Annual ecosystem respiration variability of alpine peatland on the eastern Qinghai–Tibet Plateau and its controlling factors
Peatlands are widely developed in the eastern Qinghai–Tibet Plateau, but little is known about carbon budgets for these alpine peatland ecosystems. In this study, we used an automatic chamber system to measure ecosystem respiration in the Hongyuan peatland, which is located in the eastern Qinghai–Ti...
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| Veröffentlicht in: | Environmental monitoring and assessment 2015-09, Vol.187 (9), p.550-9, Article 550 |
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| creator | Peng, Haijun Hong, Bing Hong, Yetang Zhu, Yongxuan Cai, Chen Yuan, Lingui Wang, Yu |
| description | Peatlands are widely developed in the eastern Qinghai–Tibet Plateau, but little is known about carbon budgets for these alpine peatland ecosystems. In this study, we used an automatic chamber system to measure ecosystem respiration in the Hongyuan peatland, which is located in the eastern Qinghai–Tibet Plateau. Annual ecosystem respiration measurements showed a typical seasonal pattern, with the peak appearing in June. The highest respiration was 10.43 μmol CO
2
/m
2
/s, and the lowest was 0.20 μmol CO
2
/m
2
/s. The annual average ecosystem respiration was 2.06 μmol CO
2
/m
2
/s. The total annual respiration was 599.98 g C/m
2
, and respiration during the growing season (from May to September) accounted for 78 % of the annual sum. Nonlinear regression revealed that ecosystem respiration has a significant exponential correlation with soil temperature at 10-cm depth (
R
2
= 0.98). The
Q
10
value was 3.90, which is far higher than the average
Q
10
value of terrestrial ecosystems. Ecosystem respiration had an apparent diurnal variation pattern in growing season, with peaks and valleys appearing at approximately 14:00 and 10:00, respectively, which could be explained by soil temperature and soil water content variation at 10-cm depth. |
| doi_str_mv | 10.1007/s10661-015-4733-x |
| format | Article |
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2
/m
2
/s, and the lowest was 0.20 μmol CO
2
/m
2
/s. The annual average ecosystem respiration was 2.06 μmol CO
2
/m
2
/s. The total annual respiration was 599.98 g C/m
2
, and respiration during the growing season (from May to September) accounted for 78 % of the annual sum. Nonlinear regression revealed that ecosystem respiration has a significant exponential correlation with soil temperature at 10-cm depth (
R
2
= 0.98). The
Q
10
value was 3.90, which is far higher than the average
Q
10
value of terrestrial ecosystems. Ecosystem respiration had an apparent diurnal variation pattern in growing season, with peaks and valleys appearing at approximately 14:00 and 10:00, respectively, which could be explained by soil temperature and soil water content variation at 10-cm depth.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-015-4733-x</identifier><identifier>PMID: 26239569</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Analysis ; Atmospheric Protection/Air Quality Control/Air Pollution ; Automation ; Carbon ; Carbon Cycle ; Carbon dioxide ; Carbon Dioxide - analysis ; Diurnal variations ; Earth and Environmental Science ; Ecology ; Ecosystem ; Ecosystem studies ; Ecosystems ; Ecotoxicology ; Environment ; Environmental Management ; Environmental monitoring ; Environmental Monitoring - methods ; Geochemistry ; Growing season ; Moisture content ; Monitoring/Environmental Analysis ; Peatlands ; Precipitation ; Rain ; Regression Analysis ; Respiration ; Seasons ; Sensors ; Soil ; Soil temperature ; Soil water ; Soils ; Studies ; Temperature ; Terrestrial ecosystems ; Tibet ; Time Factors ; Water ; Water content ; Water depth</subject><ispartof>Environmental monitoring and assessment, 2015-09, Vol.187 (9), p.550-9, Article 550</ispartof><rights>Springer International