Mathematical Study of One Prey and Two Competing Predators Considering Beddington-DeAngelis Functional Response with Distributed Delay

Authors

  • Raveendra Babu Prestige Institute of Management and Research, Gwalior
  • Gayathri P.

DOI:

https://doi.org/10.62918/hjma.v2i1.14

Keywords:

prey-predator, stability, variational matrix, distributed delay

Abstract

A nonlinear prey predator model is suggested and discussed to analyze the one prey and two competing predators considering Beddington-DeAngelis functional response with distributed delay. The analysis of stability of models is executed and the sufficient controls and suitable rules have been discussed for populations with the Beddington-DeAngelis functional response with distributed delay. All the feasible equilibria are observed and carried out for the stability rules. In the study, it has been observed that without delay at certain level of values the system would be stable. Additionally, we have supported our analytical conclusions with numerical visualisations.

References

P. A. Abrams, L. R. Ginzburg, The nature of predation: prey dependent, ratiodependent or neither, Trends in Ecology and Evolution, 15 (2000), 337–341.

H. A. Adamu, Mathematical analysis of predator-prey model with two preys and one predator, International Journal of Engineering and Applied Sciences (IJEAS), 5(11) (2018), 17-23.

H. R. Akcakaya, R. Arditi, L.R. Ginzburg, Ratio-dependent prediction: an abstraction that works, Ecology, 76 (1995), 995–1004.

J. Alebraheem, Y. A. Hasan, Persistence of predators in a two predator- one prey model with non-periodic solution, Applied Mathematical Sciences, 6(19) (2012), 943-956.

R. Arditi, L. R. Ginzburg, Coupling in predator-prey dynamics:ratio-dependence, Journal of theoretical biology, 139}(1989), 311–326.

R. Arditi, L. R. Ginzburg, H.R. Akcakaya, Variation in plankton density among lakes: a case of ratio dependent models, American Naturalist, 138 (1991), 1287–1296.

R. Arditi, H. Saiah, Empirical evidence of the role of heterogeneity in ratiodependent consumption, Ecology, 73 (1992), 1544–1551.

M. Bani-Yaghoub, G. Yao, Modeling and Numerical Simulations of Single Species Dispersal in Symmetrical Domains, International Journal of Applied Mathematics, 27(6) (2014), 525–547.

M. Bani-Yaghoub, D.E. Amundsen, Oscillatory traveling waves for a population diffusion model with two age classes and nonlocality induced by maturation delay, Comput. Appl. Math., 34(1) (2015), 309–324.

M. Bani-Yaghoub, G. Yao, M. Fujiwara, D.E, Understanding the interplay between density dependent birth function and maturation time delay using a reaction-diffusion population model, Ecological Complexity, 21 (2015), 14–26.

M. Bani-Yaghoub, Approximating the traveling wavefront for a nonlocal delayed reaction-diffusion equation, Journal of Applied Mathematics and Computing, 53(1) (2017), 77–94.

A. A. Berryman, The origins and evolution of predator-prey theory, Ecology, 73 (1992), 1530–1535.

S. Chen, U. Dobramysh, U. C. Tauber, Evolutionary dynamics and competition stabilize three species predator prey communities, Ecological Complexity, 36 (2018), 57-72.

J. Dhar, A. K. Sharma, and S. Tegar, The role of delay in digestion of plankton by fish population: a fisher model, Journal of nonlinear science and its applications, 1(1) (2008), 13-19.

B. Dubey, R. K. Upadhyay, Persistence and extinction of one prey and two predators system, Non Linear analysis, modelling and control, 9(04) (2004), 307-329.

F. N. Egerton, History of the Ecological sciences: Animal population in Ecology, Bulletin of the Ecological society of America, Vol. 96 (2015), 560-626.

S. Gakhar, B. Singh, R. K. Naji, Dynamical behaviour of two predators competing over a single prey, Bio Systems, 90 (2007), 808-817.

S. B. Hsu, T. W. Hwang, Y. Kuang, Rich dynamics of a ratio-dependent one-prey two-predator model, J.Math. Biol., 43 (2001), 377-396.

S. Khare, O. P. Misra, C. Singh, and J. Dhar, Role of Delay on Planktonic Ecosystem in the Presence of a Toxic Producing Phytoplankton, International Journal of Differential Equations, 2011 (2011), 1-16.

