Determinants of ecosystem-based adaptation to drought in the central cattle corridor of Uganda
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
African Journal of Agricultural Research
Abstract
Ecosystem-based Adaptation (EbA) is widely recognised as an important strategy for strengthening
climate change resilience. Nevertheless, there is limited evidence on the factors that facilitate or impede
EbA for ecosystem services, adaptation benefits and livelihood improvement. In this study, the
determinants of EbA to drought were assessed. A mixed quantitative and qualitative cross-sectional
survey among 183 farmer households was undertaken in the central cattle corridor of Uganda. The
majority of the interviewed respondents were female (60.1%) who mainly carried out agro-pastoral
farming (63.4%), a practice 83.2% of them learned through indigenous knowledge transfer. A
multinomial logit (MNL) model based analysis was used to establish the determinants of EbA to
drought. Ecosystem services, adaptation benefits and livelihood improvement were each made a base
category thus yielding three MNL models. The significant (p<0.05) factors from all the three MNL models
for EbA to drought were access to extension services, time (hours) spent daily on farm by farmers, land
size under crop farming, type of major agricultural activity, average annual income, membership to
farmer organisation and use of indigenous knowledge. These factors provide a vital knowledge base for
fostering EbA policy formulation and implementation among agro-pastoral farmers to increase their
resilience to drought. Climate change adaptation initiatives, institutions and governments should
support education and information dissemination about EbA to farmers particularly in rangeland areas.
Description
Keywords
Determinants, Drought, Ecosystem-based adaptation, Multinomial Logit model, Rangeland, Uganda
Citation
Nanfuka, S., Mfitumukiza, D., & Egeru, A. (2020). Determinants of ecosystem-based adaptation to drought in the central cattle corridor of Uganda. African Journal of Agricultural Research , 16 (7), 1033-1043. DOI: 10.5897/AJAR2020.14919