Publishing Switzerland 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-4f2e8573b9a0ab2bb5caa6aa9198977ea34f216e6a3e35f61cef6551b895e863</citedby><cites>FETCH-LOGICAL-c372t-4f2e8573b9a0ab2bb5caa6aa9198977ea34f216e6a3e35f61cef6551b895e863</cites><orcidid>0000-0002-2341-3882</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10661-015-4733-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-015-4733-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26239569$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Peng, Haijun</creatorcontrib><creatorcontrib>Hong, Bing</creatorcontrib><creatorcontrib>Hong, Yetang</creatorcontrib><creatorcontrib>Zhu, Yongxuan</creatorcontrib><creatorcontrib>Cai, Chen</creatorcontrib><creatorcontrib>Yuan, Lingui</creatorcontrib><creatorcontrib>Wang, Yu</creatorcontrib><title>Annual ecosystem respiration variability of alpine peatland on the eastern Qinghai–Tibet Plateau and its controlling factors</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>Peatlands are widely developed in the eastern Qinghai–Tibet Plateau, but little is known about carbon budgets for these alpine peatland ecosystems. In this study, we used an automatic chamber system to measure ecosystem respiration in the Hongyuan peatland, which is located in the eastern Qinghai–Tibet Plateau. Annual ecosystem respiration measurements showed a typical seasonal pattern, with the peak appearing in June. The highest respiration was 10.43 μmol CO
2
/m
2
/s, and the lowest was 0.20 μmol CO
2
/m
2
/s. The annual average ecosystem respiration was 2.06 μmol CO
2
/m
2
/s. The total annual respiration was 599.98 g C/m
2
, and respiration during the growing season (from May to September) accounted for 78 % of the annual sum. Nonlinear regression revealed that ecosystem respiration has a significant exponential correlation with soil temperature at 10-cm depth (
R
2
= 0.98). The
Q
10
value was 3.90, which is far higher than the average
Q
10
value of terrestrial ecosystems. Ecosystem respiration had an apparent diurnal variation pattern in growing season, with peaks and valleys appearing at approximately 14:00 and 10:00, respectively, which could be explained by soil temperature and soil water content variation at 10-cm depth.</description><subject>Analysis</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Automation</subject><subject>Carbon</subject><subject>Carbon Cycle</subject><subject>Carbon dioxide</subject><subject>Carbon Dioxide - analysis</subject><subject>Diurnal variations</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Ecosystem</subject><subject>Ecosystem studies</subject><subject>Ecosystems</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Environmental monitoring</subject><subject>Environmental Monitoring - methods</subject><subject>Geochemistry</subject><subject>Growing season</subject><subject>Moisture content</subject><subject>Monitoring/Environmental Analysis</subject><subject>Peatlands</subject><subject>Precipitation</subject><subject>Rain</subject><subject>Regression Analysis</subject><subject>Respiration</subject><subject>Seasons</subject><subject>Sensors</subject><subject>Soil</subject><subject>Soil temperature</subject><subject>Soil water</subject><subject>Soils</subject><subject>Studies</subject><subject>Temperature</subject><subject>Terrestrial ecosystems</subject><subject>Tibet</subject><subject>Time Factors</subject><subject>Water</subject><subject>Water content</subject><subject>Water depth</subject><issn>0167-6369</issn><issn>1573-2959</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kc9qFTEUh4NY7LX6AG4k4MbN2JzJTTJZllL_QMEKdx_OTM-0KXOTMclI70Z8B9_QJzGXW0WErrLI9_sl53yMvQLxDoQwpxmE1tAIUM3aSNncP2ErUEY2rVX2KVsJ0KbRUttj9jznOyGENWv7jB23upVWabti389CWHDiNMS8y4W2PFGefcLiY-DfMHns_eTLjseR4zT7QHwmLBOGa16JckucsAZT4F98uLlF_-vHz43vqfCrCQvhwveoL5kPMZQUp6lifMShxJRfsKMRp0wvH84Ttnl_sTn_2Fx-_vDp_OyyGaRpS7MeW-rqYL1FgX3b92pA1IgWbGeNIZSVAE0aJUk1ahho1EpB31lFnZYn7O2hdk7x60K5uK3PA011CopLdtCJTnYAbVvRN_-hd3FJoX7OgakLBLNWUCk4UEOKOSca3Zz8FtPOgXB7N-7gxlU3bu_G3dfM64fmpd_S9d_EHxkVaA9ArlfhhtI_Tz_a-hvU551b</recordid><startdate>20150901</startdate><enddate>20150901</enddate><creator>Peng, Haijun</creator><creator>Hong, Bing</creator><creator>Hong, Yetang</creator><creator>Zhu, Yongxuan</creator><creator>Cai, Chen</creator><creator>Yuan, Lingui</creator><creator>Wang, Yu</creator><general>Springer International Publishing</general><general>Springer Nature B.V</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>3V.