Skip Navigation Links
Discontinuity, Nonlinearity, and Complexity

Dimitry Volchenkov (editor), Dumitru Baleanu (editor)

Dimitry Volchenkov(editor)

Mathematics & Statistics, Texas Tech University, 1108 Memorial Circle, Lubbock, TX 79409, USA

Email: dr.volchenkov@gmail.com

Dumitru Baleanu (editor)

Cankaya University, Ankara, Turkey; Institute of Space Sciences, Magurele-Bucharest, Romania

Email: dumitru.baleanu@gmail.com


Dynamics of a Stage Structured Predator-prey Model with Fear Effects

Discontinuity, Nonlinearity, and Complexity 11(4) (2022) 651--669 | DOI:10.5890/DNC.2022.12.007

Prabir Panja

Department of Applied Science, Haldia Institute of Technology, Purba Midnapore-721657, W.B., India

Download Full Text PDF

 

Abstract

In this article, a predator-prey model has been developed incorporating two important factors, namely, the fear factor and the stage structure on both species. It is considered that the growth rate of the prey population is suppressed due to the fear of adult predators. Two separate compartments such as prey and dead prey of prey population have been considered. Also, predator population has been classified into three subpopulations such as suckling in predator population, juvenile and adult predator population. Different possible biologically meaningful equilibrium points are evaluated. Local stability of our proposed system around these equilibrium points has been investigated. Global stability of the interior equilibrium point has also been studied. Hopf bifurcation analysis of the system around the interior equilibrium point with respect to fear factor $(k)$ has been investigated. Direction and stability of Hopf bifurcation are also investigated. It is found that the fear factor has the ability to stabilize the system. It is also found that the higher rate of consumption of dead prey by juvenile and adult predator may make the system unstable. Again, it is also found that the rate of transfer of predator from suckling stage to juvenile stage can change the system dynamics. Some numerical simulation results are presented to validate analytical findings.

