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dc.contributor.author
Zhang, Chao
dc.contributor.author
Filella, Iolanda
dc.contributor.author
Garbulsky, Martín Fabio
dc.contributor.author
Peñuelas, Josep
dc.date.available
2018-07-06T22:13:21Z
dc.date.issued
2016-08
dc.identifier.citation
Zhang, Chao; Filella, Iolanda; Garbulsky, Martín Fabio; Peñuelas, Josep; Affecting factors and recent improvements of the photochemical reflectance index (pri) for remotely sensing foliar, canopy and ecosystemic radiation-use efficiencies; MDPI AG; Remote Sensing; 8; 9; 8-2016; 677-710
dc.identifier.issn
2072-4292
dc.identifier.uri
http://hdl.handle.net/11336/51568
dc.description.abstract
Accurately assessing terrestrial gross primary productivity (GPP) is crucial for characterizing the climate-carbon cycle. Remotely sensing the photochemical reflectance index (PRI) across vegetation functional types and spatiotemporal scales has received increasing attention for monitoring photosynthetic performance and simulating GPP over the last two decades. The factors confounding PRI variation, especially on long timescales, however, require the improvement of PRI understanding to generalize its use for estimating carbon uptake. In this review, we summarize the most recent publications that have reported the factors affecting PRI variation across diurnal and seasonal scales at foliar, canopy and ecosystemic levels; synthesize the reported correlations between PRI and ecophysiological variables, particularly with radiation-use efficiency (RUE) and net carbon uptake; and analyze the improvements in PRI implementation. Long-term variation of PRI could be attributed to changes in the size of constitutive pigment pools instead of xanthophyll de-epoxidation, which controls the facultative short-term changes in PRI. Structural changes at canopy and ecosystemic levels can also affect PRI variation. Our review of the scientific literature on PRI suggests that PRI is a good proxy of photosynthetic efficiency at different spatial and temporal scales. Correcting PRI by decreasing the influence of physical or physiological factors on PRI greatly strengthens the relationships between PRI and RUE and GPP. Combining PRI with solar-induced fluorescence (SIF) and optical indices for green biomass offers additional prospects.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
MDPI AG
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
Affecting Factors
dc.subject
Gross Primary Productivity (Gpp)
dc.subject
Photochemical Reflectance Index (Pri)
dc.subject
Radiation-Use Efficiency (Rue)
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Spatiotemporal Scales
dc.subject.classification
Otras Ciencias Biológicas
dc.subject.classification
Ciencias Biológicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Affecting factors and recent improvements of the photochemical reflectance index (pri) for remotely sensing foliar, canopy and ecosystemic radiation-use efficiencies
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-06-22T14:33:08Z
dc.journal.volume
8
dc.journal.number
9
dc.journal.pagination
677-710
dc.journal.pais
Suiza
dc.journal.ciudad
Basilea
dc.description.fil
Fil: Zhang, Chao. Consejo Superior de Investigaciones Científicas; España. Universitat Autònoma de Barcelona; España. Centro de Investigación Ecológica y Aplicaciones Forestales; España
dc.description.fil
Fil: Filella, Iolanda. Consejo Superior de Investigaciones Científicas; España. Universitat Autònoma de Barcelona; España. Centro de Investigación Ecológica y Aplicaciones Forestales; España
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. Universidad de Buenos Aires. Facultad de Agronomía. ; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Forrajicultura; Argentina
dc.description.fil
Fil: Peñuelas, Josep. Consejo Superior de Investigaciones Científicas; España. Universitat Autònoma de Barcelona; España. Centro de Investigación Ecológica y Aplicaciones Forestales; España
dc.journal.title
Remote Sensing
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/2072-4292/8/9/677
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/rs8090677
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