Articles | Volume 16, issue 8
https://doi.org/10.5194/gmd-16-2261-2023
© Author(s) 2023. 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-16-2261-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
26 Apr 2023
Development and technical paper |
| 26 Apr 2023
| 26 Apr 2023
Implementation of trait-based ozone plant sensitivity in the Yale Interactive terrestrial Biosphere model v1.0 to assess global vegetation damage
Yimian Ma
Climate Change Research Center, Institute of Atmospheric Physics,
Chinese Academy of Sciences, Beijing, 100029, China
College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing, 100049, China
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, School of Environmental Science and
Engineering, Nanjing University of Information Science and Technology,
Nanjing, 210044, China
Stephen Sitch
CORRESPONDING AUTHOR
Faculty of Environment, Science and Economy, University of Exeter,
Exeter, EX4 4RJ, UK
Nadine Unger
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, School of Environmental Science and
Engineering, Nanjing University of Information Science and Technology,
Nanjing, 210044, China
Johan Uddling
Department of Biological and Environmental Sciences, University of
Gothenburg, Gothenburg, P.O. Box 461, 40530, Sweden
Lina M. Mercado
Faculty of Environment, Science and Economy, University of Exeter,
Exeter, EX4 4RJ, UK
UK Centre for Ecology and Hydrology, Benson Lane, Wallingford, OX10
8BB, UK
Cheng Gong
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, 100029, China
Zhaozhong Feng
School of Applied Meteorology, Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Huiyi Yang
Livelihoods and Institutions Department, Natural Resources
Institute, University of Greenwich, Kent, ME4 4TB, UK
Climate Change Research Center, Institute of Atmospheric Physics,
Chinese Academy of Sciences, Beijing, 100029, China
College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing, 100049, China
Chenguang Tian
Climate Change Research Center, Institute of Atmospheric Physics,
Chinese Academy of Sciences, Beijing, 100029, China
College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing, 100049, China
Yang Cao
Climate Change Research Center, Institute of Atmospheric Physics,
Chinese Academy of Sciences, Beijing, 100029, China
College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing, 100049, China
Yadong Lei
State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
Alexander W. Cheesman
Faculty of Environment, Science and Economy, University of Exeter,
Exeter, EX4 4RJ, UK
Centre for Tropical Environmental and Sustainability Science,
College of Science & Engineering, James Cook University, Cairns, 4878, Australia
Yansen Xu
School of Applied Meteorology, Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Maria Carolina Duran Rojas
College of Engineering, Mathematics, and Physical Sciences,
University of Exeter, Exeter, EX4 4PY, UK
Data sets
Trait-based ozone plant sensitivity to assess global vegetation damage risks Yimian Ma and Xu Yue https://doi.org/10.5281/zenodo.6348731
Global maps of leaf traits at 3km resolution Á. Moreno-Martínez, G. Camps-Valls, J. Kattge, N. Robinson, M. Reichstein,P. V. Bodegom, and S. W. Running https://doi.org/10.17871/TRY.59
Mapping local and global variability in plant trait distributions (https://github.com/abhirupdatta/global_maps_of_plant_traits) E. E. Butler, A. Datta, H. Flores-Moreno et al. https://doi.org/10.1073/pnas.1708984114
Model code and software
Trait-based ozone plant sensitivity to assess global vegetation damage risks Yimian Ma and Xu Yue https://doi.org/10.5281/zenodo.6348731
Short summary
Plants have been found to respond differently to O3, but the variations in the sensitivities have rarely been explained nor fully implemented in large-scale assessment. This study proposes a new O3 damage scheme with leaf mass per area to unify varied sensitivities for all plant species. Our assessment reveals an O3-induced reduction of 4.8 % in global GPP, with the highest reduction of >10 % for cropland, suggesting an emerging risk of crop yield loss under the threat of O3 pollution.
Plants have been found to respond differently to O3, but the variations in the sensitivities...
