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@ARTICLE{Tagliabue:885473,
author = {Tagliabue, Giulia and Panigada, Cinzia and Celesti, Marco
and Cogliati, Sergio and Colombo, Roberto and Migliavacca,
Mirco and Rascher, Uwe and Rocchini, Duccio and
Schüttemeyer, Dirk and Rossini, Micol},
title = {{S}un–induced fluorescence heterogeneity as a measure of
functional diversity},
journal = {Remote sensing of environment},
volume = {247},
issn = {0034-4257},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2020-03856},
pages = {111934 -},
year = {2020},
abstract = {Plant functional diversity, defined as the range of plant
chemical, physiological and structural properties within
plants, is a key component of biodiversity which controls
the ecosystem functioning and stability. Monitoring its
variations across space and over time is critical in
ecological studies. So far, several reflectance-based
metrics have been tested to achieve this objective, yielding
different degrees of success. Our work aimed at exploring
the potential of a novel metric based on far-red sun-induced
chlorophyll fluorescence (F760) to map the functional
diversity of terrestrial ecosystems. This was achieved
exploiting high-resolution images collected over a mixed
forest ecosystem with the HyPlant sensor, deployed as an
airborne demonstrator of the forthcoming ESA-FLEX satellite.
A reference functional diversity map was obtained applying
the Rao's Q entropy metric on principal components
calculated on key plant functional trait maps retrieved from
the hyperspectral reflectance cube. Based on the spectral
variation hypothesis, which states that the biodiversity
signal is encoded in the spectral heterogeneity, two moving
window-based approaches were tested to estimate the
functional diversity from continuous spectral data: i) the
Rao's Q entropy metric calculated on the normalized
difference vegetation index (NDVI) and ii) the coefficient
of variation (CV) calculated on hyperspectral reflectance.
Finally, a third moving window approach was used to estimate
the functional diversity based on F760 heterogeneity
quantified through the calculation of the Rao's Q entropy
metric.Results showed a strong underestimation of the
functional diversity using the Rao's Q index based on NDVI
and the CV of reflectance. In both cases, a weak correlation
was found against the reference functional diversity map (r2
= 0.05, p < .001 and r2 = 0.04, p < .001, respectively).
Conversely, the Rao's Q index calculated on F760 revealed
similar patterns as the ones observed in the reference map
and a better correlation (r2 = 0.5, p < .001). This
corroborates the potential of far-red F for assessing the
functional diversity of terrestrial ecosystems, opening
unprecedented perspectives for biodiversity monitoring
across different spatial and temporal scales.},
cin = {IBG-2},
ddc = {550},
cid = {I:(DE-Juel1)IBG-2-20101118},
pnm = {582 - Plant Science (POF3-582)},
pid = {G:(DE-HGF)POF3-582},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000549189200034},
doi = {10.1016/j.rse.2020.111934},
url = {https://juser.fz-juelich.de/record/885473},
}