Integrated assessment of deforestation drivers and their alignment with subnational climate change mitigation efforts

Efforts to reduce emissions from deforestation and forest degradation and enhancing forest carbon stocks (REDD+) have evolved over the past decade. Early REDD+ programs and local/subnational projects used various interventions (i.e. enabling measures, disincentives and incentives), implemented by go...

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Autores principales: Bos, A.B., Sy, Veronique de, Duchelle, Amy E., Atmadja, S., Bruin, S. de, Wunder, Sven, Herold, M.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://hdl.handle.net/10568/111910
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author Bos, A.B.
Sy, Veronique de
Duchelle, Amy E.
Atmadja, S.
Bruin, S. de
Wunder, Sven
Herold, M.
author_browse Atmadja, S.
Bos, A.B.
Bruin, S. de
Duchelle, Amy E.
Herold, M.
Sy, Veronique de
Wunder, Sven
author_facet Bos, A.B.
Sy, Veronique de
Duchelle, Amy E.
Atmadja, S.
Bruin, S. de
Wunder, Sven
Herold, M.
author_sort Bos, A.B.
collection Repository of Agricultural Research Outputs (CGSpace)
description Efforts to reduce emissions from deforestation and forest degradation and enhancing forest carbon stocks (REDD+) have evolved over the past decade. Early REDD+ programs and local/subnational projects used various interventions (i.e. enabling measures, disincentives and incentives), implemented by government, the commercial and non-commercial private sector, but are currently understudied vis-à-vis their effectiveness to address site-specific drivers of deforestation and forest degradation (DD). We assess how well REDD+ interventions addressed DD at five project sites in Peru (1), Brazil (1), Vietnam (1) and Indonesia (2). Our study design includes an integrated assessment of remotely sensed, spatially modelled, and locally reported drivers. First, we observe follow-up land use from high resolution imagery as proxy for direct deforestation drivers. Second, spatial Random Forest modelling of DD drivers allows for influence quantification of topographic, climatic and proximity variables at each site. Third, we report direct and indirect DD drivers from pre-intervention surveys and semi-structured interviews with five REDD+ implementers, 40 villages and 1200 households. Data gathered included perceived changes in forest cover and quality, and their causes. We found general agreement between observed, modelled and reported local DD drivers, yet some were inadequately addressed by interventions. Intra-site differences in drivers underscores the importance of analysing micro-level DD drivers. Our interdisciplinary approach reveals the complexities of local direct and indirect DD drivers, and the complementarity of remotely sensed, spatially modelled and locally reported methods for driver identification. A better understanding of the alignment between DD drivers and REDD+ interventions is vital for practitioners and policy makers to enhance the effectiveness, efficiency, equity and co-benefits of REDD+ at the local level.
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spelling CGSpace1119102025-02-19T13:42:45Z Integrated assessment of deforestation drivers and their alignment with subnational climate change mitigation efforts Bos, A.B. Sy, Veronique de Duchelle, Amy E. Atmadja, S. Bruin, S. de Wunder, Sven Herold, M. climate change mitigation deforestation Efforts to reduce emissions from deforestation and forest degradation and enhancing forest carbon stocks (REDD+) have evolved over the past decade. Early REDD+ programs and local/subnational projects used various interventions (i.e. enabling measures, disincentives and incentives), implemented by government, the commercial and non-commercial private sector, but are currently understudied vis-à-vis their effectiveness to address site-specific drivers of deforestation and forest degradation (DD). We assess how well REDD+ interventions addressed DD at five project sites in Peru (1), Brazil (1), Vietnam (1) and Indonesia (2). Our study design includes an integrated assessment of remotely sensed, spatially modelled, and locally reported drivers. First, we observe follow-up land use from high resolution imagery as proxy for direct deforestation drivers. Second, spatial Random Forest modelling of DD drivers allows for influence quantification of topographic, climatic and proximity variables at each site. Third, we report direct and indirect DD drivers from pre-intervention surveys and semi-structured interviews with five REDD+ implementers, 40 villages and 1200 households. Data gathered included perceived changes in forest cover and quality, and their causes. We found general agreement between observed, modelled and reported local DD drivers, yet some were inadequately addressed by interventions. Intra-site differences in drivers underscores the importance of analysing micro-level DD drivers. Our interdisciplinary approach reveals the complexities of local direct and indirect DD drivers, and the complementarity of remotely sensed, spatially modelled and locally reported methods for driver identification. A better understanding of the alignment between DD drivers and REDD+ interventions is vital for practitioners and policy makers to enhance the effectiveness, efficiency, equity and co-benefits of REDD+ at the local level. 2020-12 2021-03-08T08:15:05Z 2021-03-08T08:15:05Z Journal Article https://hdl.handle.net/10568/111910 en Open Access Elsevier Bos, A.B., De Sy, V., Duchelle, A.E., Atmadja, S., de Bruin, S., Wunder, S. and Herold, M., 2020. Integrated assessment of deforestation drivers and their alignment with subnational climate change mitigation efforts. Environmental Science & Policy, 114: 352-365. https://doi.org/10.1016/j.envsci.2020.08.002
spellingShingle climate change
mitigation
deforestation
Bos, A.B.
Sy, Veronique de
Duchelle, Amy E.
Atmadja, S.
Bruin, S. de
Wunder, Sven
Herold, M.
Integrated assessment of deforestation drivers and their alignment with subnational climate change mitigation efforts
title Integrated assessment of deforestation drivers and their alignment with subnational climate change mitigation efforts
title_full Integrated assessment of deforestation drivers and their alignment with subnational climate change mitigation efforts
title_fullStr Integrated assessment of deforestation drivers and their alignment with subnational climate change mitigation efforts
title_full_unstemmed Integrated assessment of deforestation drivers and their alignment with subnational climate change mitigation efforts
title_short Integrated assessment of deforestation drivers and their alignment with subnational climate change mitigation efforts
title_sort integrated assessment of deforestation drivers and their alignment with subnational climate change mitigation efforts
topic climate change
mitigation
deforestation
url https://hdl.handle.net/10568/111910
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