Evidence map›Paper›PMID 35666771›Full record

ArticlePLoS computational biology2022

Model-checking ecological state-transition graphs.

Colin Thomas, Maximilien Cosme, Cédric Gaucherel, Franck Pommereau

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. 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. Trends, stasis and trajectories for plant and animal domestications: possibilistic models alert on resource overexploitation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  2. Article
  3. Embedded Complexity of Evolutionary Sequences.Entropy (Basel, Switzerland) · 2024
    Article
  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

4 authors.

Colin ThomasIBISC, Univ. Évry, Univ. Paris-Saclay, 91020 Évry-Courcouronne, France.ORCID 0000-0002-7650-784X
Maximilien CosmeAMAP, Univ. Montpellier, INRAE, CIRAD, CNRS, IRD, Montpellier, France.ORCID 0000-0001-8353-5104
Cédric GaucherelAMAP, Univ. Montpellier, INRAE, CIRAD, CNRS, IRD, Montpellier, France.ORCID 0000-0002-4521-8914
Franck PommereauIBISC, Univ. Évry, Univ. Paris-Saclay, 91020 Évry-Courcouronne, France.ORCID 0000-0002-9959-3699

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Model-checking is a methodology developed in computer science to automatically assess the dynamics of discrete systems, by checking if a system modelled as a state-transition graph satisfies a dynamical property written as a temporal logic formula. The dynamics of ecosystems have been drawn as state-transition graphs for more than a century, ranging from state-and-transition models to assembly graphs. Model-checking can provide insights into both empirical data and theoretical models, as long as they sum up into state-transition graphs. While model-checking proved to be a valuable tool in systems biology, it remains largely underused in ecology apart from precursory applications. This article proposes to address this situation, through an inventory of existing ecological STGs and an accessible presentation of the model-checking methodology. This overview is illustrated by the application of model-checking to assess the dynamics of a vegetation pathways model. We select management scenarios by model-checking Computation Tree Logic formulas representing management goals and built from a proposed catalogue of patterns. In discussion, we sketch bridges between existing studies in ecology and available model-checking frameworks. In addition to the automated analysis of ecological state-transition graphs, we believe that defining ecological concepts with temporal logics could help clarify and compare them.

Indexed as

EcosystemSystems BiologyLogicModels, Theoretical

Identifiers

PMID35666771
PMCPMC9203009

What OpenQuestion holds

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Registered trials

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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.