Seasonal variation of photosynthetic model parameters and leaf area index from global Fluxnet eddy covariance data
Identifieur interne : 000447 ( Main/Exploration ); précédent : 000446; suivant : 000448Seasonal variation of photosynthetic model parameters and leaf area index from global Fluxnet eddy covariance data
Auteurs : M. Groenendijk [Pays-Bas, Royaume-Uni] ; A. J. Dolman [Pays-Bas] ; C. Ammann [Suisse] ; A. Arneth [Suède, Allemagne] ; A. Cescatti [Italie] ; D. Dragoni [États-Unis] ; J. H. C. Gash [Pays-Bas] ; D. Gianelle [Italie] ; B. Gioli [Italie] ; G. Kiely [Irlande (pays)] ; A. Knohl [Allemagne] ; B. E. Law [États-Unis] ; M. Lund [Suède, Danemark] ; B. Marcolla [Italie] ; M. K. Van Der Molen [Pays-Bas] ; L. Montagnani [Italie] ; E. Moors [Pays-Bas] ; A. D. Richardson [États-Unis] ; O. Roupsard [France, Costa Rica] ; H. Verbeeck [Belgique] ; G. Wohlfahrt [Autriche]Source :
- Journal of Geophysical Research: Biogeosciences [ 0148-0227 ] ; 2011-12.
Abstract
Global vegetation models require the photosynthetic parameters, maximum carboxylation capacity (Vcm), and quantum yield (α) to parameterize their plant functional types (PFTs). The purpose of this work is to determine how much the scaling of the parameters from leaf to ecosystem level through a seasonally varying leaf area index (LAI) explains the parameter variation within and between PFTs. Using Fluxnet data, we simulate a seasonally variable LAIF for a large range of sites, comparable to the LAIM derived from MODIS. There are discrepancies when LAIF reach zero levels and LAIM still provides a small positive value. We find that temperature is the most common constraint for LAIF in 55% of the simulations, while global radiation and vapor pressure deficit are the key constraints for 18% and 27% of the simulations, respectively, while large differences in this forcing still exist when looking at specific PFTs. Despite these differences, the annual photosynthesis simulations are comparable when using LAIF or LAIM (r2 = 0.89). We investigated further the seasonal variation of ecosystem‐scale parameters derived with LAIF. Vcm has the largest seasonal variation. This holds for all vegetation types and climates. The parameter α is less variable. By including ecosystem‐scale parameter seasonality we can explain a considerable part of the ecosystem‐scale parameter variation between PFTs. The remaining unexplained leaf‐scale PFT variation still needs further work, including elucidating the precise role of leaf and soil level nitrogen.
Url:
DOI: 10.1029/2011JG001742
Affiliations:
- Allemagne, Autriche, Belgique, Costa Rica, Danemark, France, Irlande (pays), Italie, Pays-Bas, Royaume-Uni, Suisse, Suède, États-Unis
- Bade-Wurtemberg, Basse-Saxe, Canton de Zurich, District de Karlsruhe, Hollande-Septentrionale, Languedoc-Roussillon, Massachusetts, Occitanie (région administrative), Province de Flandre-Orientale, Région flamande
- Amsterdam, Cambridge (Massachusetts), Gand, Göttingen, Karlsruhe, Montpellier, Zurich
- Université Harvard, Université de Gand
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Richardson</name><affiliation wicri:level="4"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Organismic and Evolutionary Biology, Harvard University, Massachusetts, Cambridge</wicri:regionArea><orgName type="university">Université Harvard</orgName><placeName><settlement type="city">Cambridge (Massachusetts)</settlement><region type="state">Massachusetts</region></placeName></affiliation></author><author><name sortKey="Roupsard, O" sort="Roupsard, O" uniqKey="Roupsard O" first="O." last="Roupsard">O. Roupsard</name><affiliation wicri:level="3"><country xml:lang="fr">France</country><wicri:regionArea>UMR Eco and Sols, French Agricultural Research Centre for International Development, Montpellier</wicri:regionArea><placeName><region type="region">Occitanie (région administrative)</region><region type="old region">Languedoc-Roussillon</region><settlement type="city">Montpellier</settlement></placeName></affiliation><affiliation wicri:level="1"><country xml:lang="fr">Costa Rica</country><wicri:regionArea>Tropical Agricultural Research and Higher Education Centre, Turrialba</wicri:regionArea><wicri:noRegion>Turrialba</wicri:noRegion></affiliation></author><author><name