Underestimated Dry Season Methane Emissions from Wetlands in the Pantanal
Tropical wetlands contribute ∼30% of the global methane (CH4) budget. Limited observational constraints on tropical wetland CH4 emissions lead to large uncertainties and disparities in representing emissions. In this work, we combine remote sensing observations with atmospheric and wetland models to...
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Veröffentlicht in: | Environmental science & technology 2024-02, Vol.58 (7), p.3278-3287 |
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creator | Li, Mengze Kort, Eric A. Bloom, A. Anthony Wu, Dien Plant, Genevieve Gerlein-Safdi, Cynthia Pu, Tianjiao |
description | Tropical wetlands contribute ∼30% of the global methane (CH4) budget. Limited observational constraints on tropical wetland CH4 emissions lead to large uncertainties and disparities in representing emissions. In this work, we combine remote sensing observations with atmospheric and wetland models to investigate dry season wetland CH4 emissions from the Pantanal region of South America. We incorporate inundation maps generated from the Cyclone Global Navigation Satellite System (CYGNSS) satellite constellation together with traditional inundation maps to generate an ensemble of wetland CH4 emission realizations. We challenge these realizations with daily satellite observations for May–July when wetland CH4 emission predictions diverge. We find that the CYGNSS inundation products predict larger emissions in May, in better agreement with observations. We use the model ensemble to generate an empirical observational constraint on CH4 emissions independent of choice of inundation map, finding large dry season wetland CH4 emissions (31.7 ± 13.6 and 32.0 ± 20.2 mg CH4/m2/day in May and June/July during 2018/2019, respectively). These May/June/July emissions are 2–3 times higher than current models, suggesting that annual wetland emissions may be higher than traditionally simulated. Observed trends in the early dry season indicate that dynamics during this period are of importance in representing tropical wetland CH4 behaviors. |
doi_str_mv | 10.1021/acs.est.3c09250 |
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Anthony ; Wu, Dien ; Plant, Genevieve ; Gerlein-Safdi, Cynthia ; Pu, Tianjiao</creator><creatorcontrib>Li, Mengze ; Kort, Eric A. ; Bloom, A. Anthony ; Wu, Dien ; Plant, Genevieve ; Gerlein-Safdi, Cynthia ; Pu, Tianjiao</creatorcontrib><description>Tropical wetlands contribute ∼30% of the global methane (CH4) budget. Limited observational constraints on tropical wetland CH4 emissions lead to large uncertainties and disparities in representing emissions. In this work, we combine remote sensing observations with atmospheric and wetland models to investigate dry season wetland CH4 emissions from the Pantanal region of South America. We incorporate inundation maps generated from the Cyclone Global Navigation Satellite System (CYGNSS) satellite constellation together with traditional inundation maps to generate an ensemble of wetland CH4 emission realizations. We challenge these realizations with daily satellite observations for May–July when wetland CH4 emission predictions diverge. We find that the CYGNSS inundation products predict larger emissions in May, in better agreement with observations. We use the model ensemble to generate an empirical observational constraint on CH4 emissions independent of choice of inundation map, finding large dry season wetland CH4 emissions (31.7 ± 13.6 and 32.0 ± 20.2 mg CH4/m2/day in May and June/July during 2018/2019, respectively). These May/June/July emissions are 2–3 times higher than current models, suggesting that annual wetland emissions may be higher than traditionally simulated. Observed trends in the early dry season indicate that dynamics during this period are of importance in representing tropical wetland CH4 behaviors.