An open platform to build,evaluate and simulate integrated models of farming and agro-ecosystems |
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| Affiliation: | 1. INRA, UMR1248 AGIR, F-31326 Castanet Tolosan cedex, France;2. INRA, UR0875 UBIA, F-31326 Castanet Tolosan cedex, France;3. INRA, UMR1230 SYSTEM, F-34060 Montpellier, France;4. INRA, UMR0211 AGRONOMIE, F-78850 Thiverval-Grignon, France;5. LOL, EA4029-ULCO, F-62228 Calais cedex, France;6. INRA, UMR1069 SAS, F-35000 Rennes, France;7. INRA, UMR1080, Production du Lait, F-35000 Rennes, France;1. PEGASE, Agrocampus Ouest, INRA, 35590 Saint-Gilles, France;2. MIAT, INRA, 31326 Castanet-Tolosan, France;3. INFOSOL, INRA, 45075 Orléans, France;4. AGROCLIM, INRA, 84914 Avignon, France;5. EMMAH, INRA, 84914 Avignon, France;6. LAE, INRA, 68000 Colmar, France;7. SAS, Agrocampus Ouest, INRA, 35000 Rennes, France;1. ACTA, INRA, UMR Agronomie, AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, France;2. ACTA, INRA, UMR AGIR, F-31326 Castanet Tolosan, France;3. UMR Agronomie, INRA, AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, France;1. Soil and Crop Sciences Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA;2. G & K Concepts, Inc., 23033 Antwerp Road, Harlan, IN 46743, USA;1. AGIR, Université de Toulouse, INRA, Castanet-Tolosan, France;2. MIAT, UR 875, Université de Toulouse, INRA, F-31320 Castanet-Tolosan, France;3. Crop Science Group, INRES, University of Bonn, Bonn, Germany;4. Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Florence, Italy;5. Desertification Research Centre and Department of Agricultural Sciences, University of Sassari, Sassari, Italy;6. Texas A&M AgriLife Research, Blackland Research and Extension Center, Temple, TX, USA;7. Department of Crop Production Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden;8. Thünen-Institute of Climate-Smart-Agriculture, Braunschweig, Germany;9. Institute of Meteorology and Climate Research – Atmospheric Environmental Research, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany;10. Leibniz Centre for Agricultural Landscape Research, ZALF, Müncheberg, Germany;11. Information and Computational Sciences Group, The James Hutton Insitite, Carigiebuckler, Aberdeen, UK;12. Department of Soil and Environment, Swedish University of Agricultural Sciences,Uppsala, Sweden;13. CNR-Ibimet, Florence, Italy;14. CSIRO Land and Water, ACT, Canberra, Australia;15. Institute of Bio- & Geosciences, Agrosphere (IBG-3), Jülich, Germany |
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| Abstract: | Due to significant changes in agro-ecological contexts, farmers need new solutions to produce goods. Modelling complements field experiments in the design of new farming systems. French researchers involved in such design issues developed a specific modelling platform to help model, simulate and evaluate cropping systems. After testing several existing environments, the RECORD platform was developed under the VLE environment, allowing the design of atomic and coupled models. It integrates different time steps and spatial scales and proposes some standard formalisms used to model agro-ecosystems (e.g. difference equations, differential equations, state charts…). A graphic user interface was designed to simplify coding tasks. A variety of research projects already use this platform. Examples are given showing the ability to recode simple models, encapsulate more complex models, link with GIS and databases, and use the R statistical package to run models and analyse simulation outputs. The option to use web interfaces enables application by non-scientist end-users. As the models follow a given standard, they can be placed in a repository and used by other researchers. Linking RECORD to other international platforms is now a compelling issue. |
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