Remote sensing of sun‐induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP)
Identifieur interne : 000287 ( Istex/Checkpoint ); précédent : 000286; suivant : 000288Remote sensing of sun‐induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP)
Auteurs : Alexander Damm ; Jan Elbers ; André Erler ; Beniamino Gioli ; Karim Hamdi ; Ronald Hutjes ; Martina Kosvancova ; Michele Meroni ; Franco Miglietta ; André Moersch ; Jose Moreno ; Anke Schickling ; Ruth Sonnenschein ; Thomas Udelhoven [Luxembourg (pays)] ; Sebastian Van Der Linden ; Patrick Hostert ; Uwe RascherSource :
- Global Change Biology [ 1354-1013 ] ; 2010-01.
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- KwdEn :
Abstract
Terrestrial gross primary production (GPP) is an important parameter to explore and quantify carbon fixation by plant ecosystems at various scales. Remote sensing (RS) offers a unique possibility to investigate GPP in a spatially explicit fashion; however, budgeting of terrestrial carbon cycles based on this approach still remains uncertain. To improve calculations, spatio‐temporal variability of GPP must be investigated in more detail on local and regional scales. The overarching goal of this study is to enhance our knowledge on how environmentally induced changes of photosynthetic light‐use efficiency (LUE) are linked with optical RS parameters. Diurnal courses of sun‐induced fluorescence yield (FSyield) and the photochemical reflectance index of corn were derived from high‐resolution spectrometric measurements and their potential as proxies for LUE was investigated. GPP was modeled using Monteith's LUE‐concept and optical‐based GPP and LUE values were compared with synoptically acquired eddy covariance data. It is shown that the diurnal response of complex physiological regulation of photosynthesis can be tracked reliably with the sun‐induced fluorescence. Considering structural and physiological effects, this research shows for the first time that including sun‐induced fluorescence into modeling approaches improves their results in predicting diurnal courses of GPP. Our results support the hypothesis that air‐ or spaceborne quantification of sun‐induced fluorescence yield may become a powerful tool to better understand spatio‐temporal variations of fluorescence yield, photosynthetic efficiency and plant stress on a global scale.
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DOI: 10.1111/j.1365-2486.2009.01908.x
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Belvaux</wicri:noRegion></affiliation></author><author><name sortKey="Van Der Linden, Sebastian" sort="Van Der Linden, Sebastian" uniqKey="Van Der Linden S" first="Sebastian" last="Van Der Linden">Sebastian Van Der Linden</name><affiliation><wicri:noCountry code="subField"></wicri:noCountry></affiliation></author><author><name sortKey="Hostert, Patrick" sort="Hostert, Patrick" uniqKey="Hostert P" first="Patrick" last="Hostert">Patrick Hostert</name><affiliation><wicri:noCountry code="subField"></wicri:noCountry></affiliation></author><author><name sortKey="Rascher, Uwe" sort="Rascher, Uwe" uniqKey="Rascher U" first="Uwe" last="Rascher">Uwe Rascher</name><affiliation><wicri:noCountry code="subField"></wicri:noCountry></affiliation></author></analytic><monogr></monogr><series><title level="j">Global Change Biology</title><idno type="ISSN">1354-1013</idno><idno type="eISSN">1365-2486</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2010-01">2010-01</date><biblScope unit="volume">16</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="171">171</biblScope><biblScope unit="page" to="186">186</biblScope></imprint><idno type="ISSN">1354-1013</idno></series><idno type="istex">C663C6980147BF02FAD9B4619E026FFA20D8D0FB</idno><idno type="DOI">10.1111/j.1365-2486.2009.01908.x</idno><idno type="ArticleID">GCB1908</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1354-1013</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>GPP</term><term>LUE</term><term>PRI</term><term>diurnal carbon uptake</term><term>eddy covariance</term><term>fluorescence yield</term><term>remote sensing</term><term>spectroscopy</term><term>sun‐induced