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@ARTICLE{Jonard:878678,
author = {Jonard, F. and De Cannière, S. and Brüggemann, N. and
Gentine, P. and Short Gianotti, D. J. and Lobet, G. and
Miralles, D. G. and Montzka, C. and Pagán, B. R. and
Rascher, U. and Vereecken, H.},
title = {{V}alue of sun-induced chlorophyll fluorescence for
quantifying hydrological states and fluxes: {C}urrent status
and challenges},
journal = {Agricultural and forest meteorology},
volume = {291},
issn = {0168-1923},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2020-02996},
pages = {108088 -},
year = {2020},
note = {Es gibt kein Postprint dazu, dies ist das Einzige was vom
Verlag zur Verfügung gestellt wird},
abstract = {Predictions of hydrological states and fluxes, especially
transpiration, are poorly constrained in hydrological models
due to large uncertainties in parameterization and process
description. Novel technologies like remote sensing of
sun-induced chlorophyll fluorescence (SIF)—which provides
information from the photosynthetic apparatus—may help in
constraining water cycle components. This paper discusses
the nature of the plant physiological basis of the
fluorescence signal and analyses the current literature
linking hydrological states and fluxes to SIF. Given the
connection between photosynthesis and transpiration, through
the water use efficiency, SIF may serve as a pertinent
constraint for hydrological models. The FLuorescence
EXplorer (FLEX) satellite, planned to be launched in 2023,
is expected to provide spatially high-resolution
measurements of red and far-red SIF complementing the
products from existing satellite missions and the
high-temporal resolution products from upcoming
geostationary missions. This new data stream may allow us to
better constrain plant transpiration, assess the impacts of
water stress on plants, and infer processes occurring in the
root zone through the soil-plant water column. To make
optimal use of this data, progress needs to be made in 1)
our process representation of spatially aggregated
fluorescence signals from spaceborne SIF instruments, 2)
integration of fluorescence processes in hydrological
models—particularly when paired with other satellite data,
3) quantifying the impact of soil moisture on SIF across
scales, and 4) assessment of the accuracy of SIF
measurements—especially from space.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255) / DFG project 390732324 - EXC 2070: PhenoRob -
Robotik und Phänotypisierung für Nachhaltige
Nutzpflanzenproduktion},
pid = {G:(DE-HGF)POF3-255 / G:(GEPRIS)390732324},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000556177600044},
doi = {10.1016/j.agrformet.2020.108088},
url = {https://juser.fz-juelich.de/record/878678},
}