Unraveling Spatially Diverse and Interactive Regulatory Mechanisms of Wetland Methane Fluxes to Improve Emission Estimation
Methane fluxes (FCH ) vary significantly across wetland ecosystems due to complex mechanisms, challenging accurate estimations. The interactions among environmental drivers, while crucial in regulating FCH , have not been well understood. Here, the interactive effects of six environmental drivers on...
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creator | Guo, Haonan Cui, Shihao Nielsen, Claudia Kalla Pullens, Johannes Wilhelmus Maria Qiu, Chunjing Wu, Shubiao |
description | Methane fluxes (FCH
) vary significantly across wetland ecosystems due to complex mechanisms, challenging accurate estimations. The interactions among environmental drivers, while crucial in regulating FCH
, have not been well understood. Here, the interactive effects of six environmental drivers on FCH
were first analyzed using 396,322 half-hourly measurements from 22 sites across various wetland types and climate zones. Results reveal that soil temperature, latent heat turbulent flux, and ecosystem respiration primarily exerted direct effects on FCH
, while air temperature and gross primary productivity mainly exerted indirect effects by interacting with other drivers. Significant spatial variability in FCH
regulatory mechanisms was highlighted, with different drivers demonstrated varying direct, indirect, and total effects among sites. This spatial variability was then linked to site-specific annual-average air temperature (17.7%) and water table (9.0%) conditions, allowing the categorization of CH
sources into four groups with identified critical drivers. An improved estimation approach using a random forest model with three critical drivers was consequently proposed, offering accurate FCH
predictions with fewer input requirements. By explicitly accounting for environmental interactions and interpreting spatial variability, this study enhances our understanding of the mechanisms regulating CH
emissions, contributing to more efficient modeling and estimation of wetland FCH
. |
doi_str_mv | 10.1021/acs.est.4c06057 |
format | Article |
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) vary significantly across wetland ecosystems due to complex mechanisms, challenging accurate estimations. The interactions among environmental drivers, while crucial in regulating FCH
, have not been well understood. Here, the interactive effects of six environmental drivers on FCH
were first analyzed using 396,322 half-hourly measurements from 22 sites across various wetland types and climate zones. Results reveal that soil temperature, latent heat turbulent flux, and ecosystem respiration primarily exerted direct effects on FCH
, while air temperature and gross primary productivity mainly exerted indirect effects by interacting with other drivers. Significant spatial variability in FCH
regulatory mechanisms was highlighted, with different drivers demonstrated varying direct, indirect, and total effects among sites. This spatial variability was then linked to site-specific annual-average air temperature (17.7%) and water table (9.0%) conditions, allowing the categorization of CH
sources into four groups with identified critical drivers. An improved estimation approach using a random forest model with three critical drivers was consequently proposed, offering accurate FCH
predictions with fewer input requirements. By explicitly accounting for environmental interactions and interpreting spatial variability, this study enhances our understanding of the mechanisms regulating CH
emissions, contributing to more efficient modeling and estimation of wetland FCH
