Rural Households' Vulnerability to Climate Variability and Adaptation Strategies in the Case of Begemdir District, Amhara Region, Ethiopia.

Abstract

Climate change vulnerability is the biggest threat to ecosystems and economies of the world. Hence, this study aims to assess the vulnerability to climate variability adaptation strategies of rural households in Begemdir District, Northwest Ethiopia. In this study, the cross-sectional research design was used to gain a wider and better understanding of vulnerability to climate variability. Both primary and secondary data were used to triangulate the study to maintain validity. A multi-stage random sampling technique was used to select 120 sample households from the study area. Moreover, climatic data, such as rainfall and temperature data were collected from meteorological stations. The data gathered from primary data sources analyzed by using descriptive statistics. Finally, a logistic regression model was employed to identify the factors that affecting households' decisions to climate adaptation strategies in the study area. The results of the study reveal that the overall IPCC-LVI score is 0.49, and the perceived rainfall has decreased over the last decade. This implies livelihoods of the households are vulnerable to climate variability and low adaptive capacity. The age, sex, education level, extension services, land size, credit access, access to climatic information, access to credit, and extension services affected significantly (p < 0.05) households' vulnerability to climate variability in the study area. Thus, the local governments, policymakers, non-governmental organizations, and farming communities need to consider these variables to realize climate change adaptation strategies in the study area. Moreover, higher focus should be given to enhancing education, expanding access to credit, increasing land management support, as well as strengthening extension services to build long-term sustainable climate-resilient practices and mitigate the impacts of climate change vulnerability to households in the study area.