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@ARTICLE{Khare:908400,
author = {Khare, Deepanshu and Selzner, Tobias and Leitner, Daniel
and Vanderborght, Jan and Vereecken, Harry and Schnepf,
Andrea},
title = {{R}oot {S}ystem {S}cale {M}odels {S}ignificantly
{O}verestimate {R}oot {W}ater {U}ptake at {D}rying {S}oil
{C}onditions},
journal = {Frontiers in Functional Plant Ecology},
volume = {13},
issn = {1664-462X},
address = {Lausanne},
publisher = {Frontiers Media},
reportid = {FZJ-2022-02590},
pages = {798741},
year = {2022},
abstract = {Soil hydraulic conductivity (ksoil) drops significantly in
dry soils, resulting in steep soil water potential gradients
(ψs) near plant roots during water uptake. Coarse soil grid
resolutions in root system scale (RSS) models of root water
uptake (RWU) generally do not spatially resolve this
gradient in drying soils which can lead to a large
overestimation of RWU. To quantify this, we consider a
benchmark scenario of RWU from drying soil for which a
numerical reference solution is available. We analyze this
problem using a finite volume scheme and investigate the
impact of grid size on the RSS model results. At dry
conditions, the cumulative RWU was overestimated by up to
$300\%$ for the coarsest soil grid of 4.0 cm and by $30\%$
for the finest soil grid of 0.2 cm, while the computational
demand increased from 19 s to 21 h. As an accurate and
computationally efficient alternative to the RSS model, we
implemented a continuum multi-scale model where we keep a
coarse grid resolution for the bulk soil, but in addition,
we solve a 1-dimensional radially symmetric soil model at
rhizosphere scale around individual root segments. The
models at the two scales are coupled in a mass-conservative
way. The multi-scale model compares best to the reference
solution $(−20\%)$ at much lower computational costs of
4min. Our results demonstrate the need to shift to improved
RWU models when simulating dry soil conditions and highlight
that results for dry conditions obtained with RSS models of
RWU should be interpreted with caution.},
cin = {IBG-3},
ddc = {570},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217) / Advancing structural-functional modelling of
root growth and root-soilinteractions based on automatic
reconstruction of root systems fromMRI (274830790) / EXC
2070: PhenoRob - Robotics and Phenotyping for Sustainable
Crop Production (390732324) / BonaRes - (Modul A, Phase 2):
Soil3-II - Nachhaltiges Unterbodenmanagement, Teilprojekt C
(031B0515C)},
pid = {G:(DE-HGF)POF4-2173 / G:(GEPRIS)274830790 /
G:(BMBF)390732324 / G:(BMBF)031B0515C},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:35237283},
UT = {WOS:000761659600001},
doi = {10.3389/fpls.2022.798741},
url = {https://juser.fz-juelich.de/record/908400},
}