</description><identifier>ISSN: 0013-936X</identifier><identifier>EISSN: 1520-5851</identifier><identifier>DOI: 10.1021/acs.est.3c09250</identifier><identifier>PMID: 38325813</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Atmospheric models ; Biogeochemical Cycling ; Dry season ; Emissions ; Global navigation satellite system ; Methane ; Remote sensing ; Satellite constellations ; Satellite observation ; Satellites ; Seasons ; Wetlands</subject><ispartof>Environmental science & technology, 2024-02, Vol.58 (7), p.3278-3287</ispartof><rights>2024 The Authors. Published by American Chemical Society</rights><rights>Copyright American Chemical Society Feb 20, 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-a412t-dd4688e43ed817c038ab412834c4f33a72f0c5d14cd9847f464f5fbcad91ce273</cites><orcidid>0000-0002-2915-5335 ; 0000-0003-0620-6301 ; 0000-0003-1973-8243</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acs.est.3c09250$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acs.est.3c09250$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>230,314,776,780,881,2752,27053,27901,27902,56713,56763</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38325813$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Mengze</creatorcontrib><creatorcontrib>Kort, Eric A.</creatorcontrib><creatorcontrib>Bloom, A. Anthony</creatorcontrib><creatorcontrib>Wu, Dien</creatorcontrib><creatorcontrib>Plant, Genevieve</creatorcontrib><creatorcontrib>Gerlein-Safdi, Cynthia</creatorcontrib><creatorcontrib>Pu, Tianjiao</creatorcontrib><title>Underestimated Dry Season Methane Emissions from Wetlands in the Pantanal</title><title>Environmental science & technology</title><addtitle>Environ. Sci. Technol</addtitle><description>Tropical wetlands contribute ∼30% of the global methane (CH4) budget. Limited observational constraints on tropical wetland CH4 emissions lead to large uncertainties and disparities in representing emissions. In this work, we combine remote sensing observations with atmospheric and wetland models to investigate dry season wetland CH4 emissions from the Pantanal region of South America. We incorporate inundation maps generated from the Cyclone Global Navigation Satellite System (CYGNSS) satellite constellation together with traditional inundation maps to generate an ensemble of wetland CH4 emission realizations. We challenge these realizations with daily satellite observations for May–July when wetland CH4 emission predictions diverge. We find that the CYGNSS inundation products predict larger emissions in May, in better agreement with observations. We use the model ensemble to generate an empirical observational constraint on CH4 emissions independent of choice of inundation map, finding large dry season wetland CH4 emissions (31.7 ± 13.6 and 32.0 ± 20.2 mg CH4/m2/day in May and June/July during 2018/2019, respectively). These May/June/July emissions are 2–3 times higher than current models, suggesting that annual wetland emissions may be higher than traditionally simulated. Observed trends in the early dry season indicate that dynamics during this period are of importance in representing tropical wetland CH4 behaviors.</description><subject>Atmospheric models</subject><subject>Biogeochemical Cycling</subject><subject>Dry season</subject><subject>Emissions</subject><subject>Global navigation satellite system</subject><subject>Methane</subject><subject>Remote sensing</subject><subject>Satellite constellations</subject><subject>Satellite observation</subject><subject>Satellites</subject><subject>Seasons</subject><subject>Wetlands</subject><issn>0013-936X</issn><issn>1520-5851</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kUtLxDAUhYMoOj7W7iTgRpCOebVNVyK-QVFQ0V3IJLdOpZOMSUfw35sy46CCqyzud87NuQehXUqGlDB6pE0cQuyG3JCK5WQFDWjOSJbLnK6iASGUZxUvXjbQZoxvhBDGiVxHG1xylkvKB-j6yVkIyaKZ6A4sPguf-AF09A7fQjfWDvD5pImx8S7iOvgJfoau1c5G3DjcjQHfa9dpp9tttFbrNsLO4t1CTxfnj6dX2c3d5fXpyU2mBWVdZq0opATBwUpaGsKlHqWB5MKImnNdspqY3FJhbCVFWYtC1Hk9MtpW1AAr-RY6nvtOZ6MJWAOuC7pV05AShE_ldaN-T1wzVq_-Q1EiJauKPDkcLByCf5-l7ColNNCmWOBnUbGK8YpyLvtl-3_QNz8LKW1PpVuyshBFoo7mlAk-xgD18jeUqL4nlXpSvXrRU1Ls_Qyx5L-LScDhHOiVy53_2X0Bq3CehA</recordid><startdate>20240207</startdate><enddate>20240207</enddate><creator>Li, Mengze</creator><creator>Kort, Eric A.