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Kersebaum, K.C.; Kollas, C.; Bindi, M.; Palosuo, T.; Wu, L.; Sharif, B.; Öztürk, I.; Trnka, M.; Hlavinka, P.; Nendel, C.; Müller, C.; Waha, K.; Armas-Herrera, C.; Olesen, J.E.; Eitzinger, J.; Roggero, P.P.; Conradt, T.; Martre, P.; Ferrise, R.; Moriondo, M.; Ruiz-Ramos, M.; Ventrella, D.; Rötter, R.P.; Wegehenkel, M.; Eckersten, H.; Lorite Torres, I.J.; Hernandez, C.G.; Launay, M.; De Wit, A.; Hoffmann, H.; Weigel, H.-J.; Manderscheid, R.; Beaudoin, N.; Constantin, J.; Garcia de Cortazar-Atauri, I.; Mary, B.; Ripoche, D.; Ruget, F. |
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Title |
Model inter-comparison on crop rotation effects – an intermediate report |
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2014 |
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Data of diverse crop rotations from five locations across Europe were distributed to modelers to investigate the capability of models to handle complex crop rotations and management interactions. Crop rotations comprise various main crops (winter/spring wheat, winter/spring barley, rye, oat, maize, sugar beet, oil seed rape and potatoes) plus several catch crops. The experimental setup of the datasets included treatments such as modified soils, crops exchanged within the rotations, irrigation/rainfed, nitrogen fertilization, residue management, tillage and atmospheric CO2 concentration. 19 modeling teams registered to model either the whole rotation or single crops. Models which are capable to run the whole rotation should provide transient as well as single year simulations with a reset of initial conditions. In the first step only initial soil conditions (water and soil mineral N) of the first year and key phenological stages were provided to the modelers. For calibration, crop yields and biomass were provided for selected years but not for all seasons. In total the combination of treatments and seasons results in 301 years of simulation. Results were analyzed to evaluate the effect of transient simulation versus single-year simulation regarding crop yield, biomass, water and nitrogen balance components. Model results will be evaluated crop-specifically to identify crops with highest uncertainty and potential for model improvement. Full data will be provided to modelers for model-improvement and results will provide insights into model capabilities to reproduce treatments and crops. Further, the question of error propagation along the transient simulation of crop rotations will be addressed. |
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FACCE MACSUR Mid-term Scientific Conference |
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3(S) Sassari, Italy |
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FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy |
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MA @ admin @ |
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5104 |
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Rodríguez-Carretero, T.; Lorite, J.; Ruiz-Ramos, M.; Dosio, A.; Gómez, J.A. |
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Impact of climate change on water balance components in Mediterranean rainfed olive orchards under tillage or cover crop soil management |
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2013 |
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CropM |
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European GeoSciences Union (EGU), General Assembly 2013, 2013-04-07 to 2013-04-12 |
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MA @ admin @ |
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2749 |
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Rötter, P.; Palosuo, T.; Semenov, M.; Ruiz-Ramos, M.; Tao, F.; Fronzek, S.; Pirttioja, K.; Bindi, M.; Carter, R.; Hoffmann, H.; Höhn, J.; Kersebaum, C.; Trnka, M. |
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Designing new cereal cultivars as an adaptation measure using crop model ensembles |
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2014 |
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CropM |
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MACSUR CropM International Symposium and Workshop: Modelling climate change impacts on crop production for food security, Oslo, Norway, 2014-02-10 to 2014-02-12 |
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MA @ admin @ |
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2768 |
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Ruiz-Ramos, M. |
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Les modèles de culture face au changement climatique : les enjeux des projets nationaux, européens et internationaux |
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2015 |
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Xe Colloque STICS. March 24-26, Rennes, France, 2015-03-24 to 2015-04-26 |
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MA @ admin @ |
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2772 |
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Ruiz-Ramos, M.; Rodríguez, A.; Dosio, A.; Goodess, C.; Harpham, C.; Mínguez, I.; Sánchez-Sánchez, E. |
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Improving crop simulations by bias reduction of RCM climate change projections: Evaluation on the present climate |
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2013 |
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International Conference On Regional Climate - CORDEX 2013 A partnership between WCRP, the European Commission and IPCC 4th-7th. November 2013, Brussels, Belgium, 2013-11-04 to 2013-11-07 |
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MA @ admin @ |
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2773 |
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