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Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change

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    0488997 - ÚVGZ 2019 RIV GB eng J - Journal Article
    Fronzek, S. - Pirttioja, N. K. - Carter, T. R. - Bindi, M. - Hoffmann, H. - Palosuo, T. - Ruiz-Ramos, M. - Tao, F. - Trnka, Miroslav - Acutis, M. - Asseng, S. - Baranowski, P. - Basso, B. - Bodin, P. - Buis, S. - Cammarano, D. - Deligios, P. - Destain, M. F. - Dumont, B. - Ewert, F. - Ferrise, R. - Francois, L. - Gaiser, T. - Hlavinka, Petr - Jacquemin, I. - Kersebaum, K. C. - Kollas, C. - Krzyszczak, J. - Lorite, I. J. - Minet, J. - Ines Minguez, M. - Montesino, M. - Moriondo, M. - Mueller, C. - Nendel, C. - Öztürk, I. - Perego, A. - Rodriguez, A. - Ruane, A. C. - Ruget, F. - Sanna, M. - Semenov, M. A. - Slawinski, C. - Stratonovitch, P. - Supit, I. - Waha, K. - Wang, E. - Wu, L. - Zhao, Z. - Rötter, R.
    Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change.
    Agricultural Systems. Roč. 159, jan (2018), s. 209-224. ISSN 0308-521X. E-ISSN 1873-2267
    Institutional support: RVO:86652079
    Keywords : climate-change * crop models * probabilistic assessment * simulating impacts * british catchments * uncertainty * europe * productivity * calibration * adaptation * Classification * Climate change * Crop model * Ensemble * Sensitivity analysis * Wheat
    OECD category: Agronomy, plant breeding and plant protection
    Impact factor: 4.131, year: 2018

    Crop growth simulation models can differ greatly in their treatment of key processes and hence in their response to environmental conditions. Here, we used an ensemble of 26 process-based wheat models applied at sites across a European transect to compare their sensitivity to changes in temperature (-2 to +9 degrees C) and precipitation (-50 to +50%). Model results were analysed by plotting them as impact response surfaces (IRSs), classifying the IRS patterns of individual model simulations, describing these classes and analysing factors that may explain the major differences in model responses.
    Permanent Link: http://hdl.handle.net/11104/0283491

     
     
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