Land use and climate change adaptation strategies in Kenya |
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Authors: | Aggrey Ochieng Adimo John Bosco Njoroge Leaven Claessens Leonard S Wamocho |
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Institution: | (1) Department of Horticulture, Jomo Kenyatta University of Agriculture and Technology, P.O. BOX 62000, 00200 Nairobi, Kenya;(2) Jomo Kenyatta University of Agriculture and Technology Kenya, Nairobi, Kenya;(3) International Potato Center (CIP), Nairobi, Kenya |
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Abstract: | Climate variability and change mitigation and adaptation policies need to prioritize land users needs at local level because
it is at this level that impact is felt most. In order to address the challenge of socio-economic and unique regional geographical
setting, a customized methodological framework was developed for application in assessment of climate change vulnerability
perception and adaptation options around the East African region. Indicators of climate change and variability most appropriate
for the region were derived from focused discussions involving key informants in various sectors of the economy drawn from
three East African countries. Using these indicators, a structured questionnaire was developed from which surveys and interviews
were done on selected sample of target population of farming communities in the Mt. Kenya region. The key highlights of the
questionnaire were vulnerability and adaptation. Data obtained from respondents was standardized and subjected to multivariate
and ANOVA analysis. Based on principle component analysis (PCA), two main vulnerability categories were identified namely
the social and the bio-physical vulnerability indicators. Analysis of variance using Kruskal-Wallis test showed significant
statistical variation (P ≤ 0.05) in the perceived vulnerability across the spatial distribution of the 198 respondents. Three insights were distinguished
and were discernible by agro-ecological zones. Different vulnerability profiles and adaptive capacity profiles were generated
demonstrating the need for prioritizing adaptation and mitigation efforts at local level. There was a high correlation between
the bio-physical and social factor/livelihood variables that were assessed. |
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