmix, Floortje; Rosman, Ageeth N; Rijnders, Marlies E; Beuckens, Antje; Opmeer, Brent C; Mol, Ben W J; Kok, Marjolein; Fleuren, Margot A H

2015-05-01

To determine the effectiveness of a client or care-provider strategy to improve the implementation of external cephalic version. Cluster randomized controlled trial. Twenty-five clusters; hospitals and their referring midwifery practices randomly selected in the Netherlands. Singleton breech presentation from 32 weeks of gestation onwards. We randomized clusters to a client strategy (written information leaflets and decision aid), a care-provider strategy (1-day counseling course focused on knowledge and counseling skills), a combined client and care-provider strategy and care-as-usual strategy. We performed an intention-to-treat analysis. Rate of external cephalic version in various strategies. Secondary outcomes were the percentage of women counseled and opting for a version attempt. The overall implementation rate of external cephalic version was 72% (1169 of 1613 eligible clients) with a range between clusters of 8-95%. Neither the client strategy (OR 0.8, 95% CI 0.4-1.5) nor the care-provider strategy (OR 1.2, 95% CI 0.6-2.3) showed significant improvements. Results were comparable when we limited the analysis to those women who were actually offered intervention (OR 0.6, 95% CI 0.3-1.4 and OR 2.0, 95% CI 0.7-4.5). Neither a client nor a care-provider strategy improved the external cephalic version implementation rate for breech presentation, neither with regard to the number of version attempts offered nor the number of women accepting the procedure. © 2015 Nordic Federation of Societies of Obstetrics and Gynecology.

Adapting Free, Prior, and Informed Consent (FPIC to Local Contexts in REDD+: Lessons from Three Experiments in Vietnam

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Thuy Thu Pham

2015-07-01

Full Text Available Free, prior, and informed consent (FPIC is a means of ensuring that people’s rights are respected when reducing emissions from deforestation and forest degradation, and enhancing forest carbon stocks (REDD+ projects are established in developing countries. This paper examines how FPIC has been applied in three projects in Vietnam and highlights two key lessons learnt. First, as human rights and democracy are seen as politically sensitive issues in Vietnam, FPIC is likely to be more accepted by the government if it is built upon the national legal framework on citizen rights. Applying FPIC in this context can ensure that both government and citizen’s interests are achieved within the permitted political space. Second, FPIC activities should be seen as a learning process and designed based on local needs and preferences, with accountability of facilitators, two-way and multiple communication strategies, flexibility, and collective action in mind.

OBSERVED SCALING RELATIONS FOR STRONG LENSING CLUSTERS: CONSEQUENCES FOR COSMOLOGY AND CLUSTER ASSEMBLY

International Nuclear Information System (INIS)

Comerford, Julia M.; Moustakas, Leonidas A.; Natarajan, Priyamvada

2010-01-01

Scaling relations of observed galaxy cluster properties are useful tools for constraining cosmological parameters as well as cluster formation histories. One of the key cosmological parameters, σ 8 , is constrained using observed clusters of galaxies, although current estimates of σ 8 from the scaling relations of dynamically relaxed galaxy clusters are limited by the large scatter in the observed cluster mass-temperature (M-T) relation. With a sample of eight strong lensing clusters at 0.3 8 , but combining the cluster concentration-mass relation with the M-T relation enables the inclusion of unrelaxed clusters as well. Thus, the resultant gains in the accuracy of σ 8 measurements from clusters are twofold: the errors on σ 8 are reduced and the cluster sample size is increased. Therefore, the statistics on σ 8 determination from clusters are greatly improved by the inclusion of unrelaxed clusters. Exploring cluster scaling relations further, we find that the correlation between brightest cluster galaxy (BCG) luminosity and cluster mass offers insight into the assembly histories of clusters. We find preliminary evidence for a steeper BCG luminosity-cluster mass relation for strong lensing clusters than the general cluster population, hinting that strong lensing clusters may have had more active merging histories.

Electricity Consumption Clustering Using Smart Meter Data

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Alexander Tureczek

2018-04-01

Full Text Available Electricity smart meter consumption data is enabling utilities to analyze consumption information at unprecedented granularity. Much focus has been directed towards consumption clustering for diversifying tariffs; through modern clustering methods, cluster analyses have been performed. However, the clusters developed exhibit a large variation with resulting shadow clusters, making it impossible to truly identify the individual clusters. Using clearly defined dwelling types, this paper will present methods to improve clustering by harvesting inherent structure from the smart meter data. This paper clusters domestic electricity consumption using smart meter data from the Danish city of Esbjerg. Methods from time series analysis and wavelets are applied to enable the K-Means clustering method to account for autocorrelation in data and thereby improve the clustering performance. The results show the importance of data knowledge and we identify sub-clusters of consumption within the dwelling types and enable K-Means to produce satisfactory clustering by accounting for a temporal component. Furthermore our study shows that careful preprocessing of the data to account for intrinsic structure enables better clustering performance by the K-Means method.

Semi-supervised consensus clustering for gene expression data analysis

OpenAIRE

Wang, Yunli; Pan, Youlian

2014-01-01

Background Simple clustering methods such as hierarchical clustering and k-means are widely used for gene expression data analysis; but they are unable to deal with noise and high dimensionality associated with the microarray gene expression data. Consensus clustering appears to improve the robustness and quality of clustering results. Incorporating prior knowledge in clustering process (semi-supervised clustering) has been shown to improve the consistency between the data partitioning and do...

IMPROVING SUBSTANTIVE AND PROCEDURAL PROTECTIONS ...

African Journals Online (AJOL)

farmers, cattle ranchers, and gold miners.16 In addition, their lands are con- tinuously ... in the creation of the 1988 Brazilian Constitution by helping to get indige- ... governments and the private sector will need to work together.32 Moreover, ..... increased economic value attached to forest lands enrolled in REDD+.140.

Shade tree diversity and aboveground carbon stocks in Theobroma cacao agroforestry systems: implications for REDD+ implementation in a West African cacao landscape.

Science.gov (United States)

Dawoe, Evans; Asante, Winston; Acheampong, Emmanuel; Bosu, Paul

2016-12-01

The promotion of cacao agroforestry is one of the ways of diversifying farmer income and creating incentives through their inclusion in REDD+ interventions. We estimated the aboveground carbon stocks in cacao and shade trees, determined the floristic diversity of shade trees and explored the possibility of implementing REDD+ interventions in cacao landscapes. Using replicated multi-site transect approach, data were collected from nine 1-ha plots established on 5 km long transects in ten cacao growing districts in Ghana West Africa. Biomass of cacao and shade trees was determined using allometric equations. One thousand four hundred and one (1401) shade trees comprising 109 species from 33 families were recorded. Total number of species ranged from 34 to 49. Newbouldia laevis (Bignoniacea) was the most frequently occurring specie and constituted 43.2 % of all shade trees. The most predominant families were Sterculiaceae and Moraceae (10 species each), followed by Meliaceae and Mimosaceae (8 species each) and Caesalpiniacaea (6 species). Shannon diversity indices (H', H max and J') and species richness were low compared to other similar studies. Shade tree densities ranged from 16.2 ± 3.0 to 22.8 ± 1.7 stems ha -1 and differed significantly between sites. Carbon stocks of shade trees differed between sites but were similar in cacao trees. The average C stock in cacao trees was 7.45 ± 0.41 Mg C ha -1 compared with 8.32 ± 1.15 Mg C ha -1 in the shade trees. Cacao landscapes in Ghana have the potential of contributing to forest carbon stocks enhancement by increasing the stocking density of shade trees to recommended levels.

Improving Recommendations in Tag-based Systems with Spectral Clustering of Tag Neighbors

DEFF Research Database (Denmark)

Pan, Rong; Xu, Guandong; Dolog, Peter

2012-01-01

Tag as a useful metadata reflects the collaborative and conceptual features of documents in social collaborative annotation systems. In this paper, we propose a collaborative approach for expanding tag neighbors and investigate the spectral clustering algorithm to filter out noisy tag neighbors...... in order to get appropriate recommendation for users. The preliminary experiments have been conducted on MovieLens dataset to compare our proposed approach with the traditional collaborative filtering recommendation approach and naive tag neighbors expansion approach in terms of precision, and the result...... demonstrates that our approach could considerably improve the performance of recommendations....

Stochastic coupled cluster theory: Efficient sampling of the coupled cluster expansion

Science.gov (United States)

Scott, Charles J. C.; Thom, Alex J. W.

2017-09-01

We consider the sampling of the coupled cluster expansion within stochastic coupled cluster theory. Observing the limitations of previous approaches due to the inherently non-linear behavior of a coupled cluster wavefunction representation, we propose new approaches based on an intuitive, well-defined condition for sampling weights and on sampling the expansion in cluster operators of different excitation levels. We term these modifications even and truncated selections, respectively. Utilising both approaches demonstrates dramatically improved calculation stability as well as reduced computational and memory costs. These modifications are particularly effective at higher truncation levels owing to the large number of terms within the cluster expansion that can be neglected, as demonstrated by the reduction of the number of terms to be sampled when truncating at triple excitations by 77% and hextuple excitations by 98%.

Improvement of economic potential estimation methods for enterprise with potential branch clusters use

Directory of Open Access Journals (Sweden)

V.Ya. Nusinov

2017-08-01

Full Text Available The research determines that the current existing methods of enterprise’s economic potential estimation are based on the use of additive, multiplicative and rating models. It is determined that the existing methods have a row of defects. For example, not all the methods take into account the branch features of the analysis, and also the level of development of the enterprise comparatively with other enterprises. It is suggested to level such defects by an account at the estimation of potential integral level not only by branch features of enterprises activity but also by the intra-account economic clusterization of such enterprises. Scientific works which are connected with the using of clusters for the estimation of economic potential are generalized. According to the results of generalization it is determined that it is possible to distinguish 9 scientific approaches in this direction: the use of natural clusterization of enterprises with the purpose of estimation and increase of region potential; the use of natural clusterization of enterprises with the purpose of estimation and increase of industry potential; use of artificial clusterization of enterprises with the purpose of estimation and increase of region potential; use of artificial clusterization of enterprises with the purpose of estimation and increase of industry potential; the use of artificial clusterization of enterprises with the purpose of clustering potential estimation; the use of artificial clusterization of enterprises with the purpose of estimation of clustering competitiveness potential; the use of natural (artificial clusterization for the estimation of clustering efficiency; the use of natural (artificial clusterization for the increase of level at region (industries development; the use of methods of economic potential of region (industries estimation or its constituents for the construction of the clusters. It is determined that the use of clusterization method in

Clustering of near clusters versus cluster compactness

International Nuclear Information System (INIS)

Yu Gao; Yipeng Jing

1989-01-01

The clustering properties of near Zwicky clusters are studied by using the two-point angular correlation function. The angular correlation functions for compact and medium compact clusters, for open clusters, and for all near Zwicky clusters are estimated. The results show much stronger clustering for compact and medium compact clusters than for open clusters, and that open clusters have nearly the same clustering strength as galaxies. A detailed study of the compactness-dependence of correlation function strength is worth investigating. (author)

Open source clustering software.

Science.gov (United States)

de Hoon, M J L; Imoto, S; Nolan, J; Miyano, S

2004-06-12

We have implemented k-means clustering, hierarchical clustering and self-organizing maps in a single multipurpose open-source library of C routines, callable from other C and C++ programs. Using this library, we have created an improved version of Michael Eisen's well-known Cluster program for Windows, Mac OS X and Linux/Unix. In addition, we generated a Python and a Perl interface to the C Clustering Library, thereby combining the flexibility of a scripting language with the speed of C. The C Clustering Library and the corresponding Python C extension module Pycluster were released under the Python License, while the Perl module Algorithm::Cluster was released under the Artistic License. The GUI code Cluster 3.0 for Windows, Macintosh and Linux/Unix, as well as the corresponding command-line program, were released under the same license as the original Cluster code. The complete source code is available at http://bonsai.ims.u-tokyo.ac.jp/mdehoon/software/cluster. Alternatively, Algorithm::Cluster can be downloaded from CPAN, while Pycluster is also available as part of the Biopython distribution.

Improving Spectral Image Classification through Band-Ratio Optimization and Pixel Clustering

Science.gov (United States)

O'Neill, M.; Burt, C.; McKenna, I.; Kimblin, C.

2017-12-01

The Underground Nuclear Explosion Signatures Experiment (UNESE) seeks to characterize non-prompt observables from underground nuclear explosions (UNE). As part of this effort, we evaluated the ability of DigitalGlobe's WorldView-3 (WV3) to detect and map UNE signatures. WV3 is the current state-of-the-art, commercial, multispectral imaging satellite; however, it has relatively limited spectral and spatial resolutions. These limitations impede image classifiers from detecting targets that are spatially small and lack distinct spectral features. In order to improve classification results, we developed custom algorithms to reduce false positive rates while increasing true positive rates via a band-ratio optimization and pixel clustering front-end. The clusters resulting from these algorithms were processed with standard spectral image classifiers such as Mixture-Tuned Matched Filter (MTMF) and Adaptive Coherence Estimator (ACE). WV3 and AVIRIS data of Cuprite, Nevada, were used as a validation data set. These data were processed with a standard classification approach using MTMF and ACE algorithms. They were also processed using the custom front-end prior to the standard approach. A comparison of the results shows that the custom front-end significantly increases the true positive rate and decreases the false positive rate.This work was done by National Security Technologies, LLC, under Contract No. DE-AC52-06NA25946 with the U.S. Department of Energy. DOE/NV/25946-3283.

Cluster-cluster clustering

International Nuclear Information System (INIS)

Barnes, J.; Dekel, A.; Efstathiou, G.; Frenk, C.S.; Yale Univ., New Haven, CT; California Univ., Santa Barbara; Cambridge Univ., England; Sussex Univ., Brighton, England)

1985-01-01

The cluster correlation function xi sub c(r) is compared with the particle correlation function, xi(r) in cosmological N-body simulations with a wide range of initial conditions. The experiments include scale-free initial conditions, pancake models with a coherence length in the initial density field, and hybrid models. Three N-body techniques and two cluster-finding algorithms are used. In scale-free models with white noise initial conditions, xi sub c and xi are essentially identical. In scale-free models with more power on large scales, it is found that the amplitude of xi sub c increases with cluster richness; in this case the clusters give a biased estimate of the particle correlations. In the pancake and hybrid models (with n = 0 or 1), xi sub c is steeper than xi, but the cluster correlation length exceeds that of the points by less than a factor of 2, independent of cluster richness. Thus the high amplitude of xi sub c found in studies of rich clusters of galaxies is inconsistent with white noise and pancake models and may indicate a primordial fluctuation spectrum with substantial power on large scales. 30 references

Factored Translation with Unsupervised Word Clusters

DEFF Research Database (Denmark)

Rishøj, Christian; Søgaard, Anders

2011-01-01

Unsupervised word clustering algorithms — which form word clusters based on a measure of distributional similarity — have proven to be useful in providing beneficial features for various natural language processing tasks involving supervised learning. This work explores the utility of such word...... clusters as factors in statistical machine translation. Although some of the language pairs in this work clearly benefit from the factor augmentation, there is no consistent improvement in translation accuracy across the board. For all language pairs, the word clusters clearly improve translation for some...... proportion of the sentences in the test set, but has a weak or even detrimental effect on the rest. It is shown that if one could determine whether or not to use a factor when translating a given sentence, rather substantial improvements in precision could be achieved for all of the language pairs evaluated...

Fuzzy Clustering

DEFF Research Database (Denmark)

Berks, G.; Keyserlingk, Diedrich Graf von; Jantzen, Jan

2000-01-01

A symptom is a condition indicating the presence of a disease, especially, when regarded as an aid in diagnosis.Symptoms are the smallest units indicating the existence of a disease. A syndrome on the other hand is an aggregate, set or cluster of concurrent symptoms which together indicate...... and clustering are the basic concerns in medicine. Classification depends on definitions of the classes and their required degree of participant of the elements in the cases' symptoms. In medicine imprecise conditions are the rule and therefore fuzzy methods are much more suitable than crisp ones. Fuzzy c......-mean clustering is an easy and well improved tool, which has been applied in many medical fields. We used c-mean fuzzy clustering after feature extraction from an aphasia database. Factor analysis was applied on a correlation matrix of 26 symptoms of language disorders and led to five factors. The factors...

Voting-based consensus clustering for combining multiple clusterings of chemical structures

Directory of Open Access Journals (Sweden)

Saeed Faisal

2012-12-01

Full Text Available Abstract Background Although many consensus clustering methods have been successfully used for combining multiple classifiers in many areas such as machine learning, applied statistics, pattern recognition and bioinformatics, few consensus clustering methods have been applied for combining multiple clusterings of chemical structures. It is known that any individual clustering method will not always give the best results for all types of applications. So, in this paper, three voting and graph-based consensus clusterings were used for combining multiple clusterings of chemical structures to enhance the ability of separating biologically active molecules from inactive ones in each cluster. Results The cumulative voting-based aggregation algorithm (CVAA, cluster-based similarity partitioning algorithm (CSPA and hyper-graph partitioning algorithm (HGPA were examined. The F-measure and Quality Partition Index method (QPI were used to evaluate the clusterings and the results were compared to the Ward’s clustering method. The MDL Drug Data Report (MDDR dataset was used for experiments and was represented by two 2D fingerprints, ALOGP and ECFP_4. The performance of voting-based consensus clustering method outperformed the Ward’s method using F-measure and QPI method for both ALOGP and ECFP_4 fingerprints, while the graph-based consensus clustering methods outperformed the Ward’s method only for ALOGP using QPI. The Jaccard and Euclidean distance measures were the methods of choice to generate the ensembles, which give the highest values for both criteria. Conclusions The results of the experiments show that consensus clustering methods can improve the effectiveness of chemical structures clusterings. The cumulative voting-based aggregation algorithm (CVAA was the method of choice among consensus clustering methods.

