Adaptation of a functional model of grassland to simulate the behaviour of irrigated grasslands under a Mediterranean climate: The Crau case |
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| Institution: | 1. UMR System (CIRAD-Inra-SupAgro), bâtiment 27, 2 place Viala, 34060 Montpellier Cedex 2, France;2. Société du Canal de Provence et d’aménagement de la région provençale, Le Tholonet – CS 70064, 13182 Aix en Provence Cedex 5, France;3. UMR AGIR, INRA, 31326 Castanet Tolosan Cedex, France;1. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China;2. Center for Agricultural Resources Research, Institute of Genetics and Development at Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China;1. Department of Plant Sciences, Laval University, Quebec G1V 0A6, Canada;2. Department of Soils and Agri-Food Engineering, Laval University, Quebec G1V 0A6, Canada;1. Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, D-06108 Halle (Saale), Germany;2. German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, D-04103 Leipzig, Germany;3. Institute of Agricultural Sciences, ETH Zurich, CH-8092 Zurich, Switzerland;4. Institute of Evolutionary Biology and Environmental Studies, University of Zurich, CH-8057 Zurich, Switzerland;5. School of Geosciences, Crew Building, the King’s Buildings, University of Edinburgh, Edinburgh EH9 3FF, Scotland, UK;6. Department of Ecology, College of Urban and Environmental Sciences and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China;7. Department of Plant Sciences, University of Oxford, OX1 3RB, UK;8. Faculty of Biology, Geobotany, University of Freiburg, D-79104 Freiburg, Germany;1. National Institute of Water and Atmospheric Research (NIWA), Christchurch, New Zealand;2. NOAA/ARL, Atmospheric Turbulence and Diffusion Division, Oak Ridge, TN, USA;3. Landcare Research, Palmerston North, New Zealand;4. Swiss Federal Institute of Technology (ETH), Zurich, Switzerland;1. International Hellenic University, Department of Environmental Engineering, Sindos, 57400, Thessaloniki, Greece;2. University of Thessaly, Department of Civil Engineering, Pedion Areos, 38334, Volos, Greece |
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| Abstract: | In order to take into account firstly the specificities of Mediterranean weather conditions on grass growth and secondly the effect of irrigation management on hay, we adapted an already published model of grassland growth. From literature new equations were added to account for water balance, botanical composition and the effect of wind. The modified model was parameterised based on new experimental data. An automatic and rigorous parameter estimation procedure was developed based on a criterion that combines the goodness-of-fit for dry matter (DM), leaf area index (LAI) and fraction of total transpirable soil water (FTSW). Mean squared error of prediction (MSEP) was estimated using cross-validation.Adding the three equations for water balance, botanical composition and wind effect improved the goodness-of-fit of the model. A sensitivity analysis showed that the model results were mainly sensitive to the parameter that controls the increase of leaf area index and to the radiation use efficiency coefficient. Both absolute values and dynamics of DM, LAI and FTSW were well simulated and satisfactory for future use of the model in a decision support tool. Estimated MSEP values for DM, LAI and FTSW were 0.145 T ha−1, 0.092 m2 m−2 and 0.0155% respectively. |
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