Seasonal patterns of foliar reflectance in relation to photosynthetic capacity and color index in two co-occurring tree species, Quercus rubra and Betula papyrifera
Identifieur interne : 000396 ( Main/Exploration ); précédent : 000395; suivant : 000397Seasonal patterns of foliar reflectance in relation to photosynthetic capacity and color index in two co-occurring tree species, Quercus rubra and Betula papyrifera
Auteurs : Sophie Y. Dillen [États-Unis, Belgique] ; Maarten Op De Beeck [Belgique] ; Koen Hufkens [États-Unis, Belgique] ; Michele Buonanduci [États-Unis] ; Nathan G. Phillips [États-Unis]Source :
- Agricultural and forest meteorology : (Print) [ 0168-1923 ] ; 2012.
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- Pascal (Inist)
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- topic : Azote.
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Abstract
Although foliar reflectance in the visible wavelengths is largely understood, species-specific relations between leaf spectral properties, pigment content and carbon exchange, and interdependence of these fundamental drivers that ultimately produce large-scale signals complicate understanding of and upscaling in remote sensing applications. We recorded seasonal patterns in foliar reflectance in relation to leaf photosynthetic, biochemical, structural and optical properties in two co-occurring tree species, red oak (Quercus rubra) and paper birch (Betula papyrifera). Over the course of a growing season, we monitored the timing of phenological events, i.e. bud break, near-complete leaf expansion and leaf fall, on mature trees. On a monthly basis, maximum rate of carboxylation (Vcmax) and maximum rate of electron transport (Jmax) were estimated from leaf-level gas exchange measurements in the upper crown for three individuals per species. Thereafter, visible and near infrared spectral properties, nitrogen content and specific leaf area were determined for sampled sunlit leaves. These data were compared with color indices extracted from digital images of sampled leaves throughout the growing season. Studied leaf traits significantly varied between the two species and throughout the growing season. Paper birch was characterized by relatively early bud break and rapid leaf expansion. Hence, interactions between species and day of year could be partly contributed to contrasting spring phenology of paper birch and red oak. Spectral vegetation indices, Chlorophyll Normalized Difference Index (Chl NDI), Photochemical Reflectance Index (PRI) and in particular Red Edge Position (λRE), gave a good indication of leaf physiology over the course of the growing season, more specifically of photosynthesis and leaf nitrogen on an area basis (Narea). On the other hand, color indices performed rather poorly at tracking key leaf functional traits in this study. Overall, dark green leaves characterized by low Intensity (I, derived from HSI color space) displayed highest photosynthetic activity and highest values of spectral vegetation indices.
Affiliations:
- Belgique, États-Unis
- Massachusetts, Province d'Anvers, Province de Flandre-Orientale, Région flamande
- Anvers, Gand
- Université d'Anvers, Université de Gand
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Dillen</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>Boston University, Department of Geography and Environment, 675 Commonwealth Avenue</s1><s2>Boston, MA 02215</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Massachusetts</region></placeName></affiliation><affiliation wicri:level="4"><inist:fA14 i1="02"><s1>University of Antwerp, Biology Department, Research Group Plant and Vegetation Ecology, Universiteitsplein 1</s1><s2>2610 Wilrijk</s2><s3>BEL</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>Belgique</country><wicri:noRegion>2610 Wilrijk</wicri:noRegion><orgName type="university">Université d'Anvers</orgName><placeName><settlement type="city">Anvers</settlement><region>Région flamande</region><region type="district" nuts="2">Province d'Anvers</region></placeName></affiliation></author><author><name sortKey="De Beeck, Maarten Op" sort="De Beeck, Maarten Op" uniqKey="De Beeck M" first="Maarten Op" last="De Beeck">Maarten Op De Beeck</name><affiliation wicri:level="4"><inist:fA14 i1="02"><s1>University of Antwerp, Biology Department, Research Group Plant and Vegetation Ecology, Universiteitsplein 1</s1><s2>2610 Wilrijk</s2><s3>BEL</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>Belgique</country><wicri:noRegion>2610 Wilrijk</wicri:noRegion><orgName type="university">Université d'Anvers</orgName><placeName><settlement type="city">Anvers</settlement><region>Région flamande</region><region type="district" nuts="2">Province d'Anvers</region></placeName></affiliation></author><author><name sortKey="Hufkens, Koen" sort="Hufkens, Koen" uniqKey="Hufkens K" first="Koen" last="Hufkens">Koen Hufkens</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>Boston University, Department of Geography and Environment, 675 Commonwealth Avenue</s1><s2>Boston, MA 02215</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Massachusetts</region></placeName></affiliation><affiliation wicri:level="4"><inist:fA14 i1="03"><s1>Ghent University, Faculty of Bioscience Engineering, Laboratory of Applied Physical Chemistry, Coupure 653</s1><s2>9000 Ghent</s2><s3>BEL</s3><sZ>3 aut.