Multimodel ensembles improve predictions of crop-environment-management interactions.
- DOI
- 10.1111/gcb.14411
- Published
- 2018 Nov
- Container
- Global change biology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1111/gcb.14411,
title = {Multimodel ensembles improve predictions of crop-environment-management interactions.},
author = {Wallach D and Martre P and Liu B and Asseng S and Ewert F and Thorburn PJ and van Ittersum M and Aggarwal PK and Ahmed M and Basso B and Biernath C and Cammarano D and Challinor AJ and De Sanctis G and Dumont B and Eyshi Rezaei E and Fereres E and Fitzgerald GJ and Gao Y and Garcia-Vila M and Gayler S and Girousse C and Hoogenboom G and Horan H and Izaurralde RC and Jones CD and Kassie BT and Kersebaum KC and Klein C and Koehler AK and Maiorano A and Minoli S and Müller C and Naresh Kumar S and Nendel C and O'Leary GJ and Palosuo T and Priesack E and Ripoche D and Rötter RP and Semenov MA and Stöckle C and Stratonovitch P and Streck T and Supit I and Tao F and Wolf J and Zhang Z},
year = {2018},
journal = {Global change biology},
doi = {10.1111/gcb.14411},
url = {https://doi.org/10.1111/gcb.14411}
}RIS
TY - JOUR TI - Multimodel ensembles improve predictions of crop-environment-management interactions. AU - Wallach D AU - Martre P AU - Liu B AU - Asseng S AU - Ewert F AU - Thorburn PJ AU - van Ittersum M AU - Aggarwal PK AU - Ahmed M AU - Basso B AU - Biernath C AU - Cammarano D AU - Challinor AJ AU - De Sanctis G AU - Dumont B AU - Eyshi Rezaei E AU - Fereres E AU - Fitzgerald GJ AU - Gao Y AU - Garcia-Vila M AU - Gayler S AU - Girousse C AU - Hoogenboom G AU - Horan H AU - Izaurralde RC AU - Jones CD AU - Kassie BT AU - Kersebaum KC AU - Klein C AU - Koehler AK AU - Maiorano A AU - Minoli S AU - Müller C AU - Naresh Kumar S AU - Nendel C AU - O'Leary GJ AU - Palosuo T AU - Priesack E AU - Ripoche D AU - Rötter RP AU - Semenov MA AU - Stöckle C AU - Stratonovitch P AU - Streck T AU - Supit I AU - Tao F AU - Wolf J AU - Zhang Z PY - 2018 JO - Global change biology DO - 10.1111/gcb.14411 UR - https://doi.org/10.1111/gcb.14411 ER -
APA
D, W., P, M., B, L., S, A., F, E., PJ, T., M, V. I., PK, A., M, A., B, B., C, B., D, C., AJ, C., G, D. S., B, D., E, E. R., E, F., GJ, F., Y, G., M, G., S, G., C, G., G, H., H, H., RC, I., CD, J., BT, K., KC, K., C, K., AK, K., A, M., S, M., C, M., S, N. K., C, N., GJ, O., T, P., E, P., D, R., RP, R., MA, S., C, S., P, S., T, S., I, S., F, T., J, W., & Z, Z. (2018). Multimodel ensembles improve predictions of crop-environment-management interactions.. Global change biology. https://doi.org/10.1111/gcb.14411
Source records
- pubmed · retrieved 2026-09-26T23:15:29.627Z