Košík

0488997 - ÚVGZ 2019 RIV GB eng J - Článek v odborném periodiku
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
Institucionální podpora: RVO:86652079
Klíčová slova: climate-change * crop models * probabilistic assessment * simulating impacts * british catchments * uncertainty * europe * productivity * calibration * adaptation * Classification * Climate change * Crop model * Ensemble * Sensitivity analysis * Wheat
Obor OECD: Agronomy, plant breeding and plant protection
Impakt faktor: 4.131, rok: 2018
Trvalý link: http://hdl.handle.net/11104/0283491