selected publications
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article
- Modelling climate change impacts on maize yields under low nitrogen input conditions in sub-Saharan Africa.. Global Change Biology. 26:5942-5964. 2020
- Integrated assessment of climate change impacts on crop productivity and income of commercial maize farms in northeast South Africa. Food Security. 12:659-678. 2020
- Global wheat production with 1.5 and 2.0°C above pre-industrial warming. Global Change Biology. 25:1428-1444. 2019
- Climate change impact and adaptation for wheat protein. Global Change Biology. 25:155-173. 2019
- Biophysical and economic implications for agriculture of +1.5° and +2.0°C global warming using AgMIP Coordinated Global and Regional Assessments.. Climate Research. 76:17-39. 2018
- Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES. 376:20160455. 2018
- Impacts of 1.5 versus 2.0 °C on cereal yields in the West African Sudan Savanna. Environmental Research Letters. 13:34014. 2018
- How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield. European Journal of Agronomy. 100:67-75. 2018
- Author Correction: The uncertainty of crop yield projections is reduced by improved temperature response functions.. Nature plants. 3:833-833. 2017
- Temperature increase reduces global yields of major crops in four independent estimates. Proceedings of the National Academy of Sciences of the United States of America. 114:9326-9331. 2017
- The uncertainty of crop yield projections is reduced by improved temperature response functions.. Nature plants. 3:17102-17102. 2017
- A potato model intercomparison across varying climates and productivity levels. Global Change Biology. 23:1258-1281. 2017
- Crop Model Improvement Reduces the Uncertainty of the Response to Temperature of Multi-Model Ensembles. Field Crops Research. 202:5-20. 2017
- A taxonomy-based approach to shed light on the babel of mathematical models for rice simulation. Environmental Modelling and Software. 85:332-341. 2016
- Uncertainty of wheat water use: Simulated patterns and sensitivity to temperature and CO2. Field Crops Research. 198:80-92. 2016
- Similar estimates of temperature impacts on global wheat yield by three independent methods. Nature Climate Change. 6:1130-+. 2016
- Multi-wheat-model ensemble responses to interannual climate variability. Environmental Modelling and Software. 81:86-101. 2016
- Estimating model prediction error: Should you treat predictions as fixed or random?. Environmental Modelling and Software. 84:529-539. 2016
- A Statistical Analysis of Three Ensembles of Crop Model Responses to Temperature and CO2 Concentration. Agricultural and Forest Meteorology. 214:483-493. 2015
- Uncertainties in Predicting Rice Yield by Current Crop Models Under a Wide Range of Climatic Conditions. Global Change Biology. 21:1328-1341. 2015
- Multimodel ensembles of wheat growth: many models are better than one. Global Change Biology. 21:911-925. 2015
- Rising Temperatures Reduce Global Wheat Production. Nature Climate Change. 5:143-147. 2015
- The Global Gridded Crop Model Intercomparison: data and modeling protocols for Phase 1 (v1.0). Geoscientific Model Development. 8:261-277. 2015
- Uncertainty in Simulating Wheat Yields Under Climate Change. Nature Climate Change. 3:827-832. 2013
- The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and Pilot Studies. Agricultural and Forest Meteorology. 170:166-182. 2013
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