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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Main Authors: Pokhariyal, Shweta, Govind, Ajit
Format: Report biblioteca
Language:English
Published: CGIAR FOCUS Climate Security 2022-11-30
Subjects:climate change adaptation, agriculture, drought, resilience, water, climate change,
Online Access:https://hdl.handle.net/10568/127864
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spelling 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
institution CGIAR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cgspace
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CGIAR
language English
topic climate change adaptation
agriculture
drought
resilience
water
climate change
climate change adaptation
agriculture
drought
resilience
water
climate change
spellingShingle 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
description 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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