An elementary multistage discrete model of soil organic matter transformations with a continuous scale of stability

Барцев, С. И.; Pochekutov, Aleksei A.

doi:10.1016/j.ecolmodel.2018.12.012

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…In contrast to compartment models, continuous models have received little attention from developers in recent years. Existing models represent SOM as a distribution along a quality axis and describe how organic matter (OM) quality evolves towards more recalcitrant -or stable -stages as decomposition progresses, without a detailed description of microbial and biogeochemical mechanisms (Ågren et al, 2017Bartsev and Pochekutov, 2019;Menichetti et al, 2019). At first glance, they seem particularly appealing for representing the current view of SOM as a range of heterogeneous organic compounds at different decomposition stages with few parameters.…”

Section: Introductionmentioning

confidence: 99%

Description of the continuous nature of organic matter in models of soil carbon dynamics

Sainte-Marie¹,

Barrandon²,

Sainte-André³

et al. 2020

Preprint

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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 these new insights 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 modelling approaches to accurately reproduce SOM cycling processes. Model theoretical simulations highlight the role of SOM accessibility on its turnover. They reveal how enzyme depolymerization, decomposer community succession and carbon use efficiency are key drivers of SOM composition and quantity during decomposition and at steady-state.The mathematical structure of C-STABILITY may be tailored to different scales and is open to alternative formulations, thus offering a promising foundation for enhancing carbon cycling predictions.

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Section: Introductionmentioning

confidence: 99%

Description of the continuous nature of organic matter in models of soil carbon dynamics

Sainte-Marie¹,

Barrandon²,

Sainte-André³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

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

et al. 2021

View full text Add to dashboard Cite

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.

show abstract

An elementary multistage discrete model of soil organic matter transformations with a continuous scale of stability

Cited by 2 publications

References 7 publications

Description of the continuous nature of organic matter in models of soil carbon dynamics

Description of the continuous nature of organic matter in models of soil carbon dynamics

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

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