A MODIS photochemical reflectance index (PRI) as an estimator of isoprene emissions in a temperate deciduous forest
Filella, Iolanda (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Zhang, Chao (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Seco, Roger (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Potosnak, Mark (DePaul University. Department of Environmental Science and Studies)
Guenther, Alex (University of California. Department of Earth System Science)
Karl, Thomas (University of Innsbruck. Institute of Atmospheric and Cryospheric Sciences)
Gamon, John A. (University of Nebraska-Lincoln. School of Natural Resources)
Pallardy, Stephen (University of Missouri. Department of Forestry)
Gu, Lianhong (Oak Ridge National Laboratory. Environmental Sciences Division)
Kim, Saewung (University of California. Department of Earth System Science)
Balzarolo, Manuela (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Fernández-Martínez, Marcos (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)

Data:	2018
Resum:	The quantification of isoprene and monoterpene emissions at the ecosystem level with available models and field measurements is not entirely satisfactory. Remote-sensing techniques can extend the spatial and temporal assessment of isoprenoid fluxes. Detecting the exchange of biogenic volatile organic compounds (BVOCs) using these techniques is, however, a very challenging goal. Recent evidence suggests that a simple remotely sensed index, the photochemical reflectance index (PRI), which is indicative of light-use efficiency, relative pigment levels and excess reducing power, is a good indirect estimator of foliar isoprenoid emissions. We tested the ability of PRI to assess isoprenoid fluxes in a temperate deciduous forest in central USA throughout the entire growing season and under moderate and extreme drought conditions. We compared PRI time series calculated with MODIS bands to isoprene emissions measured with eddy covariance. MODIS PRI was correlated with isoprene emissions for most of the season, until emissions peaked. MODIS PRI was also able to detect the timing of the annual peak of emissions, even when it was advanced in response to drought conditions. PRI is thus a promising index to estimate isoprene emissions when it is complemented by information on potential emission. It may also be used to further improve models of isoprene emission under drought and other stress conditions. Direct estimation of isoprene emission by PRI is, however, limited, because PRI estimates LUE, and the relationship between LUE and isoprene emissions can be modified by severe stress conditions.
Ajuts:	European Commission 610028 European Commission 76108 Ministerio de Economía y Competitividad CGL2016-79835-P Agència de Gestió d'Ajuts Universitaris i de Recerca 2014/SGR-274
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Drought ; GPP ; Isoprene ; LUE ; MEGAN ; MODIS ; PRI ; Photorespiration ; Reducing power ; Substrate availability
Publicat a:	Remote sensing (Basel), Vol. 10, No. 4 (April 2018) , art. 557, ISSN 2072-4292

DOI: 10.3390/rs10040557

16 p, 17.4 MB

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