Modeling trade-offs across carbon sequestration, biodiversity conservation, and equity in the distribution of global REDD+ funds
Author(s) -
Ignacio Palomo,
Yann Dujardin,
Estelle Midler,
Ma Robin,
María José Sanz,
Unai Pascual
Publication year - 2019
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.1908683116
Subject(s) - equity (law) , biodiversity , natural resource economics , deforestation (computer science) , climate change , climate change mitigation , business , carbon sequestration , incentive , reducing emissions from deforestation and forest degradation , environmental resource management , distribution (mathematics) , greenhouse gas , economics , carbon stock , ecology , political science , carbon dioxide , computer science , microeconomics , law , biology , programming language , mathematical analysis , mathematics
Significance Deforestation is a key driver of climate change. The program on Reducing Emissions from Deforestation and Forest Degradation (REDD+) is one of the major attempts to tackle climate change mitigation in developing countries. The program intends to provide result-based incentives to countries that reduce deforestation. We model various future scenarios of the distribution of REDD+ funds and assess how each scenario would contribute to reducing carbon emissions and to conserving biodiversity under different distributional equity rules. Results help to understand how the inclusion of distributional equity affects biodiversity and climate objectives under REDD+, and they provide insights about potential synergies and trade-offs between environmental and equity targets in broader policy arenas such as those related to the Sustainable Development Goals.
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