Herd Clustering: A synergistic data clustering approach using collective intelligence

KAUST Repository

Wong, Kachun

2014-10-01

Traditional data mining methods emphasize on analytical abilities to decipher data, assuming that data are static during a mining process. We challenge this assumption, arguing that we can improve the analysis by vitalizing data. In this paper, this principle is used to develop a new clustering algorithm. Inspired by herd behavior, the clustering method is a synergistic approach using collective intelligence called Herd Clustering (HC). The novel part is laid in its first stage where data instances are represented by moving particles. Particles attract each other locally and form clusters by themselves as shown in the case studies reported. To demonstrate its effectiveness, the performance of HC is compared to other state-of-the art clustering methods on more than thirty datasets using four performance metrics. An application for DNA motif discovery is also conducted. The results support the effectiveness of HC and thus the underlying philosophy. © 2014 Elsevier B.V.

Clustering approaches to improve the performance of low cost air pollution sensors.

Science.gov (United States)

Smith, Katie R; Edwards, Peter M; Evans, Mathew J; Lee, James D; Shaw, Marvin D; Squires, Freya; Wilde, Shona; Lewis, Alastair C

2017-08-24

frequent calibration. The use of a cluster median value eliminates unpredictable medium term response changes, and other longer term outlier behaviours, extending the likely period needed between calibration and making a linear interpolation between calibrations more appropriate. Through the use of sensor clusters rather than individual sensors, existing low cost technologies could deliver significantly improved quality of observations.

Multiparticle production through isoscalar clusters

International Nuclear Information System (INIS)

Armburst, W.T.; Scott, D.M.

1975-01-01

The isoscalar cluster model for multiparticle production was extended to include clusters of A 2 meson pairs in addition to previously studied rho-rho and sigma clusters. The production of each type of cluster is given by an energy dependent Poisson distribution. The Poisson parameters determined from the charged particle multiplicity distributions indicate that the inclusion of A 2 -A 2 clusters does not improve the fit to the data. The predictions of the model for n 0 n/sub -/, f/sup 2//sub -,-/, and f/sup 2//sub 0,0/ compare favorably to the experimental values. (U.S.)

ASTM clustering for improving coal analysis by near-infrared spectroscopy.

Science.gov (United States)

Andrés, J M; Bona, M T

2006-11-15

Multivariate analysis techniques have been applied to near-infrared (NIR) spectra coals to investigate the relationship between nine coal properties (moisture (%), ash (%), volatile matter (%), fixed carbon (%), heating value (kcal/kg), carbon (%), hydrogen (%), nitrogen (%) and sulphur (%)) and the corresponding predictor variables. In this work, a whole set of coal samples was grouped into six more homogeneous clusters following the ASTM reference method for classification prior to the application of calibration methods to each coal set. The results obtained showed a considerable improvement of the error determination compared with the calibration for the whole sample set. For some groups, the established calibrations approached the quality required by the ASTM/ISO norms for laboratory analysis. To predict property values for a new coal sample it is necessary the assignation of that sample to its respective group. Thus, the discrimination and classification ability of coal samples by Diffuse Reflectance Infrared Fourier Transform Spectroscopy (DRIFTS) in the NIR range was also studied by applying Soft Independent Modelling of Class Analogy (SIMCA) and Linear Discriminant Analysis (LDA) techniques. Modelling of the groups by SIMCA led to overlapping models that cannot discriminate for unique classification. On the other hand, the application of Linear Discriminant Analysis improved the classification of the samples but not enough to be satisfactory for every group considered.

Improved regional-scale Brazilian cropping systems' mapping based on a semi-automatic object-based clustering approach

Science.gov (United States)

Bellón, Beatriz; Bégué, Agnès; Lo Seen, Danny; Lebourgeois, Valentine; Evangelista, Balbino Antônio; Simões, Margareth; Demonte Ferraz, Rodrigo Peçanha

2018-06-01

Cropping systems' maps at fine scale over large areas provide key information for further agricultural production and environmental impact assessments, and thus represent a valuable tool for effective land-use planning. There is, therefore, a growing interest in mapping cropping systems in an operational manner over large areas, and remote sensing approaches based on vegetation index time series analysis have proven to be an efficient tool. However, supervised pixel-based approaches are commonly adopted, requiring resource consuming field campaigns to gather training data. In this paper, we present a new object-based unsupervised classification approach tested on an annual MODIS 16-day composite Normalized Difference Vegetation Index time series and a Landsat 8 mosaic of the State of Tocantins, Brazil, for the 2014-2015 growing season. Two variants of the approach are compared: an hyperclustering approach, and a landscape-clustering approach involving a previous stratification of the study area into landscape units on which the clustering is then performed. The main cropping systems of Tocantins, characterized by the crop types and cropping patterns, were efficiently mapped with the landscape-clustering approach. Results show that stratification prior to clustering significantly improves the classification accuracies for underrepresented and sparsely distributed cropping systems. This study illustrates the potential of unsupervised classification for large area cropping systems' mapping and contributes to the development of generic tools for supporting large-scale agricultural monitoring across regions.

Clustering Dycom

KAUST Repository

Minku, Leandro L.

2017-10-06

Background: Software Effort Estimation (SEE) can be formulated as an online learning problem, where new projects are completed over time and may become available for training. In this scenario, a Cross-Company (CC) SEE approach called Dycom can drastically reduce the number of Within-Company (WC) projects needed for training, saving the high cost of collecting such training projects. However, Dycom relies on splitting CC projects into different subsets in order to create its CC models. Such splitting can have a significant impact on Dycom\\'s predictive performance. Aims: This paper investigates whether clustering methods can be used to help finding good CC splits for Dycom. Method: Dycom is extended to use clustering methods for creating the CC subsets. Three different clustering methods are investigated, namely Hierarchical Clustering, K-Means, and Expectation-Maximisation. Clustering Dycom is compared against the original Dycom with CC subsets of different sizes, based on four SEE databases. A baseline WC model is also included in the analysis. Results: Clustering Dycom with K-Means can potentially help to split the CC projects, managing to achieve similar or better predictive performance than Dycom. However, K-Means still requires the number of CC subsets to be pre-defined, and a poor choice can negatively affect predictive performance. EM enables Dycom to automatically set the number of CC subsets while still maintaining or improving predictive performance with respect to the baseline WC model. Clustering Dycom with Hierarchical Clustering did not offer significant advantage in terms of predictive performance. Conclusion: Clustering methods can be an effective way to automatically generate Dycom\\'s CC subsets.

An Initial Seed Selection Algorithm for K-means Clustering of Georeferenced Data to Improve Replicability of Cluster Assignments for Mapping Application

OpenAIRE

Khan, Fouad

2016-01-01

K-means is one of the most widely used clustering algorithms in various disciplines, especially for large datasets. However the method is known to be highly sensitive to initial seed selection of cluster centers. K-means++ has been proposed to overcome this problem and has been shown to have better accuracy and computational efficiency than k-means. In many clustering problems though -such as when classifying georeferenced data for mapping applications- standardization of clustering methodolo...

Selection of the Maximum Spatial Cluster Size of the Spatial Scan Statistic by Using the Maximum Clustering Set-Proportion Statistic.

Science.gov (United States)

Ma, Yue; Yin, Fei; Zhang, Tao; Zhou, Xiaohua Andrew; Li, Xiaosong

2016-01-01

Spatial scan statistics are widely used in various fields. The performance of these statistics is influenced by parameters, such as maximum spatial cluster size, and can be improved by parameter selection using performance measures. Current performance measures are based on the presence of clusters and are thus inapplicable to data sets without known clusters. In this work, we propose a novel overall performance measure called maximum clustering set-proportion (MCS-P), which is based on the likelihood of the union of detected clusters and the applied dataset. MCS-P was compared with existing performance measures in a simulation study to select the maximum spatial cluster size. Results of other performance measures, such as sensitivity and misclassification, suggest that the spatial scan statistic achieves accurate results in most scenarios with the maximum spatial cluster sizes selected using MCS-P. Given that previously known clusters are not required in the proposed strategy, selection of the optimal maximum cluster size with MCS-P can improve the performance of the scan statistic in applications without identified clusters.

Prediction of line failure fault based on weighted fuzzy dynamic clustering and improved relational analysis

Science.gov (United States)

Meng, Xiaocheng; Che, Renfei; Gao, Shi; He, Juntao

2018-04-01

With the advent of large data age, power system research has entered a new stage. At present, the main application of large data in the power system is the early warning analysis of the power equipment, that is, by collecting the relevant historical fault data information, the system security is improved by predicting the early warning and failure rate of different kinds of equipment under certain relational factors. In this paper, a method of line failure rate warning is proposed. Firstly, fuzzy dynamic clustering is carried out based on the collected historical information. Considering the imbalance between the attributes, the coefficient of variation is given to the corresponding weights. And then use the weighted fuzzy clustering to deal with the data more effectively. Then, by analyzing the basic idea and basic properties of the relational analysis model theory, the gray relational model is improved by combining the slope and the Deng model. And the incremental composition and composition of the two sequences are also considered to the gray relational model to obtain the gray relational degree between the various samples. The failure rate is predicted according to the principle of weighting. Finally, the concrete process is expounded by an example, and the validity and superiority of the proposed method are verified.

An improved initialization center k-means clustering algorithm based on distance and density

Science.gov (United States)

Duan, Yanling; Liu, Qun; Xia, Shuyin

2018-04-01

Aiming at the problem of the random initial clustering center of k means algorithm that the clustering results are influenced by outlier data sample and are unstable in multiple clustering, a method of central point initialization method based on larger distance and higher density is proposed. The reciprocal of the weighted average of distance is used to represent the sample density, and the data sample with the larger distance and the higher density are selected as the initial clustering centers to optimize the clustering results. Then, a clustering evaluation method based on distance and density is designed to verify the feasibility of the algorithm and the practicality, the experimental results on UCI data sets show that the algorithm has a certain stability and practicality.

A systematic review of cluster randomised trials in residential facilities for older people suggests how to improve quality.

Science.gov (United States)

Diaz-Ordaz, Karla; Froud, Robert; Sheehan, Bart; Eldridge, Sandra

2013-10-22

Previous reviews of cluster randomised trials have been critical of the quality of the trials reviewed, but none has explored determinants of the quality of these trials in a specific field over an extended period of time. Recent work suggests that correct conduct and reporting of these trials may require more than published guidelines. In this review, our aim was to assess the quality of cluster randomised trials conducted in residential facilities for older people, and to determine whether (1) statistician involvement in the trial and (2) strength of journal endorsement of the Consolidated Standards of Reporting Trials (CONSORT) statement influence quality. We systematically identified trials randomising residential facilities for older people, or parts thereof, without language restrictions, up to the end of 2010, using National Library of Medicine (Medline) via PubMed and hand-searching. We based quality assessment criteria largely on the extended CONSORT statement for cluster randomised trials. We assessed statistician involvement based on statistician co-authorship, and strength of journal endorsement of the CONSORT statement from journal websites. 73 trials met our inclusion criteria. Of these, 20 (27%) reported accounting for clustering in sample size calculations and 54 (74%) in the analyses. In 29 trials (40%), methods used to identify/recruit participants were judged by us to have potentially caused bias or reporting was unclear to reach a conclusion. Some elements of quality improved over time but this appeared not to be related to the publication of the extended CONSORT statement for these trials. Trials with statistician/epidemiologist co-authors were more likely to account for clustering in sample size calculations (unadjusted odds ratio 5.4, 95% confidence interval 1.1 to 26.0) and analyses (unadjusted OR 3.2, 1.2 to 8.5). Journal endorsement of the CONSORT statement was not associated with trial quality. Despite international attempts to improve

The Innovation Clusters in the Developments by the Scandinavian School of Cluster Theory

Directory of Open Access Journals (Sweden)

Onipko Tetiana A.

2017-08-01

Full Text Available The article generalizes and analyzes the developments by the Scandinavian School of cluster theory (scientists from Sweden, Norway and Denmark on innovative clusters. It has been found that the Scandinavian scientists considered innovative clusters as an integral component of both the regional and the national innovation systems. It has been clarified that the efficiency of an innovative cluster depends largely on the «knowledge base». It was emphasized that innovative clusters, by facilitating interactive training and generating new ideas, stimulate the development of the «economy of training». It has been determined that the coordinating structures of innovative clusters are the institutions of cooperation that facilitate interaction between enterprises, scientific centres, and authorities. It has been specified that innovative clusters contribute to the emerging of benefits for participants, including the growing opportunities for innovation, improved conditions for establishing a business, and increased productivity. It has been concluded that the development of the inner environment of an innovative cluster depends largely on its relationships to the external environment.

Data Clustering

Science.gov (United States)

Wagstaff, Kiri L.

2012-03-01

On obtaining a new data set, the researcher is immediately faced with the challenge of obtaining a high-level understanding from the observations. What does a typical item look like? What are the dominant trends? How many distinct groups are included in the data set, and how is each one characterized? Which observable values are common, and which rarely occur? Which items stand out as anomalies or outliers from the rest of the data? This challenge is exacerbated by the steady growth in data set size [11] as new instruments push into new frontiers of parameter space, via improvements in temporal, spatial, and spectral resolution, or by the desire to "fuse" observations from different modalities and instruments into a larger-picture understanding of the same underlying phenomenon. Data clustering algorithms provide a variety of solutions for this task. They can generate summaries, locate outliers, compress data, identify dense or sparse regions of feature space, and build data models. It is useful to note up front that "clusters" in this context refer to groups of items within some descriptive feature space, not (necessarily) to "galaxy clusters" which are dense regions in physical space. The goal of this chapter is to survey a variety of data clustering methods, with an eye toward their applicability to astronomical data analysis. In addition to improving the individual researcher’s understanding of a given data set, clustering has led directly to scientific advances, such as the discovery of new subclasses of stars [14] and gamma-ray bursts (GRBs) [38]. All clustering algorithms seek to identify groups within a data set that reflect some observed, quantifiable structure. Clustering is traditionally an unsupervised approach to data analysis, in the sense that it operates without any direct guidance about which items should be assigned to which clusters. There has been a recent trend in the clustering literature toward supporting semisupervised or constrained

A 10-Week Multimodal Nutrition Education Intervention Improves Dietary Intake among University Students: Cluster Randomised Controlled Trial

Directory of Open Access Journals (Sweden)

Mohd Razif Shahril

2013-01-01

Full Text Available The aim of the study was to evaluate the effectiveness of implementing multimodal nutrition education intervention (NEI to improve dietary intake among university students. The design of study used was cluster randomised controlled design at four public universities in East Coast of Malaysia. A total of 417 university students participated in the study. They were randomly selected and assigned into two arms, that is, intervention group (IG or control group (CG according to their cluster. The IG received 10-week multimodal intervention using three modes (conventional lecture, brochures, and text messages while CG did not receive any intervention. Dietary intake was assessed before and after intervention and outcomes reported as nutrient intakes as well as average daily servings of food intake. Analysis of covariance (ANCOVA and adjusted effect size were used to determine difference in dietary changes between groups and time. Results showed that, compared to CG, participants in IG significantly improved their dietary intake by increasing their energy intake, carbohydrate, calcium, vitamin C and thiamine, fruits and 100% fruit juice, fish, egg, milk, and dairy products while at the same time significantly decreased their processed food intake. In conclusion, multimodal NEI focusing on healthy eating promotion is an effective approach to improve dietary intakes among university students.

A Cluster-Based Dual-Adaptive Topology Control Approach in Wireless Sensor Networks.

Science.gov (United States)

Gui, Jinsong; Zhou, Kai; Xiong, Naixue

2016-09-25

Multi-Input Multi-Output (MIMO) can improve wireless network performance. Sensors are usually single-antenna devices due to the high hardware complexity and cost, so several sensors are used to form virtual MIMO array, which is a desirable approach to efficiently take advantage of MIMO gains. Also, in large Wireless Sensor Networks (WSNs), clustering can improve the network scalability, which is an effective topology control approach. The existing virtual MIMO-based clustering schemes do not either fully explore the benefits of MIMO or adaptively determine the clustering ranges. Also, clustering mechanism needs to be further improved to enhance the cluster structure life. In this paper, we propose an improved clustering scheme for virtual MIMO-based topology construction (ICV-MIMO), which can determine adaptively not only the inter-cluster transmission modes but also the clustering ranges. Through the rational division of cluster head function and the optimization of cluster head selection criteria and information exchange process, the ICV-MIMO scheme effectively reduces the network energy consumption and improves the lifetime of the cluster structure when compared with the existing typical virtual MIMO-based scheme. Moreover, the message overhead and time complexity are still in the same order of magnitude.

Combining cluster number counts and galaxy clustering

Energy Technology Data Exchange (ETDEWEB)

Lacasa, Fabien; Rosenfeld, Rogerio, E-mail: fabien@ift.unesp.br, E-mail: rosenfel@ift.unesp.br [ICTP South American Institute for Fundamental Research, Instituto de Física Teórica, Universidade Estadual Paulista, São Paulo (Brazil)

2016-08-01

The abundance of clusters and the clustering of galaxies are two of the important cosmological probes for current and future large scale surveys of galaxies, such as the Dark Energy Survey. In order to combine them one has to account for the fact that they are not independent quantities, since they probe the same density field. It is important to develop a good understanding of their correlation in order to extract parameter constraints. We present a detailed modelling of the joint covariance matrix between cluster number counts and the galaxy angular power spectrum. We employ the framework of the halo model complemented by a Halo Occupation Distribution model (HOD). We demonstrate the importance of accounting for non-Gaussianity to produce accurate covariance predictions. Indeed, we show that the non-Gaussian covariance becomes dominant at small scales, low redshifts or high cluster masses. We discuss in particular the case of the super-sample covariance (SSC), including the effects of galaxy shot-noise, halo second order bias and non-local bias. We demonstrate that the SSC obeys mathematical inequalities and positivity. Using the joint covariance matrix and a Fisher matrix methodology, we examine the prospects of combining these two probes to constrain cosmological and HOD parameters. We find that the combination indeed results in noticeably better constraints, with improvements of order 20% on cosmological parameters compared to the best single probe, and even greater improvement on HOD parameters, with reduction of error bars by a factor 1.4-4.8. This happens in particular because the cross-covariance introduces a synergy between the probes on small scales. We conclude that accounting for non-Gaussian effects is required for the joint analysis of these observables in galaxy surveys.

