Articles | Volume 17, issue 7
https://doi.org/10.5194/gmd-17-2547-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-2547-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
05 Apr 2024
Development and technical paper |
| 05 Apr 2024
| 05 Apr 2024
Modeling the effects of tropospheric ozone on the growth and yield of global staple crops with DSSAT v4.8.0
Center for Climate Systems Research, Columbia Climate School, Columbia University, New York, NY 10025, USA
NASA Goddard Institute for Space Studies, New York, NY 10025, USA
Jonas Jägermeyr
Center for Climate Systems Research, Columbia Climate School, Columbia University, New York, NY 10025, USA
NASA Goddard Institute for Space Studies, New York, NY 10025, USA
Elizabeth A. Ainsworth
Global Change and Photosynthesis Research Unit, United States Department of Agriculture, Agricultural Research Service, Urbana, IL 61801, USA
Fabio A. A. Oliveira
Department of Agricultural and Biological Engineering, University of Florida, Gainesville, FL 32611, USA
Senthold Asseng
School of Life Sciences, HEF World Agricultural Systems Center, Technical University of Munich, Freising, 85354, Germany
Kenneth Boote
Department of Agricultural and Biological Engineering, University of Florida, Gainesville, FL 32611, USA
Joshua Elliott
Center for Robust Decision-making on Climate and Energy Policy (RDCEP), University of Chicago, Chicago, IL 60637, USA
Lisa Emberson
Environment & Geography Dept., University of York, York, YO10 5NG, UK
Ian Foster
Department of Computer Science, University of Chicago, Chicago, IL 60637, USA
Gerrit Hoogenboom
Department of Agricultural and Biological Engineering, University of Florida, Gainesville, FL 32611, USA
David Kelly
Department of Computer Science, University of Chicago, Chicago, IL 60637, USA
Alex C. Ruane
NASA Goddard Institute for Space Studies, New York, NY 10025, USA
Katrina Sharps
UK Centre for Ecology & Hydrology, Environment Centre Wales, Bangor, LL57 2UW, UK
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Cited
9 citations as recorded by crossref.
- Digital twin-based winter wheat growth simulation and optimization X. Xu et al. 10.1016/j.fcr.2025.109953
- Development of the DO3SE-Crop model to assess ozone effects on crop phenology, biomass, and yield P. Pande et al. 10.5194/bg-22-181-2025
- Unleashing the potential of geostationary satellite observations in air quality forecasting through artificial intelligence techniques C. Zhang et al. 10.5194/acp-25-759-2025
- Modelling ozone-induced changes in wheat amino acids and protein quality using a process-based crop model J. Cook et al. 10.5194/bg-22-1035-2025
- Synergistic interactions of CO2 fertilization with water, heat, and nitrogen under climate change: Evidence from maize, rice, and wheat Y. Bai et al. 10.1016/j.fcr.2025.110016
- Quantifying the role of ozone-caused damage to vegetation in the Earth system: a new parameterization scheme for photosynthetic and stomatal responses F. Li et al. 10.5194/gmd-17-6173-2024
- Current status and mitigation strategies for malting barley under climate change: a comprehensive review of predictive models, controlled experiments, and field assays M. Martínez et al. 10.1007/s42976-025-00682-z
- Estimation of Surface Ozone Effects on Winter Wheat Yield across the North China Plain F. Wang et al. 10.3390/agronomy14102326
- Modeling the effects of tropospheric ozone on the growth and yield of global staple crops with DSSAT v4.8.0 J. Guarin et al. 10.5194/gmd-17-2547-2024
8 citations as recorded by crossref.
- Digital twin-based winter wheat growth simulation and optimization X. Xu et al. 10.1016/j.fcr.2025.109953
- Development of the DO3SE-Crop model to assess ozone effects on crop phenology, biomass, and yield P. Pande et al. 10.5194/bg-22-181-2025
- Unleashing the potential of geostationary satellite observations in air quality forecasting through artificial intelligence techniques C. Zhang et al. 10.5194/acp-25-759-2025
- Modelling ozone-induced changes in wheat amino acids and protein quality using a process-based crop model J. Cook et al. 10.5194/bg-22-1035-2025
- Synergistic interactions of CO2 fertilization with water, heat, and nitrogen under climate change: Evidence from maize, rice, and wheat Y. Bai et al. 10.1016/j.fcr.2025.110016
- Quantifying the role of ozone-caused damage to vegetation in the Earth system: a new parameterization scheme for photosynthetic and stomatal responses F. Li et al. 10.5194/gmd-17-6173-2024
- Current status and mitigation strategies for malting barley under climate change: a comprehensive review of predictive models, controlled experiments, and field assays M. Martínez et al. 10.1007/s42976-025-00682-z
- Estimation of Surface Ozone Effects on Winter Wheat Yield across the North China Plain F. Wang et al. 10.3390/agronomy14102326
Latest update: 04 Jul 2025
Short summary
The effects of ozone (O3) stress on crop photosynthesis and leaf senescence were added to maize, rice, soybean, and wheat crop models. The modified models reproduced growth and yields under different O3 levels measured in field experiments and reported in the literature. The combined interactions between O3 and additional stresses were reproduced with the new models. These updated crop models can be used to simulate impacts of O3 stress under future climate change and air pollution scenarios.
The effects of ozone (O3) stress on crop photosynthesis and leaf senescence were added to maize,...
