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Li X, Hou Y, Chu X, Zhao M, Wei S, Song W, Li P, Wang X, Han G. Ambient precipitation determines the sensitivity of soil respiration to precipitation treatments in a marsh. Glob Chang Biol 2023; 29:2301-2312. [PMID: 36597706 DOI: 10.1111/gcb.16581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 05/28/2023]
Abstract
The effects in field manipulation experiments are strongly influenced by amplified interannual variation in ambient climate as the experimental duration increases. Soil respiration (SR), as an important part of the carbon cycle in terrestrial ecosystems, is sensitive to climate changes such as temperature and precipitation changes. A growing body of evidence has indicated that ambient climate affects the temperature sensitivity of SR, which benchmarks the strength of terrestrial soil carbon-climate feedbacks. However, whether SR sensitivity to precipitation changes is influenced by ambient climate is still not clear. In addition, the mechanism driving the above phenomenon is still poorly understood. Here, a long-term field manipulation experiment with five precipitation treatments (-60%, -40%, +0%, +40%, and +60% of annual precipitation) was conducted in a marsh in the Yellow River Delta, China, which is sensitive to soil drying-wetting cycle caused by precipitation changes. Results showed that SR increased exponentially along the experimental precipitation gradient each year and the sensitivity of SR (standardized by per 100 mm change in precipitation under precipitation treatments) exhibited significant interannual variation from 2016 to 2021. In addition, temperature, net radiation, and ambient precipitation all exhibited dramatic interannual variability; however, only ambient precipitation had a significant negative correlation with SR sensitivity. Moreover, the sensitivity of SR was significantly positively related to the sensitivity of belowground biomass (BGB) across 6 years. Structural equation modeling and regression analysis also showed that precipitation treatments significantly affected SR and its autotrophic and heterotrophic components by altering BGB. Our study demonstrated that ambient precipitation determines the sensitivity of SR to precipitation treatments in marshes. The findings underscore the importance of ambient climate in regulating ecosystem responses in long-term field manipulation experiments.
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Affiliation(s)
- Xinge Li
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, P.R. China
- Shandong Key Laboratory of Coastal Environmental Processes, Yantai, P.R. China
- University of Chinese Academy of Sciences, Beijing, P.R. China
- The Yellow River Delta Ecological Research Station of Coastal Wetland, Chinese Academy of Sciences, Yantai, P.R. China
| | - Yalin Hou
- College of Geography and Environmental Science, Henan University, Kaifeng, P.R. China
| | - Xiaojing Chu
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, P.R. China
- Shandong Key Laboratory of Coastal Environmental Processes, Yantai, P.R. China
- The Yellow River Delta Ecological Research Station of Coastal Wetland, Chinese Academy of Sciences, Yantai, P.R. China
| | - Mingliang Zhao
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, P.R. China
- Shandong Key Laboratory of Coastal Environmental Processes, Yantai, P.R. China
- The Yellow River Delta Ecological Research Station of Coastal Wetland, Chinese Academy of Sciences, Yantai, P.R. China
| | - Siyu Wei
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, P.R. China
- Shandong Key Laboratory of Coastal Environmental Processes, Yantai, P.R. China
- University of Chinese Academy of Sciences, Beijing, P.R. China
| | - Weimin Song
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, P.R. China
- Shandong Key Laboratory of Coastal Environmental Processes, Yantai, P.R. China
- The Yellow River Delta Ecological Research Station of Coastal Wetland, Chinese Academy of Sciences, Yantai, P.R. China
| | - Peiguang Li
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, P.R. China
- Shandong Key Laboratory of Coastal Environmental Processes, Yantai, P.R. China
- The Yellow River Delta Ecological Research Station of Coastal Wetland, Chinese Academy of Sciences, Yantai, P.R. China
| | - Xiaojie Wang
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, P.R. China
- Shandong Key Laboratory of Coastal Environmental Processes, Yantai, P.R. China
- The Yellow River Delta Ecological Research Station of Coastal Wetland, Chinese Academy of Sciences, Yantai, P.R. China
| | - Guangxuan Han
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, P.R. China
- Shandong Key Laboratory of Coastal Environmental Processes, Yantai, P.R. China
- The Yellow River Delta Ecological Research Station of Coastal Wetland, Chinese Academy of Sciences, Yantai, P.R. China
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