Abstract:
Drought was one of the most damaging climate-induced threats impacting the lives of many 
people every year in general and study area in particular. The purpose of this study was to 
determine adaptation strategies of smallholder farmer to impacts of drought based on the field 
survey in Fedis district of East Hararghe zone of Oromia regional state. A total of 359 sample 
respondents were selected by stratified random sampling methods. The study also used 
climate data of daily precipitation of rainfall from 1995 to 2021 to assess and identify 
Frequency and magnitude severity of recurrent drought hazard. The collected data were 
analyzed and interpreted by qualitative and quantitative methods such as descriptive statistics 
(mean, standard deviation, frequency, percentage, Bar graph and pie chart) and standardized 
precipitation index by using statistical package for social science version 20 software. 
Moreover, multinomial Logit model (MNL) was employed to analyze the determinant factors 
of drought hazard . Impacts of droughts has a direct negative impact on forage growth which 
was direct impact cattle fattening. Cattle fattening practice in Ethiopia categorized in to three 
major fattening systems. Such as traditional system, By-product Based fattening and the 
Hararghe fattening In order to adapt the impact of drought hazard smallholder farmers have 
been using a variety of strategies including Short-term growing crop variety, crop 
diversification, growing drought tolerant crop, Selling some animals. Results from choice 
MNL model indicated that gender, age, level of education, Family size, source of income, 
access to early warning information and livelihood diversification influence smallholder 
farmer choices at 1%, 5% and 10% significance level.. If the responses of smallholder farmers 
to drought hazard are not well supported by the concerned bodies, the existing disaster 
preparedness and early warning systems in the area might not be enough to significantly 
mitigate the effects of drought and its impacts will be very serious on both the livelihood of 
local people and natural resources of the study area.