%0 Journal Article
%T Local Knowledge and Perception of Smallholder Farmers on the Impacts of Climate Change and Their Adaptation Strategies in Shashogo District, Central Ethiopia
%A Tamrat Lolaso
%A Assef Engdawork
%A Teshale Woldeamanuel
%J Open Access Library Journal
%V 11
%N 6
%P 1-17
%@ 2333-9721
%D 2024
%I Open Access Library
%R 10.4236/oalib.1111611
%X This study aims to address the knowledge intelligence for local practices related to climate change forecasts and adaptations by exploring community mecha-nisms for rainfall prediction and coping strategies for minimising the effects of climate change. Data on livelihood practices of climate change/ variability prediction, how respondents realise climate change and its impacts, and what mechanisms were practices for rainfall prediction, and adaptation strategies of climate change/variability were collected by using household head survey, which was conducted in a sample of four Kebele Administrations of Shashogo district. Data collection methods included key informant interviews, focus groups, field observations, and household surveys. Exploratory, descriptive, and critical methods of data analysis were used. The coming of rainfall and the season are predicted by communities using a variety of meteorological, en-vironmental, and social factors. The forecasting and predicting techniques that the household head respondents identified include wind direction, the presence of lightning or a rainbow, and cattle behaviour. In response to climate change and variation, the indigenous group uses a variety of climate adaptation ap-proaches, including tree-planting, mutual borrowing, and the adoption of regu-lations through social mechanisms. Predictive ability differs across Indigenous communities according to livestock behaviour, lightning occurrence, wind di-rection, and rainbows. A key component of wise climate adaptation is the val-idation of local area precipitation forecasting by the integration of scientific research with native precipitation forecasting. Politicians would additionally take into account the local practices of prediction mechanisms.
%K Adaptation
%K Climate Change
%K Indigenous
%K Prediction
%K Traditional Knowledge
%U http://www.oalib.com/paper/6823922