Managing Global Resources for a Secure Future

2017 Annual Meeting | Oct. 22-25 | Tampa, FL

180-1 A Comparison of the Site Sensitivity of Crop Models Using Spatially Variable Field Data from Precision Agriculture.

See more from this Division: ASA Section: Climatology and Modeling
See more from this Session: Climatology and Modeling General Oral I

Tuesday, October 24, 2017: 8:00 AM
Tampa Convention Center, Room 13

Kurt C. Kersebaum1, Evelyn Wallor2, Domenico Ventrella3, Marcos Lana2, Davide Cammarano4, Elsa Coucheney5, Frank Ewert6, Roberto Ferrise7, Thomas Gaiser8, Pasquale Garofalo9, Luisa Giglio9, Pietro Giola10, Munir Hoffmann11, Ileana Iocola12, Elisabet Lewan5, Ganga Ram Maharjan8, Marco Moriondo13, Laura Mula14, Claas Nendel15, Eva Pohankova16, Pier Paolo Roggero17, Miroslav Trnka18 and Giacomo Trombi19, (1)ZALF - Leibniz Centre for Agricultural Landscape Research, Muencheberg, GERMANY
(2)Institute of Landscape Systems Analysis, Leibniz Centre for Agricultural Landscape Research, Muencheberg, Germany
(3)Unità di ricerca per i sistemi colturali degli ambienti caldo-aridi (CREA-SCA), Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA), Bari, Italy
(4)Invergowrie, James Hutton Institute, Dundee, Scotland
(5)Department of Soil and Environment, Swedish University of Agricultural Sciences, Uppsala, Sweden
(6)Leibniz Centre for Agricultural Landscape Research, Muencheberg, Germany
(7)University of Florence, Florence, Italy
(8)Institute of Crop Science and Resource Conservation, University of Bonn, Bonn, Germany
(9)Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA), Bari, Italy
(10)University of Sassari, Sassari, (Non U.S.), ITALY
(11)Crop Production Systems in the Tropics, Georg-August-Universität, Göttingen, Germany
(12)Departamento di Agraria, Universita  degli Studi di Sassari, Sassari, Italy
(13)CNR-IBIMET, University of Florence, Florence, Italy
(14)Desertification Research Centre, University of Sassari, Sassari, Italy
(15)ZALF - Leibniz Centre for Agricultural Landscape Research, Muencheberg, Germany
(16)Institute of Agriculture Systems and Bioclimatology, Mendel University Brno, Brno, Czech Republic
(17)Department of Agricultural Sciences and Desertification Research Centre, University of Sassari, Sassari, ITALY
(18)Mendel University Brno, Brno, Czech Republic
(19)Department of Agri-Food Production and Environmental Sciences, University of Florence, Firenze, Italy
Abstract:
Site conditions and soil properties have a strong influence on impacts of climate change on crop production. Vulnerability of crop production to changing climate conditions is highly determined by the ability of the site to buffer periods of adverse climatic situations like water scarcity or excessive rainfall. Therefore, the capability of models to reflect crop responses and water and nutrient dynamics under different site conditions is essential to assess climate impact even on a regional scale. To test and improve sensitivity of models to various site properties such as soil variability and hydrological boundary conditions, spatial variable data sets from precision farming of two fields in Germany and Italy were provided to modellers. For the German 20 ha field soil and management data for 60 grid points for 3 years (2 years wheat, 1 year triticale) were provided. For the Italian field (12 ha) information for 100 grid points were available for three growing seasons of durum wheat. Modellers were asked to run their models using a) the model specific procedure to estimate soil hydraulic properties from texture using their standard procedure and use in step b) fixed values for field capacity and wilting point derived from soil taxonomy. Only the phenology and crop yield of one grid point provided for a basic calibration. In step c) information for all grid points of the first year (yield, soil water and mineral N content for Germany, yield, biomass and LAI for Italy) were provided. Results of twelve model groups are compared against measured state variables analysing their site specific response and consistency across crop and soil variables.

See more from this Division: ASA Section: Climatology and Modeling
See more from this Session: Climatology and Modeling General Oral I

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