Evidence map›Paper›PMID 38630280›Full record

ArticleJournal of mathematical biology2024

Structural stability of invasion graphs for Lotka-Volterra systems.

Pablo Almaraz, Piotr Kalita, José A Langa, Fernando Soler-Toscano

Abstract read
In one paragraph

Article in Journal of mathematical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. A practical guide to characterising ecological coexistence.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  5. On Considering Unoccupied Sites in Ecological Models.Entropy (Basel, Switzerland) · 2025
    Article
  6. 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.

Pablo AlmarazDepartamento de Ecuaciones Diferenciales y Análisis Numérico, Universidad de Sevilla, Campus Reina Mercedes, 41012, Sevilla, Spain.
Piotr KalitaDepartamento de Ecuaciones Diferenciales y Análisis Numérico, Universidad de Sevilla, Campus Reina Mercedes, 41012, Sevilla, Spain. piotr.kalita@ii.uj.edu.pl.ORCID 0000-0002-2651-9666
José A LangaDepartamento de Ecuaciones Diferenciales y Análisis Numérico, Universidad de Sevilla, Campus Reina Mercedes, 41012, Sevilla, Spain.
Fernando Soler-ToscanoDepartamento de Filosofía, Lógica y Filosofía de la Ciencia, Universidad de Sevilla, C/ Camillo José Cela, s/n, 41018, Sevilla, Spain.

Funding

Consejería de Economía, Conocimiento, Empresas y Universidad, Junta de Andalucía P20-00592ía de Economía, Conocimiento, Empresas y Universidad, Junta de Andalucía US-1254251Ministerio de Ciencia e Innovación PGC2018-096540-B-I00Narodowa Agencja Wymiany Akademickiej PID2021-122991NB-C21Narodowa Agencja Wymiany Akademickiej PPN/BEK/2020/1/00265Narodowe Centrum Nauki DEC-2017/25/B/ST1/00302Narodowe Centrum Nauki UMO-2016/22/A/ST1/00077
6 · The paper itself

Abstract

In this paper, we study in detail the structure of the global attractor for the Lotka-Volterra system with a Volterra-Lyapunov stable structural matrix. We consider the invasion graph as recently introduced in Hofbauer and Schreiber (J Math Biol 85:54, 2022) and prove that its edges represent all the heteroclinic connections between the equilibria of the system. We also study the stability of this structure with respect to the perturbation of the problem parameters. This allows us to introduce a definition of structural stability in ecology in coherence with the classical mathematical concept where there exists a detailed geometrical structure, robust under perturbation, that governs the transient and asymptotic dynamics.

Indexed as

Ecology34C3734D4537C7092D25

Identifiers

PMID38630280
PMCPMC11023985

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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.