Université de Lorraine, AgroParisTech, INRAE, SILVA, F-54000, Nancy, France.
INRAE, BEF, F-54000, Nancy, France.
Nat Commun. 2021 Feb 5;12(1):810. doi: 10.1038/s41467-021-21079-6.
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.
近年来，人们对土壤有机质（SOM）动态变化的理解有了显著的提高。过去，人们普遍认为大部分 SOM 由难降解的化合物组成，而新的观点则认为 SOM 是一系列聚合物，通过分解酶不断降解为更小的分子。由于现有模型的框架不合适，将这一新范式纳入主流具有一定的挑战性。我们提出了 C-STABILITY 模型来解决这个问题。它的创新框架结合了隔间和连续建模方法，以准确再现 SOM 循环过程。C-STABILITY 强调了底物可及性对 SOM 周转的影响，并明确了酶和微生物对底物的生物转化。理论模拟为了解解聚和分解者生态如何在分解和稳态过程中影响有机物质的化学性质和数量提供了新的见解。C-STABILITY 的灵活数学结构为探索新的机制假设和支持未来实验的设计提供了有前途的基础。
