Coupled C and N turnover in a dynamic pore scale model reveal the impact of exudate quality on microbial necromass formation
Rötzer M, Braunmiller H, Lehndorff E, Ray N, Scheibe A, Prechtel A (2026)
Publication Type: Journal article
Publication year: 2026
Book Volume: 12
Pages Range: 205-226
Journal Issue: 1
Abstract
The adequate quantification of soil organic carbon (SOC) turnover is a pressing need for improving soil health and advancing our understanding of climate dynamics. It is controlled by the complex interplay of microbial activity, availability of carbon (C) and nitrogen (N) sources, and the dynamic restructuring of the soil's architecture. Accurate modeling of SOC dynamics therefore requires the representation of these processes at small spatial scales. We present a mechanistic, spatially explicit pore-scale model, which couples enzymatic degradation of particulate organic matter (POM), microbial necromass and root exudates with microbial growth and turnover, C respiration and N cycling depending on the C/N ratios of the different organic carbon sources. It is combined with a cellular automaton model for simulating soil structure dynamics including the stabilization of soil particles, POM or microbial necromass via organo‐mineral associations. The virtual soil simulations use parameters from rhizosphere experiments – without parameter fitting – to explore the influence of (i) soil structural heterogeneity and connectivity, (ii) N limitation, and (iii) necromass formation on SOC storage. Our results demonstrate that evolving soil architecture and pore connectivity control substrate accessibility, creating micro‐scale hot and cold spots for microbes. N availability consistently co-limits microbial growth, while a favorable C/N ratio of root exudates substantially reduces respiration and increases CUE over extended periods. Necromass emerges as a persistent SOC pool, as N derived from short‐term root exudation pulses promotes biomass growth and is subsequently converted into slowly degradable necromass, which can be physically protected through occlusion. These findings are consistent with lab experiments and additionally provide insights into the spatial and temporal dynamics of the drivers of carbon turnover.
Authors with CRIS profile
Maximilian Rötzer
Lehrstuhl für Angewandte Mathematik (Modellierung und Numerik)
Nadja Ray
Lehrstuhl für Angewandte Mathematik (Modellierung und Numerik)
Alexander Prechtel
Lehrstuhl für Angewandte Mathematik (Modellierung und Numerik)
Involved external institutions
Germany (DE)How to cite
APA:
Rötzer, M., Braunmiller, H., Lehndorff, E., Ray, N., Scheibe, A., & Prechtel, A. (2026). Coupled C and N turnover in a dynamic pore scale model reveal the impact of exudate quality on microbial necromass formation. , 12(1), 205-226. https://doi.org/10.5194/soil-12-205-2026
MLA:
Rötzer, Maximilian, et al. "Coupled C and N turnover in a dynamic pore scale model reveal the impact of exudate quality on microbial necromass formation." 12.1 (2026): 205-226.
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