.</description><identifier>ISSN: 0013-936X</identifier><identifier>ISSN: 1520-5851</identifier><identifier>EISSN: 1520-5851</identifier><identifier>DOI: 10.1021/acs.est.4c06057</identifier><identifier>PMID: 39134052</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Air temperature ; Aquatic ecosystems ; Emissions ; Environmental accounting ; Fluxes ; Latent heat ; Methane ; Regulatory mechanisms (biology) ; Soil temperature ; Temperature requirements ; Water table ; Wetlands</subject><ispartof>Environmental science & technology, 2024-08, Vol.58 (34), p.15052-15065</ispartof><rights>Copyright American Chemical Society Aug 27, 2024</rights><rights>2024 The Authors. Published by American Chemical Society 2024 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c265t-56ec458a045fc15618ae0c7c8694aa17d532c6c8648fd5aefd6dea790dd258353</cites><orcidid>0000-0003-1203-0680 ; 0009-0003-3054-122X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,2765,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39134052$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Guo, Haonan</creatorcontrib><creatorcontrib>Cui, Shihao</creatorcontrib><creatorcontrib>Nielsen, Claudia Kalla</creatorcontrib><creatorcontrib>Pullens, Johannes Wilhelmus Maria</creatorcontrib><creatorcontrib>Qiu, Chunjing</creatorcontrib><creatorcontrib>Wu, Shubiao</creatorcontrib><title>Unraveling Spatially Diverse and Interactive Regulatory Mechanisms of Wetland Methane Fluxes to Improve Emission Estimation</title><title>Environmental science & technology</title><addtitle>Environ Sci Technol</addtitle><description>Methane fluxes (FCH
) vary significantly across wetland ecosystems due to complex mechanisms, challenging accurate estimations. The interactions among environmental drivers, while crucial in regulating FCH
, have not been well understood. Here, the interactive effects of six environmental drivers on FCH
were first analyzed using 396,322 half-hourly measurements from 22 sites across various wetland types and climate zones. Results reveal that soil temperature, latent heat turbulent flux, and ecosystem respiration primarily exerted direct effects on FCH
, while air temperature and gross primary productivity mainly exerted indirect effects by interacting with other drivers. Significant spatial variability in FCH
regulatory mechanisms was highlighted, with different drivers demonstrated varying direct, indirect, and total effects among sites. This spatial variability was then linked to site-specific annual-average air temperature (17.7%) and water table (9.0%) conditions, allowing the categorization of CH
sources into four groups with identified critical drivers. An improved estimation approach using a random forest model with three critical drivers was consequently proposed, offering accurate FCH
predictions with fewer input requirements. By explicitly accounting for environmental interactions and interpreting spatial variability, this study enhances our understanding of the mechanisms regulating CH
emissions, contributing to more efficient modeling and estimation of wetland FCH
.</description><subject>Air temperature</subject><subject>Aquatic ecosystems</subject><subject>Emissions</subject><subject>Environmental accounting</subject><subject>Fluxes</subject><subject>Latent heat</subject><subject>Methane</subject><subject>Regulatory mechanisms (biology)</subject><subject>Soil temperature</subject><subject>Temperature requirements</subject><subject>Water table</subject><subject>Wetlands</subject><issn>0013-936X</issn><issn>1520-5851</issn><issn>1520-5851</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpdkUFv1DAQhS0EokvhzA1Z4sIl27EdO8kJobKFlVohARXcLONMtq4Se2s7K1b8ebzqUgEny-PvzczzI-QlgyUDzs6MTUtMeVlbUCCbR2TBJIdKtpI9JgsAJqpOqO8n5FlKtwDABbRPyYnomKhB8gX5de2j2eHo_IZ-2ZrszDju6Xu3w5iQGt_Ttc8Yjc2lRD_jZh5NDnFPr9DeGO_SlGgY6DfM4wG-wlyqSC_G-ScmmgNdT9sYinQ1uZRc8HSVspvKoOCfkyeDGRO-OJ6n5Ppi9fX8Y3X56cP6_N1lZbmSuZIKbS1bA7UcLJOKtQbBNrZVXW0Ma3opuFXlWrdDLw0OverRNB30PZetkOKUvL3vu51_TNhb9DmaUW9j2SPudTBO__vi3Y3ehJ1mTCgQipUOb44dYriby4fr4sbiWDxjmJMW0HGhZFM3BX39H3ob5uiLPy1KZJJLkFCos3vKxpBSxOFhGwb6kKwuyeqD-phsUbz628QD_ydK8RvS3KOV</recordid><startdate>20240812</startdate><enddate>20240812</enddate><creator>Guo, Haonan</creator><creator>Cui, Shihao</creator><creator>Nielsen, Claudia Kalla</creator><creator>Pullens, Johannes Wilhelmus Maria</creator><creator>Qiu, Chunjing</creator><creator>Wu, Shubiao</creator><general>American Chemical Society</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1203-0680</orcidid><orcidid>https://orcid.org/0009-0003-3054-122X</orcidid></search><sort><creationdate>20240812</creationdate><title>Unraveling