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Overstated carbon emission reductions from voluntary REDD+ projects in the Brazilian Amazon

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

© 2020 National Academy of Sciences. All rights reserved.Reducing emissions from deforestation and forest degradation (REDD+) has gained international attention over the past decade, as manifested in both United Nations policy discussions and hundreds of voluntary projects launched to earn carbon-offset credits. There are ongoing discussions about whether and how projects should be integrated into national climate change mitigation efforts under the Paris Agreement. One consideration is whether these projects have generated additional impacts over and above national policies and other measures. To help inform these discussions, we compare the crediting baselines established ex-ante by voluntary REDD+ projects in the Brazilian Amazon to counterfactuals constructed ex-post based on the quasi-experimental synthetic control method. We find that the crediting baselines assume consistently higher deforestation than counterfactual forest loss in synthetic control sites. This gap is partially due to decreased deforestation in the Brazilian Amazon during the early implementation phase of the REDD+ projects considered here. This suggests that forest carbon finance must strike a balance between controlling conservation investment risk and ensuring the environmental integrity of carbon emission offsets. Relatedly, our results point to the need to better align project- and national-level carbon accounting.
Original languageEnglish
Pages (from-to)24188-24194
JournalProceedings of the National Academy of Sciences of the United States of America
Volume117
Issue number39
DOIs
Publication statusPublished - 29 Sept 2020
Externally publishedYes

Funding

ACKNOWLEDGMENTS. We thank two anonymous reviewers for valuable comments and suggestions. J.B. acknowledges support from the German Federal Ministry of Education and Research.

Funders
Bundesministerium für Bildung und Forschung

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