fluorescence</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Terrestrial gross primary production (GPP) is an important parameter to explore and quantify carbon fixation by plant ecosystems at various scales. Remote sensing (RS) offers a unique possibility to investigate GPP in a spatially explicit fashion; however, budgeting of terrestrial carbon cycles based on this approach still remains uncertain. To improve calculations, spatio‐temporal variability of GPP must be investigated in more detail on local and regional scales. The overarching goal of this study is to enhance our knowledge on how environmentally induced changes of photosynthetic light‐use efficiency (LUE) are linked with optical RS parameters. Diurnal courses of sun‐induced fluorescence yield (FSyield) and the photochemical reflectance index of corn were derived from high‐resolution spectrometric measurements and their potential as proxies for LUE was investigated. GPP was modeled using Monteith's LUE‐concept and optical‐based GPP and LUE values were compared with synoptically acquired eddy covariance data. It is shown that the diurnal response of complex physiological regulation of photosynthesis can be tracked reliably with the sun‐induced fluorescence. Considering structural and physiological effects, this research shows for the first time that including sun‐induced fluorescence into modeling approaches improves their results in predicting diurnal courses of GPP. Our results support the hypothesis that air‐ or spaceborne quantification of sun‐induced fluorescence yield may become a powerful tool to better understand spatio‐temporal variations of fluorescence yield, photosynthetic efficiency and plant stress on a global scale.</div></front></TEI><affiliations><list><country><li>Luxembourg (pays)</li></country></list><tree><noCountry><name sortKey="Damm, Alexander" sort="Damm, Alexander" uniqKey="Damm A" first="Alexander" last="Damm">Alexander Damm</name><name sortKey="Elbers, Jan" sort="Elbers, Jan" uniqKey="Elbers J" first="Jan" last="Elbers">Jan Elbers</name><name sortKey="Erler, Andre" sort="Erler, Andre" uniqKey="Erler A" first="André" last="Erler">André Erler</name><name sortKey="Gioli, Beniamino" sort="Gioli, Beniamino" uniqKey="Gioli B" first="Beniamino" last="Gioli">Beniamino Gioli</name><name sortKey="Hamdi, Karim" sort="Hamdi, Karim" uniqKey="Hamdi K" first="Karim" last="Hamdi">Karim Hamdi</name><name sortKey="Hostert, Patrick" sort="Hostert, Patrick" uniqKey="Hostert P" first="Patrick" last="Hostert">Patrick Hostert</name><name sortKey="Hutjes, Ronald" sort="Hutjes, Ronald" uniqKey="Hutjes R" first="Ronald" last="Hutjes">Ronald Hutjes</name><name sortKey="Kosvancova, Martina" sort="Kosvancova, Martina" uniqKey="Kosvancova M" first="Martina" last="Kosvancova">Martina Kosvancova</name><name sortKey="Meroni, Michele" sort="Meroni, Michele" uniqKey="Meroni M" first="Michele" last="Meroni">Michele Meroni</name><name sortKey="Miglietta, Franco" sort="Miglietta, Franco" uniqKey="Miglietta F" first="Franco" last="Miglietta">Franco Miglietta</name><name sortKey="Moersch, Andre" sort="Moersch, Andre" uniqKey="Moersch A" first="André" last="Moersch">André Moersch</name><name sortKey="Moreno, Jose" sort="Moreno, Jose" uniqKey="Moreno J" first="Jose" last="Moreno">Jose Moreno</name><name sortKey="Rascher, Uwe" sort="Rascher, Uwe" uniqKey="Rascher U" first="Uwe" last="Rascher">Uwe Rascher</name><name sortKey="Schickling, Anke" sort="Schickling, Anke" uniqKey="Schickling A" first="Anke" last="Schickling">Anke Schickling</name><name sortKey="Sonnenschein, Ruth" sort="Sonnenschein, Ruth" uniqKey="Sonnenschein R" first="Ruth" last="Sonnenschein">Ruth Sonnenschein</name><name sortKey="Van Der Linden, Sebastian" sort="Van Der Linden, Sebastian" uniqKey="Van Der Linden S" first="Sebastian" last="Van Der Linden">Sebastian Van Der Linden</name></noCountry><country name="Luxembourg (pays)"><noRegion><name sortKey="Udelhoven, Thomas" sort="Udelhoven, Thomas" uniqKey="Udelhoven T" first="Thomas" last="Udelhoven">Thomas Udelhoven</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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