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Journal of Applied Nonlinear Dynamics
Miguel A. F. Sanjuan (editor), Albert C.J. Luo (editor)
Miguel A. F. Sanjuan (editor)

Department of Physics, Universidad Rey Juan Carlos, 28933 Mostoles, Madrid, Spain

Email: miguel.sanjuan@urjc.es

Albert C.J. Luo (editor)

Department of Mechanical and Industrial Engineering, Southern Illinois University Ed-wardsville, IL 62026-1805, USA

Fax: +1 618 650 2555 Email: aluo@siue.edu


Effect of Predator Fear on the Dynamics of a Delayed Hassell-Varley Model with Nonlinear Prey Harvesting Effort using Imprecise Biological Parameters

Journal of Applied Nonlinear Dynamics 15(1) (2026) 197--217 | DOI:10.5890/JAND.2026.03.011

Aditya Bhattacharya, Anindita Bhattacharyya

Department of Mathematics, Amity University, Kolkata 700135, India

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Abstract

In this paper, we studied the dynamical behaviour of Hassell-Varley model in the presence of non-linear harvesting and Richards' growth in prey population by using imprecise biological parameters. Moreover, anti-predator behaviour and discrete time delay due to gestation or digestion of the species are considered in the model system. The positivity and boundedness of the system are studied and the criterion for the extinction of the predator-prey populations are discussed. The criterion for the co-existence of prey and predator, and their stability is studied analytically. In addition, the effect of fear factor on the dynamics of the system is studied. Moreover sufficient condition for the hopf bifurcation was noted under consideration of discrete time delay and for other different biological parameters. Numerical simulations are presented to validate the analytical results obtained and with the outcome the biological relevance of the model is discussed.