</scope><scope>7QH</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7TG</scope><scope>7TN</scope><scope>7U7</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KL.</scope><scope>L.-</scope><scope>L.G</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7TV</scope><orcidid>https://orcid.org/0000-0002-2341-3882</orcidid></search><sort><creationdate>20150901</creationdate><title>Annual ecosystem respiration variability of alpine peatland on the eastern Qinghai–Tibet Plateau and its controlling factors</title><author>Peng, Haijun ; Hong, Bing ; Hong, Yetang ; Zhu, Yongxuan ; Cai, Chen ; Yuan, Lingui ; Wang, Yu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-4f2e8573b9a0ab2bb5caa6aa9198977ea34f216e6a3e35f61cef6551b895e863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Analysis</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Automation</topic><topic>Carbon</topic><topic>Carbon Cycle</topic><topic>Carbon dioxide</topic><topic>Carbon Dioxide - 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In this study, we used an automatic chamber system to measure ecosystem respiration in the Hongyuan peatland, which is located in the eastern Qinghai–Tibet Plateau. Annual ecosystem respiration measurements showed a typical seasonal pattern, with the peak appearing in June. The highest respiration was 10.43 μmol CO
2
/m
2
/s, and the lowest was 0.20 μmol CO
2
/m
2
/s. The annual average ecosystem respiration was 2.06 μmol CO
2
/m
2
/s. The total annual respiration was 599.98 g C/m
2
, and respiration during the growing season (from May to September) accounted for 78 % of the annual sum. Nonlinear regression revealed that ecosystem respiration has a significant exponential correlation with soil temperature at 10-cm depth (
R
2
= 0.98). The
Q
10
value was 3.90, which is far higher than the average
Q
10
value of terrestrial ecosystems. Ecosystem respiration had an apparent diurnal variation pattern in growing season, with peaks and valleys appearing at approximately 14:00 and 10:00, respectively, which could be explained by soil temperature and soil water content variation at 10-cm depth.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>26239569</pmid><doi>10.1007/s10661-015-4733-x</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-2341-3882</orcidid></addata></record> |
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| ispartof | Environmental monitoring and assessment, 2015-09, Vol.187 (9), p.550-9, Article 550 |
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| subjects | Analysis Atmospheric Protection/Air Quality Control/Air Pollution Automation Carbon Carbon Cycle Carbon dioxide Carbon Dioxide - analysis Diurnal variations Earth and Environmental Science Ecology Ecosystem Ecosystem studies Ecosystems Ecotoxicology Environment Environmental Management Environmental monitoring Environmental Monitoring - methods Geochemistry Growing season Moisture content Monitoring/Environmental Analysis Peatlands Precipitation Rain Regression Analysis Respiration Seasons Sensors Soil Soil temperature Soil water Soils Studies Temperature Terrestrial ecosystems Tibet Time Factors Water Water content Water depth |
| title | Annual ecosystem respiration variability of alpine peatland on the eastern Qinghai–Tibet Plateau and its controlling factors |
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