Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
research-article

Analysis of the Stability and Chaotic Dynamics of an Ecological Model

Published: 24 July 2024 Publication History

Abstract

Modelling has become an eminent tool in the study of ecological systems. Ecological modelling can help implement sustainable development, mathematical models, and system analysis that explain how ecological processes can promote the sustainable management of resources. In this paper, we also chose a four-dimensional discrete-time Lotka–Volterra ecological model and analyzed its dynamic behavior. In particular, we derived the parametric conditions for the existence of biologically feasible solutions and the stability of the fixed points. We also provided graphs to study the spectrum behavior of all fixed points. In addition, we have seen that when the intrinsic dynamics of the population exceed a certain threshold, the system bifurcates. This particular range of inherent population dynamics depends on the values of other biological parameters and the initial population. We proved that the instability of the model resulted in Neimark–Sacker and period-doubling bifurcations. To confirm these two types of bifurcation, we used bifurcation theory, and to find the direction of bifurcation, we used graphical results. Mainly, through novel periodic plots, we confirm the coexistence of the population and the possible equilibrium states. We apply Marotto’s theorem to verify the existence of chaos in the system. To control the chaos, we use a hybrid control feedback methodology. Finally, we provide numerical examples to illustrate our theoretical results. The outcomes of the numerical simulations show chaotic long-term behavior across an extensive range of parameters.

