The Role of Community Managed Watershed for Climate Variability Adaptation in Adwa, in the Case of ‘Mariamshewito’ Watershed

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Date

2014-06

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Addis Ababa University

Abstract

Currently, climate change and its impacts is a key issue in Ethiopia. Adaptation to climate change is making a system suitable to moderate the impact of climate change or deal with the consequence or to take advantage of new opportunities. In line with this, the thesis has assessed the role of community managed watershed for climate variability adaptation in Adwa in the case of mariamshewito Watershed. To address the above objective, the study uses both qualitative and quantitative data type. In order to collect valuable information, semi structured questionnaire, focus group discussion, key informant guide checklist, and observation tools from both primary and secondary data sources were applied. Similarly, different statistical methods such as percentage of frequencies, bar graphs, X 2 test, independent and paired sample T-Test and one way ANOVAs were used. The key finding of the thesis presents that due to different interventions the livelihood of the community was diversified and enhanced especially; income, soil fertility, crop productivity, forest, water and food availability become improved. Even if it has some gaps in the process of implementation such as lack of linkage between sectors, lack of targeting problem to address the poor, the young and the women, weak stakeholder linkage. It is concluded that the watershed management can play a significant role to enhance household’s livelihood and cope with climate change impacts. Then, to fill the gap and go along the sustainability of the watershed, the study recommended based on the findings. Keywords: Climate Change, Climate variability Adaptation, Watershed Management, Livelihood Diversification Index (LDI), ANOVA, Paired and Independent T-Test and Chi- Square Test.

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Keywords

Climate Change, Climate variability Adaptation, Watershed Management, Livelihood Diversification Index (LDI), Paired and Independent T-Test and Chi- Square Test

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