Abstract
The present article deals with the intra-specific competition among predator populations of a prey-dependent three-component food chain model system consisting of two competitive preys and one predator. The behaviour of the system near the biologically feasible equilibria is thoroughly analysed. Boundedness and dissipativeness of the system are established. The stability analysis including local and global stability of the equilibria has been carried out in order to examine the behaviour of the system. The present system experiences Hopf–Andronov bifurcation for suitable choice of parameters. The results of this investigation reveal that the intra-specific competition among predator populations can be beneficial for the survival of predator. The ecological implications of both the analytical and the numerical findings are discussed at length towards the end.
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References
Lotka, A.J.: Elements of mathematical biology. Dover Publications, New York (1956)
May, R.M.: Stability and Complexity in Model Ecosystems, vol. 6. Princeton University Press, Princeton (2001)
Kot, M.: Elements of Mathematical Ecology. Cambridge University Press, Cambridge (2001)
Lv, S., Zhao, M.: The dynamic complexity of a three species food chain model. Chaos Solitons Fractals 37(5), 1469–1480 (2008)
Parrish, J.D., Saila, S.B.: Interspecific competition, predation and species diversity. J. Theor. Biol. 27(2), 207–220 (1970)
Paine, R.T.: The Pisaster-Tegula interaction: prey patches, predator food preference, and intertidal community structure. Am. Nat. 100, 65–75 (1966)
Cramer, N.F., May, R.M.: Interspecific competition, predation and species diversity: a comment. J. Theor. Biol. 34(2), 289–293 (1972)
Fujii, K.: Complexity–stability relationship of two-prey–one-predator species system model: local and global stability. J. Theor. Biol. 69(4), 613–623 (1977)
Hutson, V., Vickers, G.T.: A criterion for permanent coexistence of species, with an application to a two-prey one-predator system. Math. Biosci. 63(2), 253–269 (1983)
Feng, W.: Coexistence, stability, and limiting behavior in a one-predator–two-prey model. J. Math. Anal. Appl. 179(2), 592–609 (1993)
Nomdedeu, M.M., Willen, C., Schieffer, A., Arndt, H.: Temperature-dependent ranges of coexistence in a model of a two-prey-one-predator microbial food web. Mar. Biol. 159(11), 2423–2430 (2012)
Klebanoff, A., Hastings, A.: Chaos in one-predator, two-prey models: general results from bifurcation theory. Math. Biosci. 122(2), 221 (1994)
Liu, Z., Yuan, R.: Stability and bifurcation in a harvested one-predator–two-prey model with delays. Chaos Solitons Fractals 27(5), 1395–1407 (2006)
Baek, H.: Species extinction and permanence of an impulsively controlled two-prey one-predator system with seasonal effects. BioSystems 98(1), 7–18 (2009)
Liang, H., Liu, M., Song, M.: Extinction and permanence of the numerical solution of a two-prey one-predator system with impulsive effect. Int. J. Comput. Math. 88(6), 1305–1325 (2011)
Zhang, Y., Liu, B., Chen, L.: Extinction and permanence of a two-prey one-predator system with impulsive effect. Math. Med. Biol. 20(4), 309–325 (2003)
Kar, T.K., Chattopadhyay, S.K., Pati, C.K.: A bio-economic model of two-prey one-predator system. J. Appl. Math. Inform. 27(5–6), 1411–1427 (2009)
Kar, T.K., Ghorai, A.: Dynamic behaviour of a delayed predator–prey model with harvesting. Appl. Math. Comput. 217(22), 9085–9104 (2011)
Comissiong, D.M.G., Sooknanan, J., Bhatt, B.: Criminals treated as predators to be harvested: a two prey one predator model with group defense, prey migration and switching. J. Math. Res. 4(4), p92 (2012)
Xu, C., Li, P., Shao, Y.: Existence and global attractivity of positive periodic solutions for a Holling II two-prey one-predator system. Adv. Differ. Equ. 2012(1), 1–14 (2012)
Tripathi, J.P., Abbas, S., Thakur, M.: Local and global stability analysis of a two prey one predator model with help. Commun. Nonlinear Sci. Numer. Simul. 19(9), 3284–3297 (2014)
Elettreby, M.F.: Two-prey one-predator model. Chaos Solitons Fractals 39(5), 2018–2027 (2009)
Sharma, S., Samanta, G.P.: Dynamical behaviour of a two prey and one predator system. Differ. Equ. Dyn. Syst. 22(2), 125–145 (2014)
Leeuwen, E.V., Jansen, V.A.A., Bright, P.W.: How population dynamics shape the functional response in a one-predator-two-prey system. Ecology 88(6), 1571–1581 (2007)
Jost, C., Arino, O., Arditi, R.: About deterministic extinction in ratio-dependent predator–prey models. Bull. Math. Biol. 61(1), 19–32 (1999)
Birkhoff, G., Rota, G.C.: Ordinary Differential Equations. Ginn, Boston (1989)
Haque, M., Venturino, E.: An ecoepidemiological model with disease in predator: the ratio-dependent case. Math. Methods Appl. Sci. 30(14), 1791–1809 (2007)
Hale, J.K.: Ordinary Differential Equations. Wiley-Interscience, New York (1969)
Haque, M., Ali, N., Chakravarty, S.: Study of a tri-trophic prey-dependent food chainmodel of interacting populations. Math. Biosci. 246(1), 55–71 (2013)
Haque, M.: Ratio-dependent predator–prey models of interacting populations. Bull. Math. Biol. 71(2), 430–452 (2009)
Freedman, H.I.: Deterministic mathematical models in population ecology. Marcel dekker, inc (1980)
Fussmann, G.F., Ellner, S.P., Shertzer, K.W., Hairston Jr, N.G.: Crossing the hopf bifurcation in a live predator–prey system. Science 290(5495), 1358–1360 (2000)
Acknowledgments
The authors Mr. Nijamuddin Ali and Professor Santabrata Chakravarty gratefully acknowledge the financial support in part from Special Assistance Programme (SAP-II) sponsored by the University Grants Commission (UGC), New Delhi, India. They are thankful to the unanimous reviewers for making fruitful comments and suggestions in order to improve the quality of the work done.
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Appendix
A seventh degree equation has seven roots in the complex domain. For the sake of brevity, its coefficients are not written explicitly in view of their complexity. We now find sufficient conditions for it to have at least a positive root. Since the degree of the equation is odd, by Descartes’ rule of sign, we get a real root and correspondingly a linear factor of the equation. The seven-degree equation can then be factorized as
where p is to be determined. By equating coefficients of like powers of x on the left and the right, we find \(A_1+p=\frac{B_6}{B_7}\), \(A_2+pA_1=\frac{B_5}{B_7}\), \(A_3+pA_2=\frac{B_4}{B_7}\), \(A_4+pA_3=\frac{B_3}{B_7}\), \(A_5+pA_4=\frac{B_2}{B_7}\), \(A_6+pA_5=\frac{B_1}{B_7}\), \(pA_6=\frac{B_0}{B_7}\), from which we have \(p=\frac{B_0}{B_7A_6}\). One root of Eq. (6.1) is thus found as \(x_6=-p\). By imposing conditions \( p< 0\), we obtain \(x_6>0\). This ensures that the feasible coexistence equilibrium is unique.
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Ali, N., Chakravarty, S. Stability analysis of a food chain model consisting of two competitive preys and one predator. Nonlinear Dyn 82, 1303–1316 (2015). https://doi.org/10.1007/s11071-015-2239-2
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DOI: https://doi.org/10.1007/s11071-015-2239-2