References

[1]
A. J. Lotka, Elements of Physical Biology, Williams and Wilkins, Philadelphia, PA, USA, 1925.
[2]
V. Volterra, Variations and Fluctuations in the Number of Individuals in Coexisting Animal Species, Printing Company, Ltd.” Leonardo da Vinci, Coimbatore, India, 1927.
[3]
M. A. Abbasi and Q. Din, “Under the influence of crowding effects: stability, bifurcation and chaos control for a discrete-time predator–prey model,” International Journal of Biomathematics, vol. 12, no. 04, 2019.
[4]
J. Dhar, H. Singh, and H. S. Bhatti, “Discrete-time dynamics of a system with crowding effect and predator partially dependent on prey,” Applied Mathematics and Computation, vol. 252, pp. 324–335, 2015.
[5]
C. S. Holling, “The functional response of predators to prey density and its role in mimicry and population regulation,” Memoirs of the Entomological Society of Canada, vol. 97, no. S45, pp. 5–60, 1965.
[6]
M. L. Rosenzweig and R. H. MacArthur, “Graphical representation and stability conditions of predator-prey interactions,” The American Naturalist, vol. 97, no. 895, pp. 209–223, 1963.
[7]
J. L. Bronstein, “Our current understanding of mutualism,” The Quarterly Review of Biology, vol. 69, no. 1, pp. 31–51, 1994.
[8]
V. Rai, M. Anand, and R. K. Upadhyay, “Trophic structure and dynamical complexity in simple ecological models,” Ecological Complexity, vol. 4, no. 4, pp. 212–222, 2007.
[9]
G. Buffoni, M. Groppi, and C. Soresina, “Dynamics of predator–prey models with a strong Allee effect on the prey and predator-dependent trophic functions,” Nonlinear Analysis: Real World Applications, vol. 30, pp. 143–169, 2016.
[10]
M. A. Abbasi and S. Samreen, “Analyzing multi-parameter bifurcation on a prey–predator model with the Allee effect and fear effect,” Chaos, Solitons and Fractals, vol. 180, no. 2024, 2024.
[11]
M. A. Abbasi, “Periodic behavior and dynamical analysis of a prey–predator model incorporating the Allee effect and fear effect,” The European Physical Journal Plus, vol. 139, no. 2, p. 113, 2024.
[12]
Y. Tian and H. M. Li, “The study of a predator-prey model with fear effect based on state-dependent harvesting strategy,” Complexity, vol. 2022, 19 pages, 2022.
[13]
K. Mokni and M. Ch-Chaoui, “A Darwinian Beverton–Holt model with immigration effect,” Mathematics and Computers in Simulation, vol. 217, pp. 244–261, 2024.
[14]
K. Mokni, M. Ch-Chaoui, B. Mondal, and U. Ghosh, “Rich dynamics of a discrete two dimensional predator–prey model using the NSFD scheme,” Mathematics and Computers in Simulation, 2023.
[15]
J. Ran and Y. Zhou, “A stochastic discrete fractional cournot duopoly game: modeling, stability, and optimal control,” Complexity, vol. 2024, 19 pages, 2024.
[16]
Y. Kang, D. Armbruster, and Y. Kuang, “Dynamics of a plant–herbivore model,” Journal of Biological Dynamics, vol. 2, no. 2, pp. 89–101, 2008.
[17]
S. Kartal, “Dynamics of a plant–herbivore model with differential–difference equations,” Cogent Mathematics, vol. 3, no. 1, 2016.
[18]
Y. Li, Z. Feng, R. Swihart, J. Bryant, and N. Huntly, “Modeling the impact of plant toxicity on plant–herbivore dynamics,” Journal of Dynamics and Differential Equations, vol. 18, no. 4, pp. 1021–1042, 2006.
[19]
R. Liu, Z. Feng, H. Zhu, and D. L. DeAngelis, “Bifurcation analysis of a plant–herbivore model with toxin-determined functional response,” Journal of Differential Equations, vol. 245, no. 2, pp. 442–467, 2008.
[20]
Q. Din, “Stability, bifurcation analysis and chaos control for a predator-prey system,” Journal of Vibration and Control, vol. 25, no. 3, pp. 612–626, 2019.
[21]
Q. Din, “Global behavior of a plant-herbivore model,” Advances in Difference Equations, vol. 12, 2015.
[22]
E. M. Elsayed and Q. Din, “Period-doubling and Neimark–Sacker bifurcations of plant–herbivore models,” Advances in Difference Equations, vol. 2019, no. 1, pp. 271–334, 2019.
[23]
Q. Din, “Global behavior of a host-parasitoid model under the constant refuge effect,” Applied Mathematical Modelling, vol. 40, no. 4, pp. 2815–2826, 2016.
[24]
Q. Din and M. Hussain, “Controlling chaos and Neimark–Sacker bifurcation in a host–parasitoid model,” Asian Journal of Control, vol. 21, no. 3, pp. 1202–1215, 2019.
[25]
Q. Din and U. Saeed, “Bifurcation analysis and chaos control in a host-parasitoid model,” Mathematical Methods in the Applied Sciences, vol. 40, no. 14, pp. 5391–5406, 2017.
[26]
Q. Din, “Complexity and chaos control in a discrete-time prey-predator model,” Communications in Nonlinear Science and Numerical Simulation, vol. 49, pp. 113–134, 2017.
[27]
Q. Din, “Global stability and Neimark-Sacker bifurcation of a host-parasitoid model,” International Journal of Systems Science, vol. 48, no. 6, pp. 1194–1202, 2017.
[28]
Q. Din, “Controlling chaos in a discrete-time prey-predator model with Allee effects,” International Journal of Dynamics and Control, vol. 6, no. 2, pp. 858–872, 2018.
[29]
M. S. Shabbir, Q. Din, M. Safeer, M. A. Khan, and K. Ahmad, “A dynamically consistent nonstandard finite difference scheme for a predator–prey model,” Advances in Difference Equations, vol. 2019, no. 1, pp. 381–417, 2019.
[30]
U. Saeed, I. Ali, and Q. Din, “Neimark–Sacker bifurcation and chaos control in discrete-time predator–prey model with parasites,” Nonlinear Dynamics, vol. 94, no. 4, pp. 2527–2536, 2018.
[31]
