Assessing parameter variability in a photosynthesis model within and between plant functional types using global Fluxnet eddy covariance data
Identifieur interne : 006D21 ( Main/Exploration ); précédent : 006D20; suivant : 006D22Assessing parameter variability in a photosynthesis model within and between plant functional types using global Fluxnet eddy covariance data
Auteurs : M. Groenendijk [Pays-Bas] ; A. J. Dolman [Pays-Bas] ; M. K. Van Der Molen [Pays-Bas] ; R. Leuning [Australie] ; A. Arneth [Suède] ; N. Delpierre [France] ; J. H. C. Gash [Pays-Bas, Royaume-Uni] ; A. Lindroth [Suède] ; A. D. Richardson [États-Unis] ; H. Verbeeck [Belgique] ; G. Wohlfahrt [Autriche]Source :
- Agricultural and forest meteorology : (Print) [ 0168-1923 ] ; 2011.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
The vegetation component in climate models has advanced since the late 1960s from a uniform prescription of surface parameters to plant functional types (PFTs). PFTs are used in global land-surface models to provide parameter values for every model grid cell. With a simple photosynthesis model we derive parameters for all site years within the Fluxnet eddy covariance data set. We compare the model parameters within and between PFTs and statistically group the sites. Fluxnet data is used to validate the photosynthesis model parameter variation within a PFT classification. Our major result is that model parameters appear more variable than assumed in PFTs. Simulated fluxes are of higher quality when model parameters of individual sites or site years are used. A simplification with less variation in model parameters results in poorer simulations. This indicates that a PFT classification introduces uncertainty in the variation of the photosynthesis and transpiration fluxes. Statistically derived groups of sites with comparable model parameters do not share common vegetation types or climates. A simple PFT classification does not reflect the real photosynthesis and transpiration variation. Although site year parameters give the best predictions, the parameters are generally too specific to be used in a global study. The site year parameters can be further used to explore the possibilities of alternative classification schemes.
Affiliations:
- Australie, Autriche, Belgique, France, Pays-Bas, Royaume-Uni, Suède, États-Unis
- Massachusetts, Province de Flandre-Orientale, Île-de-France
- Cambridge (Massachusetts), Gand, Orsay
- Université Harvard, Université Paris-Sud, Université de Gand
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Groenendijk</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>VU University Amsterdam, Hydrology and Geo-Environmental Sciences</s1><s3>NLD</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ><sZ>7 aut.</sZ></inist:fA14><country>Pays-Bas</country><wicri:noRegion>VU University Amsterdam, Hydrology and Geo-Environmental Sciences</wicri:noRegion></affiliation></author><author><name sortKey="Dolman, A J" sort="Dolman, A J" uniqKey="Dolman A" first="A. J." last="Dolman">A. J. Dolman</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>VU University Amsterdam, Hydrology and Geo-Environmental Sciences</s1><s3>NLD</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ><sZ>7 aut.</sZ></inist:fA14><country>Pays-Bas</country><wicri:noRegion>VU University Amsterdam, Hydrology and Geo-Environmental Sciences</wicri:noRegion></affiliation></author><author><name sortKey="Van Der Molen, M K" sort="Van Der Molen, M K" uniqKey="Van Der Molen M" first="M. K." last="Van Der Molen">M. K. Van Der Molen</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>VU University Amsterdam, Hydrology and Geo-Environmental Sciences</s1><s3>NLD</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ><sZ>7 aut.</sZ></inist:fA14><country>Pays-Bas</country><wicri:noRegion>VU University Amsterdam, Hydrology and Geo-Environmental Sciences</wicri:noRegion></affiliation></author><author><name sortKey="Leuning, R" sort="Leuning, R" uniqKey="Leuning R" first="R." last="Leuning">R. Leuning</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>CSIRO Marine and Atmospheric Research</s1><s2>Canberra</s2><s3>AUS</s3><sZ>4 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>CSIRO Marine and Atmospheric Research</wicri:noRegion></affiliation></author><author><name sortKey="Arneth, A" sort="Arneth, A" uniqKey="Arneth A" first="A." last="Arneth">A. Arneth</name><affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Department of Earth and Ecosystem Sciences, Lund University</s1><s3>SWE</s3><sZ>5 aut.