C-STABILITY an innovative modeling framework to leverage the continuous representation of organic matter

Julien Sainte-Marie (1) , Matthieu Barrandon (2) , Laurent Saint-André (3) , Éric Gelhaye (4) , Francis Martin (4, 5) , Delphine Derrien (3)

1 SILVA - SILVA
2 IECL - Institut Élie Cartan de Lorraine
3 BEF - Unité de recherche Biogéochimie des Ecosystèmes Forestiers
4 IAM - Interactions Arbres-Microorganismes
5 Beijing Forestry University

The understanding of soil organic matter (SOM) dynamics has considerably advanced in recent years. It was previously assumed that most SOM consisted of recalcitrant compounds, whereas the emerging view considers SOM as a range of polymers continuously processed into smaller molecules by decomposer enzymes. Mainstreaming this new paradigm in current models is challenging because of their ill-adapted framework. We propose the C-STABILITY model to resolve this issue. Its innovative framework combines compartmental and continuous modeling approaches to accurately reproduce SOM cycling processes. C-STABILITY emphasizes the influence of substrate accessibility on SOM turnover and makes enzymatic and microbial biotransformations of substrate explicit. Theoretical simulations provide new insights on how depolymerization and decomposers ecology impact organic matter chemistry and amount during decomposition and at steady state. The flexible mathematical structure of C-STABILITY offers a promising foundation for exploring new mechanistic hypotheses and supporting the design of future experiments.

Domaines: Sciences du Vivant [q-bio]

Julien Sainte-Marie, Matthieu Barrandon, Laurent Saint-André, Éric Gelhaye, Francis Martin, et al.. C-STABILITY an innovative modeling framework to leverage the continuous representation of organic matter. Nature Communications, 2021, 12, pp.1-13. ⟨10.1038/s41467-021-21079-6⟩. ⟨hal-03134066⟩