Seasonal patterns in soil surface CO₂ flux under snow cover in 50 and 300 year old subalpine forests
Soil CO₂ flux can contribute as much as 60-80% of total ecosystem respiration in forests. Although considerable research has focused on quantifying this flux during the growing season, comparatively little effort has focused on non-growing season fluxes. We measured soil CO₂ efflux through snow in 5...
Gespeichert in:
Veröffentlicht in: | Biogeochemistry 2005-03, Vol.73 (1), p.93-107 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 107 |
---|---|
container_issue | 1 |
container_start_page | 93 |
container_title | Biogeochemistry |
container_volume | 73 |
creator | Hubbard, R.M Ryan, M.G Elder, K Rhoades, C.C |
description | Soil CO₂ flux can contribute as much as 60-80% of total ecosystem respiration in forests. Although considerable research has focused on quantifying this flux during the growing season, comparatively little effort has focused on non-growing season fluxes. We measured soil CO₂ efflux through snow in 50 and ∼300 year old subalpine forest stands near Fraser CO. Our objectives were to quantify seasonal patterns in wintertime soil CO₂ flux; determine if differences in soil CO₂ flux between the two forest ages during the growing season persist during winter; and to quantify the sample size necessary to discern treatment differences. Soil CO₂ flux during the 2002-2003 and 2003-2004 snow season averaged 0.31 and 0.35 μmols$\text{m}^{-2}\text{s}^{-1}$for the young and old forests respectively; similar to the relative difference observed during summer. There was a significant seasonal pattern of soil CO₂ flux during the winter with fluxes averaging 0.22 μmols$\text{m}^{-2}\text{s}^{-1}$in December and January and increasing to an average of 0.61 μmols$\text{m}^{-2}\text{s}^{-1}$in May. Within-plot variability for measurements used in calculating flux was low. The coefficients of variation (CV) for CO₂ concentration, snowpack density, and snow depth were 17, 8 and 14%, respectively, yielding a CV for flux measurements within-plot of 29%. A within plot CV of 29% requires 8 sub-samples per plot to estimate the mean flux with a standard error of ± 10% of the mean. Variability in CO₂ flux estimates among plots (size = 400 m) was similar to that within plot and was also low (CV = ∼28%). With a CV of 28% among plots, ten plots per treatment would have a 50% probability of detecting a 25% difference in treatment means for α = 0.05. |
doi_str_mv | 10.1007/s10533-004-1990-0 |
format | Article |
fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_journals_741000256</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>20055188</jstor_id><sourcerecordid>20055188</sourcerecordid><originalsourceid>FETCH-LOGICAL-c299t-d04e57756a552b8aed3ebb679e2281e1fcae56383aa90e76d92dd3da5ddd61713</originalsourceid><addsrcrecordid>eNo9kE9LxDAQxYMouK5-AA9i8F6dNE3SHmXxHwh7WBe8hWmTSpfa1KRV97of1U9iloqnGXjvzfB-hJwzuGYA6iYwEJwnAFnCigISOCAzJhRPBBOvh2QGTOZJKiQ_JichbACgUMBnpF5ZDK7DlvY4DNZ3gTYdDa5paRh9jZWli-XPbkfrdvymY2esp6FzX7Ryn3GNXgEUO0M5AN1a9NS1JkZLbPums7R23oYhnJKjGttgz_7mnKzv714Wj8nz8uFpcfucVGlRDImBzAqlhEQh0jJHa7gtS6kKm6Y5s6yu0MYOOUcswCppitQYblAYYyRTjM_J1XS39-5jjJ_1xo0-1gtaZREU7BHMCZtMlXcheFvr3jfv6Leagd7T1BNNHWnqPU0NMXMxZTZhcP4_kAIIwfI86peTXqPT-OaboNerFBgHBlJmMue_B3h67A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>741000256</pqid></control><display><type>article</type><title>Seasonal patterns in soil surface CO₂ flux under snow cover in 50 and 300 year old subalpine forests</title><source>JSTOR Archive Collection A-Z Listing</source><source>SpringerLink Journals - AutoHoldings</source><creator>Hubbard, R.M ; Ryan, M.G ; Elder, K ; Rhoades, C.C</creator><creatorcontrib>Hubbard, R.M ; Ryan, M.G ; Elder, K ; Rhoades, C.C</creatorcontrib><description>Soil CO₂ flux can contribute as much as 60-80% of total ecosystem respiration in forests. Although considerable research has focused