</sZ><sZ>8 aut.</sZ></inist:fA14><country>Suède</country><wicri:noRegion>Department of Earth and Ecosystem Sciences, Lund University</wicri:noRegion></affiliation></author><author><name sortKey="Delpierre, N" sort="Delpierre, N" uniqKey="Delpierre N" first="N." last="Delpierre">N. Delpierre</name><affiliation wicri:level="4"><inist:fA14 i1="04"><s1>Universite Paris-Sud, Laboratoire Ecologie Systematique et Evolution, UMR8079</s1><s2>Orsay 91405</s2><s3>FRA</s3><sZ>6 aut.</sZ></inist:fA14><country>France</country><wicri:noRegion>91405</wicri:noRegion><wicri:noRegion>UMR8079</wicri:noRegion><wicri:noRegion>Orsay 91405</wicri:noRegion><orgName type="university">Université Paris-Sud</orgName><placeName><settlement type="city">Orsay</settlement><region type="region" nuts="2">Île-de-France</region></placeName></affiliation></author><author><name sortKey="Gash, J H C" sort="Gash, J H C" uniqKey="Gash J" first="J. H. C." last="Gash">J. H. C. Gash</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>VU University Amsterdam, Hydrology and Geo-Environmental Sciences</s1><s3>NLD</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ><sZ>7 aut.</sZ></inist:fA14><country>Pays-Bas</country><wicri:noRegion>VU University Amsterdam, Hydrology and Geo-Environmental Sciences</wicri:noRegion></affiliation><affiliation wicri:level="1"><inist:fA14 i1="05"><s1>Centre for Ecology and Hydrology</s1><s2>Wallingford</s2><s3>GBR</s3><sZ>7 aut.</sZ></inist:fA14><country>Royaume-Uni</country><wicri:noRegion>Centre for Ecology and Hydrology</wicri:noRegion></affiliation></author><author><name sortKey="Lindroth, A" sort="Lindroth, A" uniqKey="Lindroth A" first="A." last="Lindroth">A. Lindroth</name><affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Department of Earth and Ecosystem Sciences, Lund University</s1><s3>SWE</s3><sZ>5 aut.</sZ><sZ>8 aut.</sZ></inist:fA14><country>Suède</country><wicri:noRegion>Department of Earth and Ecosystem Sciences, Lund University</wicri:noRegion></affiliation></author><author><name sortKey="Richardson, A D" sort="Richardson, A D" uniqKey="Richardson A" first="A. D." last="Richardson">A. D. Richardson</name><affiliation wicri:level="4"><inist:fA14 i1="06"><s1>Harvard University, Department of Organismic and Evolutionary Biology, HUH, 22 Divinity Avenue</s1><s2>Cambridge, MA 02138</s2><s3>USA</s3><sZ>9 aut.</sZ></inist:fA14><country>États-Unis</country><wicri:noRegion>Cambridge, MA 02138</wicri:noRegion><orgName type="university">Université Harvard</orgName><placeName><settlement type="city">Cambridge (Massachusetts)</settlement><region type="state">Massachusetts</region></placeName></affiliation></author><author><name sortKey="Verbeeck, H" sort="Verbeeck, H" uniqKey="Verbeeck H" first="H." last="Verbeeck">H. Verbeeck</name><affiliation wicri:level="4"><inist:fA14 i1="07"><s1>Laboratory of Plant Ecology, Ghent University, Coupure Links 653</s1><s2>9000 Ghent</s2><s3>BEL</s3><sZ>10 aut.</sZ></inist:fA14><country>Belgique</country><placeName><region type="province" nuts="2">Province de Flandre-Orientale</region><settlement type="city">Gand</settlement><settlement type="city">Gand</settlement></placeName><orgName type="university">Université de Gand</orgName></affiliation></author><author><name sortKey="Wohlfahrt, G" sort="Wohlfahrt, G" uniqKey="Wohlfahrt G" first="G." last="Wohlfahrt">G. Wohlfahrt</name><affiliation wicri:level="1"><inist:fA14 i1="08"><s1>Institut für Ökologie, Universität Innsbruck</s1><s3>AUT</s3><sZ>11 aut.</sZ></inist:fA14><country>Autriche</country><wicri:noRegion>Institut für Ökologie, Universität Innsbruck</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">Agricultural and forest meteorology : (Print)</title><title level="j" type="abbreviated">Agric. for. meteorol. : (Print)</title><idno type="ISSN">0168-1923</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Agricultural and forest meteorology : (Print)</title><title level="j" type="abbreviated">Agric. for. meteorol. : (Print)</title><idno type="ISSN">0168-1923</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Applied mathematics</term><term>Biometeorology</term><term>Data</term><term>Eddy covariance