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@ARTICLE{Schnepf:1010527,
author = {Schnepf, Andrea and Black, Christopher K and Couvreur,
Valentin and Delory, Benjamin M and Doussan, Claude and
Heymans, Adrien and Javaux, Mathieu and Khare, Deepanshu and
Koch, Axelle and Koch, Timo and Kuppe, Christian W and
Landl, Magdalena and Leitner, Daniel and Lobet, Guillaume
and Meunier, Félicien and Postma, Johannes A and Schäfer,
Ernst D and Selzner, Tobias and Vanderborght, Jan and
Vereecken, Harry},
title = {{C}ollaborative benchmarking of functional-structural root
architecture models: {Q}uantitative comparison of simulated
root water uptake},
journal = {In silico plants},
volume = {5},
number = {1},
issn = {2517-5025},
address = {[Oxford]},
publisher = {Oxford University Press},
reportid = {FZJ-2023-03110},
pages = {diad005},
year = {2023},
abstract = {Functional-structural root architecture models have evolved
as tools for the design of improved agricultural management
practices and for the selection of optimal root traits. In
order to test their accuracy and reliability, we present the
first benchmarking of root water uptake from soil using five
well-established functional-structural root architecture
models: DuMux, CPlantBox, R-SWMS, OpenSimRoot and SRI. The
benchmark scenarios include basic tests for water flow in
soil and roots as well as advanced tests for the coupled
soil-root system. The reference solutions and the solutions
of the different simulators are available through Jupyter
Notebooks on a GitHub repository. All of the simulators were
able to pass the basic tests and continued to perform well
in the benchmarks for the coupled soil-plant system. For the
advanced tests, we created an overview of the different ways
of coupling the soil and the root domains as well as the
different methods used to account for rhizosphere resistance
to water flow. Although the methods used for coupling and
modelling rhizosphere resistance were quite different, all
simulators were in reasonably good agreement with the
reference solution. During this benchmarking effort,
individual simulators were able to learn about their
strengths and challenges, while some were even able to
improve their code. Some now include the benchmarks as
standard tests within their codes. Additional model results
may be added to the GitHub repository at any point in the
future and will be automatically included in the
comparison.},
cin = {IBG-3 / IBG-2},
ddc = {004},
cid = {I:(DE-Juel1)IBG-3-20101118 / I:(DE-Juel1)IBG-2-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217)},
pid = {G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001046771300002},
doi = {10.1093/insilicoplants/diad005},
url = {https://juser.fz-juelich.de/record/1010527},
}