on quantifying this flux during the growing season, comparatively little effort has focused on non-growing season fluxes. We measured soil CO₂ efflux through snow in 50 and ∼300 year old subalpine forest stands near Fraser CO. Our objectives were to quantify seasonal patterns in wintertime soil CO₂ flux; determine if differences in soil CO₂ flux between the two forest ages during the growing season persist during winter; and to quantify the sample size necessary to discern treatment differences. Soil CO₂ flux during the 2002-2003 and 2003-2004 snow season averaged 0.31 and 0.35 μmols$\text{m}^{-2}\text{s}^{-1}$for the young and old forests respectively; similar to the relative difference observed during summer. There was a significant seasonal pattern of soil CO₂ flux during the winter with fluxes averaging 0.22 μmols$\text{m}^{-2}\text{s}^{-1}$in December and January and increasing to an average of 0.61 μmols$\text{m}^{-2}\text{s}^{-1}$in May. Within-plot variability for measurements used in calculating flux was low. The coefficients of variation (CV) for CO₂ concentration, snowpack density, and snow depth were 17, 8 and 14%, respectively, yielding a CV for flux measurements within-plot of 29%. A within plot CV of 29% requires 8 sub-samples per plot to estimate the mean flux with a standard error of ± 10% of the mean. Variability in CO₂ flux estimates among plots (size = 400 m) was similar to that within plot and was also low (CV = ∼28%). With a CV of 28% among plots, ten plots per treatment would have a 50% probability of detecting a 25% difference in treatment means for α = 0.05.</description><identifier>ISSN: 0168-2563</identifier><identifier>EISSN: 1573-515X</identifier><identifier>DOI: 10.1007/s10533-004-1990-0</identifier><language>eng</language><publisher>Dordrecht: Springer</publisher><subject>biogeochemical cycles ; Carbon dioxide ; Density ; Fluctuations ; forest age ; Forest ecosystems ; Forest soils ; Forests ; gas emissions ; gas production (biological) ; Growing season ; Growing seasons ; montane forests ; seasonal variation ; Snow ; Snow cover ; Snow depth ; Snowpack ; Soil ecology ; soil respiration ; Soil samples ; Soil science ; Soil surfaces ; Soils ; Subalpine forests ; Winter</subject><ispartof>Biogeochemistry, 2005-03, Vol.73 (1), p.93-107</ispartof><rights>Copyright 2005 Springer</rights><rights>Springer 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c299t-d04e57756a552b8aed3ebb679e2281e1fcae56383aa90e76d92dd3da5ddd61713</citedby><cites>FETCH-LOGICAL-c299t-d04e57756a552b8aed3ebb679e2281e1fcae56383aa90e76d92dd3da5ddd61713</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/20055188$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/20055188$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,27924,27925,58017,58250</link.rule.ids></links><search><creatorcontrib>Hubbard, R.M</creatorcontrib><creatorcontrib>Ryan, M.G</creatorcontrib><creatorcontrib>Elder, K</creatorcontrib><creatorcontrib>Rhoades, C.C</creatorcontrib><title>Seasonal patterns in soil surface CO₂ flux under snow cover in 50 and 300 year old subalpine forests</title><title>Biogeochemistry</title><description>Soil CO₂ flux can contribute as much as 60-80% of total ecosystem respiration in forests. Although considerable research has focused on quantifying this flux during the growing season, comparatively little effort has focused on non-growing season fluxes. We measured soil CO₂ efflux through snow in 50 and ∼300 year old subalpine forest stands near Fraser CO. Our objectives were to quantify seasonal patterns in wintertime soil CO₂ flux; determine if differences in soil CO₂ flux between the two forest ages during the growing season persist during winter; and to quantify the sample size necessary to discern treatment differences. Soil CO₂ flux during the 2002-2003 and 2003-2004 snow season averaged 0.31 and 0.35 μmols$\text{m}^{-2}\text{s}^{-1}$for the young and