M. A. Abbasi, “Fixed points stability, bifurcation analysis, and chaos control of a Lotka-Volterra model with two predators and their prey,” International Journal of Biomathematics, vol. 17, no. 04, 2023.
[32]
M. Kot and W. M. Schaffer, “Discrete-time growth-dispersal models,” Mathematical Biosciences, vol. 80, no. 1, pp. 109–136, 1986.
[33]
C. Wu and J. A. Cui, “Permanence for a delayed discrete predator–prey model with prey dispersal,” International Journal of Biomathematics, vol. 2, no. 3, pp. 311–320, 2009.
[34]
F. Lutscher and S. V. Petrovskii, “The importance of census times in discrete-time growth-dispersal models,” Journal of Biological Dynamics, vol. 2, no. 1, pp. 55–63, 2008.
[35]
A. Ramanantoanina, C. Hui, and A. Ouhinou, “Effects of density-dependent dispersal behaviours on the speed and spatial patterns of range expansion in predator–prey metapopulations,” Ecological Modelling, vol. 222, no. 19, pp. 3524–3530, 2011.
[36]
A. A. Yakubu, “Searching predator and prey dominance in discrete predator-prey systems with dispersion,” SIAM Journal on Applied Mathematics, vol. 61, no. 3, pp. 870–888, 2000.
[37]
Z. Hu, Z. Teng, and L. Zhang, “Stability and bifurcation analysis in a discrete SIR epidemic model,” Mathematics and Computers in Simulation, vol. 97, pp. 80–93, 2014.
[38]
W. Du, J. Zhang, S. Qin, and J. Yu, “Bifurcation analysis in a discrete SIR epidemic model with the saturated contact rate and vertical transmission,” The Journal of Nonlinear Science and Applications, vol. 09, no. 06, pp. 4976–4989, 2016.
[39]
A. D’innocenzo, F. Paladini, and L. Renna, “A numerical investigation of discrete oscillating epidemic models,” Physica A: Statistical Mechanics and its Applications, vol. 364, pp. 497–512, 2006.
[40]
B. Dubey, P. Dubey, and U. S. Dubey, “Dynamics of an SIR model with nonlinear incidence and treatment rate,” Applications and Applied Mathematics: International Journal, vol. 10, no. 2, p. 5, 2015.
[41]
Q. Din, “Qualitative behavior of a discrete SIR epidemic model,” International Journal of Biomathematics, vol. 09, no. 06, 2016.
[42]
X. Fan, L. Wang, and Z. Teng, “Global dynamics for a class of discrete SEIRS epidemic models with general nonlinear incidence,” Advances in Difference Equations, vol. 2016, no. 1, pp. 123–220, 2016.
[43]
R. C. Rael, T. L. Vincent, and J. M. Cushing, “Competitive outcomes changed by evolution,” Journal of Biological Dynamics, vol. 5, no. 3, pp. 227–252, 2011.
[44]
G. Chen and Y. Shi, “Introduction to anti-control of discrete chaos: theory and applications,” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 364, no. 1846, pp. 2433–2447, 2006.
[45]
Q. Din, “Dynamics of a discrete Lotka-Volterra model,” Advances in Difference Equations, vol. 2013, pp. 95–13, 2013.
[46]
Q. Din, M. S. Shabbir, M. A. Khan, and K. Ahmad, “Bifurcation analysis and chaos control for a plant–herbivore model with weak predator functional response,” Journal of Biological Dynamics, vol. 13, no. 1, pp. 481–501, 2019.
[47]
K. Mokni, S. Elaydi, M. Ch-Chaoui, and A. Eladdadi, “Discrete evolutionary population models: a new approach,” Journal of Biological Dynamics, vol. 14, no. 1, pp. 454–478, 2020.
[48]
H. Lyu and P. G. Jablonski, “Four-dimensional discrete-time lotka-volterra models with an application to ecology,” 2012, https://arxiv.org/abs/1211.5861.
[49]
W. G. Kelley, A. C. Peterson, W. G. Kelley, and A. C. Peterson, “First-order differential equations,” The Theory of Differential Equations, vol. 52, pp. 1–22, 2010.
[50]
S. Eladyi, An Introduction to Difference Equations, Springer Science and Business Media, Berlin, Germany, 3rd edition, 2005.
[51]
A. M. Jimenez, C. Vara De Rey, and A. R. Torres, “Effect of parameter calculation in direct estimation of the lyapunov exponent in short time series,” Discrete Dynamics in Nature and Society, vol. 7, no. 1, pp. 41–52, 2002.
[52]
F. R. Marotto, “Snap-back repellers imply chaos in Rn,” Journal of Mathematical Analysis and Applications, vol. 63, no. 1, pp. 199–223, 1978.
[53]
F. R. Marotto, Introduction to Mathematical Modeling Using Discrete Dynamical Systems, Springer-Verlag New York, Inc, Heidelberg, Germany, 2006.
[54]
Y. Shi and G. Chen, “Discrete chaos in Banach spaces,” Science in China, Series A, vol. 48, no. 2, pp. 222–238, 2005.
[55]
Y. Shi and G. Chen, “Chaos of discrete dynamical systems in complete metric spaces,” Chaos, Solitons and Fractals, vol. 22, no. 3, pp. 555–571, 2004.
[56]
Y. Shi, P. Yu, and G. Chen, “Chaotification of discrete dynamical systems in Banach spaces,” International Journal of Bifurcation and Chaos, vol. 16, no. 09, pp. 2615–2636, 2006.
[57]
X. S. Luo, G. R. Chen, B. H. Wang, and J. Qing Fang, “Hybrid control of period-doubling bifurcation and chaos in discrete nonlinear dynamical systems,” Chaos, Solitons and Fractals, vol. 18, no. 4, pp. 775–783, 2003.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Complexity
Complexity  Volume 2024, Issue
2024
1521 pages
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Publisher

John Wiley & Sons, Inc.

United States

Publication History

Published: 24 July 2024

Qualifiers

  • Research-article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 0
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 12 Sep 2024

Other Metrics

Citations

View Options

View options

Get Access

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media