1. Impact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations
- Author
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Hoffmann, Holger, Zhao, Gang, Asseng, Senthold, Bindi, Marco, Biernath, Christian, Constantin, Julie, Coucheney, Elsa, Dechow, Rene, Doro, Luca, Eckersten, Henrik, Gaiser, Thomas, Grosz, Balázs, Heinlein, Florian, Kassie, Belay T., Klein, Christian, Kuhnert, Matthias, Lewan, Elisabet, Moriondo, Marco, Nendel, Claas, Priesack, Eckart, Raynal, Helene, Roggero, Pier P., Rötter, Reimund P., Siebert, Stefan, Specka, Xenia, Tao, Fulu, Teixeira, Edmar, Trombi, Giacomo, Wallach, Daniel, Weihermüller, Lutz, Yeluripati, Jagadeesh, Ewert, Frank, Kersebaum, Kurt Christian, Crop Science Group, Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Agricultural and Biological Engineering [Gainesville] (UF|ABE), Institute of Food and Agricultural Sciences [Gainesville] (UF|IFAS), University of Florida [Gainesville] (UF)-University of Florida [Gainesville] (UF), Department of Agri-Food Production and Environmental Sciences, University delgi Studi di Firenze, Institute of Biochemical Plant Pathology (BIOP), German Research Center for Environmental Health - Helmholtz Center München (GmbH), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Department of Soil and Environment, University of Agricultural Sciences (UAS), Johann Heinrich von Thünen Institut, Desertification Research Group, University of Sassari, Department of Crop Production Ecology, Swedish University of Agricultural Sciences (SLU), Institute of landscape systems analysis, Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Helmholtz-Zentrum Dresden-Rossendorf (HZDR), University of Aberdeen, Consiglio Nazionale delle Ricerche (CNR), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Institut National de la Recherche Agronomique (INRA), Environmental Impacts Group, Natural resources institute Finland, Plant & Food Research, Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association, Craigiebuckler, The James Hutton Institute, German Federal Ministry of Food and Agriculture (BMEL) through Federal Office for Agriculture and Food (BLE) [2851ERA01J], FACCE MACSUR through Finnish Ministry of Agriculture and Forestry (MMM) [3200009600], Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning [220-2007-1218], faculty of Natural Resources and Agricultural Sciences (Swedish University of Agricultural Sciences), INRA ACCAF metaprogram, UR MIAT INRA, Helmholtz project 'REKLIM - Regional Climate Change', HGF Alliance 'Remote Sensing and Earth System Dynamics' (EDA), German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) [FOR1695], German Science Foundation [EW 119/5-1], Università degli Studi di Sassari = University of Sassari [Sassari] (UNISS), and Hoffmann, Holger
- Subjects
winter-wheat ,010504 meteorology & atmospheric sciences ,Databases, Factual ,SYSTEMS SIMULATION ,NITROGEN DYNAMICS ,WINTER-WHEAT ,CROP MODELS ,DATA RESOLUTION ,SCALE ,WATER ,VARIABILITY ,CALIBRATION ,WEATHER ,[SDV]Life Sciences [q-bio] ,nitrogen dynamics ,01 natural sciences ,[SHS]Humanities and Social Sciences ,Geographical Locations ,Soil ,Yield (wine) ,Agricultural Soil Science ,Germany ,Range (statistics) ,[MATH]Mathematics [math] ,Triticum ,2. Zero hunger ,Multidisciplinary ,Simulation and Modeling ,Sampling (statistics) ,Agriculture ,04 agricultural and veterinary sciences ,Plants ,data resolution ,Europe ,Agricultural soil science ,[SDE]Environmental Sciences ,Wheat ,Medicine ,ddc:500 ,Seasons ,Maize ,Simulation and modeling ,Winter ,Cereal crops ,Research Article ,Crops, Agricultural ,Climate Change ,Science ,Soil Science ,Soil science ,Crops ,Research and Analysis Methods ,Zea mays ,crop models ,scale ,Model Organisms ,Plant and Algal Models ,Calibration ,[INFO]Computer Science [cs] ,Computer Simulation ,Grasses ,Agricultural Science ,0105 earth and related environmental sciences ,AGR/02 Agronomia e coltivazioni erbacee ,variability ,Crop yield ,Ecology and Environmental Sciences ,Organisms ,Biology and Life Sciences ,Water ,Oryza ,15. Life on land ,calibration ,Data aggregator ,13. Climate action ,People and Places ,040103 agronomy & agriculture ,Earth Sciences ,0401 agriculture, forestry, and fisheries ,Environmental science ,systems ,Scale (map) ,water ,Crop Science ,Cereal Crops - Abstract
International audience; We show the error in water-limited yields simulated by crop models which is associated with spatially aggregated soil and climate input data. Crop simulations at large scales (regional, national, continental) frequently use input data of low resolution. Therefore, climate and soil data are often generated via averaging and sampling by area majority. This may bias simulated yields at large scales, varying largely across models. Thus, we evaluated the error associated with spatially aggregated soil and climate data for 14 crop models. Yields of winter wheat and silage maize were simulated under water-limited production conditions. We calculated this error from crop yields simulated at spatial resolutions from 1 to 100 km for the state of North Rhine-Westphalia, Germany. Most models showed yields biased by
- Published
- 2016