Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15082
Title: Upward and downward solar-induced chlorophyll fluorescence yield indices of four tree species as indicators of traffic pollution in Valencia
Authors: Van Wittenberghe, Shari
Alonso, Luis
Verrelst, Jochem
Hermans, Inge 
Delegido, Jesus
Veroustraete, Frank
Valcke, Roland 
Moreno, Jose
Samson, Roeland
Issue Date: 2013
Publisher: ELSEVIER SCI LTD
Source: ENVIRONMENTAL POLLUTION, 173, p. 29-37
Abstract: Passive steady-state chlorophyll fluorescence (Fs) provides a direct diagnosis of the functional status of vegetation photosynthesis. With the prospect of mapping Fs using remote sensing techniques, field measurements are mandatory to understand to which extent Fs allows detecting plant stress in different environments. Trees of four common species in Valencia were classified in either a low or a high local traffic exposure class based on their leaf magnetic value. Upward and downward hyperspectral fluorescence yield (FY) and indices based on the two Fs peaks (at 687 and 741 nm) were calculated. FY indices of P. canariensis and P. x acerifolia were significantly different between the two traffic exposure classes defined, but not for C australis nor M. alba. While chlorophyll content could not indicate the difference between low and high traffic exposure, the FY(687)/FY(741) peak ratio increased significantly (p < 0.05) for both leaf sides for the higher traffic exposure class.
Notes: [Van Wittenberghe, Shari; Veroustraete, Frank; Samson, Roeland] Univ Antwerp, Fac Sci, Dept Biosci Engn, B-2020 Antwerp, Belgium. [Alonso, Luis; Verrelst, Jochem; Delegido, Jesus; Moreno, Jose] Univ Valencia, Image Proc Lab, E-46980 Valencia, Spain. [Hermans, Inge; Valcke, Roland] Univ Hasselt, Fac Sci, Lab Mol & Phys Plant Physiol, B-3590 Diepenbeek, Belgium.
Keywords: Passive fluorescence; Red/far-red ratio; Stress monitoring; Urban environment; Particulate matter; Remote sensing;Environmental Sciences; passive fluorescence; Red/far-red ratio; stress monitoring; urban environment; particulate matter; remote sensing
Document URI: http://hdl.handle.net/1942/15082
ISSN: 0269-7491
e-ISSN: 1873-6424
DOI: 10.1016/j.envpol.2012.10.003
ISI #: 000313845500006
Category: A1
Type: Journal Contribution
Validations: ecoom 2014
Appears in Collections:Research publications

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