sortKey="Verbeeck, H" sort="Verbeeck, H" uniqKey="Verbeeck H" first="H." last="Verbeeck">H. Verbeeck</name><affiliation wicri:level="4"><country xml:lang="fr">Belgique</country><wicri:regionArea>Laboratory of Plant Ecology, Ghent University, Ghent</wicri:regionArea><orgName type="university">Université de Gand</orgName><placeName><settlement type="city">Gand</settlement><region>Région flamande</region><region type="district" nuts="2">Province de Flandre-Orientale</region></placeName></affiliation></author><author><name sortKey="Wohlfahrt, G" sort="Wohlfahrt, G" uniqKey="Wohlfahrt G" first="G." last="Wohlfahrt">G. Wohlfahrt</name><affiliation wicri:level="1"><country xml:lang="fr">Autriche</country><wicri:regionArea>Institut für Ökologie, Universität Innsbruck, Innsbruck</wicri:regionArea><wicri:noRegion>Innsbruck</wicri:noRegion></affiliation></author></analytic><monogr></monogr><series><title level="j">Journal of Geophysical Research: Biogeosciences</title><title level="j" type="abbrev">J. Geophys. Res.</title><idno type="ISSN">0148-0227</idno><idno type="eISSN">2156-2202</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><date type="published" when="2011-12">2011-12</date><biblScope unit="volume">116</biblScope><biblScope unit="issue">G4</biblScope><biblScope unit="page" from="/">n/a</biblScope><biblScope unit="page" to="/">n/a</biblScope></imprint><idno type="ISSN">0148-0227</idno></series><idno type="istex">B29926133955455FB8EC0DA632DBBBCD60FAAB6E</idno><idno type="DOI">10.1029/2011JG001742</idno><idno type="ArticleID">2011JG001742</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0148-0227</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">Global vegetation models require the photosynthetic parameters, maximum carboxylation capacity (Vcm), and quantum yield (α) to parameterize their plant functional types (PFTs). The purpose of this work is to determine how much the scaling of the parameters from leaf to ecosystem level through a seasonally varying leaf area index (LAI) explains the parameter variation within and between PFTs. Using Fluxnet data, we simulate a seasonally variable LAIF for a large range of sites, comparable to the LAIM derived from MODIS. There are discrepancies when LAIF reach zero levels and LAIM still provides a small positive value. We find that temperature is the most common constraint for LAIF in 55% of the simulations, while global radiation and vapor pressure deficit are the key constraints for 18% and 27% of the simulations, respectively, while large differences in this forcing still exist when looking at specific PFTs. Despite these differences, the annual photosynthesis simulations are comparable when using LAIF or LAIM (r2 = 0.89). We investigated further the seasonal variation of ecosystem‐scale parameters derived with LAIF. Vcm has the largest seasonal variation. This holds for all vegetation types and climates. The parameter α is less variable. By including ecosystem‐scale parameter seasonality we can explain a considerable part of the ecosystem‐scale parameter variation between PFTs. The remaining unexplained leaf‐scale PFT variation still needs further work, including elucidating the precise role of leaf and soil level nitrogen.</div></front></TEI><affiliations><list><country><li>Allemagne</li><li>Autriche</li><li>Belgique</li><li>Costa Rica</li><li>Danemark</li><li>France</li><li>Irlande (pays)</li><li>Italie</li><li>Pays-Bas</li><li>Royaume-Uni</li><li>Suisse</li><li>Suède</li><li>États-Unis</li></country><region><li>Bade-Wurtemberg</li><li>Basse-Saxe</li><li>Canton de Zurich</li><li>District de Karlsruhe</li><li>Hollande-Septentrionale</li><li>Languedoc-Roussillon</li><li>Massachusetts</li><li>Occitanie (région administrative)</li><li>Province de Flandre-Orientale</li><li>Région flamande</li></region><settlement><li>Amsterdam</li><li>Cambridge (Massachusetts)</li><li>Gand</li><li>Göttingen</li><li>Karlsruhe</li><li>Montpellier</li><li>Zurich</li></settlement><orgName><li>Université Harvard</li><li>Université de Gand</li></orgName></list><tree><country name="Pays-Bas"><region name="Hollande-Septentrionale"><name sortKey="Groenendijk, M" sort="Groenendijk, M" uniqKey="Groenendijk M" first="M." last="Groenendijk">M. 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