A Novel Cluster Head Selection Algorithm Based on Fuzzy Clustering and Particle Swarm Optimization.

Science.gov (United States)

Ni, Qingjian; Pan, Qianqian; Du, Huimin; Cao, Cen; Zhai, Yuqing

2017-01-01

An important objective of wireless sensor network is to prolong the network life cycle, and topology control is of great significance for extending the network life cycle. Based on previous work, for cluster head selection in hierarchical topology control, we propose a solution based on fuzzy clustering preprocessing and particle swarm optimization. More specifically, first, fuzzy clustering algorithm is used to initial clustering for sensor nodes according to geographical locations, where a sensor node belongs to a cluster with a determined probability, and the number of initial clusters is analyzed and discussed. Furthermore, the fitness function is designed considering both the energy consumption and distance factors of wireless sensor network. Finally, the cluster head nodes in hierarchical topology are determined based on the improved particle swarm optimization. Experimental results show that, compared with traditional methods, the proposed method achieved the purpose of reducing the mortality rate of nodes and extending the network life cycle.

A Cluster-Based Dual-Adaptive Topology Control Approach in Wireless Sensor Networks

Science.gov (United States)

Gui, Jinsong; Zhou, Kai; Xiong, Naixue

2016-01-01

Multi-Input Multi-Output (MIMO) can improve wireless network performance. Sensors are usually single-antenna devices due to the high hardware complexity and cost, so several sensors are used to form virtual MIMO array, which is a desirable approach to efficiently take advantage of MIMO gains. Also, in large Wireless Sensor Networks (WSNs), clustering can improve the network scalability, which is an effective topology control approach. The existing virtual MIMO-based clustering schemes do not either fully explore the benefits of MIMO or adaptively determine the clustering ranges. Also, clustering mechanism needs to be further improved to enhance the cluster structure life. In this paper, we propose an improved clustering scheme for virtual MIMO-based topology construction (ICV-MIMO), which can determine adaptively not only the inter-cluster transmission modes but also the clustering ranges. Through the rational division of cluster head function and the optimization of cluster head selection criteria and information exchange process, the ICV-MIMO scheme effectively reduces the network energy consumption and improves the lifetime of the cluster structure when compared with the existing typical virtual MIMO-based scheme. Moreover, the message overhead and time complexity are still in the same order of magnitude. PMID:27681731

A Cluster-Based Dual-Adaptive Topology Control Approach in Wireless Sensor Networks

Directory of Open Access Journals (Sweden)

Jinsong Gui

2016-09-01

Full Text Available Multi-Input Multi-Output (MIMO can improve wireless network performance. Sensors are usually single-antenna devices due to the high hardware complexity and cost, so several sensors are used to form virtual MIMO array, which is a desirable approach to efficiently take advantage of MIMO gains. Also, in large Wireless Sensor Networks (WSNs, clustering can improve the network scalability, which is an effective topology control approach. The existing virtual MIMO-based clustering schemes do not either fully explore the benefits of MIMO or adaptively determine the clustering ranges. Also, clustering mechanism needs to be further improved to enhance the cluster structure life. In this paper, we propose an improved clustering scheme for virtual MIMO-based topology construction (ICV-MIMO, which can determine adaptively not only the inter-cluster transmission modes but also the clustering ranges. Through the rational division of cluster head function and the optimization of cluster head selection criteria and information exchange process, the ICV-MIMO scheme effectively reduces the network energy consumption and improves the lifetime of the cluster structure when compared with the existing typical virtual MIMO-based scheme. Moreover, the message overhead and time complexity are still in the same order of magnitude.

A Near Real-time Decision Support System Improving Forest Management in the Tropics

Science.gov (United States)

Tabor, K.; Musinsky, J.; Ledezma, J.; Rasolohery, A.; Mendoza, E.; Kistler, H.; Steininger, M.; Morton, D. C.; Melton, F. S.; Manwell, J.; Koenig, K.

2013-12-01

Conservation International (CI) has a decade of experience developing near real-time fire and deforestation monitoring and forecasting systems that channel monitoring information from satellite observations directly to national and sub-national government agencies, Non-Government Organizations (NGOs), and local communities. These systems are used to strengthen forest surveillance and monitoring, fire management and prevention, protected areas management and sustainable land use planning. With support from a NASA Wildland Fires grant, in September 2013 CI will launch a brand new near real-time alert system (FIRECAST) to better meet the outstanding needs and challenges users face in addressing ecosystem degradation from wildland fire and illegal forest activities. Outreach efforts and user feedback have indicated the need for seasonal fire forecasts for effective land use planning, faster alert delivery to enhance response to illegal forest activities, and expanded forest monitoring capabilities that enable proactive responses and that strengthen forest conservation and sustainable development actions. The new FIRECAST system addresses these challenges by integrating the current fire alert and deforestation systems and adding improved ecological forecasting of fire risk; expanding data exchange capabilities with mobile technologies; and delivering a deforestation alert product that can inform policies related to land use management and Reduced Emissions from Deforestation and forest Degradation (REDD+). In addition to demonstrating the capabilities of this new real-time alert system, we also highlight how coordination with host-country institutions enhances the system's capacity to address the implementation needs of REDD+ forest carbon projects, improve tropical forest management, strengthen environmental law enforcement, and facilitate the uptake of near real-time satellite monitoring data into business practices of these national/sub-national institutions.

Improving Multidimensional Wireless Sensor Network Lifetime Using Pearson Correlation and Fractal Clustering.

Science.gov (United States)

Almeida, Fernando R; Brayner, Angelo; Rodrigues, Joel J P C; Maia, Jose E Bessa

2017-06-07

An efficient strategy for reducing message transmission in a wireless sensor network (WSN) is to group sensors by means of an abstraction denoted cluster. The key idea behind the cluster formation process is to identify a set of sensors whose sensed values present some data correlation. Nowadays, sensors are able to simultaneously sense multiple different physical phenomena, yielding in this way multidimensional data. This paper presents three methods for clustering sensors in WSNs whose sensors collect multidimensional data. The proposed approaches implement the concept of multidimensional behavioral clustering . To show the benefits introduced by the proposed methods, a prototype has been implemented and experiments have been carried out on real data. The results prove that the proposed methods decrease the amount of data flowing in the network and present low root-mean-square error (RMSE).

Stabilizing ultrasmall Au clusters for enhanced photoredox catalysis.

Science.gov (United States)

Weng, Bo; Lu, Kang-Qiang; Tang, Zichao; Chen, Hao Ming; Xu, Yi-Jun

2018-04-18

Recently, loading ligand-protected gold (Au) clusters as visible light photosensitizers onto various supports for photoredox catalysis has attracted considerable attention. However, the efficient control of long-term photostability of Au clusters on the metal-support interface remains challenging. Herein, we report a simple and efficient method for enhancing the photostability of glutathione-protected Au clusters (Au GSH clusters) loaded on the surface of SiO 2 sphere by utilizing multifunctional branched poly-ethylenimine (BPEI) as a surface charge modifying, reducing and stabilizing agent. The sequential coating of thickness controlled TiO 2 shells can further significantly improve the photocatalytic efficiency, while such structurally designed core-shell SiO 2 -Au GSH clusters-BPEI@TiO 2 composites maintain high photostability during longtime light illumination conditions. This joint strategy via interfacial modification and composition engineering provides a facile guideline for stabilizing ultrasmall Au clusters and rational design of Au clusters-based composites with improved activity toward targeting applications in photoredox catalysis.

Cluster-based spectrum sensing for cognitive radios with imperfect channel to cluster-head

KAUST Repository

Ben Ghorbel, Mahdi

2012-04-01

Spectrum sensing is considered as the first and main step for cognitive radio systems to achieve an efficient use of spectrum. Cooperation and clustering among cognitive radio users are two techniques that can be employed with spectrum sensing in order to improve the sensing performance by reducing miss-detection and false alarm. In this paper, within the framework of a clustering-based cooperative spectrum sensing scheme, we study the effect of errors in transmitting the local decisions from the secondary users to the cluster heads (or the fusion center), while considering non-identical channel conditions between the secondary users. Closed-form expressions for the global probabilities of detection and false alarm at the cluster head are derived. © 2012 IEEE.

Cluster-based spectrum sensing for cognitive radios with imperfect channel to cluster-head

KAUST Repository

Ben Ghorbel, Mahdi; Nam, Haewoon; Alouini, Mohamed-Slim

2012-01-01

Spectrum sensing is considered as the first and main step for cognitive radio systems to achieve an efficient use of spectrum. Cooperation and clustering among cognitive radio users are two techniques that can be employed with spectrum sensing in order to improve the sensing performance by reducing miss-detection and false alarm. In this paper, within the framework of a clustering-based cooperative spectrum sensing scheme, we study the effect of errors in transmitting the local decisions from the secondary users to the cluster heads (or the fusion center), while considering non-identical channel conditions between the secondary users. Closed-form expressions for the global probabilities of detection and false alarm at the cluster head are derived. © 2012 IEEE.

Globular Cluster Variable Stars—Atlas and Coordinate Improvement using AAVSOnet Telescopes (Abstract)

Science.gov (United States)

Welch, D.; Henden, A.; Bell, T.; Suen, C.; Fare, I.; Sills, A.

2015-12-01

(Abstract only) The variable stars of globular clusters have played and continue to play a significant role in our understanding of certain classes of variable stars. Since all stars associated with a cluster have the same age, metallicity, distance and usually very similar (if not identical reddenings), such variables can produce uniquely powerful constraints on where certain types of pulsation behaviors are excited. Advanced amateur astronomers are increasingly well-positioned to provide long-term CCD monitoring of globular cluster variable star but are hampered by a long history of poor or inaccessible finder charts and coordinates. Many of variable-rich clusters have published photographic finder charts taken in relatively poor seeing with blue-sensitive photographic plates. While useful signal-to-noise ratios are relatively straightforward to achieve for RR Lyrae, Type 2 Cepheids, and red giant variables, correct identification remains a difficult issue—particularly when images are taken at V or longer wavelengths. We describe the project and report its progress using the OC61, TMO61, and SRO telescopes of AAVSOnet after the first year of image acquisition and demonstrate several of the data products being developed for globular cluster variables.

An Improved Semisupervised Outlier Detection Algorithm Based on Adaptive Feature Weighted Clustering

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Tingquan Deng

2016-01-01

Full Text Available There exist already various approaches to outlier detection, in which semisupervised methods achieve encouraging superiority due to the introduction of prior knowledge. In this paper, an adaptive feature weighted clustering-based semisupervised outlier detection strategy is proposed. This method maximizes the membership degree of a labeled normal object to the cluster it belongs to and minimizes the membership degrees of a labeled outlier to all clusters. In consideration of distinct significance of features or components in a dataset in determining an object being an inlier or outlier, each feature is adaptively assigned different weights according to the deviation degrees between this feature of all objects and that of a certain cluster prototype. A series of experiments on a synthetic dataset and several real-world datasets are implemented to verify the effectiveness and efficiency of the proposal.

Simulation-based team training for multi-professional obstetric care teams to improve patient outcome : a multicentre, cluster randomised controlled trial

NARCIS (Netherlands)

Fransen, A F; van de Ven, J; Schuit, E; van Tetering, Aac; Mol, B W; Oei, S G

OBJECTIVE: To investigate whether simulation-based obstetric team training in a simulation centre improves patient outcome. DESIGN: Multicentre, open, cluster randomised controlled trial. SETTING: Obstetric units in the Netherlands. POPULATION: Women with a singleton pregnancy beyond 24 weeks of

BioCluster: Tool for Identification and Clustering of Enterobacteriaceae Based on Biochemical Data

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Ahmed Abdullah

2015-06-01

Full Text Available Presumptive identification of different Enterobacteriaceae species is routinely achieved based on biochemical properties. Traditional practice includes manual comparison of each biochemical property of the unknown sample with known reference samples and inference of its identity based on the maximum similarity pattern with the known samples. This process is labor-intensive, time-consuming, error-prone, and subjective. Therefore, automation of sorting and similarity in calculation would be advantageous. Here we present a MATLAB-based graphical user interface (GUI tool named BioCluster. This tool was designed for automated clustering and identification of Enterobacteriaceae based on biochemical test results. In this tool, we used two types of algorithms, i.e., traditional hierarchical clustering (HC and the Improved Hierarchical Clustering (IHC, a modified algorithm that was developed specifically for the clustering and identification of Enterobacteriaceae species. IHC takes into account the variability in result of 1–47 biochemical tests within this Enterobacteriaceae family. This tool also provides different options to optimize the clustering in a user-friendly way. Using computer-generated synthetic data and some real data, we have demonstrated that BioCluster has high accuracy in clustering and identifying enterobacterial species based on biochemical test data. This tool can be freely downloaded at http://microbialgen.du.ac.bd/biocluster/.

An innovative telemedicine knowledge translation program to improve quality of care in intensive care units: protocol for a cluster randomized pragmatic trial

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Pinto Ruxandra

2009-02-01

Full Text Available Abstract Background There are challenges to timely adoption of, and ongoing adherence to, evidence-based practices known to improve patient care in the intensive care unit (ICU. Quality improvement initiatives using a collaborative network approach may increase the use of such practices. Our objective is to evaluate the effectiveness of a novel knowledge translation program for increasing the proportion of patients who appropriately receive the following six evidence-based care practices: venous thromboembolism prophylaxis; ventilator-associated pneumonia prevention; spontaneous breathing trials; catheter-related bloodstream infection prevention; decubitus ulcer prevention; and early enteral nutrition. Methods and design We will conduct a pragmatic cluster randomized active control trial in 15 community ICUs and one academic ICU in Ontario, Canada. The intervention is a multifaceted videoconferenced educational and problem-solving forum to organize knowledge translation strategies, including comparative audit and feedback, educational sessions from content experts, and dissemination of algorithms. Fifteen individual ICUs (clusters will be randomized to receive quality improvement interventions targeting one of the best practices during each of six study phases. Each phase lasts four months during the first study year and three months during the second. At the end of each study phase, ICUs are assigned to an intervention for a best practice not yet received according to a random schedule. The primary analysis will use patient-level process-of-care data to measure the intervention's effect on rates of adoption and adherence of each best practice in the targeted ICU clusters versus controls. Discussion This study design evaluates a new system for knowledge translation and quality improvement across six common ICU problems. All participating ICUs receive quality improvement initiatives during every study phase, improving buy-in. This study design

DAFi: A directed recursive data filtering and clustering approach for improving and interpreting data clustering identification of cell populations from polychromatic flow cytometry data.

Science.gov (United States)

Lee, Alexandra J; Chang, Ivan; Burel, Julie G; Lindestam Arlehamn, Cecilia S; Mandava, Aishwarya; Weiskopf, Daniela; Peters, Bjoern; Sette, Alessandro; Scheuermann, Richard H; Qian, Yu

2018-04-17

Computational methods for identification of cell populations from polychromatic flow cytometry data are changing the paradigm of cytometry bioinformatics. Data clustering is the most common computational approach to unsupervised identification of cell populations from multidimensional cytometry data. However, interpretation of the identified data clusters is labor-intensive. Certain types of user-defined cell populations are also difficult to identify by fully automated data clustering analysis. Both are roadblocks before a cytometry lab can adopt the data clustering approach for cell population identification in routine use. We found that combining recursive data filtering and clustering with constraints converted from the user manual gating strategy can effectively address these two issues. We named this new approach DAFi: Directed Automated Filtering and Identification of cell populations. Design of DAFi preserves the data-driven characteristics of unsupervised clustering for identifying novel cell subsets, but also makes the results interpretable to experimental scientists through mapping and merging the multidimensional data clusters into the user-defined two-dimensional gating hierarchy. The recursive data filtering process in DAFi helped identify small data clusters which are otherwise difficult to resolve by a single run of the data clustering method due to the statistical interference of the irrelevant major clusters. Our experiment results showed that the proportions of the cell populations identified by DAFi, while being consistent with those by expert centralized manual gating, have smaller technical variances across samples than those from individual manual gating analysis and the nonrecursive data clustering analysis. Compared with manual gating segregation, DAFi-identified cell populations avoided the abrupt cut-offs on the boundaries. DAFi has been implemented to be used with multiple data clustering methods including K-means, FLOCK, FlowSOM, and

Seizure clusters: characteristics and treatment.

Science.gov (United States)

Haut, Sheryl R

2015-04-01

Many patients with epilepsy experience 'clusters' or flurries of seizures, also termed acute repetitive seizures (ARS). Seizure clustering has a significant impact on health and quality of life. This review summarizes recent advances in the definition and neurophysiologic understanding of clustering, the epidemiology and risk factors for clustering and both inpatient and outpatient clinical implications. New treatments for seizure clustering/ARS are perhaps the area of greatest recent progress. Efforts have focused on creating a uniform definition of a seizure cluster. In neurophysiologic studies of refractory epilepsy, seizures within a cluster appear to be self-triggering. Clinical progress has been achieved towards a more precise prevalence of clustering, and consensus guidelines for epilepsy monitoring unit safety. The greatest recent advances are in the study of nonintravenous route of benzodiazepines as rescue medications for seizure clusters/ARS. Rectal benzodiazepines have been very effective but barriers to use exist. New data on buccal, intramuscular and intranasal preparations are anticipated to lead to a greater number of approved treatments. Progesterone may be effective for women who experience catamenial clusters. Seizure clustering is common, particularly in the setting of medically refractory epilepsy. Clustering worsens health and quality of life, and the field requires greater focus on clarifying of definition and clinical implications. Progress towards the development of nonintravenous routes of benzodiazepines has the potential to improve care in this area.

