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Extreme Precipitation and High-Temperature Impacts on Terrestrial Gross Primary Productivity across China, 1981 to 2100
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Zichong Su1, Huizhu Yang2, Youjia Liang1, 2, 3, *, Lijun Liu4, Jia Sun3, 5, Liangcun Jiang1
Ecosystem Health and Sustainability | 2025, 11(6) : 0462
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Ecosystem Health and Sustainability | 2025, 11(6): 0462
RESEARCH ARTICLE
Extreme Precipitation and High-Temperature Impacts on Terrestrial Gross Primary Productivity across China, 1981 to 2100
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Zichong Su1, Huizhu Yang2, Youjia Liang1, 2, 3, *, Lijun Liu4, Jia Sun3, 5, Liangcun Jiang1
Affiliations
  • 1School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China.
  • 2South China Institute of Environmental Sciences, Ministry of Ecology and Environment and The Key Laboratory of Urban Ecological Environment Simulation and Protection, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou 510535, China.
  • 3Key Laboratory of Remote Sensing Application and Innovation, Chongqing 401147, China.
  • 4School of Information Engineering, Wuhan Business University, Wuhan 430056, China.
  • 5Chongqing Meteorological Service, Chongqing 401147, China.
Published: 2025-12-10 doi: 10.34133/ehs.0462
Outline
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The interplay of extreme precipitation and high temperature markedly diminishes the carbon sink capacity of China's terrestrial ecosystems. Although the spatiotemporal evolution characteristics of these extreme events have been initially identified, their impacts on gross primary production (GPP) remain inadequately quantified. With the multisource data (1981 to 2100) of 4 shared socioeconomic pathways (SSPs), the Mann-Kendall test, empirical orthogonal function, and center of gravity shift models were used to identify the spatiotemporal evolution of GPP, and the structural equation model was used to elucidate the pathways and contributions of extreme events to GPP changes. GPP increased nationwide (0.02 to 0.07 kg C m−2 a−1 decade−1, P < 0.05), with growth varying by scenario and there is regional heterogeneity; the first principal mode of GPP was positive in most areas (59.55% to 100%), with the same increasing and decreasing characteristics; the spatial centroid of GPP exhibited a shift from the east and south toward the west and north, accompanied by marked ecosystem greening; extremely high temperature exerted the most -substantial negative influence on GPP under SSP5-8.5 (standardized path coefficients: −0.580), whereas extreme precipitation duration in SSPs 1-2.6 and 3-7.0, and intensity in SSP2-4.5. The total effect of extreme events on GPP change shifts from a positive to a negative effect (0.966 → −0.655, −167.81%) with increasing carbon emissions. Negative effects are concentrated in Northeast China, East China shows alternating positive and negative effects, and the other regions shift from positive to negative effects. This study emphasizes the importance of differentiated climate change adaptation capacity building.

Zichong Su, Huizhu Yang, Youjia Liang, Lijun Liu, Jia Sun, Liangcun Jiang. Extreme Precipitation and High-Temperature Impacts on Terrestrial Gross Primary Productivity across China, 1981 to 2100[J]. Ecosystem Health and Sustainability, 2025 , 11 (6) : 0462 - . DOI: 10.34133/ehs.0462
  • the Open Fund of South China Institute of Environmental Sciences, Ministry of Ecology and Environmental and State Environmental Protection Key Laboratory of Urban Ecological Simulation and Protection(UEESP-202505)
  • the Key Laboratory of Remote Sensing Application and Innovation(LRSAI-2025012)
  • and the National Natural Science Foundation of China(41601184)
Year 2025 volume 11 Issue 6
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Article Info
doi: 10.34133/ehs.0462
  • Receive Date:2025-06-30
  • Online Date:2026-07-23
  • Published:2025-12-10
Article Data
Affiliations
History
  • Received:2025-06-30
  • Revised:2025-11-10
  • Accepted:2025-12-02
Funding
the Open Fund of South China Institute of Environmental Sciences, Ministry of Ecology and Environmental and State Environmental Protection Key Laboratory of Urban Ecological Simulation and Protection(UEESP-202505)
the Key Laboratory of Remote Sensing Application and Innovation(LRSAI-2025012)
and the National Natural Science Foundation of China(41601184)
Affiliations
    1School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China.
    2South China Institute of Environmental Sciences, Ministry of Ecology and Environment and The Key Laboratory of Urban Ecological Environment Simulation and Protection, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou 510535, China.
    3Key Laboratory of Remote Sensing Application and Innovation, Chongqing 401147, China.
    4School of Information Engineering, Wuhan Business University, Wuhan 430056, China.
    5Chongqing Meteorological Service, Chongqing 401147, China.

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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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