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Localization and characterization of populations vulnerable to climate change: Two case studies in Sub-Saharan Africa
Institution:1. Department of Economics, University of Bologna, Piazza Scaravilli 2, 40126 Bologna, Italy;2. International Institute of Social Studies of Erasmus University Rotterdam, Kortenaerkade 12, 2518 AX The Hague, Netherlands;1. University of Naples Federico II, Department of Architecture, via Toledo 402, 80134, Naples, Italy;2. University of Naples Federico II, Interdepartmental Research Centre in Urban Planning “Alberto Calza Bini”, via Toledo 402, 80134, Naples, Italy;3. Euro-Mediterranean Center on Climate Change, REMHI Division - Regional Models and geo-Hydrological Impacts, via Maiorise, 81043, Capua, CE, Italy;1. Department of Foreign Languages, University of Bergen, P.B. 7805, NO-5020 Bergen, Norway;2. International Institute of Social Studies, Erasmus University Rotterdam, PO Box 29776, NL 2502 LT The Hague, The Netherlands;3. Senior Principal Scientist, Climate Change Program, DNV GL Strategic Research and Innovation, Veritas veien 1, NO-1308 Høvik, Norway;1. Office for Climate Change, Environment, and Disaster Risk Reduction, United Nations World Food Programme, Via C.G. Viola 68/70, Rome, 00148, Italy;2. UK Met Office Hadley Centre, Fitzroy Road, Exeter, EX1 3PB, United Kingdom;1. School of Economic & Management, Beijing Forestry University, Beijing 100083, China;2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;3. Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing 100101, China;4. University of Chinese Academy of Sciences, Beijing 100049, China;5. School of Environment, Beijing Normal University, Beijing 100875, China
Abstract:Future climate change potentially can have a strong impact on the African continent. Of special concern are the effects on food security and the restricted adaptive capacity of Africa's poverty stricken population. Targeted policy interventions are, therefore, of vital importance. While there is a broad consensus on selection of climate and agricultural indicators, a coherent spatial representation of the populations' vulnerability is still subject to debate, basically because important drivers at household and institutional level are captured at the coarser (sub)-national level only. This paper aims to address this shortcoming by capitalizing on available spatially explicit information on households, food security institutions and natural resources to identify and characterize vulnerable groups in climate change prone areas of East and West Africa. First, we identify and localize groups with varying degrees of vulnerability, using food security and health indicators from georeferenced household surveys. Second, we characterize these vulnerable groups using statistical techniques that report on the frequency of occurrence of household characteristics, social bonding, remittances and agro-ecological endowments. Third we localize areas where climate change conditions affect production of major staple crops even after a maximum adaptation of crop rotations. Fourth, we characterize the vulnerable groups in the climate change affected areas and compare their profiles with the overall assessment to elucidate whether generic or climate change targeted policies are required. Since climate change will impact predominantly on agricultural production, our analysis focuses on the rural areas. For West Africa, we find that vulnerable groups in areas likely to be affected by climate change do not fundamentally differ from vulnerable groups in the study area in general. However, in East Africa there are remarkable differences between these groups which leads to the conclusion that in this part of Africa, poverty reducing strategies for climate change affected areas should differ from generic ones.
Keywords:Climate change  Sub Saharan Africa  Profiling vulnerability  Coping  Integrated statistical analysis
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