Spatiotemporal drought analysis and crop modeling to decipher risks and adaptation strategies in Ethiopia
Smallholder farmers in Ethiopia are particularly vulnerable to climate change due to uncertainty in crop yield because of increased temperatures. Thus, understanding agricultural producers' coping and adaptation strategies to weather shocks is important for better evaluating the impact of climate change on agricultural production and food security (Janssens et al., 2020; Delacote et al., 2021; Gouel and Laborde, 2021). This study analyzes spatiotemporal drought in Ethiopia using remote sensing based drought indices and models maize yield to understand the crop performance under climate change. We tested variations in sowing dates and plant density against conventional practices and evaluated the relative gains using an ex ante analysis. In Ethiopia, we identified that scaling out of climate smart agronomic interventions can be beneficial for rainfed maize crop. There is urgent need for context specific climate adaptation and scaling using the enabling environments provided by the national policies.
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CGIAR FOCUS Climate Security
2022-11-30
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Subjects: | climate change adaptation, agriculture, drought, resilience, water, climate change, |
Online Access: | https://hdl.handle.net/10568/127864 |
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dig-cgspace-10568-1278642023-12-08T19:36:04Z Spatiotemporal drought analysis and crop modeling to decipher risks and adaptation strategies in Ethiopia Pokhariyal, Shweta Govind, Ajit climate change adaptation agriculture drought resilience water climate change Smallholder farmers in Ethiopia are particularly vulnerable to climate change due to uncertainty in crop yield because of increased temperatures. Thus, understanding agricultural producers' coping and adaptation strategies to weather shocks is important for better evaluating the impact of climate change on agricultural production and food security (Janssens et al., 2020; Delacote et al., 2021; Gouel and Laborde, 2021). This study analyzes spatiotemporal drought in Ethiopia using remote sensing based drought indices and models maize yield to understand the crop performance under climate change. We tested variations in sowing dates and plant density against conventional practices and evaluated the relative gains using an ex ante analysis. In Ethiopia, we identified that scaling out of climate smart agronomic interventions can be beneficial for rainfed maize crop. There is urgent need for context specific climate adaptation and scaling using the enabling environments provided by the national policies. 2022-11-30 2023-01-23T10:25:57Z 2023-01-23T10:25:57Z Report Pokhariyal, S. and Govind, A. 2022. Spatiotemporal drought analysis and crop modeling to decipher risks and adaptation strategies in Ethiopia. Rome, Italy: CGIAR Initiative on Climate Resilience. https://hdl.handle.net/10568/127864 en https://hdl.handle.net/10568/117616 Other Open Access 22 p. application/pdf CGIAR FOCUS Climate Security |
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climate change adaptation agriculture drought resilience water climate change climate change adaptation agriculture drought resilience water climate change Pokhariyal, Shweta Govind, Ajit Spatiotemporal drought analysis and crop modeling to decipher risks and adaptation strategies in Ethiopia |
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Smallholder farmers in Ethiopia are particularly vulnerable to climate change due to uncertainty in crop yield because of increased temperatures. Thus, understanding agricultural producers' coping and adaptation strategies to weather shocks is important for better evaluating the impact of climate change on agricultural production and food security (Janssens et al., 2020; Delacote et al., 2021; Gouel and Laborde, 2021). This study analyzes spatiotemporal drought in Ethiopia using remote sensing based drought indices and models maize yield to understand the crop performance under climate change. We tested variations in sowing dates and plant density against conventional practices and evaluated the relative gains using an ex ante analysis. In Ethiopia, we identified that scaling out of climate smart agronomic interventions can be beneficial for rainfed maize crop. There is urgent need for context specific climate adaptation and scaling using the enabling environments provided by the national policies. |
format |
Report |
topic_facet |
climate change adaptation agriculture drought resilience water climate change |
author |
Pokhariyal, Shweta Govind, Ajit |
author_facet |
Pokhariyal, Shweta Govind, Ajit |
author_sort |
Pokhariyal, Shweta |
title |
Spatiotemporal drought analysis and crop modeling to decipher risks and adaptation strategies in Ethiopia |
title_short |
Spatiotemporal drought analysis and crop modeling to decipher risks and adaptation strategies in Ethiopia |
title_full |
Spatiotemporal drought analysis and crop modeling to decipher risks and adaptation strategies in Ethiopia |
title_fullStr |
Spatiotemporal drought analysis and crop modeling to decipher risks and adaptation strategies in Ethiopia |
title_full_unstemmed |
Spatiotemporal drought analysis and crop modeling to decipher risks and adaptation strategies in Ethiopia |
title_sort |
spatiotemporal drought analysis and crop modeling to decipher risks and adaptation strategies in ethiopia |
publisher |
CGIAR FOCUS Climate Security |
publishDate |
2022-11-30 |
url |
https://hdl.handle.net/10568/127864 |
work_keys_str_mv |
AT pokhariyalshweta spatiotemporaldroughtanalysisandcropmodelingtodecipherrisksandadaptationstrategiesinethiopia AT govindajit spatiotemporaldroughtanalysisandcropmodelingtodecipherrisksandadaptationstrategiesinethiopia |
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1787229987449864192 |