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How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield?
Durand, Jean-Louis1; Delusca, Kenel1; Boote, Ken2; Lizaso, Jon3; Manderscheid, Remy4; Weigel, Hans Johachim4; Ruane, Alex C.5; Rosenzweig, Cynthia5; Jones, Jim2; Ahuja, Laj6; Anapalli, Saseendran6; Basso, Bruno7; Baron, Christian8; Bertuzzi, Patrick9; Biernath, Christian10; Deryng, Delphine11; Ewert, Frank12; Gaiser, Thomas12; Gayler, Sebastian13; Heinlein, Florian10; Kersebaum, Kurt Christian14; Kim, Soo-Hyung15; Mueller, Christoph16; Nendel, Claas14; Olioso, Albert17; Priesack, Eckart10; Ramirez Villegas, Julian18,19; Ripoche, Dominique9; Rottert, Reimund P.20; Seidel, Sabine I.12; Srivastava, Amit12; Tao, Fulu20,21; Timlin, Dennis22; Twine, Tracy23; Wang, Enli24; Webber, Heidi12; Zhao, Zhigan25
2018-10-01
Source PublicationEUROPEAN JOURNAL OF AGRONOMY
ISSN1161-0301
Volume100Pages:67-75
Corresponding AuthorDurand, Jean-Louis(jean-louis.durand@inra.fr)
AbstractThis study assesses the ability of 21 crop models to capture the impact of elevated CO2 concentration ([CO2]) on maize yield and water use as measured in a 2-year Free Air Carbon dioxide Enrichment experiment conducted at the Thunen Institute in Braunschweig, Germany (Manderscheid et al., 2014). Data for ambient [CO2] and irrigated treatments were provided to the 21 models for calibrating plant traits, including weather, soil and management data as well as yield, grain number, above ground biomass, leaf area index, nitrogen concentration in biomass and grain, water use and soil water content. Models differed in their representation of carbon assimilation and evapotranspiration processes. The models reproduced the absence of yield response to elevated [CO2] under well-watered conditions, as well as the impact of water deficit at ambient [CO2], with 50% of models within a range of +/-1 Mg ha(-1) around the mean. The bias of the median of the 21 models was less than 1 Mg ha(-1). However under water deficit in one of the two years, the models captured only 30% of the exceptionally high [CO2] enhancement on yield observed. Furthermore the ensemble of models was unable to simulate the very low soil water content at anthesis and the increase of soil water and grain number brought about by the elevated [CO2] under dry conditions. Overall, we found models with explicit stomatal control on transpiration tended to perform better. Our results highlight the need for model improvement with respect to simulating transpirational water use and its impact on water status during the kernel-set phase. (C) 2017 Elsevier B.V. All rights reserved.
KeywordZea mays Atmospheric carbon dioxide concentration Multi-model ensemble Stomata conductance Grain number Water use
DOI10.1016/j.eja.2017.01.002
WOS KeywordCLIMATE-CHANGE ; ELEVATED CO2 ; FOOD SECURITY ; PHOTOSYNTHESIS ; RESPONSES ; IMPACTS ; PRODUCTIVITY ; ADAPTATION ; GROWTH ; LEAVES
Indexed BySCI
Language英语
Funding ProjectAdaptation of Agriculture and Forests to Climate Change (AAFCC) of the French National Institute for Agricultural Research (INRA)
Funding OrganizationAdaptation of Agriculture and Forests to Climate Change (AAFCC) of the French National Institute for Agricultural Research (INRA)
WOS Research AreaAgriculture
WOS SubjectAgronomy
WOS IDWOS:000453490900007
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/51284
Collection中国科学院地理科学与资源研究所
Corresponding AuthorDurand, Jean-Louis
Affiliation1.INRA, URP3F, Lusignan, France
2.Univ Florida, Gainesville, FL USA
3.Tech Univ Madrid, CEIGRAM, Madrid, Spain
4.Thunen Inst, Braunschweig, Germany
5.NASA, Goddard Inst Space Studies, New York, NY 10025 USA
6.USDA ARS, CPSRU, Stoneville, MS 38776 USA
7.Michigan State Univ, Dept Geol Sci, E Lansing, MI 48824 USA
8.CIRAD, UMR TETIS, Montpellier, France
9.INRA, Agroclim, Avignon, France
10.Helmholtz Zentrum Munchen, Inst Biochem Plant Pathol, Neuherberg, Germany
11.Univ Chicago, Computat Inst, Chicago, IL 60637 USA
12.Univ Bonn, Inst Crop Sci & Resource Conservat INRES, Bonn, Germany
13.Univ Hohenheim, Sect Biogeophys, Inst Soil Sci & Land Evaluat, Stuttgart, Germany
14.Leibniz Ctr Agr Landscape Res ZALF, Inst Landscape Syst Anal, Muncheberg, Germany
15.Univ Washington, Sch Environm & Forest Sci, Seattle, WA 98195 USA
16.Potsdam Inst Climate Impact Res, Potsdam, Germany
17.INRA, EMMAH, Avignon, France
18.Univ Leeds, Sch Earth & Environm, Leeds, W Yorkshire, England
19.Colombia Int Ctr Trop Agr CIAT, CGIAR Res Program Climate Change Agr & Food Secur, Cali, Colombia
20.Nat Resources Inst, Luke, Finland
21.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
22.USDA ARS, Crop Syst & Global Change Lab, Beltsville, MD USA
23.Univ Minnesota, Dept Soil Water & Climate, Minneapolis, MN 55455 USA
24.CSIRO, Land & Water, Black Mt, Australia
25.China Agr Univ, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Durand, Jean-Louis,Delusca, Kenel,Boote, Ken,et al. How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield?[J]. EUROPEAN JOURNAL OF AGRONOMY,2018,100:67-75.
APA Durand, Jean-Louis.,Delusca, Kenel.,Boote, Ken.,Lizaso, Jon.,Manderscheid, Remy.,...&Zhao, Zhigan.(2018).How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield?.EUROPEAN JOURNAL OF AGRONOMY,100,67-75.
MLA Durand, Jean-Louis,et al."How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield?".EUROPEAN JOURNAL OF AGRONOMY 100(2018):67-75.
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