Representative regional sampling of carbon dioxide and methane concentrations in hemiboreal headwater streams reveal underestimates in less systematic approaches
Boreal headwater streams have been identified as hot spots for evasion of greenhouse gases (GHGs). This study was the first to systematically determine the concentrations of CO2 and CH4 in hemiboreal headwater streams. The use of a headspace sampling method focusing on GHGs in combination with a sta...
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| Veröffentlicht in: | Global biogeochemical cycles 2014-04, Vol.28 (4), p.465-479 |
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| creator | Wallin, Marcus B. Löfgren, Stefan Erlandsson, Martin Bishop, Kevin |
| description | Boreal headwater streams have been identified as hot spots for evasion of greenhouse gases (GHGs). This study was the first to systematically determine the concentrations of CO2 and CH4 in hemiboreal headwater streams. The use of a headspace sampling method focusing on GHGs in combination with a statistically representative selection of more than 200 streams across two regions in Sweden was the basis for defining the base flow concentrations of CO2 and CH4. All streams were supersaturated relative to the atmosphere in CO2 and the majority in CH4 for the 82% of streams in which CH4 was detected. The spatial variability in both CO2 and CH4 was high but positively related to total organic carbon, mean annual temperature, and proportion of peatland in the catchment. There were, however, regional differences in the spatial controls, which are something that predictive models need to consider. The data set allowed for comparison between a headspace and an alkalinity‐based method for determining CO2. More than 50% of the streams contained no alkalinity which made the alkalinity‐based determination of CO2 impossible. In addition, half of the streams with alkalinity had alkalinities low enough ( |
| doi_str_mv | 10.1002/2013GB004715 |
| format | Article |
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Key Points
207 statistically selected headwaters were directly sampled for CO2 and CH4
All streams were supersaturated in CO2 and CH4 but with large spatial variation
Indirect methods will create bias in large scale data sets of headwater CO2</description><identifier>ISSN: 0886-6236</identifier><identifier>ISSN: 1944-9224</identifier><identifier>EISSN: 1944-9224</identifier><identifier>DOI: 10.1002/2013GB004715</identifier><identifier>CODEN: GBCYEP</identifier><language>eng</language><publisher>Washington, DC: Blackwell Publishing Ltd</publisher><subject>Alkalinity ; Animal and plant ecology ; Animal, plant and microbial ecology ; Base flow ; Biogeochemistry ; Biological and medical sciences ; boreal ; carbon cycling ; Carbon dioxide ; Climate Research ; Creeks & streams ; Earth Science with specialization in Environmental Analysis ; Earth sciences ; Earth, ocean, space ; Environmental Sciences ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; General aspects ; Geochemistry ; Geokemi ; Geovetenskap med inriktning mot miljöanalys ; Greenhouse gases ; Headwaters ; Klimatforskning ; Methane ; Miljövetenskap ; Organic carbon ; Prediction models ; representative sampling ; Streams ; Synecology ; water-air exchange</subject><ispartof>Global biogeochemical cycles, 2014-04, Vol.28 (4), p.465-479</ispartof><rights>2014. American Geophysical Union. All Rights Reserved.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5638-cc6b875ae5c80fd7cdc3c5abe389776c4d0a2433885c3562dece607ffa4a24e33</citedby><cites>FETCH-LOGICAL-c5638-cc6b875ae5c80fd7cdc3c5abe389776c4d0a2433885c3562dece607ffa4a24e33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2F2013GB004715$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2F2013GB004715$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,1427,11495,27903,27904,45553,45554,46387,46446,46811,46870</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28615959$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-222225$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://res.slu.se/id/publ/64273$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Wallin, Marcus B.</creatorcontrib><creatorcontrib>Löfgren, Stefan</creatorcontrib><creatorcontrib>Erlandsson, Martin</creatorcontrib><creatorcontrib>Bishop, Kevin</creatorcontrib><creatorcontrib>Sveriges lantbruksuniversitet</creatorcontrib><title>Representative regional sampling of carbon dioxide and methane concentrations in hemiboreal headwater streams reveal underestimates in less systematic approaches</title><title>Global biogeochemical cycles</title><addtitle>Global Biogeochem. Cycles</addtitle><description>Boreal headwater streams have been identified as hot spots for evasion of greenhouse gases (GHGs). This study was the first to systematically determine the concentrations of CO2 and CH4 in hemiboreal headwater streams. The use of a headspace sampling method focusing on GHGs in combination with a statistically representative selection of more than 200 streams across two regions in Sweden was the basis for defining the base flow concentrations of CO2 and CH4. All streams were supersaturated relative to the atmosphere in CO2 and the majority in CH4 for the 82% of streams in which CH4 was detected. The spatial variability in both CO2 and CH4 was high but positively related to total organic carbon, mean annual temperature, and proportion of peatland in the catchment. There were, however, regional differences in the spatial controls, which are something that predictive models need to consider. The data set allowed for comparison between a headspace and an alkalinity‐based method for determining CO2. More than 50% of the streams contained no alkalinity which made the alkalinity‐based determination of CO2 impossible. In addition, half of the streams with alkalinity had alkalinities low enough (<0.07 meq L−1) to make the CO2 determination very uncertain. The streams with low pH and no alkalinity contained median CO2 concentrations that were 45% higher than the streams containing alkalinity. Therefore, large‐scale generalizations about CO2 in such headwaters will be significantly underestimated if (1) headwaters are underrepresented and (2) the headwaters are sampled but CO2 is calculated from their alkalinity.