</creator><creator>Bloom, A. Anthony</creator><creator>Wu, Dien</creator><creator>Plant, Genevieve</creator><creator>Gerlein-Safdi, Cynthia</creator><creator>Pu, Tianjiao</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/0000-0002-2915-5335</orcidid><orcidid>https://orcid.org/0000-0003-0620-6301</orcidid><orcidid>https://orcid.org/0000-0003-1973-8243</orcidid></search><sort><creationdate>20240207</creationdate><title>Underestimated Dry Season Methane Emissions from Wetlands in the Pantanal</title><author>Li, Mengze ; Kort, Eric A. ; Bloom, A. Anthony ; Wu, Dien ; Plant, Genevieve ; Gerlein-Safdi, Cynthia ; Pu, Tianjiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a412t-dd4688e43ed817c038ab412834c4f33a72f0c5d14cd9847f464f5fbcad91ce273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Atmospheric models</topic><topic>Biogeochemical Cycling</topic><topic>Dry season</topic><topic>Emissions</topic><topic>Global navigation satellite system</topic><topic>Methane</topic><topic>Remote sensing</topic><topic>Satellite constellations</topic><topic>Satellite observation</topic><topic>Satellites</topic><topic>Seasons</topic><topic>Wetlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Mengze</creatorcontrib><creatorcontrib>Kort, Eric A.</creatorcontrib><creatorcontrib>Bloom, A. Anthony</creatorcontrib><creatorcontrib>Wu, Dien</creatorcontrib><creatorcontrib>Plant, Genevieve</creatorcontrib><creatorcontrib>Gerlein-Safdi, Cynthia</creatorcontrib><creatorcontrib>Pu, Tianjiao</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>Li, Mengze</au><au>Kort, Eric A.</au><au>Bloom, A. Anthony</au><au>Wu, Dien</au><au>Plant, Genevieve</au><au>Gerlein-Safdi, Cynthia</au><au>Pu, Tianjiao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Underestimated Dry Season Methane Emissions from Wetlands in the Pantanal</atitle><jtitle>Environmental science & technology</jtitle><addtitle>Environ. Sci. Technol</addtitle><date>2024-02-07</date><risdate>2024</risdate><volume>58</volume><issue>7</issue><spage>3278</spage><epage>3287</epage><pages>3278-3287</pages><issn>0013-936X</issn><eissn>1520-5851</eissn><abstract>Tropical wetlands contribute ∼30% of the global methane (CH4) budget. Limited observational constraints on tropical wetland CH4 emissions lead to large uncertainties and disparities in representing emissions. In this work, we combine remote sensing observations with atmospheric and wetland models to investigate dry season wetland CH4 emissions from the Pantanal region of South America. We incorporate inundation maps generated from the Cyclone Global Navigation Satellite System (CYGNSS) satellite constellation together with traditional inundation maps to generate an ensemble of wetland CH4 emission realizations. We challenge these realizations with daily satellite observations for May–July when wetland CH4 emission predictions diverge. We find that the CYGNSS inundation products predict larger emissions in May, in better agreement with observations. We use the model ensemble to generate an empirical observational constraint on CH4 emissions independent of choice of inundation map, finding large dry season wetland CH4 emissions (31.7 ± 13.6 and 32.0 ± 20.2 mg CH4/m2/day in May and June/July during 2018/2019, respectively). These May/June/July emissions are 2–3 times higher than current models, suggesting that annual wetland emissions may be higher than traditionally simulated. Observed trends in the early dry season indicate that dynamics during this period are of importance in representing tropical wetland CH4 behaviors.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>38325813</pmid><doi>10.1021/acs.est.3c09250</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-2915-5335</orcidid><orcidid>https://orcid.org/0000-0003-0620-6301</orcidid><orcidid>https://orcid.org/0000-0003-1973-8243</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Atmospheric models Biogeochemical Cycling Dry season Emissions Global navigation satellite system Methane Remote sensing Satellite constellations Satellite observation Satellites Seasons Wetlands |
title | Underestimated Dry Season Methane Emissions from Wetlands in the Pantanal |
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