Intrinsic alignment of redMaPPer clusters: cluster shape-matter density correlation

Science.gov (United States)

van Uitert, Edo; Joachimi, Benjamin

2017-07-01

We measure the alignment of the shapes of galaxy clusters, as traced by their satellite distributions, with the matter density field using the public redMaPPer catalogue based on Sloan Digital Sky Survey-Data Release 8 (SDSS-DR8), which contains 26 111 clusters up to z ˜ 0.6. The clusters are split into nine redshift and richness samples; in each of them, we detect a positive alignment, showing that clusters point towards density peaks. We interpret the measurements within the tidal alignment paradigm, allowing for a richness and redshift dependence. The intrinsic alignment (IA) amplitude at the pivot redshift z = 0.3 and pivot richness λ = 30 is A_IA^gen=12.6_{-1.2}^{+1.5}. We obtain tentative evidence that the signal increases towards higher richness and lower redshift. Our measurements agree well with results of maxBCG clusters and with dark-matter-only simulations. Comparing our results to the IA measurements of luminous red galaxies, we find that the IA amplitude of galaxy clusters forms a smooth extension towards higher mass. This suggests that these systems share a common alignment mechanism, which can be exploited to improve our physical understanding of IA.

The Business Cluster's Distribution e-Channels

OpenAIRE

Milan Davidovic

2011-01-01

The business cluster cooperative potential and business capability improvement are dependent on e-business implementation and business model change dynamics in cluster and his members based in new and existing distribution channels, customer relationships management and supplychain integration. In this work analyse cluster’s e-business models, e-commerce forms and distribution e-channels for three business cases: when cluster members are oriented on own business, on cooperative’s project or c...

Aging Reduces the Activation of the mTORC1 Pathway after Resistance Exercise and Protein Intake in Human Skeletal Muscle: Potential Role of REDD1 and Impaired Anabolic Sensitivity

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Marc Francaux

2016-01-01

Full Text Available This study was designed to better understand the molecular mechanisms involved in the anabolic resistance observed in elderly people. Nine young (22 ± 0.1 years and 10 older (69 ± 1.7 years volunteers performed a one-leg extension exercise consisting of 10 × 10 repetitions at 70% of their 3-RM, immediately after which they ingested 30 g of whey protein. Muscle biopsies were taken from the vastus lateralis at rest in the fasted state and 30 min after protein ingestion in the non-exercised (Pro and exercised (Pro+ex legs. Plasma insulin levels were determined at the same time points. No age difference was measured in fasting insulin levels but the older subjects had a 50% higher concentration than the young subjects in the fed state (p < 0.05. While no difference was observed in the fasted state, in response to exercise and protein ingestion, the phosphorylation state of PKB (p < 0.05 in Pro and Pro+ex and S6K1 (p = 0.059 in Pro; p = 0.066 in Pro+ex was lower in the older subjects compared with the young subjects. After Pro+ex, REDD1 expression tended to be higher (p = 0.087 in the older group while AMPK phosphorylation was not modified by any condition. In conclusion, we show that the activation of the mTORC1 pathway is reduced in skeletal muscle of older subjects after resistance exercise and protein ingestion compared with young subjects, which could be partially due to an increased expression of REDD1 and an impaired anabolic sensitivity.

Study of aluminum-doped silicon clusters

International Nuclear Information System (INIS)

Zhan Shichang; Li Baoxing; Yang Jiansong

2007-01-01

Using full-muffin-tin-orbital molecular-dynamics (FP-LMTO-MD) method, we have investigated the effect of aluminum heteroatoms on the geometric structures and bond characteristics of Si n (n=5-10) clusters in detail. It is found that the geometric framework of the ground state structures for Si n (n=5-10) clusters change to some extent upon the substitution of Al atoms in some Si atoms. The effect of aluminum doping on the silicon clusters depends on the geometric structures of Si n (n=5-10) clusters. In particular, the calculations suggest that the aluminum doping would improve the bond strength of some Si-Si bonds in the mixed Si n - m Al m clusters

Coverage improvement in clustered wireless sensor networks by relocating mobile nodes based on waypoints

DEFF Research Database (Denmark)

Mathur, Prateek; Nielsen, Rasmus Hjorth; Prasad, Neeli R.

2013-01-01

by clusters with relocation of mobile nodes between the clusters. Mobile nodes are guided by waypoints between source and destination clusters without use of localization services. The simulation results have been presented which state the effectiveness of the proposed approach. Mobile node relocation has...

A roadmap of clustering algorithms: finding a match for a biomedical application.

Science.gov (United States)

Andreopoulos, Bill; An, Aijun; Wang, Xiaogang; Schroeder, Michael

2009-05-01

Clustering is ubiquitously applied in bioinformatics with hierarchical clustering and k-means partitioning being the most popular methods. Numerous improvements of these two clustering methods have been introduced, as well as completely different approaches such as grid-based, density-based and model-based clustering. For improved bioinformatics analysis of data, it is important to match clusterings to the requirements of a biomedical application. In this article, we present a set of desirable clustering features that are used as evaluation criteria for clustering algorithms. We review 40 different clustering algorithms of all approaches and datatypes. We compare algorithms on the basis of desirable clustering features, and outline algorithms' benefits and drawbacks as a basis for matching them to biomedical applications.

Weighted voting-based consensus clustering for chemical structure databases

Science.gov (United States)

Saeed, Faisal; Ahmed, Ali; Shamsir, Mohd Shahir; Salim, Naomie

2014-06-01

The cluster-based compound selection is used in the lead identification process of drug discovery and design. Many clustering methods have been used for chemical databases, but there is no clustering method that can obtain the best results under all circumstances. However, little attention has been focused on the use of combination methods for chemical structure clustering, which is known as consensus clustering. Recently, consensus clustering has been used in many areas including bioinformatics, machine learning and information theory. This process can improve the robustness, stability, consistency and novelty of clustering. For chemical databases, different consensus clustering methods have been used including the co-association matrix-based, graph-based, hypergraph-based and voting-based methods. In this paper, a weighted cumulative voting-based aggregation algorithm (W-CVAA) was developed. The MDL Drug Data Report (MDDR) benchmark chemical dataset was used in the experiments and represented by the AlogP and ECPF_4 descriptors. The results from the clustering methods were evaluated by the ability of the clustering to separate biologically active molecules in each cluster from inactive ones using different criteria, and the effectiveness of the consensus clustering was compared to that of Ward's method, which is the current standard clustering method in chemoinformatics. This study indicated that weighted voting-based consensus clustering can overcome the limitations of the existing voting-based methods and improve the effectiveness of combining multiple clusterings of chemical structures.

A cluster-randomized controlled study to evaluate a team coaching concept for improving teamwork and patient-centeredness in rehabilitation teams

OpenAIRE

K?rner, Mirjam; Luzay, Leonie; Plewnia, Anne; Becker, Sonja; Rundel, Manfred; Zimmermann, Linda; M?ller, Christian

2017-01-01

Purpose Although the relevance of interprofessional teamwork in the delivery of patient-centered care is well known, there is a lack of interventions for improving team interaction in the context of rehabilitation in Germany. The aim of the present study is to evaluate whether a specially developed team coaching concept (TCC) could improve both teamwork and patient-centeredness. Method A multicenter, cluster-randomized controlled intervention study was conducted with both staff and patient qu...

Operational multi-sensor design for forest carbon monitoring to support REDD+ in Kalimantan, Indonesia

Science.gov (United States)

Braswell, B. H.; Hagen, S. C.; Harris, N.; Saatchi, S. S.

2013-12-01

Parties to the United Nations Framework Convention on Climate Change (UNFCCC) have been requested to establish robust and transparent national forest monitoring systems (NFMS) that use a combination of remote sensing and ground-based forest carbon inventory approaches to estimate anthropogenic forest-related greenhouse gas emissions and removals, reducing uncertainties as far as possible. A country's NFMS should also be used for data collection to inform the assessment of national or subnational forest reference emission levels and/or forest reference levels (RELs/RLs). In this way, the NFMS forms the link between historical assessments and current/future assessments, enabling consistency in the data and information to support the implementation of REDD+ activities in countries. The creation of a reliable, transparent, and comprehensive NFMS is currently limited by a dearth of relevant data that are accurate, low-cost, and spatially resolved at subnational scales. We are developing, evaluating, and validating several critical components of an NFMS in Kalimantan, Indonesia, focusing on the use of LiDAR and radar imagery for improved carbon stock and forest degradation information. Our goal is to evaluate sensor and platform tradeoffs systematically against in situ investments, as well as provide detailed tracking and characterization of uncertainty in a cost-benefit framework. Kalimantan is an ideal area to evaluate the use of remote sensing methods because measuring forest carbon stocks and their human caused changes with a high degree of certainty in areas of dense tropical forests has proven to be difficult. While the proposed NFMS components are being developed at the subnational scale for Kalimantan, we are targeting these methods for applicability across broader geographies and for implementation at various scales. Our intention is for this research to advance the state of the art of Measuring, Reporting, and Verification (MRV) system methodologies in ways

An improved Pearson's correlation proximity-based hierarchical clustering for mining biological association between genes.

Science.gov (United States)

Booma, P M; Prabhakaran, S; Dhanalakshmi, R

2014-01-01

Microarray gene expression datasets has concerned great awareness among molecular biologist, statisticians, and computer scientists. Data mining that extracts the hidden and usual information from datasets fails to identify the most significant biological associations between genes. A search made with heuristic for standard biological process measures only the gene expression level, threshold, and response time. Heuristic search identifies and mines the best biological solution, but the association process was not efficiently addressed. To monitor higher rate of expression levels between genes, a hierarchical clustering model was proposed, where the biological association between genes is measured simultaneously using proximity measure of improved Pearson's correlation (PCPHC). Additionally, the Seed Augment algorithm adopts average linkage methods on rows and columns in order to expand a seed PCPHC model into a maximal global PCPHC (GL-PCPHC) model and to identify association between the clusters. Moreover, a GL-PCPHC applies pattern growing method to mine the PCPHC patterns. Compared to existing gene expression analysis, the PCPHC model achieves better performance. Experimental evaluations are conducted for GL-PCPHC model with standard benchmark gene expression datasets extracted from UCI repository and GenBank database in terms of execution time, size of pattern, significance level, biological association efficiency, and pattern quality.

The challenge of assessing social dimensions of avoided deforestation: Examples from Cambodia

International Nuclear Information System (INIS)

Pasgaard, M.

2013-01-01

Reduced Emissions from Deforestation and Forest Degradation in developing countries (REDD +) has moved to the central stage of the climate change debate by being promoted as a significant, cheap, and quick win–win strategy to reduce greenhouse gas emissions and thereby mitigate climate change. In order to be successful in reducing emissions while providing the projected social and environmental co-benefits, REDD + needs to overcome key challenges of insecure forest tenure and inequity in the distribution of benefits. Such challenges threaten to affect the livelihoods and well-being in the local communities and in turn the effectiveness of REDD+. While REDD + programs will affect the participating communities, there is limited knowledge as to what social impacts these projects may bring to the local population. Similarly, assessment of these social dimensions has received little attention until recently, and is consequently out of sync with the realities of REDD + projects. The present paper aims to shed light on the methodological and contextual challenges in the assessment of the social dimensions of REDD+. Some of the main social concerns of REDD + are outlined with an emphasis on the uniqueness and complexity of REDD + interventions. Recently proposed approaches to assess social impacts in REDD + are critically assessed in terms of the diversity of frameworks proposed, choice of social indicators, and data collection requirements. Specifically, these methodological implications are further discussed in the light of the social dimensions and the prescribed regulations of REDD + in a Cambodian context. - Highlights: ► Insecure tenure and inequitable benefit sharing are main social concerns in REDD +. ► Two guides to social assessments in REDD + are critically reviewed. ► Mismatch between social assessment requirements and the reality of REDD + is analyzed. ► Concrete, topical examples from Cambodian REDD + are used. ► Support the claim to add

An improved optimum-path forest clustering algorithm for remote sensing image segmentation

Science.gov (United States)

Chen, Siya; Sun, Tieli; Yang, Fengqin; Sun, Hongguang; Guan, Yu

2018-03-01

Remote sensing image segmentation is a key technology for processing remote sensing images. The image segmentation results can be used for feature extraction, target identification and object description. Thus, image segmentation directly affects the subsequent processing results. This paper proposes a novel Optimum-Path Forest (OPF) clustering algorithm that can be used for remote sensing segmentation. The method utilizes the principle that the cluster centres are characterized based on their densities and the distances between the centres and samples with higher densities. A new OPF clustering algorithm probability density function is defined based on this principle and applied to remote sensing image segmentation. Experiments are conducted using five remote sensing land cover images. The experimental results illustrate that the proposed method can outperform the original OPF approach.

Searching remote homology with spectral clustering with symmetry in neighborhood cluster kernels.

Directory of Open Access Journals (Sweden)

Ujjwal Maulik

Full Text Available Remote homology detection among proteins utilizing only the unlabelled sequences is a central problem in comparative genomics. The existing cluster kernel methods based on neighborhoods and profiles and the Markov clustering algorithms are currently the most popular methods for protein family recognition. The deviation from random walks with inflation or dependency on hard threshold in similarity measure in those methods requires an enhancement for homology detection among multi-domain proteins. We propose to combine spectral clustering with neighborhood kernels in Markov similarity for enhancing sensitivity in detecting homology independent of "recent" paralogs. The spectral clustering approach with new combined local alignment kernels more effectively exploits the unsupervised protein sequences globally reducing inter-cluster walks. When combined with the corrections based on modified symmetry based proximity norm deemphasizing outliers, the technique proposed in this article outperforms other state-of-the-art cluster kernels among all twelve implemented kernels. The comparison with the state-of-the-art string and mismatch kernels also show the superior performance scores provided by the proposed kernels. Similar performance improvement also is found over an existing large dataset. Therefore the proposed spectral clustering framework over combined local alignment kernels with modified symmetry based correction achieves superior performance for unsupervised remote homolog detection even in multi-domain and promiscuous domain proteins from Genolevures database families with better biological relevance. Source code available upon request.sarkar@labri.fr.

Integration K-Means Clustering Method and Elbow Method For Identification of The Best Customer Profile Cluster

Science.gov (United States)

Syakur, M. A.; Khotimah, B. K.; Rochman, E. M. S.; Satoto, B. D.

2018-04-01

Clustering is a data mining technique used to analyse data that has variations and the number of lots. Clustering was process of grouping data into a cluster, so they contained data that is as similar as possible and different from other cluster objects. SMEs Indonesia has a variety of customers, but SMEs do not have the mapping of these customers so they did not know which customers are loyal or otherwise. Customer mapping is a grouping of customer profiling to facilitate analysis and policy of SMEs in the production of goods, especially batik sales. Researchers will use a combination of K-Means method with elbow to improve efficient and effective k-means performance in processing large amounts of data. K-Means Clustering is a localized optimization method that is sensitive to the selection of the starting position from the midpoint of the cluster. So choosing the starting position from the midpoint of a bad cluster will result in K-Means Clustering algorithm resulting in high errors and poor cluster results. The K-means algorithm has problems in determining the best number of clusters. So Elbow looks for the best number of clusters on the K-means method. Based on the results obtained from the process in determining the best number of clusters with elbow method can produce the same number of clusters K on the amount of different data. The result of determining the best number of clusters with elbow method will be the default for characteristic process based on case study. Measurement of k-means value of k-means has resulted in the best clusters based on SSE values on 500 clusters of batik visitors. The result shows the cluster has a sharp decrease is at K = 3, so K as the cut-off point as the best cluster.

Cluster chemical ionization for improved confidence level in sample identification by gas chromatography/mass spectrometry.

Science.gov (United States)

Fialkov, Alexander B; Amirav, Aviv

2003-01-01

Upon the supersonic expansion of helium mixed with vapor from an organic solvent (e.g. methanol), various clusters of the solvent with the sample molecules can be formed. As a result of 70 eV electron ionization of these clusters, cluster chemical ionization (cluster CI) mass spectra are obtained. These spectra are characterized by the combination of EI mass spectra of vibrationally cold molecules in the supersonic molecular beam (cold EI) with CI-like appearance of abundant protonated molecules, together with satellite peaks corresponding to protonated or non-protonated clusters of sample compounds with 1-3 solvent molecules. Like CI, cluster CI preferably occurs for polar compounds with high proton affinity. However, in contrast to conventional CI, for non-polar compounds or those with reduced proton affinity the cluster CI mass spectrum converges to that of cold EI. The appearance of a protonated molecule and its solvent cluster peaks, plus the lack of protonation and cluster satellites for prominent EI fragments, enable the unambiguous identification of the molecular ion. In turn, the insertion of the proper molecular ion into the NIST library search of the cold EI mass spectra eliminates those candidates with incorrect molecular mass and thus significantly increases the confidence level in sample identification. Furthermore, molecular mass identification is of prime importance for the analysis of unknown compounds that are absent in the library. Examples are given with emphasis on the cluster CI analysis of carbamate pesticides, high explosives and unknown samples, to demonstrate the usefulness of Supersonic GC/MS (GC/MS with supersonic molecular beam) in the analysis of these thermally labile compounds. Cluster CI is shown to be a practical ionization method, due to its ease-of-use and fast instrumental conversion between EI and cluster CI, which involves the opening of only one valve located at the make-up gas path. The ease-of-use of cluster CI is analogous

A clustering approach to segmenting users of internet-based risk calculators.

Science.gov (United States)

Harle, C A; Downs, J S; Padman, R

2011-01-01

Risk calculators are widely available Internet applications that deliver quantitative health risk estimates to consumers. Although these tools are known to have varying effects on risk perceptions, little is known about who will be more likely to accept objective risk estimates. To identify clusters of online health consumers that help explain variation in individual improvement in risk perceptions from web-based quantitative disease risk information. A secondary analysis was performed on data collected in a field experiment that measured people's pre-diabetes risk perceptions before and after visiting a realistic health promotion website that provided quantitative risk information. K-means clustering was performed on numerous candidate variable sets, and the different segmentations were evaluated based on between-cluster variation in risk perception improvement. Variation in responses to risk information was best explained by clustering on pre-intervention absolute pre-diabetes risk perceptions and an objective estimate of personal risk. Members of a high-risk overestimater cluster showed large improvements in their risk perceptions, but clusters of both moderate-risk and high-risk underestimaters were much more muted in improving their optimistically biased perceptions. Cluster analysis provided a unique approach for segmenting health consumers and predicting their acceptance of quantitative disease risk information. These clusters suggest that health consumers were very responsive to good news, but tended not to incorporate bad news into their self-perceptions much. These findings help to quantify variation among online health consumers and may inform the targeted marketing of and improvements to risk communication tools on the Internet.

