The UN-REDD Programme is the United Nations Collaborative Programme on Reducing Emissions from Deforestation and forest Degradation (REDD+) in developing countries. The Programme was launched in 2008 and builds on the convening role and technical expertise of the Food and Agriculture Organization of the United Nations (FAO), the United Nations Development Programme (UNDP) and the United Nations Environment Programme (UNEP). The Programme supports nationally led REDD+ processes and promotes the informed and meaningful involvement of all stakeholders, including indigenous peoples and other forest-dependent communities, in national and international REDD+ implementation. Additionally, the programme supports national REDD+ readiness efforts in 65 partner countries ,spanning Africa, Asia-Pacific and Latin America.
Support to partner countries is delivered through;
Direct support to the design and implementation of National REDD+ Programmes;
Complementary tailored support to national REDD+ actions;
Technical capacity building support through sharing of expertise, common approaches, analyses, methodologies, tools, data, best practices and facilitated South-South knowledge sharing. How we work
With the goal to reduce forest emissions and enhance carbon stocks in forests while contributing to national sustainable development, The Programme has set three outcomes for the 2016-2020 work programme namely:
Contributions of REDD+ to the mitigation of climate change as well as to the provision of additional benefits have been designed;
Country contributions to the mitigation of climate change though REDD+ are measured, reported and verified and necessary institutional arrangements are in place;
REDD+ contributions to the mitigation of climate change are implemented and safeguarded with policies and measures that constitute results-based actions, including the development of appropriate and effective institutional arrangements.
Four cross-cutting themes including have been identified as being significant in order to ensure the Programme achieves desired results: