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Causes of variation among rice models in yield response to CO(2) examined with Free-Air CO(2) Enrichment and growth chamber experiments
The CO(2) fertilization effect is a major source of uncertainty in crop models for future yield forecasts, but coordinated efforts to determine the mechanisms of this uncertainty have been lacking. Here, we studied causes of uncertainty among 16 crop models in predicting rice yield in response to el...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5666007/ https://www.ncbi.nlm.nih.gov/pubmed/29093514 http://dx.doi.org/10.1038/s41598-017-13582-y |
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author | Hasegawa, Toshihiro Li, Tao Yin, Xinyou Zhu, Yan Boote, Kenneth Baker, Jeffrey Bregaglio, Simone Buis, Samuel Confalonieri, Roberto Fugice, Job Fumoto, Tamon Gaydon, Donald Kumar, Soora Naresh Lafarge, Tanguy Marcaida III, Manuel Masutomi, Yuji Nakagawa, Hiroshi Oriol, Philippe Ruget, Françoise Singh, Upendra Tang, Liang Tao, Fulu Wakatsuki, Hitomi Wallach, Daniel Wang, Yulong Wilson, Lloyd Ted Yang, Lianxin Yang, Yubin Yoshida, Hiroe Zhang, Zhao Zhu, Jianguo |
author_facet | Hasegawa, Toshihiro Li, Tao Yin, Xinyou Zhu, Yan Boote, Kenneth Baker, Jeffrey Bregaglio, Simone Buis, Samuel Confalonieri, Roberto Fugice, Job Fumoto, Tamon Gaydon, Donald Kumar, Soora Naresh Lafarge, Tanguy Marcaida III, Manuel Masutomi, Yuji Nakagawa, Hiroshi Oriol, Philippe Ruget, Françoise Singh, Upendra Tang, Liang Tao, Fulu Wakatsuki, Hitomi Wallach, Daniel Wang, Yulong Wilson, Lloyd Ted Yang, Lianxin Yang, Yubin Yoshida, Hiroe Zhang, Zhao Zhu, Jianguo |
author_sort | Hasegawa, Toshihiro |
collection | PubMed |
description | The CO(2) fertilization effect is a major source of uncertainty in crop models for future yield forecasts, but coordinated efforts to determine the mechanisms of this uncertainty have been lacking. Here, we studied causes of uncertainty among 16 crop models in predicting rice yield in response to elevated [CO(2)] (E-[CO(2)]) by comparison to free-air CO(2) enrichment (FACE) and chamber experiments. The model ensemble reproduced the experimental results well. However, yield prediction in response to E-[CO(2)] varied significantly among the rice models. The variation was not random: models that overestimated at one experiment simulated greater yield enhancements at the others. The variation was not associated with model structure or magnitude of photosynthetic response to E-[CO(2)] but was significantly associated with the predictions of leaf area. This suggests that modelled secondary effects of E-[CO(2)] on morphological development, primarily leaf area, are the sources of model uncertainty. Rice morphological development is conservative to carbon acquisition. Uncertainty will be reduced by incorporating this conservative nature of the morphological response to E-[CO(2)] into the models. Nitrogen levels, particularly under limited situations, make the prediction more uncertain. Improving models to account for [CO(2)] × N interactions is necessary to better evaluate management practices under climate change. |
format | Online Article Text |
id | pubmed-5666007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56660072017-11-08 Causes of variation among rice models in yield response to CO(2) examined with Free-Air CO(2) Enrichment and growth chamber experiments Hasegawa, Toshihiro Li, Tao Yin, Xinyou Zhu, Yan Boote, Kenneth Baker, Jeffrey Bregaglio, Simone Buis, Samuel Confalonieri, Roberto Fugice, Job Fumoto, Tamon Gaydon, Donald Kumar, Soora Naresh Lafarge, Tanguy Marcaida III, Manuel Masutomi, Yuji Nakagawa, Hiroshi Oriol, Philippe Ruget, Françoise Singh, Upendra Tang, Liang Tao, Fulu Wakatsuki, Hitomi Wallach, Daniel Wang, Yulong Wilson, Lloyd Ted Yang, Lianxin Yang, Yubin Yoshida, Hiroe Zhang, Zhao Zhu, Jianguo Sci Rep Article The CO(2) fertilization effect is a major source of uncertainty in crop models for future yield forecasts, but coordinated efforts to determine the mechanisms of this uncertainty have been lacking. Here, we studied causes of uncertainty among 16 crop models in predicting rice yield in response to elevated [CO(2)] (E-[CO(2)]) by comparison to free-air CO(2) enrichment (FACE) and chamber experiments. The model ensemble reproduced the experimental results well. However, yield prediction in response to E-[CO(2)] varied significantly among the rice models. The variation was not random: models that overestimated at one experiment simulated greater yield enhancements at the others. The variation was not associated with model structure or magnitude of photosynthetic response to E-[CO(2)] but was significantly associated with the predictions of leaf area. This suggests that modelled secondary effects of E-[CO(2)] on morphological development, primarily leaf area, are the sources of model uncertainty. Rice morphological development is conservative to carbon acquisition. Uncertainty will be reduced by incorporating this conservative nature of the morphological response to E-[CO(2)] into the models. Nitrogen levels, particularly under limited situations, make the prediction more uncertain. Improving models to account for [CO(2)] × N interactions is necessary to better evaluate management practices under climate change. Nature Publishing Group UK 2017-11-01 /pmc/articles/PMC5666007/ /pubmed/29093514 http://dx.doi.org/10.1038/s41598-017-13582-y 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 Hasegawa, Toshihiro Li, Tao Yin, Xinyou Zhu, Yan Boote, Kenneth Baker, Jeffrey Bregaglio, Simone Buis, Samuel Confalonieri, Roberto Fugice, Job Fumoto, Tamon Gaydon, Donald Kumar, Soora Naresh Lafarge, Tanguy Marcaida III, Manuel Masutomi, Yuji Nakagawa, Hiroshi Oriol, Philippe Ruget, Françoise Singh, Upendra Tang, Liang Tao, Fulu Wakatsuki, Hitomi Wallach, Daniel Wang, Yulong Wilson, Lloyd Ted Yang, Lianxin Yang, Yubin Yoshida, Hiroe Zhang, Zhao Zhu, Jianguo Causes of variation among rice models in yield response to CO(2) examined with Free-Air CO(2) Enrichment and growth chamber experiments |
title | Causes of variation among rice models in yield response to CO(2) examined with Free-Air CO(2) Enrichment and growth chamber experiments |
title_full | Causes of variation among rice models in yield response to CO(2) examined with Free-Air CO(2) Enrichment and growth chamber experiments |
title_fullStr | Causes of variation among rice models in yield response to CO(2) examined with Free-Air CO(2) Enrichment and growth chamber experiments |
title_full_unstemmed | Causes of variation among rice models in yield response to CO(2) examined with Free-Air CO(2) Enrichment and growth chamber experiments |
title_short | Causes of variation among rice models in yield response to CO(2) examined with Free-Air CO(2) Enrichment and growth chamber experiments |
title_sort | causes of variation among rice models in yield response to co(2) examined with free-air co(2) enrichment and growth chamber experiments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5666007/ https://www.ncbi.nlm.nih.gov/pubmed/29093514 http://dx.doi.org/10.1038/s41598-017-13582-y |
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