EGU21-15191, updated on 10 Jan 2024
https://doi.org/10.5194/egusphere-egu21-15191
EGU General Assembly 2021
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Trait-Based Modeling of Microbial Interactions and Carbon Cycling in the Rhizosphere

Ahmet Sircan1, Mona Giraud2, Guillaume Lobet2, Andrea Schnepf2, Thilo Streck1, and Holger Pagel1
Ahmet Sircan et al.
  • 1University of Hohenheim, Institute of Soil Science and Land Evaluation, Biogeophysics, Germany (ahmet.sircan@uni-hohenheim.de)
  • 2Forschungszentrum Julich, Institute of Bio- and Geosciences IBG-3: Agrosphere, Germany (m.giraud@fz-juelich.de)

The rhizosphere shows complex spatial and temporal patterns of biophysical and biochemical processes. Process-based modeling that accounts for functional microbial traits provides a tool to gain a better understanding of microbial interactions involved in carbon cycling in the rhizosphere. Here, we present a trait-based rhizosphere model that accounts for microbial life-history strategies (copiotrophs, oligotrophs), microbial physiology (e.g., dormancy), and organic carbon bioaccessibility (small and large polymers). The model reflects the mm-scale microbial and carbon dynamics around a cylindrical root segment and will be linked with a structural-functional soil-plant model (CPlantBox), which enables to connect water, carbon and nitrogen dynamics in the rhizosphere to plant and bulk soil dynamics. We show the concept of trait-based rhizosphere modeling, first simulations, and our model coupling approach to CPlantBox.

 

How to cite: Sircan, A., Giraud, M., Lobet, G., Schnepf, A., Streck, T., and Pagel, H.: Trait-Based Modeling of Microbial Interactions and Carbon Cycling in the Rhizosphere, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-15191, https://doi.org/10.5194/egusphere-egu21-15191, 2021.

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