Photo-induced transformation process at gold clusters-semiconductor interface: Implications for the complexity of gold clusters-based photocatalysis

Science.gov (United States)

Liu, Siqi; Xu, Yi-Jun

2016-03-01

The recent thrust in utilizing atomically precise organic ligands protected gold clusters (Au clusters) as photosensitizer coupled with semiconductors for nano-catalysts has led to the claims of improved efficiency in photocatalysis. Nonetheless, the influence of photo-stability of organic ligands protected-Au clusters at the Au/semiconductor interface on the photocatalytic properties remains rather elusive. Taking Au clusters-TiO2 composites as a prototype, we for the first time demonstrate the photo-induced transformation of small molecular-like Au clusters to larger metallic Au nanoparticles under different illumination conditions, which leads to the diverse photocatalytic reaction mechanism. This transformation process undergoes a diffusion/aggregation mechanism accompanied with the onslaught of Au clusters by active oxygen species and holes resulting from photo-excited TiO2 and Au clusters. However, such Au clusters aggregation can be efficiently inhibited by tuning reaction conditions. This work would trigger rational structural design and fine condition control of organic ligands protected-metal clusters-semiconductor composites for diverse photocatalytic applications with long-term photo-stability.

Galaxy clusters and cosmology

CERN Document Server

White, S

1994-01-01

Galaxy clusters are the largest coherent objects in Universe. It has been known since 1933 that their dynamical properties require either a modification of the theory of gravity, or the presence of a dominant component of unseen material of unknown nature. Clusters still provide the best laboratories for studying the amount and distribution of this dark matter relative to the material which can be observed directly -- the galaxies themselves and the hot,X-ray-emitting gas which lies between them.Imaging and spectroscopy of clusters by satellite-borne X -ray telescopes has greatly improved our knowledge of the structure and composition of this intergalactic medium. The results permit a number of new approaches to some fundamental cosmological questions,but current indications from the data are contradictory. The observed irregularity of real clusters seems to imply recent formation epochs which would require a universe with approximately the critical density. On the other hand, the large baryon fraction observ...

Fine‐Grained Mobile Application Clustering Model Using Retrofitted Document Embedding

Directory of Open Access Journals (Sweden)

Yeo‐Chan Yoon

2017-08-01

Full Text Available In this paper, we propose a fine‐grained mobile application clustering model using retrofitted document embedding. To automatically determine the clusters and their numbers with no predefined categories, the proposed model initializes the clusters based on title keywords and then merges similar clusters. For improved clustering performance, the proposed model distinguishes between an accurate clustering step with titles and an expansive clustering step with descriptions. During the accurate clustering step, an automatically tagged set is constructed as a result. This set is utilized to learn a high‐performance document vector. During the expansive clustering step, more applications are then classified using this document vector. Experimental results showed that the purity of the proposed model increased by 0.19, and the entropy decreased by 1.18, compared with the K‐means algorithm. In addition, the mean average precision improved by more than 0.09 in a comparison with a support vector machine classifier.

Identifying optimal areas for REDD intervention: East Kalimantan, Indonesia as a case study

International Nuclear Information System (INIS)

Harris, Nancy L; Petrova, Silvia; Brown, Sandra; Stolle, Fred

2008-01-01

International discussions on reducing emissions from deforestation and degradation (REDD) as a greenhouse gas (GHG) abatement strategy are ongoing under the United Nations Framework Convention on Climate Change (UNFCCC). In the light of these discussions, it behooves countries to be able to determine the relative likelihood of deforestation over a landscape and perform a first order estimation of the potential reduction in GHGs associated with various protection scenarios. This would allow countries to plan their interventions accordingly to maximize carbon benefits, alongside other environmental and socioeconomic benefits, because forest protection programs might be chosen in places where the perceived threat of deforestation is high whereas in reality the threat is low. In this case study, we illustrate a method for creating deforestation threat maps and estimating potential reductions in GHGs from eighteen protected areas in East Kalimantan, Indonesia, that would occur if protection of these areas was well enforced. Results from our analysis indicate that a further 230 720 ha of East Kalimantan's forest area would be lost and approximately 305 million t CO 2 would be emitted from existing protected areas between 2003 and 2013 if the historical rate of deforestation continued unabated. In other words, the emission of 305 million t CO 2 into the atmosphere would be avoided during this period if protection of the existing areas was well enforced. At a price of $4 per ton of CO 2 (approximate price on the Chicago Climate Exchange in August 2008), this represents an estimated gross income stream of about $120 million per year. We also identified additional areas with high carbon stocks under high deforestation threat that would be important to protect if the carbon benefits of avoided deforestation activities are to be maximized in this region

Deployment Strategies and Clustering Protocols Efficiency

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Chérif Diallo

2017-06-01

Full Text Available Wireless sensor networks face significant design challenges due to limited computing and storage capacities and, most importantly, dependence on limited battery power. Energy is a critical resource and is often an important issue to the deployment of sensor applications that claim to be omnipresent in the world of future. Thus optimizing the deployment of sensors becomes a major constraint in the design and implementation of a WSN in order to ensure better network operations. In wireless networking, clustering techniques add scalability, reduce the computation complexity of routing protocols, allow data aggregation and then enhance the network performance. The well-known MaxMin clustering algorithm was previously generalized, corrected and validated. Then, in a previous work we have improved MaxMin by proposing a Single- node Cluster Reduction (SNCR mechanism which eliminates single-node clusters and then improve energy efficiency. In this paper, we show that MaxMin, because of its original pathological case, does not support the grid deployment topology, which is frequently used in WSN architectures. The unreliability feature of the wireless links could have negative impacts on Link Quality Indicator (LQI based clustering protocols. So, in the second part of this paper we show how our distributed Link Quality based d- Clustering Protocol (LQI-DCP has good performance in both stable and high unreliable link environments. Finally, performance evaluation results also show that LQI-DCP fully supports the grid deployment topology and is more energy efficient than MaxMin.

Construction and application of Red5 cluster based on OpenStack

Science.gov (United States)

Wang, Jiaqing; Song, Jianxin

2017-08-01

With the application and development of cloud computing technology in various fields, the resource utilization rate of the data center has been improved obviously, and the system based on cloud computing platform has also improved the expansibility and stability. In the traditional way, Red5 cluster resource utilization is low and the system stability is poor. This paper uses cloud computing to efficiently calculate the resource allocation ability, and builds a Red5 server cluster based on OpenStack. Multimedia applications can be published to the Red5 cloud server cluster. The system achieves the flexible construction of computing resources, but also greatly improves the stability of the cluster and service efficiency.

Improving Early Adolescent Girls' Motor Skill: A Cluster Randomized Controlled Trial.

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Lander, Natalie; Morgan, Philip J; Salmon, J O; Barnett, Lisa M

2017-12-01

Physical activity (PA) levels decline substantially during adolescence and are consistently lower in girls. Competency in a range of fundamental movement skills (FMSs) may serve as a protective factor for the decline in PA typically observed in adolescent girls; yet, girls' mastery in FMS is low. Although interventions can improve FMS, there is a lack of interventions targeting girls, and very few are conducted in high schools. In addition, interventions are usually conducted by researchers, not teachers, and thus have little chance of being embedded into curricula. This study aimed to evaluate the effectiveness of a school-based intervention, delivered by teachers, in improving adolescent girls' FMS. Four all-girls Australian secondary schools were recruited and randomized into intervention or control groups. In total, 190 year 7 girls (103 control/87 intervention; mean age, 12.4 ± 0.3 yr) completed baseline and posttest measures at 12 wk. Six FMS (i.e., catch, throw, kick, jump, leap, and dodge) were measured using the Victorian FMS Assessment instrument. Mixed models with posttest skill (i.e., locomotor, object control, and total skill) as the outcome, adjusting for baseline skill, intervention and control status, and relevant covariates, as well as accounting for clustering at school and class level, were used to assess the intervention impact. There were significant intervention effects, and large effect sizes (Cohen d) noted in locomotor (P = 0.04, t = 5.15, d = 1.6), object control (P < 0.001, t = 11.06, d = 0.83), and total skill (P = 0.02, t = 7.22, d = 1.36). Teachers adequately trained in authentic assessment and student-centered instruction can significantly improve the FMS competency of early adolescent girls. Therefore, comprehensive teacher training should be viewed as an integral component of future school-based interventions.

Projected coupled cluster theory.

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Qiu, Yiheng; Henderson, Thomas M; Zhao, Jinmo; Scuseria, Gustavo E

2017-08-14

Coupled cluster theory is the method of choice for weakly correlated systems. But in the strongly correlated regime, it faces a symmetry dilemma, where it either completely fails to describe the system or has to artificially break certain symmetries. On the other hand, projected Hartree-Fock theory captures the essential physics of many kinds of strong correlations via symmetry breaking and restoration. In this work, we combine and try to retain the merits of these two methods by applying symmetry projection to broken symmetry coupled cluster wave functions. The non-orthogonal nature of states resulting from the application of symmetry projection operators furnishes particle-hole excitations to all orders, thus creating an obstacle for the exact evaluation of overlaps. Here we provide a solution via a disentanglement framework theory that can be approximated rigorously and systematically. Results of projected coupled cluster theory are presented for molecules and the Hubbard model, showing that spin projection significantly improves unrestricted coupled cluster theory while restoring good quantum numbers. The energy of projected coupled cluster theory reduces to the unprojected one in the thermodynamic limit, albeit at a much slower rate than projected Hartree-Fock.

A Review of Subsequence Time Series Clustering

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Seyedjamal Zolhavarieh

2014-01-01

Full Text Available Clustering of subsequence time series remains an open issue in time series clustering. Subsequence time series clustering is used in different fields, such as e-commerce, outlier detection, speech recognition, biological systems, DNA recognition, and text mining. One of the useful fields in the domain of subsequence time series clustering is pattern recognition. To improve this field, a sequence of time series data is used. This paper reviews some definitions and backgrounds related to subsequence time series clustering. The categorization of the literature reviews is divided into three groups: preproof, interproof, and postproof period. Moreover, various state-of-the-art approaches in performing subsequence time series clustering are discussed under each of the following categories. The strengths and weaknesses of the employed methods are evaluated as potential issues for future studies.

A review of subsequence time series clustering.

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Zolhavarieh, Seyedjamal; Aghabozorgi, Saeed; Teh, Ying Wah

2014-01-01

Clustering of subsequence time series remains an open issue in time series clustering. Subsequence time series clustering is used in different fields, such as e-commerce, outlier detection, speech recognition, biological systems, DNA recognition, and text mining. One of the useful fields in the domain of subsequence time series clustering is pattern recognition. To improve this field, a sequence of time series data is used. This paper reviews some definitions and backgrounds related to subsequence time series clustering. The categorization of the literature reviews is divided into three groups: preproof, interproof, and postproof period. Moreover, various state-of-the-art approaches in performing subsequence time series clustering are discussed under each of the following categories. The strengths and weaknesses of the employed methods are evaluated as potential issues for future studies.

A Review of Subsequence Time Series Clustering

Science.gov (United States)

Teh, Ying Wah

2014-01-01

Clustering of subsequence time series remains an open issue in time series clustering. Subsequence time series clustering is used in different fields, such as e-commerce, outlier detection, speech recognition, biological systems, DNA recognition, and text mining. One of the useful fields in the domain of subsequence time series clustering is pattern recognition. To improve this field, a sequence of time series data is used. This paper reviews some definitions and backgrounds related to subsequence time series clustering. The categorization of the literature reviews is divided into three groups: preproof, interproof, and postproof period. Moreover, various state-of-the-art approaches in performing subsequence time series clustering are discussed under each of the following categories. The strengths and weaknesses of the employed methods are evaluated as potential issues for future studies. PMID:25140332

Time expansion chamber and single ionization cluster measurement

International Nuclear Information System (INIS)

Walenta, A.H.

1978-10-01

The time expansion chamber (TEC), a new type of drift chamber, allows the measurement of microscopic details of ionization. The mean drift time interval from subsequent sngle ionization clusters of a relativistic particle in the TEC can be made large enough compared to the width of a anode signal to allow the recording of the clusters separately. Since single primary electrons can be detected, the cluster counting would allow an improved particle separation using the relativistic rise of primary ionization. In another application, very high position accuracy for track detectors or improved energy resolution may be obtained. Basic ionization phenomena and drift properties can be measured at the single electron level

Palladium clusters deposited on the heterogeneous substrates

Energy Technology Data Exchange (ETDEWEB)

Wang, Kun, E-mail: cqdxwk@126.com [College of Power Engineering, Chongqing University, Chongqing 400044 (China); Key Laboratory of Low-grade Energy Utilization Technologies and Systems, Ministry of Education of PRC, Chongqing 400044 (China); Liu, Juanfang, E-mail: juanfang@cqu.edu.cn [College of Power Engineering, Chongqing University, Chongqing 400044 (China); Key Laboratory of Low-grade Energy Utilization Technologies and Systems, Ministry of Education of PRC, Chongqing 400044 (China); Chen, Qinghua, E-mail: qhchen@cqu.edu.cn [College of Power Engineering, Chongqing University, Chongqing 400044 (China); Key Laboratory of Low-grade Energy Utilization Technologies and Systems, Ministry of Education of PRC, Chongqing 400044 (China)

2016-07-15

Graphical abstract: The site-exchange between the substrate and cluster atoms can result in the formation of the surface alloys and the reconstruction of the cluster structure before the collision system approaching the thermal equilibrium. The deposited cluster adjusted the atom arrangement as possibly as to match the substrate lattice arrangement from bottom to up. The structural reconstruction is accompanied by the system potential energy minimization. - Highlights: • The deposition process can divide explicitly into three stages: adsorption, collision, relaxation. • The local melt does not emerge inside the substrate during the deposition process. • Surface alloys are formed by the site-exchange between the cluster and substrate atoms. • The cluster reconstructs the atom arrangement following as the substrate lattice arrangement from bottom to up. • The structural reconstruction ability and scope depend on the cluster size and incident energy. - Abstract: To improve the performance of the Pd composite membrane prepared by the cold spraying technology, it is extremely essential to give insights into the deposition process of the cluster and the heterogeneous deposition of the big Pd cluster at the different incident velocities on the atomic level. The deposition behavior, morphologies, energetic and interfacial configuration were examined by the molecular dynamic simulation and characterized by the cluster flattening ratio, the substrate maximum local temperature, the atom-embedded layer number and the surface-alloy formation. According to the morphology evolution, three deposition stages and the corresponding structural and energy evolution were clearly identified. The cluster deformation and penetrating depth increased with the enhancement of the incident velocity, but the increase degree also depended on the substrate hardness. The interfacial interaction between the cluster and the substrate can be improved by the higher substrate local temperature

The challenge of assessing social dimensions of avoided deforestation: Examples from Cambodia

Energy Technology Data Exchange (ETDEWEB)

Pasgaard, M., E-mail: mase@life.ku.dk

2013-01-15

Reduced Emissions from Deforestation and Forest Degradation in developing countries (REDD +) has moved to the central stage of the climate change debate by being promoted as a significant, cheap, and quick win-win strategy to reduce greenhouse gas emissions and thereby mitigate climate change. In order to be successful in reducing emissions while providing the projected social and environmental co-benefits, REDD + needs to overcome key challenges of insecure forest tenure and inequity in the distribution of benefits. Such challenges threaten to affect the livelihoods and well-being in the local communities and in turn the effectiveness of REDD+. While REDD + programs will affect the participating communities, there is limited knowledge as to what social impacts these projects may bring to the local population. Similarly, assessment of these social dimensions has received little attention until recently, and is consequently out of sync with the realities of REDD + projects. The present paper aims to shed light on the methodological and contextual challenges in the assessment of the social dimensions of REDD+. Some of the main social concerns of REDD + are outlined with an emphasis on the uniqueness and complexity of REDD + interventions. Recently proposed approaches to assess social impacts in REDD + are critically assessed in terms of the diversity of frameworks proposed, choice of social indicators, and data collection requirements. Specifically, these methodological implications are further discussed in the light of the social dimensions and the prescribed regulations of REDD + in a Cambodian context. - Highlights: Black-Right-Pointing-Pointer Insecure tenure and inequitable benefit sharing are main social concerns in REDD +. Black-Right-Pointing-Pointer Two guides to social assessments in REDD + are critically reviewed. Black-Right-Pointing-Pointer Mismatch between social assessment requirements and the reality of REDD + is analyzed. Black

Customer Clustering Based on Customer Purchasing Sequence Data

OpenAIRE

Yen-Chung Liu; Yen-Liang Chen

2017-01-01

Customer clustering has become a priority for enterprises because of the importance of customer relationship management. Customer clustering can improve understanding of the composition and characteristics of customers, thereby enabling the creation of appropriate marketing strategies for each customer group. Previously, different customer clustering approaches have been proposed according to data type, namely customer profile data, customer value data, customer transaction data, and customer...

REDD+ and climate smart agriculture in landscapes: A case study in Vietnam using companion modelling.

Science.gov (United States)

Salvini, G; Ligtenberg, A; van Paassen, A; Bregt, A K; Avitabile, V; Herold, M

2016-05-01

Finding land use strategies that merge land-based climate change mitigation measures and adaptation strategies is still an open issue in climate discourse. This article explores synergies and trade-offs between REDD+, a scheme that focuses mainly on mitigation through forest conservation, with "Climate Smart Agriculture", an approach that emphasizes adaptive agriculture. We introduce a framework for ex-ante assessment of the impact of land management policies and interventions and for quantifying their impacts on land-based mitigation and adaptation goals. The framework includes a companion modelling (ComMod) process informed by interviews with policymakers, local experts and local farmers. The ComMod process consists of a Role-Playing Game with local farmers and an Agent Based Model. The game provided a participatory means to develop policy and climate change scenarios. These scenarios were then used as inputs to the Agent Based Model, a spatially explicit model to simulate landscape dynamics and the associated carbon emissions over decades. We applied the framework using as case study a community in central Vietnam, characterized by deforestation for subsistence agriculture and cultivation of acacias as a cash crop. The main findings show that the framework is useful in guiding consideration of local stakeholders' goals, needs and constraints. Additionally the framework provided beneficial information to policymakers, pointing to ways that policies might be re-designed to make them better tailored to local circumstances and therefore more effective in addressing synergistically climate change mitigation and adaptation objectives. Copyright © 2015 Elsevier Ltd. All rights reserved.

