Modeling acclimation of photosynthesis to temperature in evergreen conifer forests
In this study, we used a canopy photosynthesis model which describes changes in photosynthetic capacity with slow temperature-dependent acclimations. A flux-partitioning algorithm was applied to fit the photosynthesis model to net ecosystem exchange data for 12 evergreen coniferous forests from nort...
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Veröffentlicht in: | The New phytologist 2010-10, Vol.188 (1), p.175-186 |
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creator | Gea-Izquierdo, Guillermo Mäkelä, Annikki Margolis, Hank Bergeron, Yves Black, T. Andrew Dunn, Allison Hadley, Julian Paw U., Kyaw Tha Falk, Matthias Wharton, Sonia Monson, Russell Hollinger, David Y Laurila, Tuomas Aurela, Mika McCaughey, Harry Bourque, Charles Vesala, Timo Berninger, Frank |
description | In this study, we used a canopy photosynthesis model which describes changes in photosynthetic capacity with slow temperature-dependent acclimations. A flux-partitioning algorithm was applied to fit the photosynthesis model to net ecosystem exchange data for 12 evergreen coniferous forests from northern temperate and boreal regions. The model accounted for much of the variation in photosynthetic production, with modeling efficiencies (mean > 67%) similar to those of more complex models. The parameter describing the rate of acclimation was larger at the northern sites, leading to a slower acclimation of photosynthesis to temperature. The response of the rates of photosynthesis to air temperature in spring was delayed up to several days at the coldest sites. Overall photosynthesis acclimation processes were slower at colder, northern locations than at warmer, more southern, and more maritime sites. Consequently, slow changes in photosynthetic capacity were essential to explaining variations of photosynthesis for colder boreal forests (i.e. where acclimation of photosynthesis to temperature was slower), whereas the importance of these processes was minor in warmer conifer evergreen forests. |
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Andrew ; Dunn, Allison ; Hadley, Julian ; Paw U., Kyaw Tha ; Falk, Matthias ; Wharton, Sonia ; Monson, Russell ; Hollinger, David Y ; Laurila, Tuomas ; Aurela, Mika ; McCaughey, Harry ; Bourque, Charles ; Vesala, Timo ; Berninger, Frank</creator><creatorcontrib>Gea-Izquierdo, Guillermo ; Mäkelä, Annikki ; Margolis, Hank ; Bergeron, Yves ; Black, T. Andrew ; Dunn, Allison ; Hadley, Julian ; Paw U., Kyaw Tha ; Falk, Matthias ; Wharton, Sonia ; Monson, Russell ; Hollinger, David Y ; Laurila, Tuomas ; Aurela, Mika ; McCaughey, Harry ; Bourque, Charles ; Vesala, Timo ; Berninger, Frank</creatorcontrib><description>In this study, we used a canopy photosynthesis model which describes changes in photosynthetic capacity with slow temperature-dependent acclimations. A flux-partitioning algorithm was applied to fit the photosynthesis model to net ecosystem exchange data for 12 evergreen coniferous forests from northern temperate and boreal regions. The model accounted for much of the variation in photosynthetic production, with modeling efficiencies (mean > 67%) similar to those of more complex models. The parameter describing the rate of acclimation was larger at the northern sites, leading to a slower acclimation of photosynthesis to temperature. The response of the rates of photosynthesis to air temperature in spring was delayed up to several days at the coldest sites. Overall photosynthesis acclimation processes were slower at colder, northern locations than at warmer, more southern, and more maritime sites. Consequently, slow changes in photosynthetic capacity were essential to explaining variations of photosynthesis for colder boreal forests (i.e. where acclimation of photosynthesis to temperature was slower), whereas the importance of these processes was minor in warmer conifer evergreen forests.