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Global alterations in areas of suitability for maize production from climate change and using a mechanistic species distribution model (CLIMEX)

At the global level, maize is the third most important crop on the basis of harvested area. Given its importance, an assessment of the variation in regional climatic suitability under climate change is critical. CliMond 10′ data were used to model the potential current and future climate distributio...

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Autores principales: Ramirez-Cabral, Nadiezhda Y. Z., Kumar, Lalit, Shabani, Farzin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517596/
https://www.ncbi.nlm.nih.gov/pubmed/28724952
http://dx.doi.org/10.1038/s41598-017-05804-0
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author Ramirez-Cabral, Nadiezhda Y. Z.
Kumar, Lalit
Shabani, Farzin
author_facet Ramirez-Cabral, Nadiezhda Y. Z.
Kumar, Lalit
Shabani, Farzin
author_sort Ramirez-Cabral, Nadiezhda Y. Z.
collection PubMed
description At the global level, maize is the third most important crop on the basis of harvested area. Given its importance, an assessment of the variation in regional climatic suitability under climate change is critical. CliMond 10′ data were used to model the potential current and future climate distribution of maize at the global level using the CLIMEX distribution model with climate data from two general circulation models, CSIRO-Mk3.0 and MIROC-H, assuming an A2 emissions scenario for 2050 and 2100. The change in area under future climate was analysed at continental level and for major maize-producing countries of the world. Regions between the tropics of Cancer and Capricorn indicate the highest loss of climatic suitability, contrary to poleward regions that exhibit an increase of suitability. South America shows the highest loss of climatic suitability, followed by Africa and Oceania. Asia, Europe and North America exhibit an increase in climatic suitability. This study indicates that globally, large areas that are currently suitable for maize cultivation will suffer from heat and dry stresses that may constrain production. For the first time, a model was applied worldwide, allowing for a better understanding of areas that are suitable and that may remain suitable for maize.
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spelling pubmed-55175962017-07-20 Global alterations in areas of suitability for maize production from climate change and using a mechanistic species distribution model (CLIMEX) Ramirez-Cabral, Nadiezhda Y. Z. Kumar, Lalit Shabani, Farzin Sci Rep Article At the global level, maize is the third most important crop on the basis of harvested area. Given its importance, an assessment of the variation in regional climatic suitability under climate change is critical. CliMond 10′ data were used to model the potential current and future climate distribution of maize at the global level using the CLIMEX distribution model with climate data from two general circulation models, CSIRO-Mk3.0 and MIROC-H, assuming an A2 emissions scenario for 2050 and 2100. The change in area under future climate was analysed at continental level and for major maize-producing countries of the world. Regions between the tropics of Cancer and Capricorn indicate the highest loss of climatic suitability, contrary to poleward regions that exhibit an increase of suitability. South America shows the highest loss of climatic suitability, followed by Africa and Oceania. Asia, Europe and North America exhibit an increase in climatic suitability. This study indicates that globally, large areas that are currently suitable for maize cultivation will suffer from heat and dry stresses that may constrain production. For the first time, a model was applied worldwide, allowing for a better understanding of areas that are suitable and that may remain suitable for maize. Nature Publishing Group UK 2017-07-19 /pmc/articles/PMC5517596/ /pubmed/28724952 http://dx.doi.org/10.1038/s41598-017-05804-0 Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ramirez-Cabral, Nadiezhda Y. Z.
Kumar, Lalit
Shabani, Farzin
Global alterations in areas of suitability for maize production from climate change and using a mechanistic species distribution model (CLIMEX)
title Global alterations in areas of suitability for maize production from climate change and using a mechanistic species distribution model (CLIMEX)
title_full Global alterations in areas of suitability for maize production from climate change and using a mechanistic species distribution model (CLIMEX)
title_fullStr Global alterations in areas of suitability for maize production from climate change and using a mechanistic species distribution model (CLIMEX)
title_full_unstemmed Global alterations in areas of suitability for maize production from climate change and using a mechanistic species distribution model (CLIMEX)
title_short Global alterations in areas of suitability for maize production from climate change and using a mechanistic species distribution model (CLIMEX)
title_sort global alterations in areas of suitability for maize production from climate change and using a mechanistic species distribution model (climex)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517596/
https://www.ncbi.nlm.nih.gov/pubmed/28724952
http://dx.doi.org/10.1038/s41598-017-05804-0
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