REDD+ is a voluntary climate change mitigation framework developed under the United Nations Framework Convention on Climate Change (UNFCCC). It aims to encourage developing countries to reduce greenhouse gas emissions from deforestation and forest degradation, and to promote conservation, sustainable forest management, and enhancement of forest carbon stocks through financial incentives and policy support. The acronym is commonly expanded as "reducing emissions from deforestation and forest degradation in developing countries", and the "+" denotes the additional forest conservation and enhance
REDD+ is a voluntary climate change mitigation framework developed under the United Nations Framework Convention on Climate Change (UNFCCC). It aims to encourage developing countries to reduce greenhouse gas emissions from deforestation and forest degradation, and to promote conservation, sustainable forest management, and enhancement of forest carbon stocks through financial incentives and policy support. The acronym is commonly expanded as "reducing emissions from deforestation and forest degradation in developing countries", and the "+" denotes the additional forest conservation and enhancement activities included in the UNFCCC scope.
UNFCCC decisions describe REDD+ as a phased approach, beginning with "readiness" activities (planning, capacity-building and institutional development), moving to implementation of national policies and measures, and evolving toward results-based actions that are fully measured, reported and verified. Countries undertaking REDD+ are expected to develop a national strategy or action plan, establish a forest reference (emission) level (FREL/FRL) as a benchmark for assessing performance, and build a national forest monitoring system to support monitoring, reporting and verification (MRV). UNFCCC decisions also include social and environmental safeguards (often referred to as the Cancún safeguards) and require countries seeking results-based payments to provide information on how safeguards are addressed and respected.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).