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@ARTICLE{Giraud:1049492,
      author       = {Giraud, Mona and Sırcan, Ahmet Kürşad and Streck, Thilo
                      and Leitner, Daniel and Lobet, Guillaume and Pagel, Holger
                      and Schnepf, Andrea},
      title        = {{I}n silico analysis of carbon stabilisation by plant and
                      soil microbes for different weather scenarios; 1st ed.},
      journal      = {Soil},
      issn         = {2199-3971},
      address      = {Göttingen},
      publisher    = {Copernicus Publ.},
      reportid     = {FZJ-2025-05300},
      year         = {2025},
      abstract     = {A plant's development is strongly linked to the water and
                      carbon (C) flows in the soil-plant-atmosphere continuum.
                      Ongoing climate shifts will alter the water and C cycles and
                      affect plant phenotypes. Comprehensive models that simulate
                      mechanistically and dynamically the feedback loops between
                      water and C fluxes in the soil-plant system are useful tools
                      to evaluate the sustainability of
                      genotype-environment-management combinations that do not yet
                      exist. In this study, we present the equations and
                      implementation of a rhizosphere-soil model within the
                      CPlantBox framework, a functional-structural plant model
                      that represents plant processes and plant-soil interactions.
                      The multi-scale plant-rhizosphere-soil coupling scheme
                      previously used for CPlantBox was likewise updated, among
                      others to include an implicit time-stepping. The model was
                      implemented to simulate the effect of dry spells occurring
                      at different plant development stages, and for different
                      soil biokinetic parametrisations of microbial dynamics in
                      soil. We could observe diverging results according to the
                      date of occurrence of the dry spells and soil
                      parametrisations. For instance, an earlier dry spell led to
                      a lower cumulative plant C release, while later dry spells
                      led to higher C input to the soil. For more reactive
                      microbial communities, this higher C input caused a strong
                      increase in CO$_2$ emissions, while, for the same weather
                      scenario, we observed a lasting stabilisation of soil C with
                      less reactive communities. This model can be used to gain
                      insight into C and water flows at the plant scale, and the
                      influence of soil-plant interactions on C cycling in soil.},
      cin          = {IBG-3},
      ddc          = {550},
      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)25},
      doi          = {10.5194/egusphere-2025-572},
      url          = {https://juser.fz-juelich.de/record/1049492},
}