Spatially Diverse and Interactive Regulatory Mechanisms of Wetland Methane Fluxes to Improve Emission Estimation</title><author>Guo, Haonan ; Cui, Shihao ; Nielsen, Claudia Kalla ; Pullens, Johannes Wilhelmus Maria ; Qiu, Chunjing ; Wu, Shubiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c265t-56ec458a045fc15618ae0c7c8694aa17d532c6c8648fd5aefd6dea790dd258353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Air temperature</topic><topic>Aquatic ecosystems</topic><topic>Emissions</topic><topic>Environmental accounting</topic><topic>Fluxes</topic><topic>Latent heat</topic><topic>Methane</topic><topic>Regulatory mechanisms (biology)</topic><topic>Soil temperature</topic><topic>Temperature requirements</topic><topic>Water table</topic><topic>Wetlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Haonan</creatorcontrib><creatorcontrib>Cui, Shihao</creatorcontrib><creatorcontrib>Nielsen, Claudia Kalla</creatorcontrib><creatorcontrib>Pullens, Johannes Wilhelmus Maria</creatorcontrib><creatorcontrib>Qiu, Chunjing</creatorcontrib><creatorcontrib>Wu, Shubiao</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Environmental science & technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Haonan</au><au>Cui, Shihao</au><au>Nielsen, Claudia Kalla</au><au>Pullens, Johannes Wilhelmus Maria</au><au>Qiu, Chunjing</au><au>Wu, Shubiao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Unraveling Spatially Diverse and Interactive Regulatory Mechanisms of Wetland Methane Fluxes to Improve Emission Estimation</atitle><jtitle>Environmental science & technology</jtitle><addtitle>Environ Sci Technol</addtitle><date>2024-08-12</date><risdate>2024</risdate><volume>58</volume><issue>34</issue><spage>15052</spage><epage>15065</epage><pages>15052-15065</pages><issn>0013-936X</issn><issn>1520-5851</issn><eissn>1520-5851</eissn><abstract>Methane fluxes (FCH
) vary significantly across wetland ecosystems due to complex mechanisms, challenging accurate estimations. The interactions among environmental drivers, while crucial in regulating FCH
, have not been well understood. Here, the interactive effects of six environmental drivers on FCH
were first analyzed using 396,322 half-hourly measurements from 22 sites across various wetland types and climate zones. Results reveal that soil temperature, latent heat turbulent flux, and ecosystem respiration primarily exerted direct effects on FCH
, while air temperature and gross primary productivity mainly exerted indirect effects by interacting with other drivers. Significant spatial variability in FCH
regulatory mechanisms was highlighted, with different drivers demonstrated varying direct, indirect, and total effects among sites. This spatial variability was then linked to site-specific annual-average air temperature (17.7%) and water table (9.0%) conditions, allowing the categorization of CH
sources into four groups with identified critical drivers. An improved estimation approach using a random forest model with three critical drivers was consequently proposed, offering accurate FCH
predictions with fewer input requirements. By explicitly accounting for environmental interactions and interpreting spatial variability, this study enhances our understanding of the mechanisms regulating CH
emissions, contributing to more efficient modeling and estimation of wetland FCH
.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>39134052</pmid><doi>10.1021/acs.est.4c06057</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-1203-0680</orcidid><orcidid>https://orcid.org/0009-0003-3054-122X</orcidid><oa>free_for_read</oa></addata></record> |
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source | American Chemical Society Journals |
subjects | Air temperature Aquatic ecosystems Emissions Environmental accounting Fluxes Latent heat Methane Regulatory mechanisms (biology) Soil temperature Temperature requirements Water table Wetlands |
title | Unraveling Spatially Diverse and Interactive Regulatory Mechanisms of Wetland Methane Fluxes to Improve Emission Estimation |
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