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

Type de document
journalArticle
Langue source
-- Langue source --
Titre
C-STABILITY an innovative modeling framework to leverage the continuous representation of organic matter
Titre français
Titre anglais
Auteur(s)
  • SAINTE-MARIE Julien
  • BARRANDON Matthieu
  • SAINT-ANDRÉ Laurent
  • GELHAYE Eric
  • MARTIN Francis
  • DERRIEN Delphine
Editeur(s)
Autre(s)
Id
2UPDPBVX
Version
3480
Url zotero
https://www.zotero.org/groups/2567444/items/2UPDPBVX
Date ajout
22 avril 2021 18:28
Date modification
22 avril 2021 18:28
Résumé
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.
Note
None
CRAW tags
  • AB - Transversal
  • FREDO biologie et travail du sol
  • FREDO fertilisation
  • GEO France
  • GEO Global
WEB tags
Titre de la publication
Nature Communications
Volume
12
Pages
810
Date caractères
2021-02-05
Date publication
5 février 2021
Doi
10.1038/s41467-021-21079-6 Le DOI est une URL unique de référencement d'une publication. Il est donc plus fiable et permanent qu'une URL classique
Issn
2041-1723 L’ISSN est un code de 8 chiffres servant à identifier les journaux, revues, magazines, périodiques de toute nature et sur tous supports, papier comme électronique.
Url publication
https://www.nature.com/articles/s41467-021-21079-6