Controls of evapotranspiration and CO2 fluxes from scots pine by surface conductance and abiotic factors
Evapotranspiration (E) and CO2 flux (Fc ) in the growing season of an unusual dry year were measured continuously over a Scots pine forest in eastern Finland, by eddy covariance techniques. The aims were to gain an understanding of their biological and environmental control processes. As a result, t...
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description | Evapotranspiration (E) and CO2 flux (Fc ) in the growing season of an unusual dry year were measured continuously over a Scots pine forest in eastern Finland, by eddy covariance techniques. The aims were to gain an understanding of their biological and environmental control processes. As a result, there were obvious diurnal and seasonal changes in E, Fc , surface conductance (gc ), and decoupling coefficient (Ω), showing similar trends to those in radiation (PAR) and vapour pressure deficit (δ). The maximum mean daily values (24-h average) for E, Fc , gc , and Ω were 1.78 mmol m(-2) s(-1), -11.18 µmol m(-2) s(-1), 6.27 mm s(-1), and 0.31, respectively, with seasonal averages of 0.71 mmol m(-2) s(-1), -4.61 µmol m(-2) s(-1), 3.3 mm s(-1), and 0.16. E and Fc were controlled by combined biological and environmental variables. There was curvilinear dependence of E on gc and Fc on gc . Among the environmental variables, PAR was the most important factor having a positive linear relationship to E and curvilinear relationship to Fc , while vapour pressure deficit was the most important environmental factor affecting gc . Water use efficiency was slightly higher in the dry season, with mean monthly values ranging from 6.67 to 7.48 μmol CO2 (mmol H2O)(-1) and a seasonal average of 7.06 μmol CO2 (μmol H2O)(-1). Low Ω and its close positive relationship with gc indicate that evapotranspiration was sensitive to surface conductance. Mid summer drought reduced surface conductance and decoupling coefficient, suggesting a more biotic control of evapotranspiration and a physiological acclimation to dry air. Surface conductance remained low and constant under dry condition, supporting that a constant value of surface constant can be used for modelling transpiration under drought condition. |
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The aims were to gain an understanding of their biological and environmental control processes. As a result, there were obvious diurnal and seasonal changes in E, Fc , surface conductance (gc ), and decoupling coefficient (Ω), showing similar trends to those in radiation (PAR) and vapour pressure deficit (δ). The maximum mean daily values (24-h average) for E, Fc , gc , and Ω were 1.78 mmol m(-2) s(-1), -11.18 µmol m(-2) s(-1), 6.27 mm s(-1), and 0.31, respectively, with seasonal averages of 0.71 mmol m(-2) s(-1), -4.61 µmol m(-2) s(-1), 3.3 mm s(-1), and 0.16. E and Fc were controlled by combined biological and environmental variables. There was curvilinear dependence of E on gc and Fc on gc . Among the environmental variables, PAR was the most important factor having a positive linear relationship to E and curvilinear relationship to Fc , while vapour pressure deficit was the most important environmental factor affecting gc . Water use efficiency was slightly higher in the dry season, with mean monthly values ranging from 6.67 to 7.48 μmol CO2 (mmol H2O)(-1) and a seasonal average of 7.06 μmol CO2 (μmol H2O)(-1). Low Ω and its close positive relationship with gc indicate that evapotranspiration was sensitive to surface conductance. Mid summer drought reduced surface conductance and decoupling coefficient, suggesting a more biotic control of evapotranspiration and a physiological acclimation to dry air. Surface conductance remained low and constant under dry condition, supporting that a constant value of surface constant can be used for modelling transpiration under drought condition.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0069027</identifier><identifier>PMID: 23894401</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abiotic factors ; Acclimation ; Acclimatization ; Annual variations ; Biological activity ; Biological effects ; Biology ; Carbon dioxide ; Carbon Dioxide - metabolism ; Carbon dioxide flux ; Climate change ; Conductance ; Coniferous forests ; Covariance ; Decoupling ; Diurnal ; Drought ; Droughts ; Dry air ; Dry season ; Earth Sciences ; Ecosystems ; Eddy covariance ; Environmental control ; Environmental factors ; Evapotranspiration ; Fluxes ; Forestry ; Growing season ; Pine ; Pinus sylvestris ; Pinus sylvestris - metabolism ; Pinus sylvestris - physiology ; Plant Transpiration - physiology ; Pressure ; Radiation ; Resistance ; Seasonal variations ; Transpiration ; Turbulence models ; Vapor pressure ; Vortices ; Water shortages ; Water use ; Water use efficiency</subject><ispartof>PloS one, 2013-07, Vol.8 (7), p.e69027-e69027</ispartof><rights>2013 Zha et al. 