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Spatio-Temporal Dynamics of Maize Yield Water Constraints under Climate Change in Spain
Many studies have analyzed the impact of climate change on crop productivity, but comparing the performance of water management systems has rarely been explored. Because water supply and crop demand in agro-systems may be affected by global climate change in shaping the spatial patterns of agricultu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4039498/ https://www.ncbi.nlm.nih.gov/pubmed/24878747 http://dx.doi.org/10.1371/journal.pone.0098220 |
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author | Ferrero, Rosana Lima, Mauricio Gonzalez-Andujar, Jose Luis |
author_facet | Ferrero, Rosana Lima, Mauricio Gonzalez-Andujar, Jose Luis |
author_sort | Ferrero, Rosana |
collection | PubMed |
description | Many studies have analyzed the impact of climate change on crop productivity, but comparing the performance of water management systems has rarely been explored. Because water supply and crop demand in agro-systems may be affected by global climate change in shaping the spatial patterns of agricultural production, we should evaluate how and where irrigation practices are effective in mitigating climate change effects. Here we have constructed simple, general models, based on biological mechanisms and a theoretical framework, which could be useful in explaining and predicting crop productivity dynamics. We have studied maize in irrigated and rain-fed systems at a provincial scale, from 1996 to 2009 in Spain, one of the most prominent “hot-spots” in future climate change projections. Our new approach allowed us to: (1) evaluate new structural properties such as the stability of crop yield dynamics, (2) detect nonlinear responses to climate change (thresholds and discontinuities), challenging the usual linear way of thinking, and (3) examine spatial patterns of yield losses due to water constraints and identify clusters of provinces that have been negatively affected by warming. We have reduced the uncertainty associated with climate change impacts on maize productivity by improving the understanding of the relative contributions of individual factors and providing a better spatial comprehension of the key processes. We have identified water stress and water management systems as being key causes of the yield gap, and detected vulnerable regions where efforts in research and policy should be prioritized in order to increase maize productivity. |
format | Online Article Text |
id | pubmed-4039498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40394982014-06-02 Spatio-Temporal Dynamics of Maize Yield Water Constraints under Climate Change in Spain Ferrero, Rosana Lima, Mauricio Gonzalez-Andujar, Jose Luis PLoS One Research Article Many studies have analyzed the impact of climate change on crop productivity, but comparing the performance of water management systems has rarely been explored. Because water supply and crop demand in agro-systems may be affected by global climate change in shaping the spatial patterns of agricultural production, we should evaluate how and where irrigation practices are effective in mitigating climate change effects. Here we have constructed simple, general models, based on biological mechanisms and a theoretical framework, which could be useful in explaining and predicting crop productivity dynamics. We have studied maize in irrigated and rain-fed systems at a provincial scale, from 1996 to 2009 in Spain, one of the most prominent “hot-spots” in future climate change projections. Our new approach allowed us to: (1) evaluate new structural properties such as the stability of crop yield dynamics, (2) detect nonlinear responses to climate change (thresholds and discontinuities), challenging the usual linear way of thinking, and (3) examine spatial patterns of yield losses due to water constraints and identify clusters of provinces that have been negatively affected by warming. We have reduced the uncertainty associated with climate change impacts on maize productivity by improving the understanding of the relative contributions of individual factors and providing a better spatial comprehension of the key processes. We have identified water stress and water management systems as being key causes of the yield gap, and detected vulnerable regions where efforts in research and policy should be prioritized in order to increase maize productivity. Public Library of Science 2014-05-30 /pmc/articles/PMC4039498/ /pubmed/24878747 http://dx.doi.org/10.1371/journal.pone.0098220 Text en © 2014 Ferrero et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Ferrero, Rosana Lima, Mauricio Gonzalez-Andujar, Jose Luis Spatio-Temporal Dynamics of Maize Yield Water Constraints under Climate Change in Spain |
title | Spatio-Temporal Dynamics of Maize Yield Water Constraints under Climate Change in Spain |
title_full | Spatio-Temporal Dynamics of Maize Yield Water Constraints under Climate Change in Spain |
title_fullStr | Spatio-Temporal Dynamics of Maize Yield Water Constraints under Climate Change in Spain |
title_full_unstemmed | Spatio-Temporal Dynamics of Maize Yield Water Constraints under Climate Change in Spain |
title_short | Spatio-Temporal Dynamics of Maize Yield Water Constraints under Climate Change in Spain |
title_sort | spatio-temporal dynamics of maize yield water constraints under climate change in spain |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4039498/ https://www.ncbi.nlm.nih.gov/pubmed/24878747 http://dx.doi.org/10.1371/journal.pone.0098220 |
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