A cluster-randomized controlled study to evaluate a team coaching concept for improving teamwork and patient-centeredness in rehabilitation teams.

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Mirjam Körner

Full Text Available Although the relevance of interprofessional teamwork in the delivery of patient-centered care is well known, there is a lack of interventions for improving team interaction in the context of rehabilitation in Germany. The aim of the present study is to evaluate whether a specially developed team coaching concept (TCC could improve both teamwork and patient-centeredness.A multicenter, cluster-randomized controlled intervention study was conducted with both staff and patient questionnaires. Data was collected at ten German rehabilitation clinics (five clusters of different indication fields before (t1 and after (t2 the intervention. Intervention clinics received the TCC, while control clinics did not receive any treatment. Staff questionnaires were used to measure internal participation and other aspects of teamwork, such as team organization, while patient questionnaires assessed patient-centeredness. A multivariate analysis of variance was applied for data analysis.In order to analyze the effect of TCC on internal participation and teamwork, 305 questionnaires were included for t1 and 213 for t2 in the staff survey. In the patient survey, 523 questionnaires were included for t1 and 545 for t2. The TCC improved team organization, willingness to accept responsibility and knowledge integration according to staff, with small effect sizes (univariate: η2=.010-.017, whereas other parameters including internal participation, team leadership and cohesion did not improve due to the intervention. The patient survey did not show any improvements on the assessed dimensions.The TCC improved dimensions that were addressed directly by the approach and were linked to the clinics' needs, such as restructured team meetings and better exchange of information. The TCC can be used to improve team organization, willingness to accept responsibility, and knowledge integration in rehabilitation practice, but some further evaluation is needed to understand contextual

A cluster-randomized controlled study to evaluate a team coaching concept for improving teamwork and patient-centeredness in rehabilitation teams.

Science.gov (United States)

Körner, Mirjam; Luzay, Leonie; Plewnia, Anne; Becker, Sonja; Rundel, Manfred; Zimmermann, Linda; Müller, Christian

2017-01-01

Although the relevance of interprofessional teamwork in the delivery of patient-centered care is well known, there is a lack of interventions for improving team interaction in the context of rehabilitation in Germany. The aim of the present study is to evaluate whether a specially developed team coaching concept (TCC) could improve both teamwork and patient-centeredness. A multicenter, cluster-randomized controlled intervention study was conducted with both staff and patient questionnaires. Data was collected at ten German rehabilitation clinics (five clusters) of different indication fields before (t1) and after (t2) the intervention. Intervention clinics received the TCC, while control clinics did not receive any treatment. Staff questionnaires were used to measure internal participation and other aspects of teamwork, such as team organization, while patient questionnaires assessed patient-centeredness. A multivariate analysis of variance was applied for data analysis. In order to analyze the effect of TCC on internal participation and teamwork, 305 questionnaires were included for t1 and 213 for t2 in the staff survey. In the patient survey, 523 questionnaires were included for t1 and 545 for t2. The TCC improved team organization, willingness to accept responsibility and knowledge integration according to staff, with small effect sizes (univariate: η2=.010-.017), whereas other parameters including internal participation, team leadership and cohesion did not improve due to the intervention. The patient survey did not show any improvements on the assessed dimensions. The TCC improved dimensions that were addressed directly by the approach and were linked to the clinics' needs, such as restructured team meetings and better exchange of information. The TCC can be used to improve team organization, willingness to accept responsibility, and knowledge integration in rehabilitation practice, but some further evaluation is needed to understand contextual factors and

Cluster strategies in the regional economy development: legal aspects

Directory of Open Access Journals (Sweden)

Irina V. Mikheeva

2016-09-01

Full Text Available Objective to study the state of legal support of the cluster strategies implementation to identify the problems and possible directions for improving the legal support of cluster development in the regions. Methods systemic structuralfunctional induction and deduction analysis and synthesis formal legal. Results the paper formulates the definition of cluster as a form of cooperative interaction of organizations interacting in some economic sphere due to functional dependence complementing each other and reinforcing the competitive advantages of individual companies. The hypothesis is proposed that the organizational and management structure of clusters should be unified and obtain normative fixation so that the same type of bodies including executive bodies and the structure of the different clusters deliberative specialized organizations organizationcoordinator etc. had similar competence and position in the management hierarchy. Scientific novelty following the most general conception of a cluster as interacting institutions in a specific area one can see that the lack of clarity in the legal support of the clusters functioning does not allow to determine the status of authoritative and nonauthoritative subjects of economic activities their organizationallegal forms and the procedure of their interaction. Practical significance the identified problems of legal support of the cluster strategies implementation can help in the improvement of state regulation of cluster relations in the regions and their implementation.

A fuzzy logic based clustering strategy for improving vehicular ad ...

Indian Academy of Sciences (India)

with safety and other information, and provide some services such as .... et al 2013) due to direction parameter taken into account (for two-way ... eters for decision making of cluster head in order to optimize CH selection process is the first time ...

Ant Colony Clustering Algorithm and Improved Markov Random Fusion Algorithm in Image Segmentation of Brain Images

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Guohua Zou

2016-12-01

Full Text Available New medical imaging technology, such as Computed Tomography and Magnetic Resonance Imaging (MRI, has been widely used in all aspects of medical diagnosis. The purpose of these imaging techniques is to obtain various qualitative and quantitative data of the patient comprehensively and accurately, and provide correct digital information for diagnosis, treatment planning and evaluation after surgery. MR has a good imaging diagnostic advantage for brain diseases. However, as the requirements of the brain image definition and quantitative analysis are always increasing, it is necessary to have better segmentation of MR brain images. The FCM (Fuzzy C-means algorithm is widely applied in image segmentation, but it has some shortcomings, such as long computation time and poor anti-noise capability. In this paper, firstly, the Ant Colony algorithm is used to determine the cluster centers and the number of FCM algorithm so as to improve its running speed. Then an improved Markov random field model is used to improve the algorithm, so that its antinoise ability can be improved. Experimental results show that the algorithm put forward in this paper has obvious advantages in image segmentation speed and segmentation effect.

Brightest Cluster Galaxies in REXCESS Clusters

Science.gov (United States)

Haarsma, Deborah B.; Leisman, L.; Bruch, S.; Donahue, M.

2009-01-01

Most galaxy clusters contain a Brightest Cluster Galaxy (BCG) which is larger than the other cluster ellipticals and has a more extended profile. In the hierarchical model, the BCG forms through many galaxy mergers in the crowded center of the cluster, and thus its properties give insight into the assembly of the cluster as a whole. In this project, we are working with the Representative XMM-Newton Cluster Structure Survey (REXCESS) team (Boehringer et al 2007) to study BCGs in 33 X-ray luminous galaxy clusters, 0.055 < z < 0.183. We are imaging the BCGs in R band at the Southern Observatory for Astrophysical Research (SOAR) in Chile. In this poster, we discuss our methods and give preliminary measurements of the BCG magnitudes, morphology, and stellar mass. We compare these BCG properties with the properties of their host clusters, particularly of the X-ray emitting gas.

Effectiveness of the Spirometry 360 Quality Improvement Program for Improving Asthma Care: A Cluster Randomized Trial.

Science.gov (United States)

Mangione-Smith, Rita; Zhou, Chuan; Corwin, Michael J; Taylor, James A; Rice, Fiona; Stout, James W

To determine the effectiveness of the Spirometry 360 distance learning quality improvement (QI) program for enhancing the processes and outcomes of care for children with asthma. Cluster randomized controlled trial involving 25 matched pairs of pediatric primary care practices. Practices were recruited from 2 practice-based research networks: the Slone Center Office-based Research Network at Boston University, Boston, Mass, and the Puget Sound Pediatric Research Network, Seattle, Wash. Study participants included providers from one of the 50 enrolled pediatric practices and 626 of their patients with asthma. Process measures assessed included spirometry test quality and appropriate prescription of asthma controller medications. Outcome measures included asthma-specific health-related quality of life, and outpatient, emergency department, and inpatient utilization for asthma. At baseline, 25.4% of spirometry tests performed in control practices and 50.4% of tests performed in intervention practices were of high quality. During the 6-month postintervention period, 28.7% of spirometry tests performed in control practices and 49.9% of tests performed in intervention practices were of high quality. The adjusted difference-of-differences analysis revealed no intervention effect on spirometry test quality. Adjusted differences-of-differences analysis also revealed no intervention effect on appropriate use of controller medications or any of the parent- or patient-reported outcomes examined. In this study, the Spirometry 360 distance learning QI program was ineffective in improving spirometry test quality or parent- or patient-reported outcomes. QI programs like the one assessed here may need to focus on practices with lower baseline performance levels or may need to be tailored for those with higher baseline performance. Copyright © 2017 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

Towards Urban High-technolgy Clusters: An International Comparison

Directory of Open Access Journals (Sweden)

Júlia Bosch

2012-01-01

Full Text Available This paper presents the results of a comparative study of 23 urban or regional high-technology clusters (media, ICT, energy, biotechnology all over the world, analyzing how they were created, how they are managed and how they operate, and the strategies followed to improve and excel in their fields of action. Special attention is given to issues related to descriptive aspects, R&D, performance of the clusters, location factors and incentives to attract companies. The empirical analysis applied to the identified clusters was done through a questionnaire sent to the representatives of the cluster’s management. When analyzing the data, the study has combined quantitative and qualitative methods, depending on the information to be processed. The data collection was done through a selection of indicators chosen in order to cover the different elements that cluster literature coincide in consider essential to develop a competitive economic cluster in urban regions. The main obstacle we find with the information available to carry out this study has been its heterogeneity and different quality of the data. 22@Barcelona appears to be in a good position to compete with other excelling clusters, but it still needs to improve in areas such as financial supply for R&D and start-ups and coordination between the different actors involved in urban economic development. Our research also contributes to the discussion on the role of public institutions in the cluster development policies. In the clusters studied here, especially in Barcelona, we have seen that a capable and resourceful public administration can determine the success of the cluster initiative.

Metal cluster compounds - chemistry and importance; clusters containing isolated main group element atoms, large metal cluster compounds, cluster fluxionality

International Nuclear Information System (INIS)

Walther, B.

1988-01-01

This part of the review on metal cluster compounds deals with clusters containing isolated main group element atoms, with high nuclearity clusters and metal cluster fluxionality. It will be obvious that main group element atoms strongly influence the geometry, stability and reactivity of the clusters. High nuclearity clusters are of interest in there own due to the diversity of the structures adopted, but their intermediate position between molecules and the metallic state makes them a fascinating research object too. These both sites of the metal cluster chemistry as well as the frequently observed ligand and core fluxionality are related to the cluster metal and surface analogy. (author)

DOCUMENT REPRESENTATION FOR CLUSTERING OF SCIENTIFIC ABSTRACTS

Directory of Open Access Journals (Sweden)

S. V. Popova

2014-01-01

Full Text Available The key issue of the present paper is clustering of narrow-domain short texts, such as scientific abstracts. The work is based on the observations made when improving the performance of key phrase extraction algorithm. An extended stop-words list was used that was built automatically for the purposes of key phrase extraction and gave the possibility for a considerable quality enhancement of the phrases extracted from scientific publications. A description of the stop- words list creation procedure is given. The main objective is to investigate the possibilities to increase the performance and/or speed of clustering by the above-mentioned list of stop-words as well as information about lexeme parts of speech. In the latter case a vocabulary is applied for the document representation, which contains not all the words that occurred in the collection, but only nouns and adjectives or their sequences encountered in the documents. Two base clustering algorithms are applied: k-means and hierarchical clustering (average agglomerative method. The results show that the use of an extended stop-words list and adjective-noun document representation makes it possible to improve the performance and speed of k-means clustering. In a similar case for average agglomerative method a decline in performance quality may be observed. It is shown that the use of adjective-noun sequences for document representation lowers the clustering quality for both algorithms and can be justified only when a considerable reduction of feature space dimensionality is necessary.

CHANDRA CLUSTER COSMOLOGY PROJECT III: COSMOLOGICAL PARAMETER CONSTRAINTS

International Nuclear Information System (INIS)

Vikhlinin, A.; Forman, W. R.; Jones, C.; Murray, S. S.; Kravtsov, A. V.; Burenin, R. A.; Voevodkin, A.; Ebeling, H.; Hornstrup, A.; Nagai, D.; Quintana, H.

2009-01-01

Chandra observations of large samples of galaxy clusters detected in X-rays by ROSAT provide a new, robust determination of the cluster mass functions at low and high redshifts. Statistical and systematic errors are now sufficiently small, and the redshift leverage sufficiently large for the mass function evolution to be used as a useful growth of a structure-based dark energy probe. In this paper, we present cosmological parameter constraints obtained from Chandra observations of 37 clusters with (z) = 0.55 derived from 400 deg 2 ROSAT serendipitous survey and 49 brightest z ∼ 0.05 clusters detected in the All-Sky Survey. Evolution of the mass function between these redshifts requires Ω Λ > 0 with a ∼5σ significance, and constrains the dark energy equation-of-state parameter to w 0 = -1.14 ± 0.21, assuming a constant w and a flat universe. Cluster information also significantly improves constraints when combined with other methods. Fitting our cluster data jointly with the latest supernovae, Wilkinson Microwave Anisotropy Probe, and baryonic acoustic oscillation measurements, we obtain w 0 = -0.991 ± 0.045 (stat) ±0.039 (sys), a factor of 1.5 reduction in statistical uncertainties, and nearly a factor of 2 improvement in systematics compared with constraints that can be obtained without clusters. The joint analysis of these four data sets puts a conservative upper limit on the masses of light neutrinos Σm ν M h and σ 8 from the low-redshift cluster mass function.

Computer simulation of defect cluster

Energy Technology Data Exchange (ETDEWEB)

Kuramoto, Eiichi [Kyushu Univ., Kasuga, Fukuoka (Japan). Research Inst. for Applied Mechanics

1996-04-01

In order to elucidate individual element process of various defects and defect clusters of used materials under irradiation environments, interatomic potential with reliability was investigated. And for comparison with experimental results, it is often required to adopt the temperature effect and to investigate in details mechanism of one dimensional motion of micro conversion loop and so forth using the molecular dynamic (MD) method. Furthermore, temperature effect is also supposed for stable structure of defects and defect clusters, and many problems relating to alloy element are also remained. And, simulation on photon life at the defects and defect clusters thought to be important under comparison with equipment can also be supposed an improvement of effectiveness due to relation to theses products. In this paper, some topics in such flow was extracted to explain them. In particular, future important problems will be potential preparation of alloy, structure, dynamic behavior and limited temperature of intralattice atomic cluster. (G.K.)

Synchronous Firefly Algorithm for Cluster Head Selection in WSN

Directory of Open Access Journals (Sweden)

Madhusudhanan Baskaran

2015-01-01

Full Text Available Wireless Sensor Network (WSN consists of small low-cost, low-power multifunctional nodes interconnected to efficiently aggregate and transmit data to sink. Cluster-based approaches use some nodes as Cluster Heads (CHs and organize WSNs efficiently for aggregation of data and energy saving. A CH conveys information gathered by cluster nodes and aggregates/compresses data before transmitting it to a sink. However, this additional responsibility of the node results in a higher energy drain leading to uneven network degradation. Low Energy Adaptive Clustering Hierarchy (LEACH offsets this by probabilistically rotating cluster heads role among nodes with energy above a set threshold. CH selection in WSN is NP-Hard as optimal data aggregation with efficient energy savings cannot be solved in polynomial time. In this work, a modified firefly heuristic, synchronous firefly algorithm, is proposed to improve the network performance. Extensive simulation shows the proposed technique to perform well compared to LEACH and energy-efficient hierarchical clustering. Simulations show the effectiveness of the proposed method in decreasing the packet loss ratio by an average of 9.63% and improving the energy efficiency of the network when compared to LEACH and EEHC.

Cluster Tracking with Time-of-Flight Cameras

DEFF Research Database (Denmark)

Hansen, Dan Witzner; Hansen, Mads; Kirschmeyer, Martin

2008-01-01

We describe a method for tracking people using a time-of-flight camera and apply the method for persistent authentication in a smart-environment. A background model is built by fusing information from intensity and depth images. While a geometric constraint is employed to improve pixel cluster...... coherence and reducing the influence of noise, the EM algorithm (expectation maximization) is used for tracking moving clusters of pixels significantly different from the background model. Each cluster is defined through a statistical model of points on the ground plane. We show the benefits of the time...

Data clustering in C++ an object-oriented approach

CERN Document Server

Gan, Guojun

2011-01-01

Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct. Thousands of theoretical papers and a number of books on data clustering have been published over the past 50 years. However, few books exist to teach people how to implement data clustering algorithms. This book was written for anyone who wants to implement or improve their data clustering algorithms. Using object-oriented design and programming techniques, Data Clusterin

A Dynamic Fuzzy Cluster Algorithm for Time Series

Directory of Open Access Journals (Sweden)

Min Ji

2013-01-01

clustering time series by introducing the definition of key point and improving FCM algorithm. The proposed algorithm works by determining those time series whose class labels are vague and further partitions them into different clusters over time. The main advantage of this approach compared with other existing algorithms is that the property of some time series belonging to different clusters over time can be partially revealed. Results from simulation-based experiments on geographical data demonstrate the excellent performance and the desired results have been obtained. The proposed algorithm can be applied to solve other clustering problems in data mining.

