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Ecosphere
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Ecosphere
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https://dx.doi.org/10.60692/m9...
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Other literature type . 2017
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Full and effective participation of indigenous peoples in forest monitoring for reducing emissions from deforestation and forest degradation (REDD+): trial in Panama's Darién

المشاركة الكاملة والفعالة للشعوب الأصلية في رصد الغابات من أجل خفض الانبعاثات الناجمة عن إزالة الغابات وتدهورها (REDD+): تجربة في دارين في بنما
Authors: Catherine Potvin; Catherine Potvin; Lupita Omi; Jose Monteza; K. C. Cushman; K. C. Cushman; Javier Mateo-Vega; +8 Authors

Full and effective participation of indigenous peoples in forest monitoring for reducing emissions from deforestation and forest degradation (REDD+): trial in Panama's Darién

Abstract

AbstractA 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.

Keywords

Biomass (ecology), Tree Height Estimation, Estimation of Forest Biomass and Carbon Stocks, Oceanography, Environmental protection, Climate change mitigation, Context (archaeology), Pathology, Climate change, Carbon stock, Environmental resource management, Global and Planetary Change, Geography, Forest management, Ecology, Forestry, Agriculture, Geology, Reducing emissions from deforestation and forest degradation, Programming language, Archaeology, Physical Sciences, Medicine, Mapping Forests with Lidar Remote Sensing, Land degradation, Biomass Estimation, Vegetation (pathology), Environmental Engineering, Environmental science, Agroforestry, Biology, Nature and Landscape Conservation, Forest degradation, Baseline (sea), FOS: Environmental engineering, FOS: Earth and related environmental sciences, Computer science, Indigenous, Deforestation (computer science), FOS: Biological sciences, Environmental Science, Drivers and Impacts of Tropical Deforestation, Forest inventory

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
gold