Articles | Volume 17, issue 16
https://doi.org/10.5194/gmd-17-6173-2024
© 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-17-6173-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Quantifying the role of ozone-caused damage to vegetation in the Earth system: a new parameterization scheme for photosynthetic and stomatal responses
International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
Zhimin Zhou
College of Resources and Environmental Science, Aba Teachers University, Aba, 623002, China
International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
Samuel Levis
National Center for Atmospheric Research, Boulder, CO 80305, USA
Stephen Sitch
Faculty of Environment, Science and Economy, University of Exeter, Exeter, EX4 4RJ, UK
Felicity Hayes
UK Centre for Ecology & Hydrology, Bangor, Gwynedd, LL57 2UW, UK
Zhaozhong Feng
Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Peter B. Reich
Department of Forest Resources, University of Minnesota, St. Paul, MN 55108, USA
Zhiyi Zhao
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
Yanqing Zhou
College of Ecology and Environment, Xinjiang University, Urumqi, 830046, China
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
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Cited
11 citations as recorded by crossref.
- The impact of surface ozone on agricultural yields in the Ciuc Basin K. Bodor & Z. Bodor https://doi.org/10.1038/s41598-025-33122-3
- Distinguishing heatwave occurrence from ozone co-occurrence reveals contrasting autumn phenological associations across Chinese ecosystems W. Hou et al. https://doi.org/10.1016/j.indic.2026.101528
- Global Assessment of Vegetation Ozone Exposure Using a Remote Sensing-Based Index: A New Potential Reference for Critical Levels and Gross Primary Production Simulations P. Zhou et al. https://doi.org/10.1109/TGRS.2025.3647448
- Attribution of Meteorological Variability, Land-Cover/LAI Change, and O3-Induced Stomatal Regulation to Summer Biogenic VOC Emissions in China during 2013–2023 J. Cao et al. https://doi.org/10.1021/acs.est.6c08544
- Representation of a two-way coupled irrigation system in the Common Land Model S. Zhang et al. https://doi.org/10.5194/hess-29-3119-2025
- Ozone-driven non-linear controls on nighttime ClNO2 formation: Unintended oxidant increases under NOx control W. Nam et al. https://doi.org/10.1016/j.jhazmat.2026.142772
- Variations and drivers of CO2 fluxes at multiple temporal scales of subtropical agricultural systems in the Huaihe river Basin K. Zhang et al. https://doi.org/10.1016/j.agrformet.2025.110394
- Benchmarking ozone stress parameterizations in CLM5: a global mechanistic assessment of thresholds and memory effects P. Zhou et al. https://doi.org/10.5194/gmd-19-5491-2026
- Plant responses to gaseous pollutants, biochemical and transcriptomic insights M. Urfa Gul et al. https://doi.org/10.3389/fpls.2026.1768073
- Integrating ozone–vegetation damage schemes into SSiB4/TRIFFID: evaluation of six parameterizations and refinement of ozone decay process across plant functional types L. Li et al. https://doi.org/10.5194/gmd-19-8447-2026
- Modeling ozone impacts on china’s terrestrial carbon and water processes using CLM5.0 with two damage schemes X. Lin et al. https://doi.org/10.1088/2515-7620/ae7f82
11 citations as recorded by crossref.
- The impact of surface ozone on agricultural yields in the Ciuc Basin K. Bodor & Z. Bodor https://doi.org/10.1038/s41598-025-33122-3
- Distinguishing heatwave occurrence from ozone co-occurrence reveals contrasting autumn phenological associations across Chinese ecosystems W. Hou et al. https://doi.org/10.1016/j.indic.2026.101528
- Global Assessment of Vegetation Ozone Exposure Using a Remote Sensing-Based Index: A New Potential Reference for Critical Levels and Gross Primary Production Simulations P. Zhou et al. https://doi.org/10.1109/TGRS.2025.3647448
- Attribution of Meteorological Variability, Land-Cover/LAI Change, and O3-Induced Stomatal Regulation to Summer Biogenic VOC Emissions in China during 2013–2023 J. Cao et al. https://doi.org/10.1021/acs.est.6c08544
- Representation of a two-way coupled irrigation system in the Common Land Model S. Zhang et al. https://doi.org/10.5194/hess-29-3119-2025
- Ozone-driven non-linear controls on nighttime ClNO2 formation: Unintended oxidant increases under NOx control W. Nam et al. https://doi.org/10.1016/j.jhazmat.2026.142772
- Variations and drivers of CO2 fluxes at multiple temporal scales of subtropical agricultural systems in the Huaihe river Basin K. Zhang et al. https://doi.org/10.1016/j.agrformet.2025.110394
- Benchmarking ozone stress parameterizations in CLM5: a global mechanistic assessment of thresholds and memory effects P. Zhou et al. https://doi.org/10.5194/gmd-19-5491-2026
- Plant responses to gaseous pollutants, biochemical and transcriptomic insights M. Urfa Gul et al. https://doi.org/10.3389/fpls.2026.1768073
- Integrating ozone–vegetation damage schemes into SSiB4/TRIFFID: evaluation of six parameterizations and refinement of ozone decay process across plant functional types L. Li et al. https://doi.org/10.5194/gmd-19-8447-2026
- Modeling ozone impacts on china’s terrestrial carbon and water processes using CLM5.0 with two damage schemes X. Lin et al. https://doi.org/10.1088/2515-7620/ae7f82
Saved (final revised paper)
Latest update: 27 Oct 2026
Short summary
A new scheme is developed to model the surface ozone damage to vegetation in regional and global process-based models. Based on 4210 data points from ozone experiments, it accurately reproduces statistically significant linear or nonlinear photosynthetic and stomatal responses to ozone in observations for all vegetation types. It also enables models to implicitly capture the variability in plant ozone tolerance and the shift among species within a vegetation type.
A new scheme is developed to model the surface ozone damage to vegetation in regional and global...