old forests respectively; similar to the relative difference observed during summer. There was a significant seasonal pattern of soil CO₂ flux during the winter with fluxes averaging 0.22 μmols$\text{m}^{-2}\text{s}^{-1}$in December and January and increasing to an average of 0.61 μmols$\text{m}^{-2}\text{s}^{-1}$in May. Within-plot variability for measurements used in calculating flux was low. The coefficients of variation (CV) for CO₂ concentration, snowpack density, and snow depth were 17, 8 and 14%, respectively, yielding a CV for flux measurements within-plot of 29%. A within plot CV of 29% requires 8 sub-samples per plot to estimate the mean flux with a standard error of ± 10% of the mean. Variability in CO₂ flux estimates among plots (size = 400 m) was similar to that within plot and was also low (CV = ∼28%). With a CV of 28% among plots, ten plots per treatment would have a 50% probability of detecting a 25% difference in treatment means for α = 0.05.</description><subject>biogeochemical cycles</subject><subject>Carbon dioxide</subject><subject>Density</subject><subject>Fluctuations</subject><subject>forest age</subject><subject>Forest ecosystems</subject><subject>Forest soils</subject><subject>Forests</subject><subject>gas emissions</subject><subject>gas production (biological)</subject><subject>Growing season</subject><subject>Growing seasons</subject><subject>montane forests</subject><subject>seasonal variation</subject><subject>Snow</subject><subject>Snow cover</subject><subject>Snow depth</subject><subject>Snowpack</subject><subject>Soil ecology</subject><subject>soil respiration</subject><subject>Soil samples</subject><subject>Soil science</subject><subject>Soil surfaces</subject><subject>Soils</subject><subject>Subalpine forests</subject><subject>Winter</subject><issn>0168-2563</issn><issn>1573-515X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNo9kE9LxDAQxYMouK5-AA9i8F6dNE3SHmXxHwh7WBe8hWmTSpfa1KRV97of1U9iloqnGXjvzfB-hJwzuGYA6iYwEJwnAFnCigISOCAzJhRPBBOvh2QGTOZJKiQ_JichbACgUMBnpF5ZDK7DlvY4DNZ3gTYdDa5paRh9jZWli-XPbkfrdvymY2esp6FzX7Ryn3GNXgEUO0M5AN1a9NS1JkZLbPums7R23oYhnJKjGttgz_7mnKzv714Wj8nz8uFpcfucVGlRDImBzAqlhEQh0jJHa7gtS6kKm6Y5s6yu0MYOOUcswCppitQYblAYYyRTjM_J1XS39-5jjJ_1xo0-1gtaZREU7BHMCZtMlXcheFvr3jfv6Leagd7T1BNNHWnqPU0NMXMxZTZhcP4_kAIIwfI86peTXqPT-OaboNerFBgHBlJmMue_B3h67A</recordid><startdate>200503</startdate><enddate>200503</enddate><creator>Hubbard, R.M</creator><creator>Ryan, M.G</creator><creator>Elder, K</creator><creator>Rhoades, C.C</creator><general>Springer</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>LK8</scope><scope>M0S</scope><scope>M2P</scope><scope>M7P</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>200503</creationdate><title>Seasonal patterns in soil surface CO₂ flux under snow cover in 50 and 300 year old subalpine forests</title><author>Hubbard, R.M ; Ryan, M.G ; Elder, K ; Rhoades, C.C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c299t-d04e57756a552b8aed3ebb679e2281e1fcae56383aa90e76d92dd3da5ddd61713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>biogeochemical cycles</topic><topic>Carbon dioxide</topic><topic>Density</topic><topic>Fluctuations</topic><topic>forest age</topic><topic>Forest ecosystems</topic><topic>Forest soils</topic><topic>Forests</topic><topic>gas emissions</topic><topic>gas production (biological)</topic><topic>Growing season</topic><topic>Growing seasons</topic><topic>montane forests</topic><topic>seasonal variation</topic><topic>Snow</topic><topic>Snow cover</topic><topic>Snow depth</topic><topic>Snowpack</topic><topic>Soil ecology</topic><topic>soil respiration</topic><topic>Soil samples</topic><topic>Soil science</topic><topic>Soil surfaces</topic><topic>Soils</topic><topic>Subalpine forests</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hubbard, R.M</creatorcontrib><creatorcontrib>Ryan, M.G</creatorcontrib><creatorcontrib>Elder, K</creatorcontrib><creatorcontrib>Rhoades, C.C</creatorcontrib><collection>AGRIS</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Water