Ambient precipitation determines the sensitivity of soil respiration to precipitation treatments in a marsh
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 tempe...
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description | 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.
Ambient precipitation had a significant negative correlation with the sensitivity of SR to field precipitation treatments in marshes. Based on the increase in the interannual variability of ambient precipitation over the past 61 years (1961–2021), amplified interannual variation in ambient precipitation in the future may modulate the sensitivity of SR to climate changes. DPPT, decreased precipitation; IPPT, increased precipitation; PV, pre |
doi_str_mv | 10.1111/gcb.16581 |
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Ambient precipitation had a significant negative correlation with the sensitivity of SR to field precipitation treatments in marshes. Based on the increase in the interannual variability of ambient precipitation over the past 61 years (1961–2021), amplified interannual variation in ambient precipitation in the future may modulate the sensitivity of SR to climate changes. DPPT, decreased precipitation; IPPT, increased precipitation; PV, precipitation variability; SR, soil respiration.</description><identifier>ISSN: 1354-1013</identifier><identifier>EISSN: 1365-2486</identifier><identifier>DOI: 10.1111/gcb.16581</identifier><identifier>PMID: 36597706</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>ambient precipitation ; Annual precipitation ; Annual variations ; Benchmarks ; Biomass ; Carbon cycle ; Climate Change ; Ecosystem ; field manipulation experiment ; Marshes ; Mathematical models ; Multivariate statistical analysis ; Net radiation ; Precipitation ; precipitation treatments ; Radiation balance ; Regression analysis ; Respiration ; Sensitivity ; Soil ; Soil - chemistry ; soil respiration ; Soil strength ; Soil temperature ; Soils ; Temperature ; Terrestrial ecosystems ; Wetlands ; Wetting</subject><ispartof>Global change biology, 2023-04, Vol.29 (8), p.2301-2312</ispartof><rights>2023 John Wiley & Sons Ltd.</rights><rights>Copyright © 2023 John Wiley & Sons Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3531-c428b94431acc9112a6d0d149a9d668ba2955ae832136a942bc2f42d12617a13</citedby><cites>FETCH-LOGICAL-c3531-c428b94431acc9112a6d0d149a9d668ba2955ae832136a942bc2f42d12617a13</cites><orcidid>0000-0002-9570-0426 ; 0000-0003-4581-633X ; 0000-0002-9505-0961 ; 0000-0003-2677-3020 ; 0000-0003-3694-3329</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fgcb.16581$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fgcb.16581$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36597706$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Xinge</creatorcontrib><creatorcontrib>Hou, Yalin</creatorcontrib><creatorcontrib>Chu, Xiaojing</creatorcontrib><creatorcontrib>Zhao, Mingliang</creatorcontrib><creatorcontrib>Wei, Siyu</creatorcontrib><creatorcontrib>Song, Weimin</creatorcontrib><creatorcontrib>Li, Peiguang</creatorcontrib><creatorcontrib>Wang, Xiaojie</creatorcontrib><creatorcontrib>Han, Guangxuan</creatorcontrib><title>Ambient precipitation determines the sensitivity of soil respiration to precipitation treatments in a marsh</title><title>Global change biology</title><addtitle>Glob Chang Biol</addtitle><description>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.
Ambient precipitation had a significant negative correlation with the sensitivity of SR to field precipitation treatments in marshes. Based on the increase in the interannual variability of ambient precipitation over the past 61 years (1961–2021), amplified interannual variation in ambient precipitation in the future may modulate the sensitivity of SR to climate changes. DPPT, decreased precipitation; IPPT, increased precipitation; PV, precipitation variability; SR, soil respiration.</description><subject>ambient precipitation</subject><subject>Annual precipitation</subject><subject>Annual variations</subject><subject>Benchmarks</subject><subject>Biomass</subject><subject>Carbon cycle</subject><subject>Climate Change</subject><subject>Ecosystem</subject><subject>field manipulation experiment</subject><subject>Marshes</subject><subject>Mathematical models</subject><subject>Multivariate statistical analysis</subject><subject>Net radiation</subject><subject>Precipitation</subject><subject>precipitation treatments</subject><subject>Radiation balance</subject><subject>Regression analysis</subject><subject>Respiration</subject><subject>Sensitivity</subject><subject>Soil</subject><subject>Soil - chemistry</subject><subject>soil respiration</subject><subject>Soil strength</subject><subject>Soil temperature</subject><subject>Soils</subject><subject>Temperature</subject><subject>Terrestrial