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author:

Huang, Yuting (Huang, Yuting.) [1] | He, Guangwen (He, Guangwen.) [2] | Chen, Fengde (Chen, Fengde.) [3]

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EI

Abstract:

Amensalism, a critical interspecific interaction where one species is harmed while the other remains un-affected, has been extensively modeled, yet the synergistic effects of behavioral adaptations like fear and refuge strategies remain underexplored. This study proposes an enhanced Lotka-Volterra amensalism model integrating fear-dependent refuge dynamics (modeled via a saturation function s(y)=smaxky) and 1+ky e bidirectional fear regulation (suppressing birth rate1and 1+k1 y enhancing mortality (1 + k2y)e2). Theoretical analysis reveals that sufficient refuge capacity (smax) enables the victim species to stabilize coexistence by mitigating amensalistic harm, while fear effects induce bifurcations through dual physiological-behavioral pathways. Numerical simulations demonstrate critical thresholds for extinction-persistence transitions, governed by smax/k synergies and fear coefficients k1, k2. Key findings include: (1) Refuge effects dominate in reducing direct harm, (2) Fear-refuge interactions destabilize equilibria under high stress, and (3) Global stability of the positive equilibrium ensures long-term coexistence if ∆ > 0. This work advances ecological theory by unifying behavioral adaptations into amensalism dynamics and offers actionable insights for biodiversity conservation, such as optimizing refuge resources to buffer species against anthropogenic stressors. © 2025, International Association of Engineers. All rights reserved.

Keyword:

Anthropogenic Behavioral research Biodiversity Conservation Dynamics Ecology System stability

Community:

  • [ 1 ] [Huang, Yuting]College of Mathematics and Statistics, Fuzhou University, Fuzhou, China
  • [ 2 ] [He, Guangwen]College of Mathematics and Statistics, Fuzhou University, Fuzhou, China
  • [ 3 ] [Chen, Fengde]College of Mathematics and Statistics, Fuzhou University, Fuzhou, China

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Source :

Engineering Letters

ISSN: 1816-093X

Year: 2025

Issue: 7

Volume: 33

Page: 2574-2588

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JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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