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The aims were to gain an understanding of their biological and environmental control processes. As a result, there were obvious diurnal and seasonal changes in E, Fc , surface conductance (gc ), and decoupling coefficient (Ω), showing similar trends to those in radiation (PAR) and vapour pressure deficit (δ). The maximum mean daily values (24-h average) for E, Fc , gc , and Ω were 1.78 mmol m(-2) s(-1), -11.18 µmol m(-2) s(-1), 6.27 mm s(-1), and 0.31, respectively, with seasonal averages of 0.71 mmol m(-2) s(-1), -4.61 µmol m(-2) s(-1), 3.3 mm s(-1), and 0.16. E and Fc were controlled by combined biological and environmental variables. There was curvilinear dependence of E on gc and Fc on gc . Among the environmental variables, PAR was the most important factor having a positive linear relationship to E and curvilinear relationship to Fc , while vapour pressure deficit was the most important environmental factor affecting gc . Water use efficiency was slightly higher in the dry season, with mean monthly values ranging from 6.67 to 7.48 μmol CO2 (mmol H2O)(-1) and a seasonal average of 7.06 μmol CO2 (μmol H2O)(-1). Low Ω and its close positive relationship with gc indicate that evapotranspiration was sensitive to surface conductance. Mid summer drought reduced surface conductance and decoupling coefficient, suggesting a more biotic control of evapotranspiration and a physiological acclimation to dry air. Surface conductance remained low and constant under dry condition, supporting that a constant value of surface constant can be used for modelling transpiration under drought condition.</description><subject>Abiotic factors</subject><subject>Acclimation</subject><subject>Acclimatization</subject><subject>Annual variations</subject><subject>Biological activity</subject><subject>Biological effects</subject><subject>Biology</subject><subject>Carbon dioxide</subject><subject>Carbon Dioxide - metabolism</subject><subject>Carbon dioxide flux</subject><subject>Climate change</subject><subject>Conductance</subject><subject>Coniferous forests</subject><subject>Covariance</subject><subject>Decoupling</subject><subject>Diurnal</subject><subject>Drought</subject><subject>Droughts</subject><subject>Dry air</subject><subject>Dry season</subject><subject>Earth Sciences</subject><subject>Ecosystems</subject><subject>Eddy covariance</subject><subject>Environmental control</subject><subject>Environmental factors</subject><subject>Evapotranspiration</subject><subject>Fluxes</subject><subject>Forestry</subject><subject>Growing season</subject><subject>Pine</subject><subject>Pinus sylvestris</subject><subject>Pinus sylvestris - metabolism</subject><subject>Pinus sylvestris - physiology</subject><subject>Plant Transpiration - physiology</subject><subject>Pressure</subject><subject>Radiation</subject><subject>Resistance</subject><subject>Seasonal variations</subject><subject>Transpiration</subject><subject>Turbulence models</subject><subject>Vapor pressure</subject><subject>Vortices</subject><subject>Water shortages</subject><subject>Water use</subject><subject>Water use efficiency</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptUstu1DAUjRCIlsIfILDEhs0M13ZsJxskNOJRqVI3sLZsx24zyvgGO6nav8dh0qpFrHzl87gPnap6S2FLuaKf9jinaIbtiNFvAWQLTD2rTmnL2UYy4M8f1SfVq5z3AII3Ur6sThhv2roGelpd7zBOCYdMMBB_Y0ackol57JOZeozExI7sLhkJw3zrMwkJDyQ7nDIZ--iJvSN5TsE4TxzGbnaTiaVeVMb2OPWOFHDClF9XL4IZsn-zvmfVr29ff-5-bC4uv5_vvlxsnGjZtKFgFQhhqWs6XkPbBB4oEw6U8IGLNgDrOk9dWVf50Jm2hQJ7KxrFpLKBn1Xvj77jgFmvR8qa1kxxVYuGFsb5kdGh2esx9QeT7jSaXv_9wHSlTSqTD147XyypBKl4qDkDI8HWltsabABOZfH6vHab7cF3zpdjmuGJ6VMk9tf6Cm80V4zRZjH4uBok_D37POlDn50fBhM9zsvcVEhoWsYL9cM_1P9vVx9ZLmHOyYeHYSjoJTj3Kr0ER6_BKbJ3jxd5EN0nhf8BZFzB0Q</recordid><startdate>20130724</startdate><enddate>20130724</enddate><creator>Zha, Tianshan</creator><creator>Li, Chunyi</creator><creator>Kellomäki, Seppo</creator><creator>Peltola, Heli</creator><creator>Wang, Kai-Yun</creator><creator>Zhang, Yuqing</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20130724</creationdate><title>Controls of evapotranspiration and CO2 fluxes from scots pine by surface conductance and abiotic factors</title><author>Zha, Tianshan ; Li, Chunyi ; Kellomäki, Seppo ; Peltola, Heli ; Wang, Kai-Yun ; Zhang, Yuqing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c592t-10b7055b1c8d34098f3f125c075ef359f02dde1c6907efda990125eb587267bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Abiotic factors</topic><topic>Acclimation</topic><topic>Acclimatization</topic><topic>Annual variations</topic><topic>Biological activity</topic><topic>Biological effects</topic><topic>Biology</topic><topic>Carbon dioxide</topic><topic>Carbon Dioxide - metabolism</topic><topic>Carbon