PREFACE: Nuclear Cluster Conference; Cluster'07

Science.gov (United States)

Freer, Martin

2008-05-01

The Cluster Conference is a long-running conference series dating back to the 1960's, the first being initiated by Wildermuth in Bochum, Germany, in 1969. The most recent meeting was held in Nara, Japan, in 2003, and in 2007 the 9th Cluster Conference was held in Stratford-upon-Avon, UK. As the name suggests the town of Stratford lies upon the River Avon, and shortly before the conference, due to unprecedented rainfall in the area (approximately 10 cm within half a day), lay in the River Avon! Stratford is the birthplace of the `Bard of Avon' William Shakespeare, and this formed an intriguing conference backdrop. The meeting was attended by some 90 delegates and the programme contained 65 70 oral presentations, and was opened by a historical perspective presented by Professor Brink (Oxford) and closed by Professor Horiuchi (RCNP) with an overview of the conference and future perspectives. In between, the conference covered aspects of clustering in exotic nuclei (both neutron and proton-rich), molecular structures in which valence neutrons are exchanged between cluster cores, condensates in nuclei, neutron-clusters, superheavy nuclei, clusters in nuclear astrophysical processes and exotic cluster decays such as 2p and ternary cluster decay. The field of nuclear clustering has become strongly influenced by the physics of radioactive beam facilities (reflected in the programme), and by the excitement that clustering may have an important impact on the structure of nuclei at the neutron drip-line. It was clear that since Nara the field had progressed substantially and that new themes had emerged and others had crystallized. Two particular topics resonated strongly condensates and nuclear molecules. These topics are thus likely to be central in the next cluster conference which will be held in 2011 in the Hungarian city of Debrechen. Martin Freer Participants and Cluster'07

Kappa statistic for clustered matched-pair data.

Science.gov (United States)

Yang, Zhao; Zhou, Ming

2014-07-10

Kappa statistic is widely used to assess the agreement between two procedures in the independent matched-pair data. For matched-pair data collected in clusters, on the basis of the delta method and sampling techniques, we propose a nonparametric variance estimator for the kappa statistic without within-cluster correlation structure or distributional assumptions. The results of an extensive Monte Carlo simulation study demonstrate that the proposed kappa statistic provides consistent estimation and the proposed variance estimator behaves reasonably well for at least a moderately large number of clusters (e.g., K ≥50). Compared with the variance estimator ignoring dependence within a cluster, the proposed variance estimator performs better in maintaining the nominal coverage probability when the intra-cluster correlation is fair (ρ ≥0.3), with more pronounced improvement when ρ is further increased. To illustrate the practical application of the proposed estimator, we analyze two real data examples of clustered matched-pair data. Copyright © 2014 John Wiley & Sons, Ltd.

Improvement of activity and stability of Chondroitinase ABC I by introducing an aromatic cluster at the surface of protein.

Science.gov (United States)

Shahaboddin, Mohammad Esmaeil; Khajeh, Khosro; Maleki, Monireh; Golestani, Abolfazl

2017-10-01

Chondroitinase ABC I (ChABC I) has been shown to depolymerize a variety of glycosaminoglycan substrates and promote regeneration of damaged spinal cord. However, to date, intrathecal delivery methods have been suboptimal largely due to enzyme instability which necessitates repeated administration to the injured loci. Among the aromatic amino acids, tyrosine has been shown to be more effective in creation of stable clusters and further stabilize of the proteins. Bioinformatics approaches have been used to examine the effect of an extra aromatic cluster at the surface of ChABC I. In this study two amino acids i.e., Asn 806 and Gln 810 were mutated to tyrosine and to alanine as negative control. In this way, four variants i.e., N806Y/Q810Y, N806A/Q810Y, N806Y/Q810A and N806A/Q810A were created. The results showed that N806Y/Q810Y mutation improved both activity and thermal stability of the enzyme while Ala substitution reduced the enzyme activity and destabilized it. Structural analysis of mutants showed an increase in intrinsic fluorescence intensity and secondary structure content of N806Y/Q810Y mutant when compared to the wild type enzyme indicating a more rigid structure of this variant. Moreover, the N806Y/Q810Y enzyme displayed a remarkable resistance against trypsin degradation with a half-life (t 1/2 ) of 45.0min versus 32.5min of wild-type. In conclusion, the data revealed that structural features and activity of ChABC I can be improved by introducing appropriate aromatic clusters at the surface of the enzyme. Copyright © 2017 Elsevier Inc. All rights reserved.

Information Filtering via Clustering Coefficients of User-Object Bipartite Networks

Science.gov (United States)

Guo, Qiang; Leng, Rui; Shi, Kerui; Liu, Jian-Guo

The clustering coefficient of user-object bipartite networks is presented to evaluate the overlap percentage of neighbors rating lists, which could be used to measure interest correlations among neighbor sets. The collaborative filtering (CF) information filtering algorithm evaluates a given user's interests in terms of his/her friends' opinions, which has become one of the most successful technologies for recommender systems. In this paper, different from the object clustering coefficient, users' clustering coefficients of user-object bipartite networks are introduced to improve the user similarity measurement. Numerical results for MovieLens and Netflix data sets show that users' clustering effects could enhance the algorithm performance. For MovieLens data set, the algorithmic accuracy, measured by the average ranking score, can be improved by 12.0% and the diversity could be improved by 18.2% and reach 0.649 when the recommendation list equals to 50. For Netflix data set, the accuracy could be improved by 14.5% at the optimal case and the popularity could be reduced by 13.4% comparing with the standard CF algorithm. Finally, we investigate the sparsity effect on the performance. This work indicates the user clustering coefficients is an effective factor to measure the user similarity, meanwhile statistical properties of user-object bipartite networks should be investigated to estimate users' tastes.

Formation of stable products from cluster-cluster collisions

International Nuclear Information System (INIS)

Alamanova, Denitsa; Grigoryan, Valeri G; Springborg, Michael

2007-01-01

The formation of stable products from copper cluster-cluster collisions is investigated by using classical molecular-dynamics simulations in combination with an embedded-atom potential. The dependence of the product clusters on impact energy, relative orientation of the clusters, and size of the clusters is studied. The structures and total energies of the product clusters are analysed and compared with those of the colliding clusters before impact. These results, together with the internal temperature, are used in obtaining an increased understanding of cluster fusion processes

A method for improved clustering and classification of microscopy images using quantitative co-localization coefficients

LENUS (Irish Health Repository)

Singan, Vasanth R

2012-06-08

AbstractBackgroundThe localization of proteins to specific subcellular structures in eukaryotic cells provides important information with respect to their function. Fluorescence microscopy approaches to determine localization distribution have proved to be an essential tool in the characterization of unknown proteins, and are now particularly pertinent as a result of the wide availability of fluorescently-tagged constructs and antibodies. However, there are currently very few image analysis options able to effectively discriminate proteins with apparently similar distributions in cells, despite this information being important for protein characterization.FindingsWe have developed a novel method for combining two existing image analysis approaches, which results in highly efficient and accurate discrimination of proteins with seemingly similar distributions. We have combined image texture-based analysis with quantitative co-localization coefficients, a method that has traditionally only been used to study the spatial overlap between two populations of molecules. Here we describe and present a novel application for quantitative co-localization, as applied to the study of Rab family small GTP binding proteins localizing to the endomembrane system of cultured cells.ConclusionsWe show how quantitative co-localization can be used alongside texture feature analysis, resulting in improved clustering of microscopy images. The use of co-localization as an additional clustering parameter is non-biased and highly applicable to high-throughput image data sets.

Participatory women's groups and counselling through home visits to improve child growth in rural eastern India: protocol for a cluster randomised controlled trial.

Science.gov (United States)

Nair, Nirmala; Tripathy, Prasanta; Sachdev, Harshpal S; Bhattacharyya, Sanghita; Gope, Rajkumar; Gagrai, Sumitra; Rath, Shibanand; Rath, Suchitra; Sinha, Rajesh; Roy, Swati Sarbani; Shewale, Suhas; Singh, Vijay; Srivastava, Aradhana; Pradhan, Hemanta; Costello, Anthony; Copas, Andrew; Skordis-Worrall, Jolene; Haghparast-Bidgoli, Hassan; Saville, Naomi; Prost, Audrey

2015-04-15

Child stunting (low height-for-age) is a marker of chronic undernutrition and predicts children's subsequent physical and cognitive development. Around one third of the world's stunted children live in India. Our study aims to assess the impact, cost-effectiveness, and scalability of a community intervention with a government-proposed community-based worker to improve growth in children under two in rural India. The study is a cluster randomised controlled trial in two rural districts of Jharkhand and Odisha (eastern India). The intervention tested involves a community-based worker carrying out two activities: (a) one home visit to all pregnant women in the third trimester, followed by subsequent monthly home visits to all infants aged 0-24 months to support appropriate feeding, infection control, and care-giving; (b) a monthly women's group meeting using participatory learning and action to catalyse individual and community action for maternal and child health and nutrition. Both intervention and control clusters also receive an intervention to strengthen Village Health Sanitation and Nutrition Committees. The unit of randomisation is a purposively selected cluster of approximately 1000 population. A total of 120 geographical clusters covering an estimated population of 121,531 were randomised to two trial arms: 60 clusters in the intervention arm receive home visits, group meetings, and support to Village Health Sanitation and Nutrition Committees; 60 clusters in the control arm receive support to Committees only. The study participants are pregnant women identified in the third trimester of pregnancy and their children (n = 2520). Mothers and their children are followed up at seven time points: during pregnancy, within 72 hours of delivery, and at 3, 6, 9, 12 and 18 months after birth. The trial's primary outcome is children's mean length-for-age Z scores at 18 months. Secondary outcomes include wasting and underweight at all time points, birth weight, growth

Ensuring and Improving Information Quality for Earth Science Data and Products: Role of the ESIP Information Quality Cluster

Science.gov (United States)

Ramapriyan, Hampapuram; Peng, Ge; Moroni, David; Shie, Chung-Lin

2016-01-01

Quality of products is always of concern to users regardless of the type of products. The focus of this paper is on the quality of Earth science data products. There are four different aspects of quality - scientific, product, stewardship and service. All these aspects taken together constitute Information Quality. With increasing requirement on ensuring and improving information quality, there has been considerable work related to information quality during the last several years. Given this rich background of prior work, the Information Quality Cluster (IQC), established within the Federation of Earth Science Information Partners (ESIP) has been active with membership from multiple organizations. Its objectives and activities, aimed at ensuring and improving information quality for Earth science data and products, are discussed briefly.

Ensuring and Improving Information Quality for Earth Science Data and Products Role of the ESIP Information Quality Cluster

Science.gov (United States)

Ramapriyan, H. K. (Rama); Peng, Ge; Moroni, David; Shie, Chung-Lin

2016-01-01

Quality of products is always of concern to users regardless of the type of products. The focus of this paper is on the quality of Earth science data products. There are four different aspects of quality scientific, product, stewardship and service. All these aspects taken together constitute Information Quality. With increasing requirement on ensuring and improving information quality, there has been considerable work related to information quality during the last several years. Given this rich background of prior work, the Information Quality Cluster (IQC), established within the Federation of Earth Science Information Partners (ESIP) has been active with membership from multiple organizations. Its objectives and activities, aimed at ensuring and improving information quality for Earth science data and products, are discussed briefly.

Involving patients in setting priorities for healthcare improvement: a cluster randomized trial.

Science.gov (United States)

Boivin, Antoine; Lehoux, Pascale; Lacombe, Réal; Burgers, Jako; Grol, Richard

2014-02-20

Patients are increasingly seen as active partners in healthcare. While patient involvement in individual clinical decisions has been extensively studied, no trial has assessed how patients can effectively be involved in collective healthcare decisions affecting the population. The goal of this study was to test the impact of involving patients in setting healthcare improvement priorities for chronic care at the community level. Cluster randomized controlled trial. Local communities were randomized in intervention (priority setting with patient involvement) and control sites (no patient involvement). Communities in a canadian region were required to set priorities for improving chronic disease management in primary care, from a list of 37 validated quality indicators. Patients were consulted in writing, before participating in face-to-face deliberation with professionals. Professionals established priorities among themselves, without patient involvement. A total of 172 individuals from six communities participated in the study, including 83 chronic disease patients, and 89 health professionals. The primary outcome was the level of agreement between patients' and professionals' priorities. Secondary outcomes included professionals' intention to use the selected quality indicators, and the costs of patient involvement. Priorities established with patients were more aligned with core generic components of the Medical Home and Chronic Care Model, including: access to primary care, self-care support, patient participation in clinical decisions, and partnership with community organizations (p Priorities established by professionals alone placed more emphasis on the technical quality of single disease management. The involvement intervention fostered mutual influence between patients and professionals, which resulted in a 41% increase in agreement on common priorities (95%CI: +12% to +58%, p priorities. Patient involvement can change priorities driving healthcare

Document clustering methods, document cluster label disambiguation methods, document clustering apparatuses, and articles of manufacture

Science.gov (United States)

Sanfilippo, Antonio [Richland, WA; Calapristi, Augustin J [West Richland, WA; Crow, Vernon L [Richland, WA; Hetzler, Elizabeth G [Kennewick, WA; Turner, Alan E [Kennewick, WA

2009-12-22

Document clustering methods, document cluster label disambiguation methods, document clustering apparatuses, and articles of manufacture are described. In one aspect, a document clustering method includes providing a document set comprising a plurality of documents, providing a cluster comprising a subset of the documents of the document set, using a plurality of terms of the documents, providing a cluster label indicative of subject matter content of the documents of the cluster, wherein the cluster label comprises a plurality of word senses, and selecting one of the word senses of the cluster label.

Fast large-scale clustering of protein structures using Gauss integrals

DEFF Research Database (Denmark)

Harder, Tim; Borg, Mikael; Boomsma, Wouter

2011-01-01

trajectories. Results: We present Pleiades, a novel approach to clustering protein structures with a rigorous mathematical underpinning. The method approximates clustering based on the root mean square deviation by rst mapping structures to Gauss integral vectors – which were introduced by Røgen and co......-workers – and subsequently performing K-means clustering. Conclusions: Compared to current methods, Pleiades dramatically improves on the time needed to perform clustering, and can cluster a signicantly larger number of structures, while providing state-ofthe- art results. The number of low energy structures generated...

Statistical mechanics of semi-supervised clustering in sparse graphs

International Nuclear Information System (INIS)

Ver Steeg, Greg; Galstyan, Aram; Allahverdyan, Armen E

2011-01-01

We theoretically study semi-supervised clustering in sparse graphs in the presence of pair-wise constraints on the cluster assignments of nodes. We focus on bi-cluster graphs and study the impact of semi-supervision for varying constraint density and overlap between the clusters. Recent results for unsupervised clustering in sparse graphs indicate that there is a critical ratio of within-cluster and between-cluster connectivities below which clusters cannot be recovered with better than random accuracy. The goal of this paper is to examine the impact of pair-wise constraints on the clustering accuracy. Our results suggest that the addition of constraints does not provide automatic improvement over the unsupervised case. When the density of the constraints is sufficiently small, their only impact is to shift the detection threshold while preserving the criticality. Conversely, if the density of (hard) constraints is above the percolation threshold, the criticality is suppressed and the detection threshold disappears

Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification (MRV) systems for REDD.

Science.gov (United States)

Mitchell, Anthea L; Rosenqvist, Ake; Mora, Brice

2017-12-01

Forest degradation is a global phenomenon and while being an important indicator and precursor to further forest loss, carbon emissions due to degradation should also be accounted for in national reporting within the frame of UN REDD+. At regional to country scales, methods have been progressively developed to detect and map forest degradation, with these based on multi-resolution optical, synthetic aperture radar (SAR) and/or LiDAR data. However, there is no one single method that can be applied to monitor forest degradation, largely due to the specific nature of the degradation type or process and the timeframe over which it is observed. The review assesses two main approaches to monitoring forest degradation: first, where detection is indicated by a change in canopy cover or proxies, and second, the quantification of loss (or gain) in above ground biomass (AGB). The discussion only considers degradation that has a visible impact on the forest canopy and is thus detectable by remote sensing. The first approach encompasses methods that characterise the type of degradation and track disturbance, detect gaps in, and fragmentation of, the forest canopy, and proxies that provide evidence of forestry activity. Progress in these topics has seen the extension of methods to higher resolution (both spatial and temporal) data to better capture the disturbance signal, distinguish degraded and intact forest, and monitor regrowth. Improvements in the reliability of mapping methods are anticipated by SAR-optical data fusion and use of very high resolution data. The second approach exploits EO sensors with known sensitivity to forest structure and biomass and discusses monitoring efforts using repeat LiDAR and SAR data. There has been progress in the capacity to discriminate forest age and growth stage using data fusion methods and LiDAR height metrics. Interferometric SAR and LiDAR have found new application in linking forest structure change to degradation in tropical forests

Microgrids Real-Time Pricing Based on Clustering Techniques

Directory of Open Access Journals (Sweden)

Hao Liu

2018-05-01

Full Text Available Microgrids are widely spreading in electricity markets worldwide. Besides the security and reliability concerns for these microgrids, their operators need to address consumers’ pricing. Considering the growth of smart grids and smart meter facilities, it is expected that microgrids will have some level of flexibility to determine real-time pricing for at least some consumers. As such, the key challenge is finding an optimal pricing model for consumers. This paper, accordingly, proposes a new pricing scheme in which microgrids are able to deploy clustering techniques in order to understand their consumers’ load profiles and then assign real-time prices based on their load profile patterns. An improved weighted fuzzy average k-means is proposed to cluster load curve of consumers in an optimal number of clusters, through which the load profile of each cluster is determined. Having obtained the load profile of each cluster, real-time prices are given to each cluster, which is the best price given to all consumers in that cluster.

Nuclear clustering - a cluster core model study

International Nuclear Information System (INIS)

Paul Selvi, G.; Nandhini, N.; Balasubramaniam, M.

2015-01-01

Nuclear clustering, similar to other clustering phenomenon in nature is a much warranted study, since it would help us in understanding the nature of binding of the nucleons inside the nucleus, closed shell behaviour when the system is highly deformed, dynamics and structure at extremes. Several models account for the clustering phenomenon of nuclei. We present in this work, a cluster core model study of nuclear clustering in light mass nuclei

Cluster fusion algorithm: application to Lennard-Jones clusters

DEFF Research Database (Denmark)

Solov'yov, Ilia; Solov'yov, Andrey V.; Greiner, Walter

2006-01-01

paths up to the cluster size of 150 atoms. We demonstrate that in this way all known global minima structures of the Lennard-Jones clusters can be found. Our method provides an efficient tool for the calculation and analysis of atomic cluster structure. With its use we justify the magic number sequence......We present a new general theoretical framework for modelling the cluster structure and apply it to description of the Lennard-Jones clusters. Starting from the initial tetrahedral cluster configuration, adding new atoms to the system and absorbing its energy at each step, we find cluster growing...... for the clusters of noble gas atoms and compare it with experimental observations. We report the striking correspondence of the peaks in the dependence of the second derivative of the binding energy per atom on cluster size calculated for the chain of the Lennard-Jones clusters based on the icosahedral symmetry...

