Crop modelling for integrated assessment of risk to food production from climate change

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Crop modelling for integrated assessment of risk to food production from climate change. / Ewert, F.; Rötter, R.P.; Bindi, M.; Webber, H.; Trnka, M.; Kersebaum, K. C.; Olesen, J.E.; van Ittersum, M. K.; Janssen, S.; Rivington, M.; Semenov, M. A.; Wallach, D.; Porter, John Roy; Stewart, D.; Verhagen, J.; Gaiser, T.; Palosuo, T.; Tao, F.; Nendel, C.; Roggero, P. P.; Bartosová, L.; Asseng, S.

In: Environmental Modelling & Software, Vol. 72, 2015, p. 287-303.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Ewert, F, Rötter, RP, Bindi, M, Webber, H, Trnka, M, Kersebaum, KC, Olesen, JE, van Ittersum, MK, Janssen, S, Rivington, M, Semenov, MA, Wallach, D, Porter, JR, Stewart, D, Verhagen, J, Gaiser, T, Palosuo, T, Tao, F, Nendel, C, Roggero, PP, Bartosová, L & Asseng, S 2015, 'Crop modelling for integrated assessment of risk to food production from climate change', Environmental Modelling & Software, vol. 72, pp. 287-303. https://doi.org/10.1016/j.envsoft.2014.12.003

APA

Ewert, F., Rötter, R. P., Bindi, M., Webber, H., Trnka, M., Kersebaum, K. C., Olesen, J. E., van Ittersum, M. K., Janssen, S., Rivington, M., Semenov, M. A., Wallach, D., Porter, J. R., Stewart, D., Verhagen, J., Gaiser, T., Palosuo, T., Tao, F., Nendel, C., ... Asseng, S. (2015). Crop modelling for integrated assessment of risk to food production from climate change. Environmental Modelling & Software, 72, 287-303. https://doi.org/10.1016/j.envsoft.2014.12.003

Vancouver

Ewert F, Rötter RP, Bindi M, Webber H, Trnka M, Kersebaum KC et al. Crop modelling for integrated assessment of risk to food production from climate change. Environmental Modelling & Software. 2015;72:287-303. https://doi.org/10.1016/j.envsoft.2014.12.003

Author

Ewert, F. ; Rötter, R.P. ; Bindi, M. ; Webber, H. ; Trnka, M. ; Kersebaum, K. C. ; Olesen, J.E. ; van Ittersum, M. K. ; Janssen, S. ; Rivington, M. ; Semenov, M. A. ; Wallach, D. ; Porter, John Roy ; Stewart, D. ; Verhagen, J. ; Gaiser, T. ; Palosuo, T. ; Tao, F. ; Nendel, C. ; Roggero, P. P. ; Bartosová, L. ; Asseng, S. / Crop modelling for integrated assessment of risk to food production from climate change. In: Environmental Modelling & Software. 2015 ; Vol. 72. pp. 287-303.

Bibtex

@article{387030886b7b4e4c86ca99585b49d0e5,
title = "Crop modelling for integrated assessment of risk to food production from climate change",
abstract = "The complexity of risks posed by climate change and possible adaptations for crop production has called for integrated assessment and modelling (IAM) approaches linking biophysical and economic models. This paper attempts to provide an overview of the present state of crop modelling to assess climate change risks to food production and to which extent crop models comply with IAM demands. Considerable progress has been made in modelling effects of climate variables, where crop models best satisfy IAM demands. Demands are partly satisfied for simulating commonly required assessment variables. However, progress on the number of simulated crops, uncertainty propagation related to model parameters and structure, adaptations and scaling are less advanced and lagging behind IAM demands. The limitations are considered substantial and apply to a different extent to all crop models. Overcoming these limitations will require joint efforts, and consideration of novel modelling approaches.",
keywords = "Adaptation, Crop models, Integrated assessment, Risk assessment, Scaling, Uncertainty",
author = "F. Ewert and R.P. R{\"o}tter and M. Bindi and H. Webber and M. Trnka and Kersebaum, {K. C.} and J.E. Olesen and {van Ittersum}, {M. K.} and S. Janssen and M. Rivington and Semenov, {M. A.} and D. Wallach and Porter, {John Roy} and D. Stewart and J. Verhagen and T. Gaiser and T. Palosuo and F. Tao and C. Nendel and Roggero, {P. P.} and L. Bartosov{\'a} and S. Asseng",
year = "2015",
doi = "10.1016/j.envsoft.2014.12.003",
language = "English",
volume = "72",
pages = "287--303",
journal = "Environmental Modelling & Software",
issn = "1364-8152",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Crop modelling for integrated assessment of risk to food production from climate change

AU - Ewert, F.

AU - Rötter, R.P.

AU - Bindi, M.

AU - Webber, H.

AU - Trnka, M.

AU - Kersebaum, K. C.

AU - Olesen, J.E.

AU - van Ittersum, M. K.

AU - Janssen, S.

AU - Rivington, M.

AU - Semenov, M. A.

AU - Wallach, D.

AU - Porter, John Roy

AU - Stewart, D.

AU - Verhagen, J.

AU - Gaiser, T.

AU - Palosuo, T.

AU - Tao, F.

AU - Nendel, C.

AU - Roggero, P. P.

AU - Bartosová, L.

AU - Asseng, S.

PY - 2015

Y1 - 2015

N2 - The complexity of risks posed by climate change and possible adaptations for crop production has called for integrated assessment and modelling (IAM) approaches linking biophysical and economic models. This paper attempts to provide an overview of the present state of crop modelling to assess climate change risks to food production and to which extent crop models comply with IAM demands. Considerable progress has been made in modelling effects of climate variables, where crop models best satisfy IAM demands. Demands are partly satisfied for simulating commonly required assessment variables. However, progress on the number of simulated crops, uncertainty propagation related to model parameters and structure, adaptations and scaling are less advanced and lagging behind IAM demands. The limitations are considered substantial and apply to a different extent to all crop models. Overcoming these limitations will require joint efforts, and consideration of novel modelling approaches.

AB - The complexity of risks posed by climate change and possible adaptations for crop production has called for integrated assessment and modelling (IAM) approaches linking biophysical and economic models. This paper attempts to provide an overview of the present state of crop modelling to assess climate change risks to food production and to which extent crop models comply with IAM demands. Considerable progress has been made in modelling effects of climate variables, where crop models best satisfy IAM demands. Demands are partly satisfied for simulating commonly required assessment variables. However, progress on the number of simulated crops, uncertainty propagation related to model parameters and structure, adaptations and scaling are less advanced and lagging behind IAM demands. The limitations are considered substantial and apply to a different extent to all crop models. Overcoming these limitations will require joint efforts, and consideration of novel modelling approaches.

KW - Adaptation

KW - Crop models

KW - Integrated assessment

KW - Risk assessment

KW - Scaling

KW - Uncertainty

U2 - 10.1016/j.envsoft.2014.12.003

DO - 10.1016/j.envsoft.2014.12.003

M3 - Journal article

VL - 72

SP - 287

EP - 303

JO - Environmental Modelling & Software

JF - Environmental Modelling & Software

SN - 1364-8152

ER -

ID: 130101735