Overall objective

To provide policymakers, practitioners and local communities with the information, analysis and tools they need to implement policies and projects for adaptation to climate change and reduction of carbon emissions in the forests of the Congo Basin, with equitable impacts and co-benefits – including poverty reduction, enhancement of ecosystem services, and protection of local livelihoods and rights.

Specific objectives

  • Empower local, national and regional stakeholders to define and implement their own adaptation and REDD projects, based on an analysis of regional and national policies on forests and climate change.
  • Analyse the vulnerability of local communities and define adaptation in selected sites, through a participatory and multiscale approach.
  • Analyse opportunities for REDD+, the governance challenges and the potential impacts on local livelihoods, through a participatory and multiscale approach.
  • Recommend approaches to identify local projects that enhance synergies between mitigation and adaptation and to identify and mobilise partnerships for the implementation of such projects.
  • Develop national and regional strategies targeting the integration of adaptation and REDD+ into forest policies and the promotion of synergies between adaptation and mitigation.
  • Communicate, share knowledge and build capacity at local, national and sub-national levels regarding adaptation and REDD+ in the Congo Basin forests.

Expected results

  • Science–policy dialogue on the importance of adaptation and forests and the synergies between adaptation and mitigation synergies;
  • Strengthened capacity of policymakers for a better understanding of REDD+ and adaptation concepts;
  • Information made available on regional and national vulnerability maps;
  • Information made available on national level deforestation and degradation drivers;
  • Lessons generated from the first pilot projects on adaptation and REDD+ in synergy;
  • Integration of lessons from the field in national and regional decision making.