Transitive to cyclic dominance in eco-evolutionary dynamics of strategic species

Eco-evolutionary game dynamics explores the intricate interplay between ecological processes and evolutionary strategies. Here we unveil various transition mechanisms from transitive dominance to cyclic dominance within ecological communities, using evolutionary game theory to model strategic interactions among species. Specifically, we choose a multigame framework that incorporates games that exhibit transitive and cyclic dominance. By integrating appropriate models for transitive dominance and cyclic dominance, and through rigorous numerical simulations and analytical approaches, we explore evolutionary game dynamics under varying conditions. We show that, under specific conditions, communities can change from a linear hierarchy, or transitive dominance, to a cyclical structure, or cyclic dominance, which significantly affects ecosystem community structures. We also show that not only game-independent factors, but also intrinsic game parameters can drive a transition from transitive dominance to cyclic dominance. More precisely, we show how changes in the probability of game selection can lead to this transition. Moreover, we demonstrate that even benefits arising from free space can facilitate the shift from transitive to cyclic dominance. Our study thus explores the mechanisms that drive transitions between these dominance patterns and, in so doing, we underscore the importance of multiple game dynamics for accurately describing the intricacies of natural ecosystems.

Authors

Institutions

Publication Details

Journal
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
Published
2025-02-01
DOI
https://doi.org/10.1098/rspa.2024.0734
Citations
12
Primary Topic
Evolutionary Game Theory and Cooperation
Type
article
Field-Weighted Citation Impact
50.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transitive to cyclic dominance in eco-evolutionary dynamics of strategic species

Dibakar Ghosh, Matjaž Perc, Soumen Majhi, Sourav Roy
12 citations
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
Evolutionary Game Theory and Cooperation
50.42
article

Transitive to cyclic dominance in eco-evolutionary dynamics of strategic species

Dibakar Ghosh, Matjaž Perc, Soumen Majhi, Sourav Roy
article en
12 citations

Abstract

Eco-evolutionary game dynamics explores the intricate interplay between ecological processes and evolutionary strategies. Here we unveil various transition mechanisms from transitive dominance to cyclic dominance within ecological communities, using evolutionary game theory to model strategic interactions among species. Specifically, we choose a multigame framework that incorporates games that exhibit transitive and cyclic dominance. By integrating appropriate models for transitive dominance and cyclic dominance, and through rigorous numerical simulations and analytical approaches, we explore evolutionary game dynamics under varying conditions. We show that, under specific conditions, communities can change from a linear hierarchy, or transitive dominance, to a cyclical structure, or cyclic dominance, which significantly affects ecosystem community structures. We also show that not only game-independent factors, but also intrinsic game parameters can drive a transition from transitive dominance to cyclic dominance. More precisely, we show how changes in the probability of game selection can lead to this transition. Moreover, we demonstrate that even benefits arising from free space can facilitate the shift from transitive to cyclic dominance. Our study thus explores the mechanisms that drive transitions between these dominance patterns and, in so doing, we underscore the importance of multiple game dynamics for accurately describing the intricacies of natural ecosystems.

Proceedings of the Royal Society A Mathematical Physical and Engineering SciencesVol. 481(2307)
University of Rome Tor Vergata (IT), Jadavpur University (IN), Kyung Hee University (KR), University of Maribor (SI), Complexity Science Hub (AT), University Clinical Centre Maribor (SI), Indian Statistical Institute (IN)
University Grants Commission
Openalex Percentile: Top 0%
Evolutionary Game Theory and Cooperation
50.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.