Near-term climate change impacts on food crops productivity in East Africa
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704_2023_Article_4408.pdf
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12.41 MB
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Author(s)
Choi, Yeon-Woo
Eltahir, Elfatih A. B.
Date Issued
March 22, 2023
Publisher
Springer Vienna
Citation
Choi, Yeon-Woo and Eltahir, Elfatih A. B. 2023. "Near-term climate change impacts on food crops productivity in East Africa."
Version
Final published version
Abstract
Abstract
Crop production in East Africa (i.e., Sudan and Ethiopia), where economy relies largely on rainfed agriculture, is facing significant challenges due to climate change, population growth, and the slow adoption rate of agricultural technology. However, a lack of consensus exists on how near-term climate change may affect food crop productivity in the region through changes in temperature and precipitation. Here, we empirically estimate optimal-growing temperature and precipitation for a select group of food crops using historical observations. We then project climate change impacts on crop yields based on a non-parametric empirical crop model using, as input, results from high-resolution (20 km) regional climate model driven by CMIP5/CMIP6 global climate models. Our projections consistently show increases in growing season temperature and precipitation during 2021–2050 under RCP8.5 and SSP5-8.5 scenarios, relative to 1976–2000. However, the projected climate change will exert dramatically different impacts on the agricultural sectors across the region. That is, the significant warming would likely cause overall negative impacts on agriculture in Sudan and mixed impacts on agriculture in Ethiopia. Meanwhile, the weak wetting trend may marginally affect crop growth in East Africa. The negative impacts of climate change can be mitigated at least partially by an accelerating rate of adoption of agricultural technology (use of fertilizers, better seeds, etc.) and probably by horizontal expansion of croplands where precipitation is projected to increase. Our results suggest that East Africa will need to take proactive adaptation measures to mitigate the projected food production challenges.
MIT Department
Parsons Laboratory for Environmental Science and Engineering (Massachusetts Institute of Technology)
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1007/s00704-023-04408-1
