Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

1.60

CiteScore

Divya B1 and Kavitha K2This email address is being protected from spambots. You need JavaScript enabled to view it.

1Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India

2Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India


 

 

Received: October 10, 2023
Accepted: January 1, 2024
Publication Date: March 23, 2024

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202501_28(1).0010  


In this article, we investigate a three-species ecosystem including prey(x), predator(y) and super predator (z) in a linear food chain model. Depending on these three species, we created three different models which are based on the Lotka-Volterra Model. Differential equations are used to determine the interaction between these species. The predator chases prey, and the super predator hunts the predator because the model of these systems is linear. Additionally, we include Holling-type functional responses, such as Holling type I for model I and Holling type II for both models II and III. In all these models the Prey has a logistic growth. The existence of the possible equilibrium points has been identified. The Variational matrix method is used to examine the dynamic behavior of these models. Further, the stability of these models is carried out using the Descartes rule. Computational simulations are used to demonstrate analytic results using Matlab software. The behavior of these models is visualised around the equilibrium point. These model phase diagrams are also obtained.


Keywords: Equilibrium Points; Functional Response; Logistic Growth; Stability Analysis; Three Species Model; Variational Matrix.


  1. 1] J. Kapur. Mathematical Models in Biology and Medicine. Affiliated East-West Press, 1985.
  2. [2] J. Kapur. Mathematical Modelling. Wiley, 1988.
  3. [3] M. Kot. Elements of mathematical ecology. Cambridge University Press, 2001.
  4. [4] A. J. Lotka. Elements of physical biology. Williams & Wilkins, 1925.
  5. [5] V. Volterra. Variazioni e fluttuazioni del numero d’individui in specie animali conviventi. 2. Societá anonima tipografica" Leonardo da Vinci", 1927.
  6. [6] G. Ledder. Differential equations: a modeling approach. McGraw-Hill Higher Education, 2005.
  7. [7] J. D. Murray, (2002) “Mathematical biology: I. An introduction. Interdisciplinary applied mathematics" Mathematical Biology, Springer 17: DOI: 10.1007/b98868.
  8. [8] F. Verhulst. Nonlinear differential equations and dynamical systems. Springer Science & Business Media, 2006. DOI: 10.1007/978-3-642-61453-8.
  9. [9] E. Chauvet, J. E. Paullet, J. P. Previte, and Z. Walls, (2002) “A Lotka-Volterra three-species food chain" Mathematics magazine 75(4): 243–255. DOI: 10.1080/0025570X.2002.11953139.
  10. [10] M. Mamat, W. M. Sanjaya, Z. Salleh, and M. Ahmad, (2011) “Numerical simulation dynamical model of threespecies food chain with lotka-volterra linear functional response" Journal of Sustainability Science and Management 6(1): 44–50.
  11. [11] I. Mohd and M. M. Noor, (2011) “Numerical simulation dynamical model of three species food chain with Holling Type-II functional response" Malayasian Journal of Mathematical Sciences 5(1): 1–12.
  12. [12] M. S. W. Sunaryo, Z. Salleh, and M. Mamat, (2013) “Mathematical model of three species food chain with Holling type-III functional response" Int J Pure Appl Math 89(5): 647–657. DOI: 10.12732/ijpam.v89i5.1.
  13. [13] M. S. Ws, I. B. Mohd, M. Mamat, and Z. Salleh. “Mathematical model of three species food chain interaction with mixed functional response”. In: International Journal of Modern Physics: Conference Series. 9. World Scientific. 2012, 334–340. DOI: 10.1142/S2010194512005399.
