[en] With the changing climate, soil waterlogging is a growing threat to food security. Yet, contemporary approaches employed in crop models to simulate waterlogging are in their infancy. By analysing 21 crop models, we show that critical deficiencies persist in accurately simulating capillary rise, crop resistance to transient periods of waterlogging, crop recovery mechanisms, and the effects on soil nitrogen processes, phenology and yield components. This hinders the ability of such models to reliably simulate the impacts of excessive soil moisture. Advanced crop modelling analytics will enable scenario analysis and, with time, farming systems adaptation to climate change and increasing frequency of crop failure due to waterlogging.
Disciplines :
Agriculture & agronomy
Author, co-author :
Garcia-Vila, Margarita ; Instituto de Agricultura Sostenible, CSIC, Córdoba, Spain. mgarcia-vila@ias.csic.es
Dos Santos Vianna, Murilo ; Institute of Bio- and Geosciences, Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, Jülich, Germany ; University of Bonn, Bonn, Germany
Harrison, Matthew Tom ; Tasmanian Institute of Agriculture, University of Tasmania, Launceston, Tasmania, Australia
Liu, Ke ; Tasmanian Institute of Agriculture, University of Tasmania, Launceston, Tasmania, Australia ; Yangtze University, Jingzhou, China
de S Nóia-Júnior, Rogério; LEPSE, Université de Montpellier, INRAE, Institut Agro Montpellier, Montpellier, France
Weber, Tobias K D ; University of Kassel, Kassel, Germany
Zhao, Jin; China Agricultural University, Beijing, China
Acutis, Marco ; University of Milan, Milan, Italy
Archontoulis, Sotirios ; Iowa State University, Ames, IA, USA
Asseng, Senthold ; Department of Life Science Engineering, Digital Agriculture, HEF World Agricultural Systems Center, Technical University of Munich, Munich, Germany
Aubry, Pierre ; Université de Liège - ULiège > TERRA Research Centre
Balkovic, Juraj ; International Institute for Applied Systems Analysis, Laxenburg, Austria
Basso, Bruno ; Michigan State University, East Lansing, MI, USA
Chen, Xianguan; Fujian Agriculture and Forestry University, Fuzhou, China
Chen, Yi; Chinese Academy of Sciences, Beijing, China
de Jong van Lier, Quirijn; University of São Paulo, Piracicaba, Brazil
Delandmeter, Mathieu ; Université de Liège - ULiège > Département GxABT > Plant Sciences
de Wit, Allard; Wageningen University and Research, Wageningen, the Netherlands
Dumont, Benjamin ; Université de Liège - ULiège > TERRA Research Centre > Plant Sciences
Ferrise, Roberto ; University of Florence, Florence, Italy
Folberth, Christian ; International Institute for Applied Systems Analysis, Laxenburg, Austria
Gabbrielli, Mara ; University of Milan, Milan, Italy
Gaiser, Thomas ; University of Bonn, Bonn, Germany
Gorooei, Aram; University of Bonn, Bonn, Germany
Hoogenboom, Gerrit ; University of Florida, Gainesville, FL, USA
Kersebaum, Kurt Christian ; Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany ; Global Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic
Kim, Yean-Uk ; Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
Liu, Bing ; National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Ministry of Education, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
Metselaar, Klaas; Wageningen University and Research, Wageningen, the Netherlands
Nendel, Claas ; Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany ; Global Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic ; Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
Padovan, Gloria; University of Florence, Florence, Italy
Perego, Alessia; University of Milan, Milan, Italy
Seserman, Diana Maria; Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
Shelia, Vakhtang; University of Florida, Gainesville, FL, USA
Stocca, Valentina; Department of Life Science Engineering, Digital Agriculture, HEF World Agricultural Systems Center, Technical University of Munich, Munich, Germany
Tao, Fulu ; Chinese Academy of Sciences, Beijing, China
Wang, Enli ; CSIRO Agriculture and Food, Canberra, Australian Capital Territory, Australia
Webber, Heidi ; Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
Zhao, Zhigan; CSIRO Agriculture and Food, Canberra, Australian Capital Territory, Australia
Zhu, Yan; National Engineering and Technology Center for Information Agriculture, Engineering Research Center of Smart Agriculture, Ministry of Education, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, China
Palosuo, Taru ; Natural Resources Institute Finland (Luke), Helsinki, Finland
M.G.-V. acknowledges funding from Consejer\u00EDa de Universidad, Investigaci\u00F3n e Innovaci\u00F3n\u2014Junta de Andalucia through the Qualifica Project (QUAL21_023 IAS), and from WheatNet (\u2018Conexi\u00F3n TRIGO\u2019) of the Spanish National Research Council (CSIC). The contribution of T.K.D.W. was made possible by the joint project of Digitalization in Organic Agriculture (DigiPlus, grant number 28 DE 207A 21), funded by the German Federal Office of Agriculture and Food. M.T.H. and K.L. were in part supported by funding from the Australian Grains Research & Development Corporation (GRDC contract code UOT1906-002RTX). T.G. acknowledges partial funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany\u2019s Excellence Strategy \u2013 EXC 2070 \u2013 390732324 and under the Collaborative Research Centre DETECT (grant number SFB1502/1\u20132022 -450058266).
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