W. Ko, I. Ahn, A diffusive one prey and two competing predator system with a ration dependent functional response, Journal of Mathematical Analysis and Application, 397 (2013).

A. L. Koch, Competitive coexistence of two predators utilizing the same prey under constant environmental conditions, J. Theoret. Biol., 44 (1974), 373-386.

A. Korobeininkov, G. C. Wake, Global properties of the three dimensional predator prey Lotka-Voltera system, Applied mathematics and decision science, 3(2) (1999), 155-162.

Y. Kuang, Delay Differential Equations with Applications in Population Dynamics, Academic Press, Inc.: SAn Diego, (1993).

H. Li, Y. Li, W. Yang, Existence and asymptotic behaviour of positive solutions for a one-prey and two competing predators system with diffusion, Nonlinear analysis; Real world application, 27 (2016), 261-282.

S. Liu, Asymptotical Behavior of Non autonomous Discrete Kolmogorov system with Time Lags, Hindawi Publishing Corporation Advances in Difference Equations, 19 (2010), 517378.

S. Liu, L. Chen, and R. P. Agarwal, Harmless and profitless delays in discrete competitive Lotka- Volterra systems, Applicable Analysis, 83(4) (2004), 411–431.

J. Llibre, P. Xiao, Global dynamics of a Lotka-Voltera model with two predators competing for one prey, Journal of Applied Mathematics, 74(2) (2014), 434-453.

Z. P. Ma, J. Yue, Competitive exclusion and co-existence of a delayed reaction diffusion system modelling two predators competing for one prey, Computers and mathematics with Application, 71(9) (2016), 1799-1817.

O. P. Misra, P. Sinha, C. Singh, Dynamics of one prey two predator systems with square root function response and time lag, International Journal of Biomathematics, 8(2) (2015), 1550029.

O. P. Misra and A. R. Babu, Modelling Effect of Toxicant in a Three-Species Food-Chain System Incorporating Delay in Toxicant Uptake Process by Prey, Modeling Earth Systems and Environment, Springer, 2:77 (2016), 1-27.

Y. Saito, W. Ma, and T.Hara, A necessary and sufficient condition for permanence of a Lotka-Volterra discrete system with delays, Journal of Mathematical Analysis and Applications, 256(1) (2001), 162–174.

S. Sarwardi, P. K. Mandal, S. Ray, Dynamical behaviour of a two predator model with prey refuge, Journal of Biological Physics, 39 (2013), 701-722.

Y. Shao and W. Kong, A Predator–Prey Model with Beddington–DeAngelis Functional Response and Multiple Delays in Deterministic and Stochastic Environments, Mathematics, 10(18) (2022), 1--25.

S. Tang and Y. Xiao, Permanence in Kolmogorov-type systems of delay difference equations, Journal of Difference Equations and Applications, 7(2) (2001), 167–181.

Y. Tang and L. Zhou, Great time delay in a system with material cycling and delayed biomass growth, IMA journal of applied mathematics, 70(2) (2005), 191-200.

Y. Tang and L. Zhou, Stability switch and Hopf bifurcation for a diffusive prey-predator system with delay, Journal of mathematical analysis and application, 334(2) (2007), 1290-1307.

J. P. Tripathi, S. Abbas, M. Thakur, A density dependent delayed predator-prey model with Beddington-DeAngelis type functional response incorporating a prey refuge, Communications in Nonlinear science and Numerical Simulation, 22 (2015), 427-450.

J. P. Tripathi, Debaldev Jana, and Vandana Tiwari, A Beddington-DeAngelis type one predator two prey competitive system with help, Nonlinear Dyn, (2018), 1-21.

N. Zhang, Y. Kao, B. Xie, Impact of fear effect and prey refuge on a fractional order prey–predator system with Beddington–DeAngelis functional response, Chaos, 32 (2022), 043125.

Downloads

Published

13-11-2023

How to Cite

Babu, R., & Gayathri P. (2023). Mathematical Study of One Prey and Two Competing Predators Considering Beddington-DeAngelis Functional Response with Distributed Delay. Hilbert Journal of Mathematical Analysis, 2(1), 001–019. https://doi.org/10.62918/hjma.v2i1.14