- 1Catholic University of Eichstaett-Ingolstadt, Mathematical Institute for Machine Learning and Data Science, The Faculty of Mathematics and Geography, Ingolstadt, Germany (chang.peng@ku.de)
- 2Friedrich-Alexander-Universität Erlangen-Nürnberg, Department Mathematics (Modelling and Numerics), Erlangen, Germany
Soil organic matter turnover and microbial metabolism are fundamentally driven by the acquisition and utilization of carbon, energy, nitrogen and further nutrients. Understanding how microbial processes respond to different energy and substrate conditions is therefore essential for revealing the mechanisms controlling soil carbon turnover and storage. This study focuses on the microscale dynamics of microbes interacting with different substrates, as well as the associated evolution of metabolic energy. Using a Cellular Automaton framework, a process-based model is developed to couple microbial activity with carbon, nutrients, energy as well as structural dynamics. The model includes local interactions of microbial consumption of organic carbon, nutrient uptake, degradation, and growth, while simultaneously representing the internal energy dynamics of the system. Based on this model, we investigate how different substrate conditions—characterized by varying energy content, stoichiometric properties, and spatial distributions—and connectivity impact energy dynamics, microbial community formation, and necromass accumulation.
How to cite: Peng, C. and Ray, N.: How Substrate Properties and Spatial Connectivity Shape Microbial Energy Dynamics and SOM Turnover, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1852, https://doi.org/10.5194/egusphere-egu26-1852, 2026.