Science-based national adaptation planning in Sub-Saharan Africa

This project supports francophone Sub-Sahara African Least Developed Countries in their National Adaptation Plan process. It currently runs in Benin and Senegal, where its main partners are the national ministries in charge of climate change. In each country, the project accompanies government and scientific actors in the formulation, implementation, monitoring and evaluation of the NAP process, and engages with wider stakeholders from civil society and the private sector. One of the project’s main aims is to strengthen national science-policy interfaces.

Project period
March 2016 – February 2019

Funder
German Federal Ministry of Environment, Nature Conservation and Nuclear Safety

Partners
Gesellschaft für Internationale Zusammenarbeit

Contact


©Amandine Berger

Jointly designed by Climate Analytics and the Gesellschaft für Internationale Zusammenarbeit (GIZ), PAS-PNA stands for Projet d’Appui Scientifique aux processus de Plans Nationaux d’Adaptation dans les pays francophones les moins avancés d’Afrique subsaharienne.

The project focuses on the following four activities:

  1. Strengthening national NAP governance processes
  2. Increasing national scientific capacity for the identification, planning and implementation of adaptation options and measures
  3. Increasing national capacity to access international funding for NAP priority areas
  4. Facilitating regional exchanges on NAP processes for francophone SSA LDCs

As the main responsible for the second activity, Climate Analytics accompanies national universities, research institutes and government agencies (so-called Climate Service Providers -CSPs) in conducting in-depth vulnerability studies and in identifying adaptation priorities and measures. Science-based documents such as briefings, reports and analyses and drafted jointly with the CSPs are submitted to policy-makers with the aim to increase the integration of scientific information into national policy formulation processes and more generally to support science-based decision-making in the region.