Bifurcation, chaos, multistability, and pattern formation of a discrete predator–prey model with Allee effect

This study constructs a discrete-time model featuring the Holling type II functional response to investigate how the Allee effect drives the appearance of both periodic and chaotic behaviors. Through rigorous algebraic analysis, it is demonstrated that Neimark-Sacker (NS) bifurcations occur when varying the Allee parameter n and the prey's intrinsic growth rate r within the positive quadrant. By applying the center manifold theorem and core results from bifurcation theory, a solid theoretical framework is established to track these qualitative changes. Extensive numerical simulations validate that the system undergoes a subcritical NS bifurcation as n and r change, marking a shift from stable equilibria into chaotic oscillations with increasing Allee intensity. Moreover, the model reveals the coexistence of periodic attractors of periods 11 and 34 over certain (n,r) pairs, underscoring how initial population levels critically shape long-term outcomes. A parallel analysis contrasts this Holling II formulation with its Holling type I analog. By varying the Allee threshold n, it becomes apparent that the type I system collapses at a lower Allee value than the type II system. This disparity suggests that predation saturation-a hallmark of Holling II-confers greater resilience under strong Allee effects. Finally, a comparative evaluation of both functional responses' advantages and limitations highlights the need for adaptive management strategies to preserve biodiversity and maintain ecological stability.

Authors

Institutions

Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2026-04-01
DOI
https://doi.org/10.1063/5.0302692
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bifurcation, chaos, multistability, and pattern formation of a discrete predator–prey model with Allee effect

Songhao Cai, Mainul Haque, Hongyang Che, Md. Jasim Uddin et al.
Chaos An Interdisciplinary Journal of Nonlinear Science
Mathematical and Theoretical Epidemiology and Ecology Models
article

Bifurcation, chaos, multistability, and pattern formation of a discrete predator–prey model with Allee effect

Songhao Cai, Mainul Haque, Hongyang Che, Md. Jasim Uddin, Duo Li, Xintong Jiang, Xuwei Fan, Jiatong Zhu
article en

Abstract

This study constructs a discrete-time model featuring the Holling type II functional response to investigate how the Allee effect drives the appearance of both periodic and chaotic behaviors. Through rigorous algebraic analysis, it is demonstrated that Neimark-Sacker (NS) bifurcations occur when varying the Allee parameter n and the prey's intrinsic growth rate r within the positive quadrant. By applying the center manifold theorem and core results from bifurcation theory, a solid theoretical framework is established to track these qualitative changes. Extensive numerical simulations validate that the system undergoes a subcritical NS bifurcation as n and r change, marking a shift from stable equilibria into chaotic oscillations with increasing Allee intensity. Moreover, the model reveals the coexistence of periodic attractors of periods 11 and 34 over certain (n,r) pairs, underscoring how initial population levels critically shape long-term outcomes. A parallel analysis contrasts this Holling II formulation with its Holling type I analog. By varying the Allee threshold n, it becomes apparent that the type I system collapses at a lower Allee value than the type II system. This disparity suggests that predation saturation-a hallmark of Holling II-confers greater resilience under strong Allee effects. Finally, a comparative evaluation of both functional responses' advantages and limitations highlights the need for adaptive management strategies to preserve biodiversity and maintain ecological stability.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 36(4)
University of Nottingham Ningbo China (CN), University of Dhaka (BD)
Life in Land
Openalex Percentile: Top 21%
Mathematical and Theoretical Epidemiology and Ecology Models
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.