Mateo-VegaPotvinMontezaEtAl2017

Référence

Mateo-Vega, J., Potvin, C., Monteza, J., Bacorizo, J., Barrigon, J., Barrigon, R., Lopez, N., Omi, L., Opua, M., Serrano, J., Cushman, K.C., Meyer, C. (2017) Full and effective participation of indigenous peoples in forest monitoring for reducing emissions from deforestation and forest degradation (REDD+): Trial in Panama's Darien. Ecosphere, 8(2). (Scopus )

Résumé

A primary technical requirement of the climate change mitigation mechanism, reducing emissions from deforestation and forest degradation (REDD+), is to calculate emissions factors, that is, the amount of CO2 emissions or removals per hectare from land use and land-use change. Emissions factors are calculated from baseline estimates of the aboveground biomass (AGB) stored in different vegetation types. Ground-based methods for estimating AGB, such as forest inventories, despite being relatively accurate and necessary for calibrating remotely sensed data such as satellite or airborne Light Detection and Ranging, tend to be expensive and time-consuming. Thus, calls have been made to improve the cost-efficiency of these methods within the context of REDD+. Also as part of REDD+, there have been calls for the legitimate inclusion of indigenous peoples and rural communities in various aspects of the mechanism. To address both of these issues, we devised a participatory, rapid, forest inventorying method and tested it across the heterogeneous forest landscape of Darién, Panama. This effort took place within a project that was administratively and logistically managed entirely by an indigenous organization working in collaboration with indigenous authorities in Darién, with funding from the World Bank. A group of 24 indigenous technicians were trained on forest inventorying methods. They established and measured thirty 1-ha plots under our direct supervision. We tested for various sources of error in tree diameter and height measurements. We also tested the scalability of our tree-level biomass estimates to the plot level by comparing our results with simulations conducted on the Barro Colorado Island 50-ha permanent plot data. Results indicate that our rapid, participatory, forest inventorying method effectively captures plot-level AGB, while guaranteeing the full and effective participation of indigenous peoples. The benefits of our method in terms of cost-efficiency and access to remote forest areas are discussed, as well as those accrued by indigenous peoples. © 2017 Mateo-Vega et al.

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@ARTICLE { Mateo-VegaPotvinMontezaEtAl2017,
    AUTHOR = { Mateo-Vega, J. and Potvin, C. and Monteza, J. and Bacorizo, J. and Barrigon, J. and Barrigon, R. and Lopez, N. and Omi, L. and Opua, M. and Serrano, J. and Cushman, K.C. and Meyer, C. },
    TITLE = { Full and effective participation of indigenous peoples in forest monitoring for reducing emissions from deforestation and forest degradation (REDD+): Trial in Panama's Darien },
    JOURNAL = { Ecosphere },
    YEAR = { 2017 },
    VOLUME = { 8 },
    NUMBER = { 2 },
    NOTE = { cited By 0 },
    ABSTRACT = { A primary technical requirement of the climate change mitigation mechanism, reducing emissions from deforestation and forest degradation (REDD+), is to calculate emissions factors, that is, the amount of CO2 emissions or removals per hectare from land use and land-use change. Emissions factors are calculated from baseline estimates of the aboveground biomass (AGB) stored in different vegetation types. Ground-based methods for estimating AGB, such as forest inventories, despite being relatively accurate and necessary for calibrating remotely sensed data such as satellite or airborne Light Detection and Ranging, tend to be expensive and time-consuming. Thus, calls have been made to improve the cost-efficiency of these methods within the context of REDD+. Also as part of REDD+, there have been calls for the legitimate inclusion of indigenous peoples and rural communities in various aspects of the mechanism. To address both of these issues, we devised a participatory, rapid, forest inventorying method and tested it across the heterogeneous forest landscape of Darién, Panama. This effort took place within a project that was administratively and logistically managed entirely by an indigenous organization working in collaboration with indigenous authorities in Darién, with funding from the World Bank. A group of 24 indigenous technicians were trained on forest inventorying methods. They established and measured thirty 1-ha plots under our direct supervision. We tested for various sources of error in tree diameter and height measurements. We also tested the scalability of our tree-level biomass estimates to the plot level by comparing our results with simulations conducted on the Barro Colorado Island 50-ha permanent plot data. Results indicate that our rapid, participatory, forest inventorying method effectively captures plot-level AGB, while guaranteeing the full and effective participation of indigenous peoples. The benefits of our method in terms of cost-efficiency and access to remote forest areas are discussed, as well as those accrued by indigenous peoples. © 2017 Mateo-Vega et al. },
    ART_NUMBER = { e01635 },
    AUTHOR_KEYWORDS = { Darién; Forest above-ground biomass; Indigenous peoples; Panama; Participatory forest monitoring; Reducing emissions from deforestation and forest degradation (REDD+) },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1002/ecs2.1635 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014167875&doi=10.1002%2fecs2.1635&partnerID=40&md5=23e628e73cf85924b4837e37e7bc7a53 },
}

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