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The role of women in early REDD+ implementation: lessons for future engagement

handle: 10568/68608
SUMMARY Researchers and practitioners have amply discussed the potential of REDD+ to help or harm forest-based communities, but less attention has been paid to its gender dimensions. Safeguard policies are aimed at ensuring that REDD+ does not harm women, but interventions that do not seek to address imbalances at the outset may be doomed to perpetuate them. Based on research by the Center for International Forestry Research in 77 villages in 20 REDD+ sites across six countries, this article finds that women — even where they use forests as much or more — have been less involved in REDD+ initiative design decisions and processes than men, a situation with potentially significant implications for implementation and future outcomes. This article uses the research findings to argue that “participation”, while a central demand of indigenous and other local communities more generally, is only a partial solution to addressing women's strategic needs in ways that could strengthen their position in REDD+. Rather,...
- University of Montpellier France
- CGIAR France
- Center for International Forestry Research Peru
- Center for International Forestry Research Peru
- CGIAR Consortium France
forests, redd-plus, climate change, gender, indigenous peoples
forests, redd-plus, climate change, gender, indigenous peoples
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).51 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