Resources Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Biogeochemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hubbard, R.M</au><au>Ryan, M.G</au><au>Elder, K</au><au>Rhoades, C.C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Seasonal patterns in soil surface CO₂ flux under snow cover in 50 and 300 year old subalpine forests</atitle><jtitle>Biogeochemistry</jtitle><date>2005-03</date><risdate>2005</risdate><volume>73</volume><issue>1</issue><spage>93</spage><epage>107</epage><pages>93-107</pages><issn>0168-2563</issn><eissn>1573-515X</eissn><abstract>Soil CO₂ flux can contribute as much as 60-80% of total ecosystem respiration in forests. Although considerable research has focused on quantifying this flux during the growing season, comparatively little effort has focused on non-growing season fluxes. We measured soil CO₂ efflux through snow in 50 and ∼300 year old subalpine forest stands near Fraser CO. Our objectives were to quantify seasonal patterns in wintertime soil CO₂ flux; determine if differences in soil CO₂ flux between the two forest ages during the growing season persist during winter; and to quantify the sample size necessary to discern treatment differences. Soil CO₂ flux during the 2002-2003 and 2003-2004 snow season averaged 0.31 and 0.35 μmols$\text{m}^{-2}\text{s}^{-1}$for the young and old forests respectively; similar to the relative difference observed during summer. There was a significant seasonal pattern of soil CO₂ flux during the winter with fluxes averaging 0.22 μmols$\text{m}^{-2}\text{s}^{-1}$in December and January and increasing to an average of 0.61 μmols$\text{m}^{-2}\text{s}^{-1}$in May. Within-plot variability for measurements used in calculating flux was low. The coefficients of variation (CV) for CO₂ concentration, snowpack density, and snow depth were 17, 8 and 14%, respectively, yielding a CV for flux measurements within-plot of 29%. A within plot CV of 29% requires 8 sub-samples per plot to estimate the mean flux with a standard error of ± 10% of the mean. Variability in CO₂ flux estimates among plots (size = 400 m) was similar to that within plot and was also low (CV = ∼28%). With a CV of 28% among plots, ten plots per treatment would have a 50% probability of detecting a 25% difference in treatment means for α = 0.05.</abstract><cop>Dordrecht</cop><pub>Springer</pub><doi>10.1007/s10533-004-1990-0</doi><tpages>15</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0168-2563 |
ispartof | Biogeochemistry, 2005-03, Vol.73 (1), p.93-107 |
issn | 0168-2563 1573-515X |
language | eng |
recordid | cdi_proquest_journals_741000256 |
source | JSTOR Archive Collection A-Z Listing; SpringerLink Journals - AutoHoldings |
subjects | biogeochemical cycles Carbon dioxide Density Fluctuations forest age Forest ecosystems Forest soils Forests gas emissions gas production (biological) Growing season Growing seasons montane forests seasonal variation Snow Snow cover Snow depth Snowpack Soil ecology soil respiration Soil samples Soil science Soil surfaces Soils Subalpine forests Winter |
title | Seasonal patterns in soil surface CO₂ flux under snow cover in 50 and 300 year old subalpine forests |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T21%3A00%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Seasonal%20patterns%20in%20soil%20surface%20CO%E2%82%82%20flux%20under%20snow%20cover%20in%2050%20and%20300%20year%20old%20subalpine%20forests&rft.jtitle=Biogeochemistry&rft.au=Hubbard,%20R.M&rft.date=2005-03&rft.volume=73&rft.issue=1&rft.spage=93&rft.epage=107&rft.pages=93-107&rft.issn=0168-2563&rft.eissn=1573-515X&rft_id=info:doi/10.1007/s10533-004-1990-0&rft_dat=%3Cjstor_proqu%3E20055188%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=741000256&rft_id=info:pmid/&rft_jstor_id=20055188&rfr_iscdi=true |