  14. [14] C. S. Holling, (1959) “Some characteristics of simple types of predation and parasitism1" The canadian entomologist 91(7): 385–398. DOI: 10.4039/Ent91385-7.
  15. [15] P. Jha and S. Ghorai, (2017) “Stability of prey-predator model with Holling type response function and selective harvesting" Journal of Applied & Computational Mathematics 6(3): 1–7. DOI: 10.4172/2168-9679.1000358.
  16. [16] H. Boudjellaba and T. Sari, (1998) “Oscillations in a prey-predator-superpredator system" Journal of Biological Systems 6(1): 17–33. DOI: 10.1142/S0218339098000066.
  17. [17] Y. Do, H. Baek, Y. Lim, D. Lim, et al. “A three-species food chain system with two types of functional responses”. In: Abstract and Applied Analysis. 2011. Hindawi. 2011. DOI: 10.1155/2011/934569.
  18. [18] H. I. Freedman and P. Waltman, (1977) “Mathematical analysis of some three-species food-chain models" Mathematical Biosciences 33(3-4): 257–276. DOI: 10.1016/0025-5564(77)90142-0.
  19. [19] A. Hastings and T. Powell, (1991) “Chaos in a threespecies food chain" Ecology 72(3): 896–903. DOI: 10.2307/1940591.
  20. [20] A. Klebanoff and A. Hastings, (1994) “Chaos in three species food chains" Journal of Mathematical Biology 32: 427–451. DOI: 10.1007/BF00160167.
  21. [21] S. Djilali and B. Ghanbari, (2021) “Dynamical behavior of two predators–one prey model with generalized functional response and time-fractional derivative" Advances in difference Equations 2021(1): 1–19. DOI: 10.1186/s13662-021-03395-9.
  22. [22] U. Ghosh, S. Sarkar, and B. Mondal, (2021) “Study of stability and bifurcation of three species food chain model with non-monotone functional response" International Journal of Applied and Computational Mathematics 7: 1–24. DOI: 10.1007/s40819-021-01017-2.
  23. [23] S. Mishra and R. K. Upadhyay, (2021) “Exploring the cascading effect of fear on the foraging activities of prey in a three species Agroecosystem" The European Physical Journal Plus 136: 1–36. DOI: 10.1140/epjp/s13360- 021-01936-5.
  24. [24] A. Khan, S. Qureshi, and A. Alotaibi, (2022) “Bifurcation analysis of a three species discrete-time predator-prey model" Alexandria Engineering Journal 61(10): 7853– 7875. DOI: 10.1016/j.aej.2021.12.068.
  25. [25] N. Sk, P. K. Tiwari, and S. Pal, (2022) “A delay nonautonomous model for the impacts of fear and refuge in a three species food chain model with hunting cooperation" Mathematics and Computers in Simulation 192: 136–166. DOI: 10.1016/j.matcom.2021.08.018.
  26. [26] A. Q. Khan, S. S. Kazmi, and T. D. Alharbi, (2023) “Bifurcations of a three-species prey-predator system with scavenger" Ain Shams Engineering Journal 14(11): 102514. DOI: 10.1016/j.asej.2023.102514.
  27. [27] A. Q. Khan and S. S. Kazmi, (2024) “Dynamical analysis of a three-species discrete biological system with scavenger" Journal of Computational and Applied Mathematics 440: 115644. DOI: 10.1016/j.cam.2023.115644.
  28. [28] R. A. Dakhil and S. J. Majeed, (2023) “Three-Species Lotka-Volterra Food Chain Model with Fear Effect and Hunting Cooperation" University of Thi-Qar Journal 18(1): DOI: 10.32792/utq/utj/vol18/1/2.
  29. [29] A. F. Diana, W. Widowati, and R. H. Tjahjana. “Stability analysis of Lotka Volterra model for three species with disease”. In: AIP Conference Proceedings. 2738. 1. AIP Publishing. 2023. DOI: 10.1063/5.0140161.
  30. [30] J. Danane and D. F. Torres, (2023) “Three-Species Predator–Prey Stochastic Delayed Model Driven by Lévy Jumps and with Cooperation Among Prey Species" Mathematics 11(7): 1595. DOI: 10.3390/math11071595.