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Impact of climate extreme events and their causality on maize yield in South Africa

Extreme climate events can have a significant negative impact on maize productivity, resulting in food scarcity and socioeconomic losses. Thus, quantifying their effect is needed for developing future adaptation and mitigation strategies, especially for countries relying on maize as a staple crop, s...

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Autores principales: Simanjuntak, Christian, Gaiser, Thomas, Ahrends, Hella Ellen, Ceglar, Andrej, Singh, Manmeet, Ewert, Frank, Srivastava, Amit Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393995/
https://www.ncbi.nlm.nih.gov/pubmed/37528122
http://dx.doi.org/10.1038/s41598-023-38921-0
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author Simanjuntak, Christian
Gaiser, Thomas
Ahrends, Hella Ellen
Ceglar, Andrej
Singh, Manmeet
Ewert, Frank
Srivastava, Amit Kumar
author_facet Simanjuntak, Christian
Gaiser, Thomas
Ahrends, Hella Ellen
Ceglar, Andrej
Singh, Manmeet
Ewert, Frank
Srivastava, Amit Kumar
author_sort Simanjuntak, Christian
collection PubMed
description Extreme climate events can have a significant negative impact on maize productivity, resulting in food scarcity and socioeconomic losses. Thus, quantifying their effect is needed for developing future adaptation and mitigation strategies, especially for countries relying on maize as a staple crop, such as South Africa. While several studies have analyzed the impact of climate extremes on maize yields in South Africa, little is known on the quantitative contribution of combined extreme events to maize yield variability and the causality link of extreme events. This study uses existing stress indices to investigate temporal and spatial patterns of heatwaves, drought, and extreme precipitation during maize growing season between 1986/87 and 2015/16 for South Africa provinces and at national level and quantifies their contribution to yield variability. A causal discovery algorithm was applied to investigate the causal relationship among extreme events. At the province and national levels, heatwaves and extreme precipitation showed no significant trend. However, drought severity increased in several provinces. The modified Combined Stress Index (CSIm) model showed that the maize yield nationwide was associated with drought events (explaining 25% of maize yield variability). Heatwaves has significant influence on maize yield variability (35%) in Free State. In North West province, the maize yield variability (46%) was sensitive to the combination of drought and extreme precipitation. The causal analysis suggests that the occurrence of heatwaves intensified drought, while a causal link between heatwaves and extreme precipitation was not detected. The presented findings provide a deeper insight into the sensitivity of yield data to climate extremes and serve as a basis for future studies on maize yield anomalies.
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spelling pubmed-103939952023-08-03 Impact of climate extreme events and their causality on maize yield in South Africa Simanjuntak, Christian Gaiser, Thomas Ahrends, Hella Ellen Ceglar, Andrej Singh, Manmeet Ewert, Frank Srivastava, Amit Kumar Sci Rep Article Extreme climate events can have a significant negative impact on maize productivity, resulting in food scarcity and socioeconomic losses. Thus, quantifying their effect is needed for developing future adaptation and mitigation strategies, especially for countries relying on maize as a staple crop, such as South Africa. While several studies have analyzed the impact of climate extremes on maize yields in South Africa, little is known on the quantitative contribution of combined extreme events to maize yield variability and the causality link of extreme events. This study uses existing stress indices to investigate temporal and spatial patterns of heatwaves, drought, and extreme precipitation during maize growing season between 1986/87 and 2015/16 for South Africa provinces and at national level and quantifies their contribution to yield variability. A causal discovery algorithm was applied to investigate the causal relationship among extreme events. At the province and national levels, heatwaves and extreme precipitation showed no significant trend. However, drought severity increased in several provinces. The modified Combined Stress Index (CSIm) model showed that the maize yield nationwide was associated with drought events (explaining 25% of maize yield variability). Heatwaves has significant influence on maize yield variability (35%) in Free State. In North West province, the maize yield variability (46%) was sensitive to the combination of drought and extreme precipitation. The causal analysis suggests that the occurrence of heatwaves intensified drought, while a causal link between heatwaves and extreme precipitation was not detected. The presented findings provide a deeper insight into the sensitivity of yield data to climate extremes and serve as a basis for future studies on maize yield anomalies. Nature Publishing Group UK 2023-08-01 /pmc/articles/PMC10393995/ /pubmed/37528122 http://dx.doi.org/10.1038/s41598-023-38921-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Simanjuntak, Christian
Gaiser, Thomas
Ahrends, Hella Ellen
Ceglar, Andrej
Singh, Manmeet
Ewert, Frank
Srivastava, Amit Kumar
Impact of climate extreme events and their causality on maize yield in South Africa
title Impact of climate extreme events and their causality on maize yield in South Africa
title_full Impact of climate extreme events and their causality on maize yield in South Africa
title_fullStr Impact of climate extreme events and their causality on maize yield in South Africa
title_full_unstemmed Impact of climate extreme events and their causality on maize yield in South Africa
title_short Impact of climate extreme events and their causality on maize yield in South Africa
title_sort impact of climate extreme events and their causality on maize yield in south africa
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393995/
https://www.ncbi.nlm.nih.gov/pubmed/37528122
http://dx.doi.org/10.1038/s41598-023-38921-0
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