</description><identifier>ISSN: 0028-646X</identifier><identifier>EISSN: 1469-8137</identifier><identifier>DOI: 10.1111/j.1469-8137.2010.03367.x</identifier><identifier>PMID: 20618918</identifier><language>eng</language><publisher>Oxford, UK: Oxford, UK : Blackwell Publishing Ltd</publisher><subject>Acclimatization ; Acclimatization - physiology ; boreal ecosystems ; Boreal forests ; carbon fluxes ; Coniferophyta - physiology ; Coniferous forests ; Ecological modeling ; Ecosystem models ; eddy covariance ; Forest ecosystems ; mechanistic models ; Modeling ; Models, Biological ; Net ecosystem exchange ; Parametric models ; Photosynthesis ; Photosynthesis - physiology ; Seasons ; Temperature ; temperature acclimation ; Time Factors ; Trees - physiology</subject><ispartof>The New phytologist, 2010-10, Vol.188 (1), p.175-186</ispartof><rights>2010 New Phytologist Trust</rights><rights>The Authors (2010). Journal compilation © New Phytologist Trust (2010)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5307-6a28f226aa4547c05aec7c1a24c954e7a3c98ce66fba74375c15afed90f983033</citedby><cites>FETCH-LOGICAL-c5307-6a28f226aa4547c05aec7c1a24c954e7a3c98ce66fba74375c15afed90f983033</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/40856391$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/40856391$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>315,781,785,804,1418,1434,27926,27927,45576,45577,46411,46835,58019,58252</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20618918$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gea-Izquierdo, Guillermo</creatorcontrib><creatorcontrib>Mäkelä, Annikki</creatorcontrib><creatorcontrib>Margolis, Hank</creatorcontrib><creatorcontrib>Bergeron, Yves</creatorcontrib><creatorcontrib>Black, T. Andrew</creatorcontrib><creatorcontrib>Dunn, Allison</creatorcontrib><creatorcontrib>Hadley, Julian</creatorcontrib><creatorcontrib>Paw U., Kyaw Tha</creatorcontrib><creatorcontrib>Falk, Matthias</creatorcontrib><creatorcontrib>Wharton, Sonia</creatorcontrib><creatorcontrib>Monson, Russell</creatorcontrib><creatorcontrib>Hollinger, David Y</creatorcontrib><creatorcontrib>Laurila, Tuomas</creatorcontrib><creatorcontrib>Aurela, Mika</creatorcontrib><creatorcontrib>McCaughey, Harry</creatorcontrib><creatorcontrib>Bourque, Charles</creatorcontrib><creatorcontrib>Vesala, Timo</creatorcontrib><creatorcontrib>Berninger, Frank</creatorcontrib><title>Modeling acclimation of photosynthesis to temperature in evergreen conifer forests</title><title>The New phytologist</title><addtitle>New Phytol</addtitle><description>In this study, we used a canopy photosynthesis model which describes changes in photosynthetic capacity with slow temperature-dependent acclimations. A flux-partitioning algorithm was applied to fit the photosynthesis model to net ecosystem exchange data for 12 evergreen coniferous forests from northern temperate and boreal regions. The model accounted for much of the variation in photosynthetic production, with modeling efficiencies (mean > 67%) similar to those of more complex models. The parameter describing the rate of acclimation was larger at the northern sites, leading to a slower acclimation of photosynthesis to temperature. The response of the rates of photosynthesis to air temperature in spring was delayed up to several days at the coldest sites. Overall photosynthesis acclimation processes were slower at colder, northern locations than at warmer, more southern, and more maritime sites. Consequently, slow changes in photosynthetic capacity were essential to explaining variations of photosynthesis for colder boreal forests (i.e. where acclimation of photosynthesis to temperature was slower), whereas the importance of these processes was minor in warmer conifer evergreen forests.</description><subject>Acclimatization</subject><subject>Acclimatization - physiology</subject><subject>boreal ecosystems</subject><subject>Boreal forests</subject><subject>carbon fluxes</subject><subject>Coniferophyta - physiology</subject><subject>Coniferous forests</subject><subject>Ecological modeling</subject><subject>Ecosystem models</subject><subject>eddy covariance</subject><subject>Forest ecosystems</subject><subject>mechanistic models</subject><subject>Modeling</subject><subject>Models, Biological</subject><subject>Net ecosystem exchange</subject><subject>Parametric models</subject><subject>Photosynthesis</subject><subject>Photosynthesis - physiology</subject><subject>Seasons</subject><subject>Temperature</subject><subject>temperature acclimation</subject><subject>Time Factors</subject><subject>Trees - physiology</subject><issn>0028-646X</issn><issn>1469-8137</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkEtPGzEUhS1UBIHyEwDvuppgj5-z6KKKWqjEo2qL1J1lnOvgaDIO9qSQf4-nA1nXG1v3nnOu74cQpmRKy7lYTimXTaUpU9OalCphTKrpyx6a7Bof0ISQWleSyz-H6CjnJSGkEbI-QIc1kVQ3VE_Qz5s4hzZ0C2yda8PK9iF2OHq8fox9zNuuf4QcMu4j7mG1hmT7TQIcOgx_IS0SQIdd7IKHhH1MkPv8Ee1722Y4ebuP0f23r79nV9X13eX32ZfryglGVCVtrX1dS2u54MoRYcEpR23NXSM4KMtcox1I6R-s4kwJR4X1MG-IbzQrCx-jT2PuOsWnTZlsViE7aFvbQdxko4SgmitKi1KPSpdizgm8WaeyatoaSswA1CzNwM0M3MwA1PwDal6K9extyOZhBfOd8Z1gEXweBc-hhe1_B5vbH1fDq_hPR_8y9zHt_JxoIVkz_P187HsbjV2kkM39r5LECNWaF5DsFROzmFU</recordid><startdate>201010</startdate><enddate>201010</enddate><creator>Gea-Izquierdo, Guillermo</creator><creator>Mäkelä, Annikki</creator><creator>Margolis, Hank</creator><creator>Bergeron, Yves</creator><creator>Black, T. 