References

  1. [1]  Mishra, P., Raw, S.N., and Tiwari, B. (2019), Study of a Leslie-Gower predator-prey model with prey defense and mutual interference of predators, Chaos, Solitons \& Fractals, 120, 1-16.
  2. [2]  Sahoo, B. and Poria, S. (2019), Dynamics of predator-prey system with fading memory, Applied Mathematics and Computation, 347, 319-333.
  3. [3]  Manna, D., Maiti, A., and Samanta, G.P. (2018), Analysis of a predator-prey model for exploited fish populations with schooling behavior, Applied Mathematics and Computation, 317, 35-48.
  4. [4]  Lv, Y., Pei, Y., and Wang, Y. (2019), Bifurcations and simulations of two predator-prey models with nonlinear harvesting, Chaos, Solitons \& Fractals, 120, 158-170.
  5. [5]  Yang, W. (2018), Analysis on existence of bifurcation solutions for a predator-prey model with herd behavior, Applied Mathematical Modelling, 53, 433-446.
  6. [6]  Panja, P. and Mondal, S.K. (2015), Stability analysis of coexistence of three species prey-predator model, Nonlinear Dynamics, 81, 373-382.
  7. [7]  Panja, P., Mondal, S.K., and Jana, D.K. (2017), Effects of toxicants on Phytoplankton-Zooplankton-Fish dynamics and harvesting, Chaos, Solitons \& Fractals, 104, 389-399.
  8. [8]  Panja, P., Poria, S., and Mondal, S.K. (2018), Analysis of a harvested tritrophic food chain model in the presence of additional food for top predator, International Journal of Biomathematics, 11, 1850059.
  9. [9]  Mortoja, Sk. G., Panja, P., and Mondal, S.K. (2018), Dynamics of a predator-prey model with stage-structure on both species and anti-predator behavior, Informatics and Medicine Unlocked, 10, 50-57.
  10. [10]  Mortoja, Sk.G., Panja, P., and Mondal, S.K. (2019), Dynamics of a predator-prey model with nonlinear incidence rate, Crowley-Martin type functional response and disease in prey population, Ecological Genetics and Genomics, 10, 100035.
  11. [11]  Panja, P. (2019), Stability and dynamics of a fractional-order three-species predator-prey model, Theory in Biosciences, 138, 251-259.
  12. [12]  Panja, P. (2019), Dynamics of a fractional order predator-prey model with intraguild predation, International Journal of Modelling and Simulation, 39, 256-268.
  13. [13]  Panja, P., Jana, S., and Mondal, S.K. (2019), Effects of additional food on the dynamics of a three species food chain model incorporating refuge and harvesting, International Journal of Nonlinear Science and Numerical Simulation, 20, 787-801.
  14. [14]  Mortoja, Sk.G., Panja, P., Paul, A., Bhattacharya, S., and Mondal, S.K. (2020), Is the intermediate predator a key regulator of a tri-trophic food chain model?: An illustration through a new functional response, Chaos, Solitons \& Fractals, 132, 109613.
  15. [15]  Zhang, F., Chen, Y., and Li, J. (2019), Dynamical analysis of a stage-structured predator-prey model with cannibalism, Mathematical Biosciences, 307, 33-41.
  16. [16]  Lu, Y., Pawelek, K.A., and Liu, S. (2017), A stage-structured predator-prey model with predation over juvenile prey, Applied Mathematics and Computation, 297, 115-130.
  17. [17]  Khajanchi, S. and Banerjee, S. (2017), Role of constant prey refuge on stage structure predator-prey model with ratio dependent functional response, Applied Mathematics and Computation, 314, 193-198.
  18. [18]  Patra Maiti, A., Dubey, B., and Chakraborty, A. (2019), Global analysis of a delayed stage structure prey-predator model with Crowley-Martin type functional response, Mathematics and Computers in Simulation, 162, 58-84.
  19. [19]  Falconi, M., Huenchucona, M., and Vidal, C. (2015), Stability and global dynamic of a stage-structured predator-prey model with group defense mechanism of the prey, Applied Mathematics and Computation, 270, 47-61.
  20. [20]  Khajanchi, S. (2014), Dynamic behavior of a Beddington-DeAngelis type stage structured predator-prey model, Applied Mathematics and Computation, 244, 344-360.
  21. [21]  Misra, O.P., Sinha, P., and Singh, C. (2013), Stability and bifurcation analysis of a prey-predator model with age based predation, Applied Mathematical Modelling, 37, 6519-6529.
  22. [22]  Khajanchi, S. (2017), Modeling the dynamics of stage-structure predator-prey system with Monod-Haldane type response function, Applied Mathematics and Computation, 302, 122-143.
  23. [23]  Cai, L., Yu, J., and Zhu, G. (2008), A stage-structured predator-prey model with Beddington-DeAngelis functional response, Journal of Applied Mathematics and Computing, 26, 85-103.
  24. [24]  Wei, F. and Fu, Q. (2016), Hopf bifurcation and stability for predator-prey systems with Beddington-DeAngelis type functional response and stage structure for prey incorporating refuge, Applied Mathematical Modelling, 40, 126-134.
  25. [25]  Liu, M. and Wang, K. (2011), Global stability of stage-structured predator-prey models with Beddington-DeAngelis functional response, Communications in Nonlinear Science and Numerical Simulation, 16, 3792-3797.
