Smallholder farmers' adaptation to climate change and determinants of their adaptation decisions in the Central Rift Valley of Ethiopia
Belay, Abrham, Recha, John W., Woldeamanuel, Teshale and Morton, John F. ORCID: 0000-0002-8013-5794 (2017) Smallholder farmers' adaptation to climate change and determinants of their adaptation decisions in the Central Rift Valley of Ethiopia. Agriculture & Food Security, 6 (24). ISSN 2048-7010 (Online) (doi:https://doi.org/10.1186/s40066-017-0100-1)
|
PDF (Publisher's PDF - Open Access)
16585 MORTON_Central_Rift_Valley_of_Ethiopia_2017.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
Background: The agricultural sector remains the main source of livelihoods for rural communities in Ethiopia, but faces the challenge of changing climate. This study investigated how smallholder farmers perceive climate change, what adaptation strategies they practice, and factors that influence their adaptation decisions. Both primary and secondary data were used for the study, and a multinomial logit model was employed to identify the factors that shape smallholder farmers’ adaptation strategies.
Results: The results show that 90% of farmers have already perceived climate variability, and 85% made attempts to adapt using practices like crop diversification, planting date adjustment, soil and water conservation and management, increasing the intensity of input use, integrating crop with livestock, and tree planting. The econometric model indicated that education, family size, gender, age, livestock ownership, farming experience, frequency of contact with extension agents, farm size, access to market, access to climate information and income were the key factors determining farmers’ choice of adaptation practice.
Conclusion: In the Central Rift Valley of Ethiopia, climate change is a pressing problem, which is beyond the capacity of smallholders to respond to autonomously. Farmers’ capacity to choose effective adaptation options is influenced by household demography, as well as positively by farm size, income, access to markets, access to climate information and extension, and livestock production. This implies the need to support the indigenous adaptation strategies of the smallholder farmers with a wide range of institutional, policy, and technology support; some of it targeted on smaller, poorer or female-headed households. Moreover, creating opportunities for non-farm income sources is important as this helps farmers to engage in those activities that are less sensitive to climate change. Furthermore, providing climate change information, extension services, and creating access to markets are crucial.
Item Type: | Article |
---|---|
Additional Information: | © The Author(s) 2017. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
Uncontrolled Keywords: | Climate change; Smallholders; Agriculture; Ethiopia |
Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences S Agriculture > S Agriculture (General) |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > Natural Resources Institute Faculty of Engineering & Science > Natural Resources Institute > Development Studies Research Group Faculty of Engineering & Science > Natural Resources Institute > Livelihoods & Institutions Department |
Last Modified: | 27 Aug 2020 17:14 |
URI: | http://gala.gre.ac.uk/id/eprint/16585 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year