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Drought patterns: their spatiotemporal variability and impacts on maize production in Limpopo province, South Africa
Due to global climate change, droughts are likely to become more frequent and more severe in many regions such as in South Africa. In Limpopo, observed high climate variability and projected future climate change will likely increase future maize production risks. This paper evaluates drought patter...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758106/ https://www.ncbi.nlm.nih.gov/pubmed/36474028 http://dx.doi.org/10.1007/s00484-022-02392-1 |
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author | Ferreira, Nicole Costa Resende Rötter, Reimund Paul Bracho-Mujica, Gennady Nelson, William C. D. Lam, Quang Dung Recktenwald, Claus Abdulai, Isaaka Odhiambo, Jude Foord, Stefan |
author_facet | Ferreira, Nicole Costa Resende Rötter, Reimund Paul Bracho-Mujica, Gennady Nelson, William C. D. Lam, Quang Dung Recktenwald, Claus Abdulai, Isaaka Odhiambo, Jude Foord, Stefan |
author_sort | Ferreira, Nicole Costa Resende |
collection | PubMed |
description | Due to global climate change, droughts are likely to become more frequent and more severe in many regions such as in South Africa. In Limpopo, observed high climate variability and projected future climate change will likely increase future maize production risks. This paper evaluates drought patterns in Limpopo at two representative sites. We studied how drought patterns are projected to change under future climatic conditions as an important step in identifying adaptation measures (e.g., breeding maize ideotypes resilient to future conditions). Thirty-year time horizons were analyzed, considering three emission scenarios and five global climate models. We applied the WOFOST crop model to simulate maize crop growth and yield formation over South Africa’s summer season. We considered three different crop emergence dates. Drought indices indicated that mainly in the scenario SSP5-8.5 (2051–2080), Univen and Syferkuil will experience worsened drought conditions (DC) in the future. Maize yield tends to decline and future changes in the emergence date seem to impact yield significantly. A possible alternative is to delay sowing date to November or December to reduce the potential yield losses. The grain filling period tends to decrease in the future, and a decrease in the duration of the growth cycle is very likely. Combinations of changed sowing time with more drought tolerant maize cultivars having a longer post-anthesis phase will likely reduce the potential negative impact of climate change on maize. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00484-022-02392-1. |
format | Online Article Text |
id | pubmed-9758106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-97581062022-12-18 Drought patterns: their spatiotemporal variability and impacts on maize production in Limpopo province, South Africa Ferreira, Nicole Costa Resende Rötter, Reimund Paul Bracho-Mujica, Gennady Nelson, William C. D. Lam, Quang Dung Recktenwald, Claus Abdulai, Isaaka Odhiambo, Jude Foord, Stefan Int J Biometeorol Original Paper Due to global climate change, droughts are likely to become more frequent and more severe in many regions such as in South Africa. In Limpopo, observed high climate variability and projected future climate change will likely increase future maize production risks. This paper evaluates drought patterns in Limpopo at two representative sites. We studied how drought patterns are projected to change under future climatic conditions as an important step in identifying adaptation measures (e.g., breeding maize ideotypes resilient to future conditions). Thirty-year time horizons were analyzed, considering three emission scenarios and five global climate models. We applied the WOFOST crop model to simulate maize crop growth and yield formation over South Africa’s summer season. We considered three different crop emergence dates. Drought indices indicated that mainly in the scenario SSP5-8.5 (2051–2080), Univen and Syferkuil will experience worsened drought conditions (DC) in the future. Maize yield tends to decline and future changes in the emergence date seem to impact yield significantly. A possible alternative is to delay sowing date to November or December to reduce the potential yield losses. The grain filling period tends to decrease in the future, and a decrease in the duration of the growth cycle is very likely. Combinations of changed sowing time with more drought tolerant maize cultivars having a longer post-anthesis phase will likely reduce the potential negative impact of climate change on maize. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00484-022-02392-1. Springer Berlin Heidelberg 2022-12-07 2023 /pmc/articles/PMC9758106/ /pubmed/36474028 http://dx.doi.org/10.1007/s00484-022-02392-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Original Paper Ferreira, Nicole Costa Resende Rötter, Reimund Paul Bracho-Mujica, Gennady Nelson, William C. D. Lam, Quang Dung Recktenwald, Claus Abdulai, Isaaka Odhiambo, Jude Foord, Stefan Drought patterns: their spatiotemporal variability and impacts on maize production in Limpopo province, South Africa |
title | Drought patterns: their spatiotemporal variability and impacts on maize production in Limpopo province, South Africa |
title_full | Drought patterns: their spatiotemporal variability and impacts on maize production in Limpopo province, South Africa |
title_fullStr | Drought patterns: their spatiotemporal variability and impacts on maize production in Limpopo province, South Africa |
title_full_unstemmed | Drought patterns: their spatiotemporal variability and impacts on maize production in Limpopo province, South Africa |
title_short | Drought patterns: their spatiotemporal variability and impacts on maize production in Limpopo province, South Africa |
title_sort | drought patterns: their spatiotemporal variability and impacts on maize production in limpopo province, south africa |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758106/ https://www.ncbi.nlm.nih.gov/pubmed/36474028 http://dx.doi.org/10.1007/s00484-022-02392-1 |
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