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


Stationary Pattern in a Predator-Prey Model with Predator-Harvesting Policy

Discontinuity, Nonlinearity, and Complexity 12(2) (2023) 411--436 | DOI:10.5890/DNC.2023.06.013

$^1$ School of Mathematical Sciences, Anhui University, Hefei 230601, China

$^2$ College of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, China

Download Full Text PDF

 

Abstract

Stationary patterns in a predator-prey model with Holling-III functional response and harvesting policy are investigated in this work. For the proposed model, nonnegativity, uniformly boundedness, permanence, stability, the existence and direction of Hopf bifurcation are analyzed. For the spatial system, the existence conditions for the Turing instability are also established. Then using weakly nonlinear analysis, amplitude equations near critical values of the Turing instability are derived. Different kinds of solutions can be shown analytically by analyzing amplitude equations. Based on numerical analysis, the stationary patterns can be found, such as hexagonal patterns, stripe patterns and mixed states of hexagonal pattern and stripe pattern. Numerical simulations are well consistent with theoretical results. It is further noted that the behavior of harvesting is a factor for existence and stability of equilibria, the occurrence of the transcritical bifurcation, pattern formation and the permanence of the system.

References

  1. [1]  Hsu, S.B. and Huang, T.W. (1995), Global stability for a class of predator-prey systems, SIAM Journal on Applied Mathematics, 55, 763-783.
  2. [2]  Guan, X.N., Wang, W.M., and Cai, Y.L. (2011), Spatiotemporal dynamics of a Leslie-Gower predator-prey model incorporating a prey refuge, Nonlinear Analysis. Real World Applications, 12, 2385-2395.
  3. [3]  Camara, B.I. and Aziz-Alaoui, M.A. (2009), Turing and Hopf patterns formation in a predator-prey model with Leslie-Gower-type functional response, Dynamics of Continuous, Discrete \& Impulsive System. Series B., 16, 479-488.
  4. [4]  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.
  5. [5]  Holling, C.S. (1959), Some characteristics of simple types of predation and parasitism, Canadian Entomologist, 91, 385-398.
  6. [6]  Holling, C.S. (1965), The functional response of predator to prey density and its role in mimicry and population regulation, Memoirs of the Entomological Society of Canada, 97, 5-60.
  7. [7]  Ivlev V.S. (1961), Experimental Ecology of the Feeding of Fishes, Yale University Press: New Haven.
  8. [8]  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.
  9. [9]  Arditi, R. and Saiah, H. (1992), Empirical evidence of the role of the heterogeneity in ratio-dependent consumption, Ecology, 73, 1544-1551.
  10. [10]  Leslie, P.H. and Gower, J.C. (1960), The properties of a stochastic model for the predator-prey type of interaction between two species, Biometrika, 47, 219-234.
  11. [11]  Shi, H.B., Ruan, S., Su, Y., and Zhang, J.F. (2015), Spatiotemporal dynamics of a diffusive Leslie-Gower predator-prey model with ratio-dependent functional response, International Journal of Bifurcation and Chaos, 25, 1530014.
  12. [12]  Chang, X.Y. and Zhang, J.M. (2019), Dynamics of a diffusive Leslie-Gower predator-prey system with ratio-dependent Holling III functional response, Advances in Difference Equations, 76.
  13. [13]  Hu, G.P. and Feng, Z.S. (2020), Turing instability and pattern formation in a strongly coupled diffusive predator-prey system, International Journal of Bifurcation and Chaos, 30, 2030020.
  14. [14]  Chen, M.X., Wu, R.C., and Chen, L.P. (2020), Spatiotemporal pattern induced by Turing and Turing-Hopf bifurcations in a predator-prey system, Applied Mathematics and Compution, 380, 125300.
  15. [15]  Abid, W., Yafia, R., Aziz-Alaoui, M.A., and Aghriche, A. (2018), Turing instability and Hopf bifurcation in a modified Leslie-Gower predator-prey model with cross-diffusion, International Journal of Bifurcation and Chaos, 28, 1850089.
  16. [16]  Kar, T.K. and Ghosh, B. (2013), Impacts of maximum sustainable yield policy to prey-predator systems, Ecological Modeling, 250, 134-142.
  17. [17]  Huang, J.C., Gong, Y.J., and Ruan, S.G. (2013), Bifurcation analysis in a predator-prey model with constant-yield predator harvesting, Discrete and Continuous Dynamical Systems. Series B, 18, 2101-2121.
  18. [18]  Liu, C., Zhang, Q.L., and Zhang, Y. (2008), Bifurcation and control in a differential-algebraic harvested prey-predator model with stage structure for predator, Interantional Journal of Bifurcation and Chaos, 18, 3159-3168.
  19. [19]  Xiao, M. and Cao, J.D. (2009), Hopf bifurcation and non-hyperbolic equilibrium in a ratio-dependent predator-prey model with linear harvesting rate: Analysis and computation, Mathematical and Computer Modelling, 50, 360-379.
  20. [20]  Zhang, N., Chen, F., Su, Q., and Wu, T. (2011), Dynamic behaviors of a harvesting Leslie-Gower predator-prey model, Discrete Dynamics in Nature and Society, 2011, 473949.
  21. [21]  Zuo, W.Q., Ma, Zh.P., and Cheng, Zh.B. (2020), Spatiotemporal dynamics induced by Michaelis–Menten type prey harvesting in a diffusive Leslie–Gower predator–prey model, International Journal of Bifurcation and Chaos, 30, 2050204.
  22. [22]  Yavuz, M. and Sene, N. (2020), Stability analysis and numerical computation of the fractional predator–prey model with the harvesting rate, Fractal and Fractional, 4, 35.
  23. [23]  Turing, A.M. (1952), The chemical basis of morphogenesis, Philosophical Transacations of the Royal Society of London. Series B, 237, 37-72.
  24. [24]  Peng, Y.H. and Liu, Y.Y. (2016), Turing instability and Hopf bifurcation in a diffusive Leslie-Gower predator-prey model, Mathematical Methods in Applied Sciences, 39, 4158-4170.
  25. [25]  Han, R.J. and Dai, B.X. (2017), Cross-diffusion induced Turing instability and ampulitude equation for a toxic-phytoplankton-zooplankton model with nonmonotonic functional response, International Journal of Bifurcation and Chaos, 27(6), 1750088.
  26. [26]  Chen, M.X., Wu, R.C., and Chen, L.P. (2020), Pattern dynamics in a diffusive Gierer-Meinhardt Model, International Journal of Bifurcation and Chaos, 30, 2030035.
  27. [27]  Ghorai, S. and Poria, S. (2016), Turing patterns induced by cross-diffusion in a predator-prey system in presence of habitat complexity, Chaos, Soliton \& Fractals, 91, 421-429.
  28. [28]  Song, Y.L. and Tang, X.S. (2017), Stability, steady-state bifurcations, and Turing patterns in a predator-prey model with herd behavior and prey-taxis, Studies in Applied Mathematics, 139, 371-404.
  29. [29]  Wu, R., Shao, Y., Zhou, Y., and Chen, L. (2017), Turing and Hopf bifurcation of Gierer-Meinhardt activator-substrate model, Electronic Journal of Differential Equations, 2017, 1-19.
  30. [30]  Ouyang, Q. (2010), Nonlinear Science and Introduction of Pattern Dynamics, Beijing University Press: Beijing.
  31. [31]  Wiggins, S. (2003), Introduction to Applied Nonlinear Dynamical Systems and Chaos, Springer-Verlag: New York.