Author
Listed:
- Qinyi Wang
(Institute of Geographical Sciences, Hebei Academy of Sciences, Shijiazhuang 050011, China
Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
Engineering Technology Innovation Center for Intelligent Monitoring and Spatial Regulation of Land Carbon Sinks, Ministry of Natural Resources, Wuhan 430078, China
Hebei Technology Innovation Center for Geographic Information Application, Shijiazhuang 050011, China)
- Leigang Sun
(Institute of Geographical Sciences, Hebei Academy of Sciences, Shijiazhuang 050011, China
Hebei Technology Innovation Center for Geographic Information Application, Shijiazhuang 050011, China)
- Shaoqiang Wang
(Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
Engineering Technology Innovation Center for Intelligent Monitoring and Spatial Regulation of Land Carbon Sinks, Ministry of Natural Resources, Wuhan 430078, China
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)
- Bin Chen
(Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)
- Zhenhai Liu
(Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)
- Shiliang Chen
(Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
Engineering Technology Innovation Center for Intelligent Monitoring and Spatial Regulation of Land Carbon Sinks, Ministry of Natural Resources, Wuhan 430078, China)
- Tingyu Li
(Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
Engineering Technology Innovation Center for Intelligent Monitoring and Spatial Regulation of Land Carbon Sinks, Ministry of Natural Resources, Wuhan 430078, China)
- Yuelin Li
(South China Botanical Garden, Guangzhou 510650, China)
- Mei Huang
(Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)
Abstract
Air pollution and climate change pose an increasingly serious threat to the sustainable development of terrestrial forest ecosystems. Extensive research in China has focused on single environmental factors, such as ozone, carbon dioxide, and climate change, but the multifactor interactions remain poorly understood. Here, we coupled the interactions of climate change, elevated CO 2 concentration, and increasing O 3 into the BEPS_O 3 model. The gross primary production (GPP) simulated by the BEPS_O 3 is verified at site scale by using the eddy covariance (EC) derived gross primary production data in China. We then investigated the impact of ozone and CO 2 fertilization on woodland ecosystem gross primary production in the context of climate change during 2001–2020 over China. The results of multi-scenario simulations indicate that the gross primary production of woodland ecosystems will increase by 1–5% due to elevated CO 2 . However, increased ozone pollution will result in a gross primary production loss of approximately 8–9%. In the historical climate, under the combined effects of CO 2 and O 3 , the effect of ozone on gross primary production will be mitigated by CO 2 to 4–7%. In most areas, the effect of ozone on woodland ecosystems is higher than that of CO 2 on vegetation photosynthesis, but CO 2 gradually counteracts the effect of ozone on the ecosystem. Our simulation study provides a reference for assessing the interactive responses to climate change, and advances our understanding of the interactions of global change agents over time. In addition, the comparison of individual and combined models will provide an important basis for national emission reduction strategies as well as O 3 regulation and climate adaptation in different regions. This also provides a data reference for China’s sustainable development policies.
Suggested Citation
Qinyi Wang & Leigang Sun & Shaoqiang Wang & Bin Chen & Zhenhai Liu & Shiliang Chen & Tingyu Li & Yuelin Li & Mei Huang, 2025.
"Carbon Dioxide Fertilization Effects Offset the Vegetation GPP Losses of Woodland Ecosystems Due to Surface Ozone Damage in China,"
Sustainability, MDPI, vol. 17(16), pages 1-19, August.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:16:p:7198-:d:1720757
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