Key Points
207 statistically selected headwaters were directly sampled for CO2 and CH4
All streams were supersaturated in CO2 and CH4 but with large spatial variation
Indirect methods will create bias in large scale data sets of headwater CO2</description><subject>Alkalinity</subject><subject>Animal and plant ecology</subject><subject>Animal, plant and microbial ecology</subject><subject>Base flow</subject><subject>Biogeochemistry</subject><subject>Biological and medical sciences</subject><subject>boreal</subject><subject>carbon cycling</subject><subject>Carbon dioxide</subject><subject>Climate Research</subject><subject>Creeks & streams</subject><subject>Earth Science with specialization in Environmental Analysis</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Environmental Sciences</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>Geochemistry</subject><subject>Geokemi</subject><subject>Geovetenskap med inriktning mot miljöanalys</subject><subject>Greenhouse gases</subject><subject>Headwaters</subject><subject>Klimatforskning</subject><subject>Methane</subject><subject>Miljövetenskap</subject><subject>Organic carbon</subject><subject>Prediction models</subject><subject>representative sampling</subject><subject>Streams</subject><subject>Synecology</subject><subject>water-air exchange</subject><issn>0886-6236</issn><issn>1944-9224</issn><issn>1944-9224</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp9ks9u1DAQxiMEEkvhxgNYQkgcCPhPbCfHdoEFqQKpKovExXKcya5LYqd20u0-Dm-Kw1ZbhAS-jDz-fd94xs6y5wS_IRjTtxQTtjrDuJCEP8gWpCqKvKK0eJgtcFmKXFAmHmdPYrzCmBScV4vs5wUMASK4UY_2BlCAjfVOdyjqfuis2yDfIqND7R1qrL-1DSDtGtTDuNUOkPHOJHFIau8isg5tobe1D5A8tqCbnR4hoDimRB-T_c18MLkGUtXR9un0t6qDGFHcxxFSyhqkhyF4bbYQn2aPWt1FeHYXT7KvH95fLj_m519Wn5an57nhgpW5MaIuJdfATYnbRprGMMN1DayspBSmaLCmBWNlyQ3jgjZgQGDZtrpIeWDsJMsPvnEHw1SrIaTbhb3y2qrYTbUOc1ARlCionPnX_-Tf2fWp8mGjpknRefGEvzrgqa_rKfWuehsNdF2aop-iIpxWFS8EEQl98Rd65aeQHiVRqVXKJSb8vr4JPsYA7fEGBKv5O6g_v0PCX96Z6mh01wbtjI1HDS0F4RWvEkcP3M52sP-vp1qdLdOel_ezs-kBb48iHX4oIZnk6tvnlbrAcrleX3L1nf0CXyLXYQ</recordid><startdate>201404</startdate><enddate>201404</enddate><creator>Wallin, Marcus B.</creator><creator>Löfgren, Stefan</creator><creator>Erlandsson, Martin</creator><creator>Bishop, Kevin</creator><general>Blackwell Publishing Ltd</general><general>American Geophysical Union</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7TG</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>7UA</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>DF2</scope></search><sort><creationdate>201404</creationdate><title>Representative regional sampling of carbon dioxide and methane concentrations in hemiboreal headwater streams reveal underestimates in less systematic approaches</title><author>Wallin, Marcus B. ; Löfgren, Stefan ; Erlandsson, Martin ; Bishop, Kevin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5638-cc6b875ae5c80fd7cdc3c5abe389776c4d0a2433885c3562dece607ffa4a24e33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Alkalinity</topic><topic>Animal and plant ecology</topic><topic>Animal, plant and microbial ecology</topic><topic>Base flow</topic><topic>Biogeochemistry</topic><topic>Biological and medical sciences</topic><topic>boreal</topic><topic>carbon cycling</topic><topic>Carbon dioxide</topic><topic>Climate Research</topic><topic>Creeks & streams</topic><topic>Earth Science with specialization in Environmental Analysis</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Environmental Sciences</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>Geochemistry</topic><topic>Geokemi</topic><topic>Geovetenskap med inriktning mot miljöanalys</topic><topic>Greenhouse gases</topic><topic>Headwaters</topic><topic>Klimatforskning</topic><topic>Methane</topic><topic>Miljövetenskap</topic><topic>Organic carbon</topic><topic>Prediction models</topic><topic>representative sampling</topic><topic>Streams</topic><topic>Synecology</topic><topic>water-air exchange</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wallin, Marcus B.