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dc.contributor.authorGarbulsky, M. F.-
dc.contributor.authorPeñuelas, Josep-
dc.contributor.authorPapale, D.-
dc.contributor.authorFilella, Iolanda-
dc.date.accessioned2012-10-24T09:58:54Z-
dc.date.available2012-10-24T09:58:54Z-
dc.date.issued2008-12-
dc.identifier.citationGlobal Change Biology 14 (12) : 2860-2867 (2008)es_ES
dc.identifier.issn1354-1013-
dc.identifier.urihttp://hdl.handle.net/10261/58766-
dc.description8 páginas, 4 figuras.es_ES
dc.description.abstractThe estimation of the carbon balance in ecosystems, regions, and the biosphere is currently one of the main concerns in the study of the ecology of global change. Current remote sensing methodologies for estimating gross primary productivity are not satisfactory because they rely too heavily on (i) the availability of climatic data, (ii) the definition of land-use cover, and (iii) the assumptions of the effects of these two factors on the radiation-use efficiency of vegetation (RUE). A new methodology is urgently needed that will actually assess RUE and overcome the problems associated with the capture of fluctuations in carbon absorption in space and over time. Remote sensing techniques such as the widely used reflectance vegetation indices (e.g. NDVI, EVI) allow green plant biomass and therefore plant photosynthetic capacity to be assessed. However, there are vegetation types, such as the Mediterranean forests, with a very low seasonality of these vegetation indices and a high seasonality of carbon uptake. In these cases it is important to detect how much of this capacity is actually realized, which is a much more challenging goal. The photochemical reflectance index (PRI) derived from freely available satellite information (MODIS sensor) presented for a 5-year analysis for a Mediterranean forest a positive relationship with the RUE. Thus, we show that it is possible to estimate RUE and GPP in real time and therefore actual carbon uptake of Mediterranean forests at ecosystem level using the PRI. This conceptual and technological advancement would avoid the need to rely on the sometimes unreliable maximum RUE.es_ES
dc.description.sponsorshipM. F. G. was supported by the University of Buenos Aires, the Commissioner for Universities and Research of the Ministry of Innovation, Universities and Enterprise of the Catalan Government and of the European Social Fund and the Alβan Programme. This work was funded under grants from the Catalan Government (SGR2005-00312), and the Spanish Ministry of Education and Science (CGL2006-04025/BOS).es_ES
dc.language.isoenges_ES
dc.publisherBlackwell Publishinges_ES
dc.rightsopenAccesses_ES
dc.subjectRemote sensinges_ES
dc.subjectVegetationes_ES
dc.subjectCarbon cyclees_ES
dc.subjectCO2 uptakees_ES
dc.subjectEddy covariancees_ES
dc.subjectMediterranean forestses_ES
dc.subjectMODISes_ES
dc.subjectPrimary productivityes_ES
dc.subjectRadiation use efficiencyes_ES
dc.titleRemote estimation of carbon dioxide uptake by a Mediterranean forest.es_ES
dc.typeartículoes_ES
dc.identifier.doi10.1111/j.1365-2486.2008.01684.x-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1111/j.1365-2486.2008.01684.xes_ES
dc.identifier.e-issn1365-2486-
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