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@ARTICLE{Giraud:1014991,
author = {Giraud, Mona and Le Gall, Samuel and Harings, Moritz and
Javaux, Mathieu and Leitner, Daniel and Meunier, Félicien
and Rothfuss, Youri and van Dusschoten, Dagmar and
Vanderborght, Jan and Vereecken, Harry and Lobet, Guillaume
and Schnepf, Andrea},
title = {{CP}lant{B}ox: a fully coupled modelling platform for the
water and carbon fluxes in the soil–plant–atmosphere
continuum},
journal = {In silico plants},
volume = {5},
number = {2},
issn = {2517-5025},
address = {[Oxford]},
publisher = {Oxford University Press},
reportid = {FZJ-2023-03527},
pages = {diad009},
year = {2023},
abstract = {A plant’s development is strongly linked to the water and
carbon flows in the soil–plant–atmosphere continuum.
Expected climate shifts will alter the water and carbon
cycles and will affect plant phenotypes. Comprehensive
models that simulate mechanistically and dynamically the
feedback loops between a plant’s three-dimensional
development and the water and carbon flows are useful tools
to evaluate the sustainability of
genotype–environment–management combinations which do
not yet exist. In this study, we present the latest version
of the open-source three-dimensional Functional–Structural
Plant Model CPlantBox with PiafMunch and DuMux coupling.
This new implementation can be used to study the
interactions between known or hypothetical processes at the
plant scale. We simulated semi-mechanistically the
development of generic C3 monocots from 10 to 25 days after
sowing and undergoing an atmospheric dry spell of 1 week (no
precipitation). We compared the results for dry spells
starting on different days (Day 11 or 18) against a wetter
and colder baseline scenario. Compared with the baseline,
the dry spells led to a lower instantaneous water-use
efficiency. Moreover, the temperature-induced increased
enzymatic activity led to a higher maintenance respiration
which diminished the amount of sucrose available for growth.
Both of these effects were stronger for the later dry spell
compared with the early dry spell. We could thus use
CPlantBox to simulate diverging emerging processes (like
carbon partitioning) defining the plants’ phenotypic
plasticity response to their environment. The model remains
to be validated against independent observations of the
soil–plant–atmosphere continuum.},
cin = {IBG-3},
ddc = {004},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217)},
pid = {G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001068599000001},
doi = {10.1093/insilicoplants/diad009},
url = {https://juser.fz-juelich.de/record/1014991},
}