References

  1. [1]  Bush, R.R. and Mosteller, F. (2006), A mathematical model for simple learning, Selected Papers of Frederick Mosteller, 221-234, Springer: New York.
  2. [2]  Bavelas, A. (1948), A mathematical model for group structures, Applied Anthropology, 7(3), 16-30.
  3. [3]  Lotka, A.J. (1925), Elements of physical biology, Williams and Wilkins Co. Inc.: Baltimore.
  4. [4]  Volterra, V. (1926), Variazioni e fluttuazioni del numero d'individui in specie animali conviventi, Memorie della Accademia dei Lincei, 2(6), 31-33.
  5. [5]  Solomon, M.E. (1949), The natural control of animal populations, Journal of Animal Ecology, 18, 1-35.
  6. [6]  Zanette, L.Y. and Clinchy, M. (2019), Ecology of fear, Current Biology, 29(9), R309-R313.
  7. [7]  Brown, J.S., Laundré, J.W., and Gurung, M. (1999), The ecology of fear: optimal foraging, game theory, and trophic interactions, Journal of Mammalogy, 80, 385-399.
  8. [8]  Creel, S., Christianson, D., Liley, S., and Winnie, J.A. (2007), Predation risk affects reproductive physiology and demography of elk, Science, 315, 960.
  9. [9]  Lima, S. and Dill, L.M. (1990), Behavioral decisions made under the risk of predation: a review and prospectus, Canadian Journal of Zoology, 68, 619-640.
  10. [10]  Cook, W.I. and Streams, F.A. (1984), Fish predation on Notonecta: relationship between prey risk and habitat utilization, Oecologia, 64, 177-183.
  11. [11]  Preisser, E., Bolnick, D.I., and Benard, M.F. (2005), Scared to death? The effects of intimidation and consumption in predator-prey interactions, Ecology, 86, 501-509.
  12. [12]  Zanette, L.Y., White, A.F., Allen, M.C., and Clinchy, M. (2011), Perceived predation risk reduces the number of offspring songbirds produce per year, Science, 334, 1398-1401.
  13. [13]  Wang, X., Zanette, L., and Zou, X. (2016), Modelling the fear effect in predator-prey interactions, Journal of Mathematical Biology, 73, 1179-1204.
  14. [14]  Saha, S. and Samanta, G. (2021), Impact of fear in a prey-predator system with herd behaviour, Computational and Mathematical Biophysics, 9, 175-197.
  15. [15]  Mondal, A., Pal, A.K., and Samanta, G.P. (2023), Complex dynamics of two prey–one predator model together with fear effect and harvesting efforts in preys, Journal of Computational Mathematics and Data Science, 6, 100071. https://doi.org/10.1016/j.jcmds.2022.100071.
  16. [16]  Wang, Y., Shao, Y., and Chai, C. (2023), Dynamics of a predator-prey model with fear effects and gestation delays, AIMS Mathematics, 8(3), 7535-7559.
  17. [17]  Cosner, C., DeAngelis, D.L., Ault, J.S., and Olson, D.B. (1999), Effects of spatial grouping on the functional response of predators, Theoretical Population Biology, 56(1), 65-75.
  18. [18]  Beddington, J.R. (1975), Mutual interference between parasites or predators and its effect on searching efficiency, Journal of Animal Ecology, 44, 331-340.
  19. [19]  DeAngelis, D.L., Goldstein, R.A., and O'Neill, R.V. (1975), A model for trophic interaction, Ecology, 56, 881-892.
  20. [20]  Arditi, R. and Ginzburg, L.R. (1989), Coupling in predator-prey dynamics: ratio dependence, Journal of Theoretical Biology, 139, 311-326.
  21. [21]  Hassell, M.P. and Varley, G.C. (1969), New inductive population model for insect parasites and its bearing on biological control, Nature, 223, 1133-1137.
  22. [22]  Michaelis, L. and Menten, M.L. (1913), Kinetik der Invertinwirkung, Biochemische Zeitschrift, 49, 333-369.
  23. [23]  Holling, C.S. (1959), The components of predation as revealed by a study of small mammal predation of the European pine sawfly, Canadian Entomologist, 91, 293-320.
  24. [24]  Leard, B., Lewis, C., and Rebaza, J. (2008), Dynamics of ratio-dependent predator–prey models with non-constant harvesting, Discrete and Continuous Dynamical Systems Series S, 1(2), 303-315.
  25. [25]  Lenzini, P. and Rebaza, J. (2010), Non-constant predator harvesting on ratio-dependent predator–prey models, Applied Mathematical Sciences, 4(16), 791-803.
  26. [26]  Peng, G.J., Jiang, Y.L., and Li, C.P. (2009), Bifurcations of a Holling-type II predator–prey system with constant rate harvesting, International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 19, 2499-2514.
  27. [27]  Xiao, D. and Jennings, L. (2005), Bifurcations of a ratio-dependent predator prey system with constant rate harvesting, SIAM Journal on Applied Mathematics, 65, 737-753.
  28. [28]  Hu, D. and Cao, H. (2017), Stability and bifurcation analysis in a predator–prey system with Michaelis–Menten type predator harvesting, Nonlinear Analysis: Real World Applications, 33, 58-82.
  29. [29]  Gupta, R.P. and Chandra, P. (2013), Bifurcation analysis of modified Leslie–Gower predator–prey model with Michaelis–Menten type prey harvesting, Journal of Mathematical Analysis and Applications, 398(1), 278-295.
  30. [30]  Saha, S., Maiti, A., and Samanta, G.P. (2018), A Michaelis-Menten predator-prey model with strong Allee effect and disease in prey incorporating prey refuge, International Journal of Bifurcation and Chaos, 28(6), 1850073. https://doi.org/10.1142/S0218127418500736.
  31. [31]  Clark, C.W. and Mangel, M. (1979), Aggregation and fishery dynamics: a theoretic study of schooling and the purse seine tuna fisheries, Fishery Bulletin, 77(2), 317-337.
  32. [32]  Bertalanffy, L.V. (1938), A quantitative theory of organic growth, Human Biology, 10(2), 181-213.
  33. [33]  Verhulst, P.F. (1838), Notice sur la loi que la population suit dans son accroissement, Correspondance Mathématique et Physique, 10, 113-121.
  34. [34]  Richards, F.J. (1959), A flexible growth function for empirical use, Journal of Experimental Botany, 10(29), 290-300.
  35. [35]  Song, Y. and Wei, J. (2005), Local Hopf bifurcation and global periodic solutions in a delayed predator-prey system, Journal of Mathematical Analysis and Applications, 301(1), 1-21.
  36. [36]  Kar, T.K. and Ghorai, A. (2011), Dynamic behaviour of a delayed predator-prey model with harvesting, Applied Mathematics and Computation, 217, 9085-9104.
  37. [37]  Nindjina, A.F., Aziz-Alaoui, M.A., and Cadivel, M. (2006), Analysis of a predator-prey model with modified Leslie–Gower and Holling-type II schemes with time delay, Nonlinear Analysis: Real World Applications, 7, 1104-1118.
  38. [38]  Wang, Y., Wang, H., and Jiang, W. (2014), Hopf-transcritical bifurcation in toxic phytoplankton–zooplankton model with delay, Journal of Mathematical Analysis and Applications, 415(2), 574-594.
  39. [39]  Yafia, R., Adnani, F.E., and Alaoui, H.T. (2008), Limit cycle and numerical simulations for small and large delays in a predator-prey model with modified Leslie–Gower and Holling-type II schemes, Nonlinear Analysis: Real World Applications, 9, 2055-2067.
  40. [40]  Zhang, J.Z., Zhen, J., Yan, J., and Sun, G.Q. (2009), Stability and Hopf bifurcation in a delayed competition system, Nonlinear Analysis: Real World Applications, 70, 658-670.
  41. [41]  Wang, K. (2011), Periodic solutions to a delayed predator–prey model with Hassell–Varley type functional response, Nonlinear Analysis: Real World Applications, 12, 137-145.
  42. [42]  Xu, C. and Li, P. (2015), Oscillations for a delayed predator–prey model with Hassell–Varley-type functional response, Comptes Rendus Biologies, 338, 227-240.
  43. [43]  Pal, D., Mahaptra, G.S., and Samanta, G.P. (2013), Optimal harvesting of prey–predator system with interval biological parameters: a bioeconomic model, Mathematical Biosciences, 241(2), 181-187.
  44. [44]  Pal, A.K. (2021), Stability analysis of a delayed predator–prey model with nonlinear harvesting efforts using imprecise biological parameters, Zeitschrift für Naturforschung A, 76(10), 909-921.
  45. [45]  Pal, A.K. (2024), Controlling chaotic dynamics of a delayed Hassell–Varley type predator–prey model with non-linear harvesting efforts in prey by using imprecise biological parameters, Results in Control and Optimization, 14, 100361. https://doi.org/10.1016/j.rico.2023.100361.
  46. [46]  Murray, J.D. (1989), Mathematical Biology, Springer-Verlag: Berlin.
  47. [47]  Bhattacharyya, A., Mondal, A., Pal, A.K., and Singh, N. (2022), Dynamics of a prey-predator interaction with Hassell-Varley type functional response and harvesting of prey, Journal of Applied Mathematics and Informatics, 40(5-6), 1199-1215.