Evidence map›Paper›PMID 39920400›Full record

ArticleJournal of mathematical biology2025

A theoretical and computational study of heteroclinic cycles in Lotka-Volterra systems.

M C Bortolan, P Kalita, J A Langa, R O Moura

Abstract read
In one paragraph

Article in Journal of mathematical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

M C BortolanDepartamento de Matemática, Centro de Ciências Físicas e Matemt́icas, Universidade Federal de Santa Catarina, Campus Florianópolis, Florianópolis, SC, CEP 88040-090, Brazil.
P KalitaFaculty of Mathematics and Computer Science, Jagiellonian University, ul. Łojasiewicza 6, 30-348, Kraków, Poland.
J A LangaDepartamento de Ecuaciones Diferenciales y Análisis Numérico, Universidad de Sevilla, Campus Reina Mercedes, 41012, Sevilla, Spain. langa@us.es.ORCID 0000-0002-8765-0764
R O MouraInstituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, Campus de São Carlos, São Carlos, SP, Caixa Postal 668, Brazil.

Funding

CAPES 88887.828519/2023-00FAPESP 2023/11798-5Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España PID2021-122991NB-C21NCN UMO2016/22/A/ST1/00077
6 · The paper itself

Abstract

In general, global attractors are composed of isolated invariant sets and the connections between them. This structure can possibly be highly complex, encompassing attraction basins, repeller sets and invariant sets that, collectively, form a dynamical landscape. Lotka-Volterra systems have long been pivotal as preliminary models for dynamics in complex networks exhibiting pairwise interactions. In scenarios involving Volterra-Lyapunov (VL) stable matrices, the dynamics is simplified in such a way that the positive solutions converge to a single, globally asymptotically stable stationary point as time tends to infinity, thereby excluding the existence of periodic solutions. In this work, we conduct a systematic study on the emergence of heteroclinic cycles within Lotka-Volterra systems characterized by Volterra-Lyapunov stable matrices. Although VL stability of the matrix implies that

Indexed as

Models, BiologicalComputational BiologyComputer SimulationHumansMathematical ConceptsAlpha-limitsCycle structureInvasion graphLotka–VolterraVolterra–Lyapunov matrix

Identifiers

PMID39920400
PMCPMC11805806

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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.