</creatorcontrib><creatorcontrib>Löfgren, Stefan</creatorcontrib><creatorcontrib>Erlandsson, Martin</creatorcontrib><creatorcontrib>Bishop, Kevin</creatorcontrib><creatorcontrib>Sveriges lantbruksuniversitet</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Water Resources Abstracts</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Uppsala universitet</collection><jtitle>Global biogeochemical cycles</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wallin, Marcus B.</au><au>Löfgren, Stefan</au><au>Erlandsson, Martin</au><au>Bishop, Kevin</au><aucorp>Sveriges lantbruksuniversitet</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Representative regional sampling of carbon dioxide and methane concentrations in hemiboreal headwater streams reveal underestimates in less systematic approaches</atitle><jtitle>Global biogeochemical cycles</jtitle><addtitle>Global Biogeochem. Cycles</addtitle><date>2014-04</date><risdate>2014</risdate><volume>28</volume><issue>4</issue><spage>465</spage><epage>479</epage><pages>465-479</pages><issn>0886-6236</issn><issn>1944-9224</issn><eissn>1944-9224</eissn><coden>GBCYEP</coden><abstract>Boreal headwater streams have been identified as hot spots for evasion of greenhouse gases (GHGs). This study was the first to systematically determine the concentrations of CO2 and CH4 in hemiboreal headwater streams. The use of a headspace sampling method focusing on GHGs in combination with a statistically representative selection of more than 200 streams across two regions in Sweden was the basis for defining the base flow concentrations of CO2 and CH4. All streams were supersaturated relative to the atmosphere in CO2 and the majority in CH4 for the 82% of streams in which CH4 was detected. The spatial variability in both CO2 and CH4 was high but positively related to total organic carbon, mean annual temperature, and proportion of peatland in the catchment. There were, however, regional differences in the spatial controls, which are something that predictive models need to consider. The data set allowed for comparison between a headspace and an alkalinity‐based method for determining CO2. More than 50% of the streams contained no alkalinity which made the alkalinity‐based determination of CO2 impossible. In addition, half of the streams with alkalinity had alkalinities low enough (<0.07 meq L−1) to make the CO2 determination very uncertain. The streams with low pH and no alkalinity contained median CO2 concentrations that were 45% higher than the streams containing alkalinity. Therefore, large‐scale generalizations about CO2 in such headwaters will be significantly underestimated if (1) headwaters are underrepresented and (2) the headwaters are sampled but CO2 is calculated from their alkalinity.
Key Points
207 statistically selected headwaters were directly sampled for CO2 and CH4
All streams were supersaturated in CO2 and CH4 but with large spatial variation
Indirect methods will create bias in large scale data sets of headwater CO2</abstract><cop>Washington, DC</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1002/2013GB004715</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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| source | Wiley Free Content; Wiley-Blackwell AGU Digital Library; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Alkalinity Animal and plant ecology Animal, plant and microbial ecology Base flow Biogeochemistry Biological and medical sciences boreal carbon cycling Carbon dioxide Climate Research Creeks & streams Earth Science with specialization in Environmental Analysis Earth sciences Earth, ocean, space Environmental Sciences Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects Geochemistry Geokemi Geovetenskap med inriktning mot miljöanalys Greenhouse gases Headwaters Klimatforskning Methane Miljövetenskap Organic carbon Prediction models representative sampling Streams Synecology water-air exchange |
| title | Representative regional sampling of carbon dioxide and methane concentrations in hemiboreal headwater streams reveal underestimates in less systematic approaches |
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