</sZ></inist:fA14><country>Belgique</country><placeName><region type="province" nuts="2">Province de Flandre-Orientale</region><settlement type="city">Gand</settlement></placeName><orgName type="university">Université de Gand</orgName></affiliation></author><author><name sortKey="Buonanduci, Michele" sort="Buonanduci, Michele" uniqKey="Buonanduci M" first="Michele" last="Buonanduci">Michele Buonanduci</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>Boston University, Department of Geography and Environment, 675 Commonwealth Avenue</s1><s2>Boston, MA 02215</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Massachusetts</region></placeName></affiliation></author><author><name sortKey="Phillips, Nathan G" sort="Phillips, Nathan G" uniqKey="Phillips N" first="Nathan G." last="Phillips">Nathan G. Phillips</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>Boston University, Department of Geography and Environment, 675 Commonwealth Avenue</s1><s2>Boston, MA 02215</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Massachusetts</region></placeName></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="2012">2012</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>Betula papyrifera</term><term>Capacity</term><term>Carboxylation</term><term>Color index</term><term>Digital image</term><term>Electron transfer</term><term>Hyperspectral imagery</term><term>Nitrogen</term><term>Phenology</term><term>Photosynthesis</term><term>Plant leaf</term><term>Quercus rubra</term><term>Reflectance</term><term>Seasonal variation</term><term>Spectral index</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Variation saisonnière</term><term>Feuille végétal</term><term>Facteur réflexion</term><term>Photosynthèse</term><term>Capacité</term><term>Indice couleur</term><term>Image numérique</term><term>Imagerie hyperspectrale</term><term>Carboxylation</term><term>Quercus rubra</term><term>Betula papyrifera</term><term>Azote</term><term>Transfert électron</term><term>Phénologie</term><term>Indice spectral</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Azote</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Although foliar reflectance in the visible wavelengths is largely understood, species-specific relations between leaf spectral properties, pigment content and carbon exchange, and interdependence of these fundamental drivers that ultimately produce large-scale signals complicate understanding of and upscaling in remote sensing applications. We recorded seasonal patterns in foliar reflectance in relation to leaf photosynthetic, biochemical, structural and optical properties in two co-occurring tree species, red oak (Quercus rubra) and paper birch (Betula papyrifera). Over the course of a growing season, we monitored the timing of phenological events, i.e. bud break, near-complete leaf expansion and leaf fall, on mature trees. On a monthly basis, maximum rate of carboxylation (V<sub>cmax</sub>) and maximum rate of electron transport (J<sub>max</sub>) were estimated from leaf-level gas exchange measurements in the upper crown for three individuals per species. Thereafter, visible and near infrared spectral properties, nitrogen content and specific leaf area were determined for sampled sunlit leaves. These data were compared with color indices extracted from digital images of sampled leaves throughout the growing season. Studied leaf traits significantly varied between the two species and throughout the growing season. Paper birch was characterized by relatively early bud break and rapid leaf expansion. Hence, interactions between species and day of year could be partly contributed to contrasting spring phenology of paper birch and red oak. Spectral vegetation indices, Chlorophyll Normalized Difference Index (Chl NDI), Photochemical Reflectance Index (PRI) and in particular Red Edge Position (λRE), gave a good indication of leaf physiology over the course of the growing season, more specifically of photosynthesis and leaf nitrogen on an area basis (N<sub>area</sub>). On the other hand, color indices performed rather poorly at tracking key leaf functional traits in this study. Overall, dark green leaves characterized by low Intensity (I, derived from HSI color space) displayed highest photosynthetic activity and highest values of spectral vegetation indices.</div></front></TEI><affiliations><list><country><li>Belgique</li><li>États-Unis</li></country><region><li>Massachusetts</li><li>Province d'Anvers</li><li>Province de Flandre-Orientale</li><li>Région flamande</li></region><settlement><li>Anvers</li><li>Gand</li></settlement><orgName><li>Université d'Anvers</li><li>Université de Gand</li></orgName></list><tree><country name="États-Unis"><region name="Massachusetts"><name sortKey="Dillen, Sophie Y" sort="Dillen, Sophie Y" uniqKey="Dillen S" first="Sophie Y." last="Dillen">Sophie Y. Dillen</name></region><name sortKey="Buonanduci, Michele" sort="Buonanduci, Michele" uniqKey="Buonanduci M" first="Michele" last="Buonanduci">Michele Buonanduci</name><name sortKey="Hufkens, Koen" sort="Hufkens, Koen" uniqKey="Hufkens K" first="Koen" last="Hufkens">Koen Hufkens</name><name sortKey="Phillips, Nathan G" sort="Phillips, Nathan G" uniqKey="Phillips N" first="Nathan G." last="Phillips">Nathan G. Phillips</name></country><country name="Belgique"><region name="Région flamande"><name sortKey="Dillen, Sophie Y" sort="Dillen, Sophie Y" uniqKey="Dillen S" first="Sophie Y." last="Dillen">Sophie Y. Dillen</name></region><name sortKey="De Beeck, Maarten Op" sort="De Beeck, Maarten Op" uniqKey="De Beeck M" first="Maarten Op" last="De Beeck">Maarten Op De Beeck</name><name sortKey="Hufkens, Koen" sort="Hufkens, Koen" uniqKey="Hufkens K" first="Koen" last="Hufkens">Koen Hufkens</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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