Reducing emissions from deforestation and forest degradation (REDD+): game changer or just another quick fix?
Venter, Oscar, and Koh, Lian Pin (2012) Reducing emissions from deforestation and forest degradation (REDD+): game changer or just another quick fix? Annals of the New York Academy of Sciences, 1249. pp. 137-150.
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Abstract
Reducing emissions from deforestation and forest degradation (REDD+) provides financial compensation to land owners who avoid converting standing forests to other land uses. In this paper, we review the main opportunities and challenges for REDD+ implementation, including expectations for REDD+ to deliver on multiple environmental and societal cobenefits. We also highlight a recent case study, the Norway–Indonesia REDD+ agreement and discuss how it might be a harbinger of outcomes in other forest-rich nations seeking REDD+ funds. Looking forward, we critically examine the fundamental assumptions of REDD+ as a solution for the atmospheric buildup of greenhouse gas emissions and tropical deforestation. We conclude that REDD+ is currently the most promising mechanism driving the conservation of tropical forests. Yet, to emerge as a true game changer, REDD+ must still demonstrate that it can access low transaction cost and high-volume carbon markets or funds, while also providing or complimenting a suite of nonmonetary incentives to encourage a developing nation's transition from forest losing to forest gaining, and align with, not undermine, a globally cohesive attempt to mitigate anthropogenic climate change.
Item ID: | 20978 |
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Item Type: | Article (Research - C1) |
ISSN: | 1749-6632 |
Keywords: | carbon payment scheme; biodiversity conservation; climate change; REDD; tropical deforestation |
Date Deposited: | 14 Mar 2012 04:32 |
FoR Codes: | 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050202 Conservation and Biodiversity @ 100% |
SEO Codes: | 96 ENVIRONMENT > 9608 Flora, Fauna and Biodiversity > 960899 Flora, Fauna and Biodiversity of Environments not elsewhere classified @ 100% |
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