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@ARTICLE{Schnepf:875104,
author = {Schnepf, Andrea and Black, Christopher K. and Couvreur,
Valentin and Delory, Benjamin M. and Doussan, Claude and
Koch, Axelle and Koch, Timo and Javaux, Mathieu and Landl,
Magdalena and Leitner, Daniel and Lobet, Guillaume and Mai,
Trung Hieu and Meunier, Félicien and Petrich, Lukas and
Postma, Johannes A. and Priesack, Eckart and Schmidt, Volker
and Vanderborght, Jan and Vereecken, Harry and Weber,
Matthias},
title = {{C}all for {P}articipation: {C}ollaborative {B}enchmarking
of {F}unctional-{S}tructural {R}oot {A}rchitecture {M}odels.
{T}he {C}ase of {R}oot {W}ater {U}ptake},
journal = {Frontiers in Functional Plant Ecology},
volume = {11},
issn = {1664-462X},
address = {Lausanne},
publisher = {Frontiers Media88991},
reportid = {FZJ-2020-01807},
pages = {316},
year = {2020},
abstract = {Three-dimensional models of root growth, architecture and
function are becoming important tools that aid the design of
agricultural management schemes and the selection of
beneficial root traits. However, while benchmarking is
common in many disciplines that use numerical models, such
as natural and engineering sciences, functional-structural
root architecture models have never been systematically
compared. The following reasons might induce disagreement
between the simulation results of different models:
different representation of root growth, sink term of root
water and solute uptake and representation of the
rhizosphere. Presently, the extent of discrepancies is
unknown, and a framework for quantitatively comparing
functional-structural root architecture models is required.
We propose, in a first step, to define benchmarking
scenarios that test individual components of complex models:
root architecture, water flow in soil and water flow in
roots. While the latter two will focus mainly on comparing
numerical aspects, the root architectural models have to be
compared at a conceptual level as they generally differ in
process representation. Therefore, defining common inputs
that allow recreating reference root systems in all models
will be a key challenge. In a second step, benchmarking
scenarios for the coupled problems are defined. We expect
that the results of step 1 will enable us to better
interpret differences found in step 2. This benchmarking
will result in a better understanding of the different
models and contribute toward improving them. Improved models
will allow us to simulate various scenarios with greater
confidence and avoid bugs, numerical errors or conceptual
misunderstandings. This work will set a standard for future
model development.},
cin = {IBG-3 / IBG-2},
ddc = {570},
cid = {I:(DE-Juel1)IBG-3-20101118 / I:(DE-Juel1)IBG-2-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255) / 582 - Plant Science (POF3-582)},
pid = {G:(DE-HGF)POF3-255 / G:(DE-HGF)POF3-582},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32296451},
UT = {WOS:000526711800001},
doi = {10.3389/fpls.2020.00316},
url = {https://juser.fz-juelich.de/record/875104},
}