A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration

Makowski D., Asseng S., Ewert F., Bassu S., Durand J.L., Li T., Martre P., Adam M., Aggarwal P.K., Angulo C., Baron C., Basso B., Bertuzzi P., Biernath C., Boogaard H., Boote K.J., Bouman B., Bregaglio S., Brisson N., Buis S., Cammarano D., Challinor A.J., Confalonieri R., Conijn J.G., Corbeels M., Deryng D., De Sanctis G., Doltra J., Fumoto T., Gaydon D., Gayler S., Goldberg R., Grant R.F., Grassini P., Hatfield J.L., Hasegawa T., Heng L., Hoek S.B., Hooker J., Hunt L.A., Ingwersen J., Izaurralde C., Jongschaap R.E.E., Jones J.W., Kemanian R.A., Kersebaum K.C., Kim S.H., Lizaso J., Marcaida M., Müller C., Nakagawa H., Kumar N.S., Nendel C., O'Leary G.J., Olesen J.E., Oriol P., Osborne T.M., Palosuo T., Pravia M.V., Priesack E., Ripoche D., Rosenzweig C., Ruane A.C., Ruget F., Sau F., Semenov M.A., Shcherbak I., Singh B., Singh U., Soo H.K., Steduto P., Stöckle C., Stratonovitch P., Streck T., Supit I., Tang L., Tao F., Teixeira E., Thorburn P., Timlin D., Travasso M., Rötter R., Waha
2015

Ensembles of process-based crop models are increasingly used to simulate crop growth for scenarios of temperature and/or precipitation changes corresponding to different projections of atmospheric CO2 concentrations. This approach generates large datasets with thousands of simulated crop yield data. Such datasets potentially provide new information but it is difficult to summarize them in a ...

Physiologie végétale : croissance et développement; Météorologie et climatologie