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Andrew ; Dunn, Allison ; Hadley, Julian ; Paw U., Kyaw Tha ; Falk, Matthias ; Wharton, Sonia ; Monson, Russell ; Hollinger, David Y ; Laurila, Tuomas ; Aurela, Mika ; McCaughey, Harry ; Bourque, Charles ; Vesala, Timo ; Berninger, Frank</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5307-6a28f226aa4547c05aec7c1a24c954e7a3c98ce66fba74375c15afed90f983033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Acclimatization</topic><topic>Acclimatization - physiology</topic><topic>boreal ecosystems</topic><topic>Boreal forests</topic><topic>carbon fluxes</topic><topic>Coniferophyta - physiology</topic><topic>Coniferous forests</topic><topic>Ecological modeling</topic><topic>Ecosystem models</topic><topic>eddy covariance</topic><topic>Forest ecosystems</topic><topic>mechanistic models</topic><topic>Modeling</topic><topic>Models, Biological</topic><topic>Net ecosystem exchange</topic><topic>Parametric models</topic><topic>Photosynthesis</topic><topic>Photosynthesis - physiology</topic><topic>Seasons</topic><topic>Temperature</topic><topic>temperature acclimation</topic><topic>Time Factors</topic><topic>Trees - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gea-Izquierdo, Guillermo</creatorcontrib><creatorcontrib>Mäkelä, Annikki</creatorcontrib><creatorcontrib>Margolis, Hank</creatorcontrib><creatorcontrib>Bergeron, Yves</creatorcontrib><creatorcontrib>Black, T. 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Andrew</au><au>Dunn, Allison</au><au>Hadley, Julian</au><au>Paw U., Kyaw Tha</au><au>Falk, Matthias</au><au>Wharton, Sonia</au><au>Monson, Russell</au><au>Hollinger, David Y</au><au>Laurila, Tuomas</au><au>Aurela, Mika</au><au>McCaughey, Harry</au><au>Bourque, Charles</au><au>Vesala, Timo</au><au>Berninger, Frank</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling acclimation of photosynthesis to temperature in evergreen conifer forests</atitle><jtitle>The New phytologist</jtitle><addtitle>New Phytol</addtitle><date>2010-10</date><risdate>2010</risdate><volume>188</volume><issue>1</issue><spage>175</spage><epage>186</epage><pages>175-186</pages><issn>0028-646X</issn><eissn>1469-8137</eissn><abstract>In this study, we used a canopy photosynthesis model which describes changes in photosynthetic capacity with slow temperature-dependent acclimations. A flux-partitioning algorithm was applied to fit the photosynthesis model to net ecosystem exchange data for 12 evergreen coniferous forests from northern temperate and boreal regions. The model accounted for much of the variation in photosynthetic production, with modeling efficiencies (mean > 67%) similar to those of more complex models. The parameter describing the rate of acclimation was larger at the northern sites, leading to a slower acclimation of photosynthesis to temperature. The response of the rates of photosynthesis to air temperature in spring was delayed up to several days at the coldest sites. Overall photosynthesis acclimation processes were slower at colder, northern locations than at warmer, more southern, and more maritime sites. Consequently, slow changes in photosynthetic capacity were essential to explaining variations of photosynthesis for colder boreal forests (i.e. where acclimation of photosynthesis to temperature was slower), whereas the importance of these processes was minor in warmer conifer evergreen forests.</abstract><cop>Oxford, UK</cop><pub>Oxford, UK : Blackwell Publishing Ltd</pub><pmid>20618918</pmid><doi>10.1111/j.1469-8137.2010.03367.x</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Acclimatization Acclimatization - physiology boreal ecosystems Boreal forests carbon fluxes Coniferophyta - physiology Coniferous forests Ecological modeling Ecosystem models eddy covariance Forest ecosystems mechanistic models Modeling Models, Biological Net ecosystem exchange Parametric models Photosynthesis Photosynthesis - physiology Seasons Temperature temperature acclimation Time Factors Trees - physiology |
title | Modeling acclimation of photosynthesis to temperature in evergreen conifer forests |
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