  26. [26]  Xia, Y., Cao, J., and Cheng, S.S. (2007), Multiple periodic solutions of a delayed stage-structured predator-prey model with non-monotone functional responses, Applied Mathematical Modelling, 31, 1947-1959.
  27. [27]  Creel, S. and Christianson, D. (2008), Relationships between direct predation and risk effects, Trends in Ecology \& Evolution, 23, 194-201.
  28. [28]  Cresswell, W. (2011), Predation in bird populations, Journal of Ornithology, 152, 251-263.
  29. [29]  Peacor, S.D., Peckarsky, B.L., Trussell, G.C., and Vonesh, J.R. (2013), Costs of predator-induced phenotypic plasticity: a graphical model for predicting the contibution of nonconsumptive and consumptive effects of predators on prey, Oecologia, 171, 1-10.
  30. [30]  Preisser, E.L. and Bolnick, D.I. (2008), The many faces of fear:comparing the pathways and impacts of nonconsumptive predator effects on prey populations, Plos One, 3, e2465.
  31. [31]  Pettorelli, N., Coulson, T., Durant, S.M., and Gaillard, J.M. (2011), Predation, individual variability and vertebrate population dynamics, Oecologia, 167, 305-314.
  32. [32]  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.
  33. [33]  Clinchy, H., Cai, Y., Fu, S., and Wang, W. (2019), Impact of the fear effect in a prey-predator model incorporating a prey refuge, Applied Mathematics and Computation, 356, 328-337.
  34. [34]  Ghosh, I., Tiwari, P.K., Samanta, S., Elmojtaba, I.M., Al-Salti, N., and Chattopadhyay, J. (2018), A simple SI-type model for HIV/AIDS with media and self-imposed psychological fear, Mathematical Biosciences, 306, 160-169.
  35. [35]  Sha, A., Samanta, S., Martcheva, M., and Chattopadhyay, J. (2019), Backward bifurcation, oscillations and chaos in an eco-epidemiological model with fear effect, Journal of Biological Dynamics, 13, 301-327.
  36. [36]  Sasmal, S.K. (2018), Population dynamics with multiple Allee effects induced by fear factors-A mathematical study on prey-predator interactions, Applied Mathematical Modelling, 64, 1-14.
  37. [37]  Wang, X., Zanette, L., and Zou, X. (2016), Modelling the fear effect in predator-prey interactions, Journal Mathematical Biology, 73, 1179-1204.
  38. [38]  Wang, X. and Zou, X. (2017), Modeling the fear effect in predator-prey interactions with adaptive avoidance of predators, Bulletin of Mathematical Biology, 79, 1325-1359.
  39. [39]  Mondal, S., Maiti, A., and Samanta, G.P. (2018), Effects of fear and additional food in a delayed predator-prey model, Biophysical Reviews and Letters, 13, 157-177.
  40. [40]  Kumar, S., Kumar, R., Cattani, C., and Samet, B. (2020), Chaotic behaviour of fractional predator-prey dynamical system, Chaos, Solitons \& Fractals, 135, 109811.
  41. [41]  Kumar, S., Kumar, R., Agarwal, R.P., and Samet, B. (2020), A study of fractional Lotka-Volterra population model using Haar wavelet and Adams-Bashforth-Moulton methods, Mathematical Methods in the Applied Sciences, 43, 5564-5578.
  42. [42]  Kumar, S., Kumar, A., and Odibat, Z.M. (2017), A nonlinear fractional model to describe the population dynamics of two interacting species, Mathematical Methods in the Applied Sciences, 40, 4134-4148.
  43. [43]  Ghanbari, B., Kumar, S., and Kumar, R. (2020), A study of behaviour for immune and tumor cells in immunogenetic tumour model with non-singular fractional derivative, Chaos, Solitons \& Fractals, 133, 109619.
  44. [44]  Kumar, S., Kumar, R., Singh, J., Nisar, K.S., and Kumar, D. (2020), An efficient numerical scheme for fractional model of HIV-1 infection of CD4$^{+}$ T-cells with the effect of antiviral drug therapy, Alexandria Engineering Journal, 59, 2053-2064.
  45. [45]  Kumar, S., Ahmadian, A., Kumar, R., Kumar, D., Singh, J., Baleanu, D., and Salimi, M. (2020), An Efficient Numerical Method for Fractional SIR Epidemic Model of Infectious Disease by Using Bernstein Wavelets, Mathematics, 8, 558.
  46. [46]  Singh, J., Kumar, D., and Kumar, S. (2020), An efficient computational method for local fractional transport equation occurring in fractal porous media, Computational and Applied Mathematics, 39, https://doi.org/10.1007/s40314-020-01162-2.
  47. [47]  Bansal, M.K., Lal, S., Kumar, D., Kumar, S., and Singh, J. (2020), Fractional differential equation pertaining to an integral operator involving incomplete H-function in the kernel, Mathematical Methods in the Applied Sciences, 1, https://doi.org/10.1002/mma.6670.
  48. [48]  Kumar, D., Singh, J., Kumar, S., Sushila, S., and Singh, B.P. (2015), Numerical computation of nonlinear shock wave equation of fractional order, Ain Shams Engineering Journal, 6, 605-611.
  49. [49]  Singh, J., Kumar, D., Swroop, R., and Kumar, S. (2018), An efficient computational approach for time-fractional Rosenau-Hyman equation, Neural Computing and Applications, 30, 3063-3070.
  50. [50]  Birkhoff, G. and Rota, G.C. (1982), Ordinray differential equations, Ginn Boston.
  51. [51]  Hassard, B.D., Kazarinoff, N.D., and Wan, Y.H. (1981), Theory and Application of Hopf Bifurcation, London Mathematical Society Lecture Note Series, vol. 41, Cambridge University Press.