Publication Abstracts

Liu et al. 2023, accepted

Liu, B., P. Martre, F. Ewert, H. Webber, K. Waha, P.J. Thorburn, A.C. Ruane, P.K. Aggarwal, M. Ahmed, J. Balkovič, B. Basso, C. Biernath, M. Bindi, D. Cammarano, W. Cao, A.J. Challinor, G. De Sanctis, B. Dumont, M. Espadafor, E. Eyshi Rezaei, E. Fereres, R. Ferrise, M. Garcia-Vila, S. Gayler, Y. Gao, H. Horan, G. Hoogenboom, R.C. Izaurralde, M. Jabloun, C.D. Jones, B.T. Kassie, K.C. Kersebaum, C. Klein, A.-K. Koehler, A. Maiorano, S. Minoli, M. Montesino San Martin, C. Müller, S. Naresh Kumar, C. Nendel, G.J. O'Leary, J.E. Olesen, T. Palosuo, J.R. Porter, E. Priesack, D. Ripoche, R.P. Rötter, M.A. Semenov, C. Stóckle, P. Stratonovitch, T. Streck, I. Supit, F. Tao, M. Van der Velde, E. Wang, J. Wolf, L. Xiao, Z. Zhang, Z. Zhao, Y. Zhu, and S. Asseng, 2023: AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat. Open Data J. Agric. Res., accepted.

The climate change impact and adaptation simulations from the Agricultural Model Intercomparison and Improvement Project (AgMIP) for wheat provide a unique dataset of multi-model ensemble simulations for 60 representative global locations covering all global wheat mega environments. The multi-model ensemble reported here has been thoroughly bench marked against a large number of experimental data, including different locations, growing season temperatures, atmospheric CO2 concentration, heat stress scenarios, and their interactions. In this paper, we describe the main characteristics of this global simulation dataset. Detailed cultivar, crop management, and soil datasets were compiled for all locations to drive 32 wheat growth models. The dataset consists of 30-year simulated data including 25 output variables for nine climate scenarios, including Baseline (1980-2010) with 360 or 550 ppm CO2, Baseline +2°C or +4°C with 360 or 550 ppm CO2, a mid-century climate change scenario (RCP8.5, 571 ppm CO2), and 1.5°C (423 ppm CO2) and 2.0°C (487 ppm CO2) warming above the pre-industrial period (HAPPI). This global simulation dataset can be used as a benchmark from a well-tested multi-model ensemble in future analyses of global wheat. Also, resource use efficiency (e.g., for radiation, water, and nitrogen use) and uncertainty analyses under different climate scenarios can be explored at different scales. The DOI for the dataset is 10.5281/zenodo.4027033 (AgMIP-Wheat, 2020), and all the data are available on the data repository of Zenodo (doi: 10.5281/zenodo.4027033). Two scientific publications have been published based on some of these data here.

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BibTeX Citation

  author={Liu, B. and Martre, P. and Ewert, F. and Webber, H. and Waha, K. and Thorburn, P. J. and Ruane, A. C. and Aggarwal, P. K. and Ahmed, M. and Balkovič, J. and Basso, B. and Biernath, C. and Bindi, M. and Cammarano, D. and Cao, W. and Challinor, A. J. and De Sanctis, G. and Dumont, B. and Espadafor, M. and Eyshi Rezaei, E. and Fereres, E. and Ferrise, R. and Garcia-Vila, M. and Gayler, S. and Gao, Y. and Horan, H. and Hoogenboom, G. and Izaurralde, R. C. and Jabloun, M. and Jones, C. D. and Kassie, B. T. and Kersebaum, K. C. and Klein, C. and Koehler, A.-K. and Maiorano, A. and Minoli, S. and Montesino San Martin, M. and Müller, C. and Naresh Kumar, S. and Nendel, C. and O'Leary, G. J. and Olesen, J. E. and Palosuo, T. and Porter, J. R. and Priesack, E. and Ripoche, D. and Rötter, R. P. and Semenov, M. A. and Stóckle, C. and Stratonovitch, P. and Streck, T. and Supit, I. and Tao, F. and Van der Velde, M. and Wang, E. and Wolf, J. and Xiao, L. and Zhang, Z. and Zhao, Z. and Zhu, Y. and Asseng, S.},
  title={AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat},
  journal={Open Data J. Agric. Res.},

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RIS Citation

ID  - li06310g
AU  - Liu, B.
AU  - Martre, P.
AU  - Ewert, F.
AU  - Webber, H.
AU  - Waha, K.
AU  - Thorburn, P. J.
AU  - Ruane, A. C.
AU  - Aggarwal, P. K.
AU  - Ahmed, M.
AU  - Balkovič, J.
AU  - Basso, B.
AU  - Biernath, C.
AU  - Bindi, M.
AU  - Cammarano, D.
AU  - Cao, W.
AU  - Challinor, A. J.
AU  - De Sanctis, G.
AU  - Dumont, B.
AU  - Espadafor, M.
AU  - Eyshi Rezaei, E.
AU  - Fereres, E.
AU  - Ferrise, R.
AU  - Garcia-Vila, M.
AU  - Gayler, S.
AU  - Gao, Y.
AU  - Horan, H.
AU  - Hoogenboom, G.
AU  - Izaurralde, R. C.
AU  - Jabloun, M.
AU  - Jones, C. D.
AU  - Kassie, B. T.
AU  - Kersebaum, K. C.
AU  - Klein, C.
AU  - Koehler, A.-K.
AU  - Maiorano, A.
AU  - Minoli, S.
AU  - Montesino San Martin, M.
AU  - Müller, C.
AU  - Naresh Kumar, S.
AU  - Nendel, C.
AU  - O'Leary, G. J.
AU  - Olesen, J. E.
AU  - Palosuo, T.
AU  - Porter, J. R.
AU  - Priesack, E.
AU  - Ripoche, D.
AU  - Rötter, R. P.
AU  - Semenov, M. A.
AU  - Stóckle, C.
AU  - Stratonovitch, P.
AU  - Streck, T.
AU  - Supit, I.
AU  - Tao, F.
AU  - Van der Velde, M.
AU  - Wang, E.
AU  - Wolf, J.
AU  - Xiao, L.
AU  - Zhang, Z.
AU  - Zhao, Z.
AU  - Zhu, Y.
AU  - Asseng, S.
PY  - 2023
TI  - AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat
JA  - Open Data J. Agric. Res.
ER  -

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