66-10
Invited Talk On Maize Model Intercomparisons for Climate Change Symposium.
See more from this Division: ASA Section: Climatology & Modeling
See more from this Session: Symposium-- Improving Tools to Assess Climate Change Effects On Crop Response: C x T x W Data Sets and Model Intercomparisons
Monday, November 4, 2013: 3:35 PM
Tampa Convention Center, Room 7
Simona Bassu1, Nadine Brisson1, Jean-Louis Durand2, Kenneth J. Boote3, Jon I Lizaso4, James W. Jones5, Cynthia Rosenzweig6, Alex C Ruane7, Myriam Adam8, Christian Baron9, Bruno Basso10, Christian Biernath11, Hendrik Boogaard12, Sjaak G. Conijn13, Marc Corbeels14, Delphine Deryng15, Giacomo De Sanctis16, Sebastian Gayler17, Patricio Grassini18, Jerry L. Hatfield19, Steven Hoek12, Roberto C. Izaurralde20, Raymond Jongschaap21, Armen R. Kemanian22, Kurt C. Kersebaum23, Naresh S. Kumar24, David Makowski1, Christoph Müller25, Claas Nendel26, Eckart Priesack27, María Virginia Pravia28, Hyung K. Soo29, Federico Sau4, Iurii Shcherbak30, Fulu Tao31, Edmar Teixeira32, Dennis J. Timlin33 and Katharina Waha25, (1)INRA, Thiverval-Grignon, France
(2)INRA, Lusignan, France
(3)Agronomy, University of Florida, Gainesville, FL
(4)Dep. Producción Vegetal, Univ. Politécnica of Madrid, Madrid, Spain
(5)Ag. and Bio. Engineering, University of Florida, Gainesville, FL
(6)NASA Goddard Institute of Space Studies, New York, NY
(7)NASA Goddard Institute for Space Studies, New York, NY
(8)CIRAD, UMR AGAP, Montpellier, France
(9)CIRAD, Montpellier, France
(10)Michigan State University, Michigan State University, East Lansing, MI
(11)Helmholtz Zentrum München, Neuherberg, Germany
(12)Wageningen University, Wageningen, Netherlands
(13)Wageningen University & Research Centre, Wageningen, Netherlands
(14)CIRAD, Montpellier cedex 5, FRANCE
(15)Tyndall Centre University of East Anglia, Norwich, United Kingdom
(16)INRA, Avignon, France
(17)Water & Earth System Science (WESS) Competence Cluster, Tübingen, Germany
(18)University of Nebraska-Lincoln, University of Nebraska-Lincoln, Lincoln, NE
(19)USDA-ARS National Laboratory for Agriculture and the Environment, Ames, IA
(20)Joint Global Change Research Institute, PNNL & University of Maryland, College Park, MD
(21)WUR-Plant Research International, Wageningen, Netherlands
(22)Plant Science, Pennsylvania State University, University Park, PA
(23)ZALF - Leibniz Centre for Agricultural Landscape Research, Müncheberg, Germany
(24)Centre for Environment Science and Climate Resilient Agriculture, New Delhi, India
(25)Potsdam Institute for Climate Impact Research, Potsdam, Germany
(26)ZALF - Leibniz Centre for Agricultural Landscape Research, Muencheberg, Germany
(27)PO Box 1129 Neuherberg, GSF - German Research Center for Environmental Health, Oberschleissheim, GERMANY
(28)Plant Science, The Pennsylvania State University, University Park, PA
(29)School of Environmental and Forest Sciences, Seattle, WA
(30)Department of Geological Sciences, Michigan State University, East Lansing, MI
(31)Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
(32)Sustainable Production, The New Zealand Institute for Plant & Food Research Limited, Lincoln, New Zealand
(33)10300 Baltimore Ave., USDA-ARS, Beltsville, MD
Abstract:
Simulation models can be used as strategic tools for evaluating the consequences of climate change on crop production and possible adaptations of crop management practices. Different models may differ in the predicted crop response to climate change factors, because physiological processes are variously represented across the different mechanistic models, due to different objectives and context in which they were designed. As part of the Agricultural Model Intercomparison and Improvement Project, a group of maize modelers explored model output sensitivity to climatic factors for 19 maize crop models across four sentinel sites chosen in four contrasting pedoclimatic zones of maize production: Lusignan (France), Ames (Iowa), Rio Verde (Brazil) and Morogoro (Tanzania). For each site, models were run with 30-year baseline measured weather as well as weather files modified for temperature and CO2. The sensitivity of models to temperature and CO2 were evaluated under both low input and high input information (initial conditions) for the sentinel sites. The crop models exhibited widely different simulations of yield under different climatic conditions. Nevertheless, the mean of the simulations across all 19 maize models well matched the experimental results. Also, the range of the simulated climate change effects on maize yield and interannual variations were highly dependent on the model and on the site. Importantly, the maize models generally showed the same response to climatic factors with minimal versus detailed information inputs. The maize models were generally similar in predicting shorter crop life cycle and reduced yields as temperature increased above ambient at each site. The models varied in their CO2 effects on yield and evapotranspiration, although the general trend was small yield increase and evapotranspiration decrease with rising CO2. The ability of ensemble modeling to simulate the response of maize to CO2, temperature and water will be discussed.
See more from this Division: ASA Section: Climatology & Modeling
See more from this Session: Symposium-- Improving Tools to Assess Climate Change Effects On Crop Response: C x T x W Data Sets and Model Intercomparisons