Cluster fusion algorithm: application to Lennard-Jones clusters

DEFF Research Database (Denmark)

Solov'yov, Ilia; Solov'yov, Andrey V.; Greiner, Walter

2008-01-01

paths up to the cluster size of 150 atoms. We demonstrate that in this way all known global minima structures of the Lennard-Jones clusters can be found. Our method provides an efficient tool for the calculation and analysis of atomic cluster structure. With its use we justify the magic number sequence......We present a new general theoretical framework for modelling the cluster structure and apply it to description of the Lennard-Jones clusters. Starting from the initial tetrahedral cluster configuration, adding new atoms to the system and absorbing its energy at each step, we find cluster growing...... for the clusters of noble gas atoms and compare it with experimental observations. We report the striking correspondence of the peaks in the dependence of the second derivative of the binding energy per atom on cluster size calculated for the chain of the Lennard-Jones clusters based on the icosahedral symmetry...

Alpha-clustering in dilute nucleonic sea

International Nuclear Information System (INIS)

Tohsaki, Akihiro

1999-01-01

α-clusters are expected to come out here and there in nucleonic sea owing to energetic benefit as its density is diluted. We propose a precise treatment to elucidate α-clusterized process in nucleonic sea after the breakdown of the uniformness. In order to do this, an infinite number of nucleons are considered by taking account of both the Pauli exclusion principle and effective internucleon forces. This method is called a microscopic approach, which has been successful in an α-cluster structure in light nuclei. In particular, we shed light on overcoming difficulties in a static model within the microscopic framework. This improvement is verified by using the empirical value in Weizaecker's mass formula. (author)

Subaru Weak Lensing Measurements of Four Strong Lensing Clusters: Are Lensing Clusters Over-Concentrated?

Energy Technology Data Exchange (ETDEWEB)

Oguri, Masamune; Hennawi, Joseph F.; Gladders, Michael D.; Dahle, Haakon; Natarajan, Priyamvada; Dalal, Neal; Koester, Benjamin P.; Sharon, Keren; Bayliss, Matthew

2009-01-29

We derive radial mass profiles of four strong lensing selected clusters which show prominent giant arcs (Abell 1703, SDSS J1446+3032, SDSS J1531+3414, and SDSS J2111-0115), by combining detailed strong lens modeling with weak lensing shear measured from deep Subaru Suprime-cam images. Weak lensing signals are detected at high significance for all four clusters, whose redshifts range from z = 0.28 to 0.64. We demonstrate that adding strong lensing information with known arc redshifts significantly improves constraints on the mass density profile, compared to those obtained from weak lensing alone. While the mass profiles are well fitted by the universal form predicted in N-body simulations of the {Lambda}-dominated cold dark matter model, all four clusters appear to be slightly more centrally concentrated (the concentration parameters c{sub vir} {approx} 8) than theoretical predictions, even after accounting for the bias toward higher concentrations inherent in lensing selected samples. Our results are consistent with previous studies which similarly detected a concentration excess, and increases the total number of clusters studied with the combined strong and weak lensing technique to ten. Combining our sample with previous work, we find that clusters with larger Einstein radii are more anomalously concentrated. We also present a detailed model of the lensing cluster Abell 1703 with constraints from multiple image families, and find the dark matter inner density profile to be cuspy with the slope consistent with -1, in agreement with expectations.

Interactive visual exploration and refinement of cluster assignments.

Science.gov (United States)

Kern, Michael; Lex, Alexander; Gehlenborg, Nils; Johnson, Chris R

2017-09-12

With ever-increasing amounts of data produced in biology research, scientists are in need of efficient data analysis methods. Cluster analysis, combined with visualization of the results, is one such method that can be used to make sense of large data volumes. At the same time, cluster analysis is known to be imperfect and depends on the choice of algorithms, parameters, and distance measures. Most clustering algorithms don't properly account for ambiguity in the source data, as records are often assigned to discrete clusters, even if an assignment is unclear. While there are metrics and visualization techniques that allow analysts to compare clusterings or to judge cluster quality, there is no comprehensive method that allows analysts to evaluate, compare, and refine cluster assignments based on the source data, derived scores, and contextual data. In this paper, we introduce a method that explicitly visualizes the quality of cluster assignments, allows comparisons of clustering results and enables analysts to manually curate and refine cluster assignments. Our methods are applicable to matrix data clustered with partitional, hierarchical, and fuzzy clustering algorithms. Furthermore, we enable analysts to explore clustering results in context of other data, for example, to observe whether a clustering of genomic data results in a meaningful differentiation in phenotypes. Our methods are integrated into Caleydo StratomeX, a popular, web-based, disease subtype analysis tool. We show in a usage scenario that our approach can reveal ambiguities in cluster assignments and produce improved clusterings that better differentiate genotypes and phenotypes.

Peer Coaches to Improve Diabetes Outcomes in Rural Alabama: A Cluster Randomized Trial.

Science.gov (United States)

Safford, Monika M; Andreae, Susan; Cherrington, Andrea L; Martin, Michelle Y; Halanych, Jewell; Lewis, Marquita; Patel, Ashruta; Johnson, Ethel; Clark, Debra; Gamboa, Christopher; Richman, Joshua S

2015-08-01

It is unclear whether peer coaching is effective in minority populations living with diabetes in hard-to-reach, under-resourced areas such as the rural South. We examined the effect of an innovative peer-coaching intervention plus brief education vs brief education alone on diabetes outcomes. This was a community-engaged, cluster-randomized, controlled trial with primary care practices and their surrounding communities serving as clusters. The trial enrolled 424 participants, with 360 completing baseline and follow-up data collection (84.9% retention). The primary outcomes were change in glycated hemoglobin (HbA1c), systolic blood pressure (BP), low density lipoprotein cholesterol (LDL-C), body mass index (BMI), and quality of life, with diabetes distress and patient activation as secondary outcomes. Peer coaches were trained for 2 days in community settings; the training emphasized motivational interviewing skills, diabetes basics, and goal setting. All participants received a 1-hour diabetes education class and a personalized diabetes report card at baseline. Intervention arm participants were also paired with peer coaches; the protocol called for telephone interactions weekly for the first 8 weeks, then monthly for a total of 10 months. Due to real-world constraints, follow-up was protracted, and intervention effects varied over time. The analysis that included the 68% of participants followed up by 15 months showed only a significant increase in patient activation in the intervention group. The analysis that included all participants who eventually completed follow-up revealed that intervention arm participants had significant differences in changes in systolic BP (P = .047), BMI (P = .02), quality of life (P = .003), diabetes distress (P = .004), and patient activation (P = .03), but not in HbA1c (P = .14) or LDL-C (P = .97). Telephone-delivered peer coaching holds promise to improve health for individuals with diabetes living in under-resourced areas. © 2015

Linked supramolecular building blocks for enhanced cluster formation

DEFF Research Database (Denmark)

McLellan, Ross; Palacios, Maria A.; Beavers, Christine M.

2015-01-01

the complex assembly process. The ability to covalently link calix[4]arenes at the methylene bridge provides significantly improved control over the introduction of different metal centres to resulting cluster motifs. Clusters assembled from bis-calix[4]-arenes and transition metal ions or 3d-4 f combinations......(Figure Presented). Methylene-bridged calix[4]arenes have emerged as extremely versatile ligand supports in the formation of new polymetallic clusters possessing fascinating magnetic properties. Metal ion binding rules established for this building block allow one to partially rationalise...

Global myeloma research clusters, output, and citations: a bibliometric mapping and clustering analysis.

Directory of Open Access Journals (Sweden)

Jens Peter Andersen

Full Text Available International collaborative research is a mechanism for improving the development of disease-specific therapies and for improving health at the population level. However, limited data are available to assess the trends in research output related to orphan diseases.We used bibliometric mapping and clustering methods to illustrate the level of fragmentation in myeloma research and the development of collaborative efforts. Publication data from Thomson Reuters Web of Science were retrieved for 2005-2009 and followed until 2013. We created a database of multiple myeloma publications, and we analysed impact and co-authorship density to identify scientific collaborations, developments, and international key players over time. The global annual publication volume for studies on multiple myeloma increased from 1,144 in 2005 to 1,628 in 2009, which represents a 43% increase. This increase is high compared to the 24% and 14% increases observed for lymphoma and leukaemia. The major proportion (>90% of publications was from the US and EU over the study period. The output and impact in terms of citations, identified several successful groups with a large number of intra-cluster collaborations in the US and EU. The US-based myeloma clusters clearly stand out as the most productive and highly cited, and the European Myeloma Network members exhibited a doubling of collaborative publications from 2005 to 2009, still increasing up to 2013.Multiple myeloma research output has increased substantially in the past decade. The fragmented European myeloma research activities based on national or regional groups are progressing, but they require a broad range of targeted research investments to improve multiple myeloma health care.

SAIL: Summation-bAsed Incremental Learning for Information-Theoretic Text Clustering.

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Cao, Jie; Wu, Zhiang; Wu, Junjie; Xiong, Hui

2013-04-01

Information-theoretic clustering aims to exploit information-theoretic measures as the clustering criteria. A common practice on this topic is the so-called Info-Kmeans, which performs K-means clustering with KL-divergence as the proximity function. While expert efforts on Info-Kmeans have shown promising results, a remaining challenge is to deal with high-dimensional sparse data such as text corpora. Indeed, it is possible that the centroids contain many zero-value features for high-dimensional text vectors, which leads to infinite KL-divergence values and creates a dilemma in assigning objects to centroids during the iteration process of Info-Kmeans. To meet this challenge, in this paper, we propose a Summation-bAsed Incremental Learning (SAIL) algorithm for Info-Kmeans clustering. Specifically, by using an equivalent objective function, SAIL replaces the computation of KL-divergence by the incremental computation of Shannon entropy. This can avoid the zero-feature dilemma caused by the use of KL-divergence. To improve the clustering quality, we further introduce the variable neighborhood search scheme and propose the V-SAIL algorithm, which is then accelerated by a multithreaded scheme in PV-SAIL. Our experimental results on various real-world text collections have shown that, with SAIL as a booster, the clustering performance of Info-Kmeans can be significantly improved. Also, V-SAIL and PV-SAIL indeed help improve the clustering quality at a lower cost of computation.

Comprehensive cluster analysis with Transitivity Clustering.

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Wittkop, Tobias; Emig, Dorothea; Truss, Anke; Albrecht, Mario; Böcker, Sebastian; Baumbach, Jan

2011-03-01

Transitivity Clustering is a method for the partitioning of biological data into groups of similar objects, such as genes, for instance. It provides integrated access to various functions addressing each step of a typical cluster analysis. To facilitate this, Transitivity Clustering is accessible online and offers three user-friendly interfaces: a powerful stand-alone version, a web interface, and a collection of Cytoscape plug-ins. In this paper, we describe three major workflows: (i) protein (super)family detection with Cytoscape, (ii) protein homology detection with incomplete gold standards and (iii) clustering of gene expression data. This protocol guides the user through the most important features of Transitivity Clustering and takes ∼1 h to complete.

Stream gradient Hotspot and Cluster Analysis (SL-HCA) for improving the longitudinal profiles metrics

Science.gov (United States)

Troiani, Francesco; Piacentini, Daniela; Seta Marta, Della

2016-04-01

analysis conducted on 52 clusters of high and very high Gi* values indicate that mass movement of slope material represents the dominant process producing over-steeped long-profiles along connected streams, whereas the litho-structure accounts for the main anomalies along disconnected steams. Tectonic structures generally provide to the largest clusters. Our results demonstrate that SL-HCA maps have the same potential of lithologically-filtered SL maps for detecting knickzones due to hillslope processes and/or tectonic structures. The reduced-complexity model derived from SL-HCA approach highly improve the readability of the morphometric outcomes, thus the interpretation at a regional scale of the geological-geomorphological meaning of over-steeped segments on long-profiles. SL-HCA maps are useful to investigate and better interpret knickzones within regions poorly covered by geological data and where field surveys are difficult to be performed.

Cluster-cluster correlations and constraints on the correlation hierarchy

Science.gov (United States)

Hamilton, A. J. S.; Gott, J. R., III

1988-01-01

The hypothesis that galaxies cluster around clusters at least as strongly as they cluster around galaxies imposes constraints on the hierarchy of correlation amplitudes in hierachical clustering models. The distributions which saturate these constraints are the Rayleigh-Levy random walk fractals proposed by Mandelbrot; for these fractal distributions cluster-cluster correlations are all identically equal to galaxy-galaxy correlations. If correlation amplitudes exceed the constraints, as is observed, then cluster-cluster correlations must exceed galaxy-galaxy correlations, as is observed.

CONSTRAINING CLUSTER PHYSICS WITH THE SHAPE OF X-RAY CLUSTERS: COMPARISON OF LOCAL X-RAY CLUSTERS VERSUS ΛCDM CLUSTERS

International Nuclear Information System (INIS)

Lau, Erwin T.; Nagai, Daisuke; Kravtsov, Andrey V.; Vikhlinin, Alexey; Zentner, Andrew R.

2012-01-01

Recent simulations of cluster formation have demonstrated that condensation of baryons into central galaxies during cluster formation can drive the shape of the gas distribution in galaxy clusters significantly rounder out to their virial radius. These simulations generally predict stellar fractions within cluster virial radii that are ∼2-3 times larger than the stellar masses deduced from observations. In this paper, we compare ellipticity profiles of simulated clusters performed with varying input physics (radiative cooling, star formation, and supernova feedback) to the cluster ellipticity profiles derived from Chandra and ROSAT observations, in an effort to constrain the fraction of gas that cools and condenses into the central galaxies within clusters. We find that local relaxed clusters have an average ellipticity of ε = 0.18 ± 0.05 in the radial range of 0.04 ≤ r/r 500 ≤ 1. At larger radii r > 0.1r 500 , the observed ellipticity profiles agree well with the predictions of non-radiative simulations. In contrast, the ellipticity profiles of simulated clusters that include dissipative gas physics deviate significantly from the observed ellipticity profiles at all radii. The dissipative simulations overpredict (underpredict) ellipticity in the inner (outer) regions of galaxy clusters. By comparing simulations with and without dissipative gas physics, we show that gas cooling causes the gas distribution to be more oblate in the central regions, but makes the outer gas distribution more spherical. We find that late-time gas cooling and star formation are responsible for the significantly oblate gas distributions in cluster cores, but the gas shapes outside of cluster cores are set primarily by baryon dissipation at high redshift (z ≥ 2). Our results indicate that the shapes of X-ray emitting gas in galaxy clusters, especially at large radii, can be used to place constraints on cluster gas physics, making it potential probes of the history of baryonic

Nonuniform Sparse Data Clustering Cascade Algorithm Based on Dynamic Cumulative Entropy

Directory of Open Access Journals (Sweden)

Ning Li

2016-01-01

Full Text Available A small amount of prior knowledge and randomly chosen initial cluster centers have a direct impact on the accuracy of the performance of iterative clustering algorithm. In this paper we propose a new algorithm to compute initial cluster centers for k-means clustering and the best number of the clusters with little prior knowledge and optimize clustering result. It constructs the Euclidean distance control factor based on aggregation density sparse degree to select the initial cluster center of nonuniform sparse data and obtains initial data clusters by multidimensional diffusion density distribution. Multiobjective clustering approach based on dynamic cumulative entropy is adopted to optimize the initial data clusters and the best number of the clusters. The experimental results show that the newly proposed algorithm has good performance to obtain the initial cluster centers for the k-means algorithm and it effectively improves the clustering accuracy of nonuniform sparse data by about 5%.

Cluster size matters: Size-driven performance of subnanometer clusters in catalysis, electrocatalysis and Li-air batteries

Science.gov (United States)

Vajda, Stefan

2015-03-01

This paper discusses the strongly size-dependent performance of subnanometer cluster based catalysts in 1) heterogeneous catalysis, 2) electrocatalysis and 3) Li-air batteries. The experimental studies are based on I. fabrication of ultrasmall clusters with atomic precision control of particle size and their deposition on oxide and carbon based supports; II. test of performance, III. in situand ex situ X-ray characterization of cluster size, shape and oxidation state; and IV.electron microscopies. Heterogeneous catalysis. The pronounced effect of cluster size and support on the performance of the catalyst (catalyst activity and the yield of Cn products) will be illustrated on the example of nickel and cobalt clusters in Fischer-Tropsch reaction. Electrocatalysis. The study of the oxygen evolution reaction (OER) on size-selected palladium clusters supported on ultrananocrystalline diamond show pronounced size effects. While Pd4 clusters show no reaction, Pd6 and Pd17 clusters are among the most active catalysts known (in in terms of turnover rate per Pd atom). The system (soft-landed Pd4, Pd6, or Pd17 clusters on an UNCD Si coated electrode) shows stable electrochemical potentials over several cycles, and the characterization of the electrodes show no evidence for evolution or dissolution of either the support Theoretical calculations suggest that this striking difference may be a demonstration that bridging Pd-Pd sites, which are only present in three-dimensional clusters, are active for the oxygen evolution reaction in Pd6O6. Li-air batteries. The studies show that sub-nm silver clusters have dramatic size-dependent effect on the lowering of the overpotential, charge capacity, morphology of the discharge products, as well as on the morphology of the nm size building blocks of the discharge products. The results suggest that by precise control of the active surface sites on the cathode, the performance of Li-air cells can be significantly improved

Expert advice provided through telemedicine improves healing of chronic wounds: prospective cluster controlled study.

Science.gov (United States)

Zarchi, Kian; Haugaard, Vibeke B; Dufour, Deirdre N; Jemec, Gregor B E