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Abstract
The multifunctionality and sustainability of ecosystems are strongly dependent on their ability to withstand and recover from disturbances—that is, ecosystem resilience (ER). However, the dynamics and attributes of ER remain largely unknown, especially in China, where climatic and anthropogenic pressures are high. In this study, we evaluated spatiotemporal patterns of ER in China from 2001 to 2020 using solar-induced chlorophyll fluorescence. We estimated the relative independent importance of climate change, CO2, and anthropogenic factors on changes in ER signals. The results showed that more than half of the ecosystems in the study area have experienced ER gain followed by ER loss during the past two decades. Before breakpoints (BPs), climate change explained 58.29% of the ER change associated with increasing precipitation. After BPs, 65.10% of the ER change was most affected by CO2, and drought from rising temperature further deteriorated ER loss. We highlight that relationships between changes in ER and climate are spatially heterogeneous and suggest increased negative radiative effects of CO2, associated with global warming, on ecosystem stability due to the saturated canopy photosynthesis. These findings have crucial implications for future climate change mitigation, carbon peak, and carbon neutrality targets.
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Details
; Fangli Wei 2 ; Fu, Bojie 1 ; Wang, Shuai 3 ; Zhang, Wenmin 4 ; Zhang, Yunlong 2 1 State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of China; College of Resources and Environment, University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of China
2 State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of China
3 State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of China
4 Department of Geosciences and Natural Resource Management, University of Copenhagen , Copenhagen, Denmark




