Evidence map›Paper›PMID 33547289›Full record

ArticleNature communications2021

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

Julien Sainte-Marie, Matthieu Barrandon, Laurent Saint-André, Eric Gelhaye, Francis Martin, Delphine Derrien

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Julien Sainte-MarieUniversité de Lorraine, AgroParisTech, INRAE, SILVA, F-54000, Nancy, France. julien.sainte-marie@agroparistech.fr.ORCID http://orcid.org/0000-0002-8108-3519
Matthieu BarrandonUniversité de Lorraine, CNRS, IECL, F-54000, Nancy, France.
Laurent Saint-AndréINRAE, BEF, F-54000, Nancy, France.
Eric GelhayeUniversité de Lorraine, INRAE, IAM, F-54000, Nancy, France.
Francis MartinUniversité de Lorraine, INRAE, IAM, F-54000, Nancy, France.
Delphine DerrienINRAE, BEF, F-54000, Nancy, France. delphine.derrien@inrae.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Models, StatisticalBiodegradation, EnvironmentalBiotransformationCelluloseComputer SimulationLigninLipidsMicrobial ConsortiaProteinsSoilSoil MicrobiologySugarsCelluloseLigninLipidsProteinsSoilSugars

Identifiers

PMID33547289
PMCPMC7864906

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.