Fear Effect in a Tri-Trophic Food Chain Model with Holling Type IV Functional Response

Author(s):  
Krishnendu Sarkar ◽  
Nijamuddin Ali ◽  
Lakshmi Narayan Guin
2017 ◽  
Vol 40 (16) ◽  
pp. 5707-5726 ◽  
Author(s):  
Rana D. Parshad ◽  
Ranjit Kumar Upadhyay ◽  
Swati Mishra ◽  
Satish Kumar Tiwari ◽  
Swarnali Sharma

2021 ◽  
Author(s):  
Surajit Debnath ◽  
Prahlad Majumdar ◽  
Susmita Sarkar ◽  
Uttam Ghosh

Abstract The most important fact in the field of theoretical ecology and evolutionary biology is the strategy of predation for predators and the avoidance of prey from predator attack. A lot of experimental works suggest that the reduction of prey depends on both direct predation and fear of predation. We explore the impact of fear effect and mutual interference into a three-species food chain model. In this manuscript, we have considered a tri-topic food web model with Beddington-DeAngelis functional response between interacting species, incorporating the reduction of prey and intermediate predator growth because of the fear of intermediate and top predator respectively. We have provided parametric conditions on the existence of biologically feasible equilibria as well as their local and global stability also. We have established conditions of transcritical, saddle-node and Hopf bifurcation in vicinity of different equilibria. Finally, we performed some numerical investigations to justify analytical findings.Mathematics Subject Classification : 39A30, 92D25, 92D50.


2018 ◽  
Vol 41 (16) ◽  
pp. 6683-6701 ◽  
Author(s):  
Gamaliel Blé ◽  
Víctor Castellanos ◽  
Miguel A. Dela-Rosa

2006 ◽  
Vol 14 (03) ◽  
pp. 387-412 ◽  
Author(s):  
ALAKES MAITI ◽  
G. P. SAMANTA

Complex dynamics of a tritrophic food chain model is discussed in this paper. The model is composed of a logistic prey, a classical Lotka-Volterra functional response for prey-predator and a ratio-dependent functional response for predator-superpredator. Dynamical behaviors such as boundedness, stability and bifurcation of the model are studied critically. The effect of discrete time-delay on the model is investigated. Computer simulation of various solutions is presented to illustrate our mathematical findings. How these ideas illuminate some of the observed properties of real populations in the field is discussed and practical implications are explored.


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