ecosystems</subject><subject>Wetlands</subject><subject>Wetting</subject><issn>1354-1013</issn><issn>1365-2486</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kD1PAyEYgInR2Fod_AOGxMnhWl7g6N1YG60mTVy6E47jLLX3IVBN_73Uqw4mssDw8PDyIHQNZAxxTV51MQaRZnCChsBEmlCeidPDOeUJEGADdOH9hhDCKBHnaBCZfDolYojeZnVhTRNw54y2nQ0q2LbBpQnG1bYxHoe1wd403gb7YcMetxX2rd1iZ3xnXY-H9s_94IwKdfR6bBuscK2cX1-is0ptvbk67iO0enxYzZ-S5cvieT5bJpqlDBLNaVbknDNQWucAVImSlMBzlZdCZIWieZoqkzEa_6pyTgtNK05LoAKmCtgI3fbazrXvO-OD3LQ718QXJZ1mgqQxDovUXU9p13rvTCU7Z-OYewlEHqrKWFV-V43szdG4K2pT_pI_GSMw6YFPuzX7_01yMb_vlV_QjIHy</recordid><startdate>202304</startdate><enddate>202304</enddate><creator>Li, Xinge</creator><creator>Hou, Yalin</creator><creator>Chu, Xiaojing</creator><creator>Zhao, Mingliang</creator><creator>Wei, Siyu</creator><creator>Song, Weimin</creator><creator>Li, Peiguang</creator><creator>Wang, Xiaojie</creator><creator>Han, Guangxuan</creator><general>Blackwell Publishing Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H97</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0002-9570-0426</orcidid><orcidid>https://orcid.org/0000-0003-4581-633X</orcidid><orcidid>https://orcid.org/0000-0002-9505-0961</orcidid><orcidid>https://orcid.org/0000-0003-2677-3020</orcidid><orcidid>https://orcid.org/0000-0003-3694-3329</orcidid></search><sort><creationdate>202304</creationdate><title>Ambient precipitation determines the sensitivity of soil respiration to precipitation treatments in a marsh</title><author>Li, Xinge ; Hou, Yalin ; Chu, Xiaojing ; Zhao, Mingliang ; Wei, Siyu ; Song, Weimin ; Li, Peiguang ; Wang, Xiaojie ; Han, Guangxuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3531-c428b94431acc9112a6d0d149a9d668ba2955ae832136a942bc2f42d12617a13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>ambient precipitation</topic><topic>Annual precipitation</topic><topic>Annual variations</topic><topic>Benchmarks</topic><topic>Biomass</topic><topic>Carbon cycle</topic><topic>Climate Change</topic><topic>Ecosystem</topic><topic>field manipulation experiment</topic><topic>Marshes</topic><topic>Mathematical models</topic><topic>Multivariate statistical analysis</topic><topic>Net radiation</topic><topic>Precipitation</topic><topic>precipitation treatments</topic><topic>Radiation balance</topic><topic>Regression analysis</topic><topic>Respiration</topic><topic>Sensitivity</topic><topic>Soil</topic><topic>Soil - chemistry</topic><topic>soil respiration</topic><topic>Soil strength</topic><topic>Soil temperature</topic><topic>Soils</topic><topic>Temperature</topic><topic>Terrestrial ecosystems</topic><topic>Wetlands</topic><topic>Wetting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Xinge</creatorcontrib><creatorcontrib>Hou, Yalin</creatorcontrib><creatorcontrib>Chu, Xiaojing</creatorcontrib><creatorcontrib>Zhao, Mingliang</creatorcontrib><creatorcontrib>Wei, Siyu</creatorcontrib><creatorcontrib>Song, Weimin</creatorcontrib><creatorcontrib>Li, Peiguang</creatorcontrib><creatorcontrib>Wang, Xiaojie</creatorcontrib><creatorcontrib>Han, Guangxuan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Global change biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Xinge</au><au>Hou, Yalin</au><au>Chu, Xiaojing</au><au>Zhao, Mingliang</au><au>Wei, Siyu</au><au>Song, Weimin</au><au>Li, Peiguang</au><au>Wang, Xiaojie</au><au>Han, Guangxuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ambient precipitation determines the sensitivity of soil respiration to precipitation treatments in a marsh</atitle><jtitle>Global change biology</jtitle><addtitle>Glob Chang Biol</addtitle><date>2023-04</date><risdate>2023</risdate><volume>29</volume><issue>8</issue><spage>2301</spage><epage>2312</epage><pages>2301-2312</pages><issn>1354-1013</issn><eissn>1365-2486</eissn><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.
Ambient precipitation had a significant negative correlation with the sensitivity of SR to field precipitation treatments in marshes. Based on the increase in the interannual variability of ambient precipitation over the past 61 years (1961–2021), amplified interannual variation in ambient precipitation in the future may modulate the sensitivity of SR to climate changes. DPPT, decreased precipitation; IPPT, increased precipitation; PV, precipitation variability; SR, soil respiration.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>36597706</pmid><doi>10.1111/gcb.16581</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-9570-0426</orcidid><orcidid>https://orcid.org/0000-0003-4581-633X</orcidid><orcidid>https://orcid.org/0000-0002-9505-0961</orcidid><orcidid>https://orcid.org/0000-0003-2677-3020</orcidid><orcidid>https://orcid.org/0000-0003-3694-3329</orcidid></addata></record> |
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subjects | ambient precipitation Annual precipitation Annual variations Benchmarks Biomass Carbon cycle Climate Change Ecosystem field manipulation experiment Marshes Mathematical models Multivariate statistical analysis Net radiation Precipitation precipitation treatments Radiation balance Regression analysis Respiration Sensitivity Soil Soil - chemistry soil respiration Soil strength Soil temperature Soils Temperature Terrestrial ecosystems Wetlands Wetting |
title | Ambient precipitation determines the sensitivity of soil respiration to precipitation treatments in a marsh |
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