EGU21-11255
https://doi.org/10.5194/egusphere-egu21-11255
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Data-informed trait-based modeling of microbial carbon cycling in soil

Holger Pagel1, Marie Uksa2, Christian Poll2, Ellen Kandeler2, and Thilo Streck1
Holger Pagel et al.
  • 1University of Hohenheim, Institute of Soil Science and Land Evaluation, Biogeophysics, Stuttgart, Germany (holgerp@uni-hohenheim.de)
  • 2University of Hohenheim, Institute of Soil Science and Land Evaluation, Soil Biology, Stuttgart, Germany

Soil microbial functional traits control carbon (C) decomposition and stabilization in soil. Integrating metabolic trade-offs and life-history strategies of microbial communities into models enhances the representation of feedbacks between microbial diversity and soil biogeochemical functions. This has great potential to improve our understanding of microbial C allocation and how microbial processes affect C storage and use efficiency in soil. The current challenge is, however, to quantify and identify ecologically meaningful microbial traits. This study utilizes data from a 13C pulse-labelling litter decomposition experiment to inform a new soil C turnover model that captures microbial life-history traits and dormancy in combination with soil organic matter accessibility. Quantitative data from 13C DNA stable isotope probing and high-throughput sequencing is used to parameterize the C utilization of copiotrophic and oligotrophic microorganisms. The new model is then applied to quantify C utilization of functional microbial groups and C turnover in soil.  In scenario analyses we investigate the sensitivity of functional microbial groups and its feedback on C cycling to C input.

How to cite: Pagel, H., Uksa, M., Poll, C., Kandeler, E., and Streck, T.: Data-informed trait-based modeling of microbial carbon cycling in soil, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-11255, https://doi.org/10.5194/egusphere-egu21-11255, 2021.

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