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dc.contributor.author
Garbulsky, Martín Fabio  
dc.contributor.author
Peñuelas, Josep  
dc.contributor.author
Ogaya, Roma  
dc.contributor.author
Filella, Iolanda  
dc.date.available
2016-02-18T14:15:12Z  
dc.date.issued
2013-08  
dc.identifier.citation
Garbulsky, Martín Fabio; Peñuelas, Josep; Ogaya, Roma; Filella, Iolanda; Leaf and stand-level carbon uptake of a Mediterranean forest estimated using the satellite-derived reflectance indices EVI and PRI; Taylor & Francis; International Journal of Remote Sensing; 34; 4; 8-2013; 1282-1296  
dc.identifier.issn
0143-1161  
dc.identifier.uri
http://hdl.handle.net/11336/4266  
dc.description.abstract
Various aspects of global environmental change affect plant photosynthesis, the primary carbon input in ecosystems. Thus, accurate methods of measuring plant photosynthesis are important. Remotely sensed spectral indices can monitor in detail the green biomass of ecosystems, which provides a measure of potential photosynthetic capacity. In evergreen vegetation types, however, such as Mediterranean forests, the amount of green biomass changes little during the growing season and, therefore, changes in green biomass are not responsible for changes in photosynthetic rates in those forests. This study examined the net photosynthetic rates and the diametric increment of stems in a Mediterranean forest dominated by Quercus ilex using three spectral indices (NDVI, EVI and PRI) derived from MODIS sensors. Average annual EVI accounted for 83% of the variability of the diametric increment of Q. ilex stems over a 10-yr period. NDVI was marginally correlated with the diametric increment of stems. This study was the first to identify a significant correlation between net photosynthetic rates and radiation use efficiency at the leaf level using PRI derived from satellite data analyzed at the ecosystem level. These results suggest that each spectral index provided different and complementary information about ecosystem carbon uptake in a Mediterranean Q. ilex forest.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Taylor & Francis  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Remote Sensing  
dc.subject
Primary Productivity  
dc.subject.classification
Silvicultura  
dc.subject.classification
Agricultura, Silvicultura y Pesca  
dc.subject.classification
CIENCIAS AGRÍCOLAS  
dc.title
Leaf and stand-level carbon uptake of a Mediterranean forest estimated using the satellite-derived reflectance indices EVI and PRI  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2016-03-30 10:35:44.97925-03  
dc.journal.volume
34  
dc.journal.number
4  
dc.journal.pagination
1282-1296  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Garbulsky, Martín Fabio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas A la Agricultura; Argentina. Consejo Superior de Investigaciones Cientificas. Centre de Recerca Ecologica I Aplicacions Forestals; España. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Produccion Animal. Cátedra de Forrajicultura; Argentina  
dc.description.fil
Fil: Peñuelas, Josep. Consejo Superior de Investigaciones Cientificas. Centre de Recerca Ecologica I Aplicacions Forestals; España  
dc.description.fil
Fil: Ogaya, Roma. Consejo Superior de Investigaciones Cientificas. Centre de Recerca Ecologica I Aplicacions Forestals; España  
dc.description.fil
Fil: Filella, Iolanda. Consejo Superior de Investigaciones Cientificas. Centre de Recerca Ecologica I Aplicacions Forestals; España  
dc.journal.title
International Journal of Remote Sensing  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/full/10.1080/01431161.2012.718457  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/issn/0143-1161  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/DOI:10.1080/01431161.2012.718457