2022
DOI: 10.1088/1748-9326/ac9827
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Adaptive approaches to REDD+ are needed for countries with high forest cover and low deforestation rates

Abstract: Reducing emissions from deforestation and forest degradation (REDD+) aims to maintain forest carbon stocks above benchmark reference levels through financial compensation. However, countries with high forest cover and low deforestation (HFLD) are unlikely to be compensated fairly if REDD+ initiatives fail to conserve existing forests and to incentivize low deforestation rates. Here we analyze the submissions of forest reference levels (FRLs) of five HFLD countries (Democratic Republic of the Congo [DRC], Repub… Show more

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Cited by 4 publications
(1 citation statement)
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“…But despite this strong regulatory framework and civil society's efforts, challenges persist. While Gabon recently received its first results-based REDD+ payment, accessing climate finance has proven to be especially difficult for HFLD countries (Schweikart et al 2022), and Gabon will need considerably more financial support to maintain low deforestation rates (Republic of Gabon 2022). Relatedly, effective enforcement also remains difficult, and, while illegal logging has declined, it continues to threaten Gabon's forests Sources: Historical data from Global Forest Watch, using datasets updated to 2022 (Hansen et al 2013;Turubanova et al 2018).…”
Section: Nongovernmental Organizations Like Conservationmentioning
confidence: 99%
“…But despite this strong regulatory framework and civil society's efforts, challenges persist. While Gabon recently received its first results-based REDD+ payment, accessing climate finance has proven to be especially difficult for HFLD countries (Schweikart et al 2022), and Gabon will need considerably more financial support to maintain low deforestation rates (Republic of Gabon 2022). Relatedly, effective enforcement also remains difficult, and, while illegal logging has declined, it continues to threaten Gabon's forests Sources: Historical data from Global Forest Watch, using datasets updated to 2022 (Hansen et al 2013;Turubanova et al 2018).…”
Section: Nongovernmental Organizations Like Conservationmentioning
confidence: 99%