Multimodel ensembles improve predictions of crop-environment-management interactions
2018 | journal article. A publication with affiliation to the University of Göttingen.
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Cite this publication
Wallach, D., Martre, P., Liu, B., Asseng, S., Ewert, F., Thorburn, P. J., van Ittersum, M. ... Zhang, Z. (2018). Multimodel ensembles improve predictions of crop-environment-management interactions. Global Change Biology, 24(11), 5072-5083. doi: https://doi.org/10.1111/gcb.14411
Documents & Media
Details
- Authors
- Wallach, Daniel; Martre, Pierre; Liu, Bing; Asseng, Senthold; Ewert, Frank; Thorburn, Peter J.; van Ittersum, Martin; Aggarwal, Pramod K.; Ahmed, Mukhtar; Basso, Bruno; Biernath, Christian; Cammarano, Davide; Challinor, Andrew J.; De Sanctis, Giacomo; Dumont, Benjamin; Eyshi Rezaei, Ehsan; Fereres, Elias; Fitzgerald, Glenn J.; Gao, Y. ; Garcia-Vila, Margarita; Gayler, Sebastian; Girousse, Christine; Hoogenboom, Gerrit; Horan, Heidi; Izaurralde, Roberto C.; Jones, Curtis D.; Kassie, Belay T.; Kersebaum, Kurt C. ; Klein, Christian; Koehler, Ann-Kristin; Maiorano, Andrea; Minoli, Sara; Müller, Christoph; Naresh Kumar, Soora; Nendel, Claas; O’Leary, Garry J.; Palosuo, Taru; Priesack, Eckart; Ripoche, Dominique; Rötter, Reimund P. ; Semenov, Mikhail A.; Stöckle, Claudio; Stratonovitch, Pierre; Streck, Thilo; Supit, Iwan; Tao, Fulu; Wolf, Joost; Zhang, Zhao
- Issue Date
- 2018
- Journal
- Global Change Biology
- Organization
- Fakultät für Agrarwissenschaften ; Department für Nutzpflanzenwissenschaften ; Abteilung Pflanzenbau ; Abteilung Tropischer Pflanzenbau und Agrosystem Modellierung
- Language
- English