method</term><term>Modeling</term><term>Models</term><term>Parameter</term><term>Photosynthesis</term><term>Transpiration</term><term>Use</term><term>Variability</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Paramètre</term><term>Variabilité</term><term>Photosynthèse</term><term>Modélisation</term><term>Utilisation</term><term>Méthode covariance turbulence</term><term>Donnée</term><term>Transpiration</term><term>Biométéorologie</term><term>Modèle</term><term>Mathématiques appliquées</term><term><<>></term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The vegetation component in climate models has advanced since the late 1960s from a uniform prescription of surface parameters to plant functional types (PFTs). PFTs are used in global land-surface models to provide parameter values for every model grid cell. With a simple photosynthesis model we derive parameters for all site years within the Fluxnet eddy covariance data set. We compare the model parameters within and between PFTs and statistically group the sites. Fluxnet data is used to validate the photosynthesis model parameter variation within a PFT classification. Our major result is that model parameters appear more variable than assumed in PFTs. Simulated fluxes are of higher quality when model parameters of individual sites or site years are used. A simplification with less variation in model parameters results in poorer simulations. This indicates that a PFT classification introduces uncertainty in the variation of the photosynthesis and transpiration fluxes. Statistically derived groups of sites with comparable model parameters do not share common vegetation types or climates. A simple PFT classification does not reflect the real photosynthesis and transpiration variation. Although site year parameters give the best predictions, the parameters are generally too specific to be used in a global study. The site year parameters can be further used to explore the possibilities of alternative classification schemes.</div></front></TEI><affiliations><list><country><li>Australie</li><li>Autriche</li><li>Belgique</li><li>France</li><li>Pays-Bas</li><li>Royaume-Uni</li><li>Suède</li><li>États-Unis</li></country><region><li>Massachusetts</li><li>Province de Flandre-Orientale</li><li>Île-de-France</li></region><settlement><li>Cambridge (Massachusetts)</li><li>Gand</li><li>Orsay</li></settlement><orgName><li>Université Harvard</li><li>Université Paris-Sud</li><li>Université de Gand</li></orgName></list><tree><country name="Pays-Bas"><noRegion><name sortKey="Groenendijk, M" sort="Groenendijk, M" uniqKey="Groenendijk M" first="M." last="Groenendijk">M. Groenendijk</name></noRegion><name sortKey="Dolman, A J" sort="Dolman, A J" uniqKey="Dolman A" first="A. J." last="Dolman">A. J. Dolman</name><name sortKey="Gash, J H C" sort="Gash, J H C" uniqKey="Gash J" first="J. H. C." last="Gash">J. H. C. Gash</name><name sortKey="Van Der Molen, M K" sort="Van Der Molen, M K" uniqKey="Van Der Molen M" first="M. K." last="Van Der Molen">M. K. Van Der Molen</name></country><country name="Australie"><noRegion><name sortKey="Leuning, R" sort="Leuning, R" uniqKey="Leuning R" first="R." last="Leuning">R. Leuning</name></noRegion></country><country name="Suède"><noRegion><name sortKey="Arneth, A" sort="Arneth, A" uniqKey="Arneth A" first="A." last="Arneth">A. Arneth</name></noRegion><name sortKey="Lindroth, A" sort="Lindroth, A" uniqKey="Lindroth A" first="A." last="Lindroth">A. Lindroth</name></country><country name="France"><region name="Île-de-France"><name sortKey="Delpierre, N" sort="Delpierre, N" uniqKey="Delpierre N" first="N." last="Delpierre">N. Delpierre</name></region></country><country name="Royaume-Uni"><noRegion><name sortKey="Gash, J H C" sort="Gash, J H C" uniqKey="Gash J" first="J. H. C." last="Gash">J. H. C. Gash</name></noRegion></country><country name="États-Unis"><region name="Massachusetts"><name sortKey="Richardson, A D" sort="Richardson, A D" uniqKey="Richardson A" first="A. D." last="Richardson">A. D. Richardson</name></region></country><country name="Belgique"><region name="Province de Flandre-Orientale"><name sortKey="Verbeeck, H" sort="Verbeeck, H" uniqKey="Verbeeck H" first="H." last="Verbeeck">H. Verbeeck</name></region></country><country name="Autriche"><noRegion><name sortKey="Wohlfahrt, G" sort="Wohlfahrt, G" uniqKey="Wohlfahrt G" first="G." last="Wohlfahrt">G. 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