Informations et ressources scientifiques
sur le développement des zones arides et semi-arides

Accueil du site → Master → Kenya → 2010 → Community participation in drought preparedness and mitigaion through Community Based Livestock Early Warning System : a case study of Dabel Community Moyale district

St. Paul’s University, Kenya (2010)

Community participation in drought preparedness and mitigaion through Community Based Livestock Early Warning System : a case study of Dabel Community Moyale district

Alla, Osman Ibrahim

Titre : Community participation in drought preparedness and mitigaion through Community Based Livestock Early Warning System : a case study of Dabel Community Moyale district

Auteur : Alla, Osman Ibrahim

Université de soutenance : St. Paul’s University, Kenya

Grade : Master of Arts 2010

Résumé
Livestock production under age-old nomadic knowledge is the main feature of pastoralism in Northern Kenya. Drought and the breakdown Of traditional coping regimes, according to countless studies done in these regions is the most debilitating hurdle facing food security and economic wellbeing. Attempts by various non-state actors to entrench drought early warning structures mostly flounder due to underfunding. In the last five years a Community Based Livestock Early Warning Systems has been active in arid and semi arid districts of Kenya. This study using qualitative research design was used to identify the features that impact the indicators, collection, analysis, packaging and dissemination channels used in the Dabel benchmark site of Moyale district. Primarily, the study sought to document the level of community participation in the preparation of early warning bulletins. The secondary aim of the study was to ascertain the magnitude of community uptake of early warning information and factors affecting such uptake, as well as the impact of the factors in response time, design and appropriateness. Forty two (42) respondents participated in the research. The following research tools were employed ; questionnaires, key informants checklist, focus group discussions for primary data collection. Secondary data was accessed from technical reports, and sectoral literature. Analysis was both interpretive and descriptive, basic statistical tools such as bar graphs and pie charts were used. Based on the study 79% of respondents were aware of the initiative, and 69% acknowledged community involvement. At the benchmark site only 33% reported strong community involvement. Another 36% of the respondents felt the indicators used are familiar, however 17% disagreed. 46% acknowledged that the early warning system is effective. However, 62% reported dissatisfaction over the frequency of bulletin dissemination. It is concluded that a community based livestock early warning system, which is current, consistent, inclusive and enriches decision making for disaster preparation can significantly empower pastoralist communities and dramatically reduce suffering and vulnerability to climate change and resource scarcity.

Mots clés : Drought ; Livestock ; Pastoralists ; Livestock Early Warning System ; Dabel, Moyale District

Présentation (Research Kenya)

Page publiée le 2 décembre 2013, mise à jour le 21 février 2018