Analyse intégrée de la Vulnérabilité au Burundi

Analyse intégrée de la Vulnérabilité au Burundi
Bollin, Christina; Kerstin Fritzsche, Salvator Ruzima, Stefan Schneiderbauer, Daniel Becker, Lydia Pedoth et Stefan Liersch 2014: Analyse intégrée de la Vulnérabilité au Burundi. Bujumbura: GIZ.

August 2014 saw the publication of the "Vulnerability Sourcebook", a standardised and at the same time flexible method of vulnerability analysis which will work as a starting point for Germany’s National Adaptation Plans (NAP). This comprehensive guide, which has been developed by adelphi and partners on behalf of GIZ, provides both a scientific basis and practical tips for the planning of adaptation strategies, as well as for their impact monitoring and evaluation.

Today, Burundi already counts itself amongst the poorest countries in the world. Livelihoods, which are to a large extent dependent on the weather, will be put in even greater danger by climate change; adaptation to higher temperatures, increased precipitation variability and extreme weather events is urgently needed. Against this backdrop, adelphi conducted an integrated vulnerability analysis at both the national and local levels, in collaboration with the European Academy of Bozen (EURAC) and the Potsdam Institute for Climate Impact Research (PIK) and on behalf of GIZ.

The first stage saw a national vulnerability analysis with a focus on vulnerability in subsistence farming and malaria-related risks. The vulnerability maps generated during this process facilitated the identification of regions of particularly high sensitivity to climate change (hotspots). The second stage built further upon this work, identifying three hotspot regions and conducting detailed, participatory vulnerability analyses.

Results from the two-stage analysis were of great interest to the Burundian partners, supporting development and monitoring of concrete adaptation measures in the hotspot regions. They were documented in a three-volume report and in the summary of early developments made in work on climate projection: