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@ARTICLE{Couvreur:877588,
author = {Couvreur, Valentin and Rothfuss, Youri and Meunier,
Félicien and Bariac, Thierry and Biron, Philippe and
Durand, Jean-Louis and Richard, Patricia and Javaux,
Mathieu},
title = {{D}isentangling temporal and population variability in
plant root water uptake from stable isotopic analysis: when
rooting depth matters in labeling studies},
journal = {Hydrology and earth system sciences},
volume = {24},
number = {6},
issn = {1607-7938},
address = {Katlenburg-Lindau},
publisher = {EGU},
reportid = {FZJ-2020-02310},
pages = {3057 - 3075},
year = {2020},
abstract = {Isotopic labeling techniques have the potential to minimize
the uncertainty of plant root water uptake (RWU) profiles
estimated using multisource (statistical) modeling by
artificially enhancing the soil water isotopic gradient. On
the other end of the modeling continuum, physical models can
account for hydrodynamic constraints to RWU if simultaneous
soil and plant water status data are available.In this
study, a population of tall fescue (Festuca arundinacea cv.
Soni) was grown in amacro-rhizotron and monitored for a
34 h long period following the oxygen stable isotopic
(18O) labeling of deep soil water. Aboveground variables
included tiller and leaf water oxygen isotopic compositions
(δtiller and δleaf, respectively) as well as leaf water
potential (ψleaf), relative humidity, and transpiration
rate. Belowground profiles of root length density (RLD),
soil water content, and isotopic composition were also
sampled. While there were strong correlations between
hydraulic variables as well as between isotopic variables,
the experimental results underlined the partial disconnect
between the temporal dynamics of hydraulic and isotopic
variables.In order to dissect the problem, we reproduced
both types of observations with a one-dimensional physical
model of water flow in the soil–plant domain for 60
different realistic RLD profiles. While simulated ψleaf
followed clear temporal variations with small differences
across plants, as if they were “onboard the same roller
coaster”, simulated δtiller values within the plant
population were rather heterogeneous (“swarm-like”) with
relatively little temporal variation and a strong
sensitivity to rooting depth. Thus, the physical model
explained the discrepancy between isotopic and hydraulic
observations: the variability captured by δtiller reflected
the spatial heterogeneity in the rooting depth in the soil
region influenced by the labeling and may not correlate with
the temporal dynamics of ψleaf. In other words, ψleaf
varied in time with transpiration rate, while δtiller
varied across plants with rooting depth.For comparison
purposes, a Bayesian statistical model was also used to
simulate RWU. While it predicted relatively similar
cumulative RWU profiles, the physical model could
differentiate the spatial from the temporal dynamics of the
isotopic composition. An important difference between the
two types of RWU models was the ability of the physical
model to simulate the occurrence of hydraulic lift in order
to explain concomitant increases in the soil water content
and the isotopic composition observed overnight above the
soil labeling region.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000541483600002},
doi = {10.5194/hess-24-3057-2020},
url = {https://juser.fz-juelich.de/record/877588},
}