dioxide flux</topic><topic>Climate change</topic><topic>Conductance</topic><topic>Coniferous forests</topic><topic>Covariance</topic><topic>Decoupling</topic><topic>Diurnal</topic><topic>Drought</topic><topic>Droughts</topic><topic>Dry air</topic><topic>Dry season</topic><topic>Earth Sciences</topic><topic>Ecosystems</topic><topic>Eddy covariance</topic><topic>Environmental control</topic><topic>Environmental factors</topic><topic>Evapotranspiration</topic><topic>Fluxes</topic><topic>Forestry</topic><topic>Growing season</topic><topic>Pine</topic><topic>Pinus sylvestris</topic><topic>Pinus sylvestris - metabolism</topic><topic>Pinus sylvestris - physiology</topic><topic>Plant Transpiration - physiology</topic><topic>Pressure</topic><topic>Radiation</topic><topic>Resistance</topic><topic>Seasonal variations</topic><topic>Transpiration</topic><topic>Turbulence models</topic><topic>Vapor pressure</topic><topic>Vortices</topic><topic>Water shortages</topic><topic>Water use</topic><topic>Water use efficiency</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zha, Tianshan</creatorcontrib><creatorcontrib>Li, Chunyi</creatorcontrib><creatorcontrib>Kellomäki, Seppo</creatorcontrib><creatorcontrib>Peltola, Heli</creatorcontrib><creatorcontrib>Wang, Kai-Yun</creatorcontrib><creatorcontrib>Zhang, Yuqing</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</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>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zha, Tianshan</au><au>Li, Chunyi</au><au>Kellomäki, Seppo</au><au>Peltola, Heli</au><au>Wang, Kai-Yun</au><au>Zhang, Yuqing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Controls of evapotranspiration and CO2 fluxes from scots pine by surface conductance and abiotic factors</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-07-24</date><risdate>2013</risdate><volume>8</volume><issue>7</issue><spage>e69027</spage><epage>e69027</epage><pages>e69027-e69027</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Evapotranspiration (E) and CO2 flux (Fc ) in the growing season of an unusual dry year were measured continuously over a Scots pine forest in eastern Finland, by eddy covariance techniques. The aims were to gain an understanding of their biological and environmental control processes. As a result, there were obvious diurnal and seasonal changes in E, Fc , surface conductance (gc ), and decoupling coefficient (Ω), showing similar trends to those in radiation (PAR) and vapour pressure deficit (δ). The maximum mean daily values (24-h average) for E, Fc , gc , and Ω were 1.78 mmol m(-2) s(-1), -11.18 µmol m(-2) s(-1), 6.27 mm s(-1), and 0.31, respectively, with seasonal averages of 0.71 mmol m(-2) s(-1), -4.61 µmol m(-2) s(-1), 3.3 mm s(-1), and 0.16. E and Fc were controlled by combined biological and environmental variables. There was curvilinear dependence of E on gc and Fc on gc . Among the environmental variables, PAR was the most important factor having a positive linear relationship to E and curvilinear relationship to Fc , while vapour pressure deficit was the most important environmental factor affecting gc . Water use efficiency was slightly higher in the dry season, with mean monthly values ranging from 6.67 to 7.48 μmol CO2 (mmol H2O)(-1) and a seasonal average of 7.06 μmol CO2 (μmol H2O)(-1). Low Ω and its close positive relationship with gc indicate that evapotranspiration was sensitive to surface conductance. Mid summer drought reduced surface conductance and decoupling coefficient, suggesting a more biotic control of evapotranspiration and a physiological acclimation to dry air. Surface conductance remained low and constant under dry condition, supporting that a constant value of surface constant can be used for modelling transpiration under drought condition.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23894401</pmid><doi>10.1371/journal.pone.0069027</doi><oa>free_for_read</oa></addata></record> |
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subjects | Abiotic factors Acclimation Acclimatization Annual variations Biological activity Biological effects Biology Carbon dioxide Carbon Dioxide - metabolism Carbon dioxide flux Climate change Conductance Coniferous forests Covariance Decoupling Diurnal Drought Droughts Dry air Dry season Earth Sciences Ecosystems Eddy covariance Environmental control Environmental factors Evapotranspiration Fluxes Forestry Growing season Pine Pinus sylvestris Pinus sylvestris - metabolism Pinus sylvestris - physiology Plant Transpiration - physiology Pressure Radiation Resistance Seasonal variations Transpiration Turbulence models Vapor pressure Vortices Water shortages Water use Water use efficiency |
title | Controls of evapotranspiration and CO2 fluxes from scots pine by surface conductance and abiotic factors |
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