Complex dynamics of a discretized Rosenzweig–MacArthur prey-predator model with fear effect on prey and prey refuge

This work explores a discrete-time predator-prey system governed by a prey-dependent Rosenzweig–MacArthur response, incorporating the fear effect in prey dynamics. The study examines equilibrium properties and bifurcation mechanisms, particularly near the interior fixed point, highlighting their ecological significance. Various bifurcation types, including period-doubling and Neimark-Sacker, are identified, with precise conditions ensuring the latter's occurrence. To manage the system's intricate behavior, Ott-Grebogi-Yorke (OGY) and state feedback control are implemented. Numerical simulations reinforce theoretical findings through phase space reconstructions, Lyapunov exponent analysis, bifurcation diagrams, and local stability assessments, offering a comprehensive perspective on system transitions and control strategies.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025659
Citations
2
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
3.76
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article

Complex dynamics of a discretized Rosenzweig–MacArthur prey-predator model with fear effect on prey and prey refuge

Amer Alsulami, Ibraheem M. Alsulami, Md. Jasim Uddin, Md. Mutakabbir Khan
2 citations
AIMS Mathematics
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
article

Complex dynamics of a discretized Rosenzweig–MacArthur prey-predator model with fear effect on prey and prey refuge

Amer Alsulami, Ibraheem M. Alsulami, Md. Jasim Uddin, Md. Mutakabbir Khan
article en
2 citations

Abstract

This work explores a discrete-time predator-prey system governed by a prey-dependent Rosenzweig–MacArthur response, incorporating the fear effect in prey dynamics. The study examines equilibrium properties and bifurcation mechanisms, particularly near the interior fixed point, highlighting their ecological significance. Various bifurcation types, including period-doubling and Neimark-Sacker, are identified, with precise conditions ensuring the latter's occurrence. To manage the system's intricate behavior, Ott-Grebogi-Yorke (OGY) and state feedback control are implemented. Numerical simulations reinforce theoretical findings through phase space reconstructions, Lyapunov exponent analysis, bifurcation diagrams, and local stability assessments, offering a comprehensive perspective on system transitions and control strategies.

AIMS MathematicsVol. 10(6)
Taif University (SA), Umm al-Qura University (SA), University of Dhaka (BD)
Reduced inequalities
Openalex Percentile: Top 7%
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
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