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Finite Time Blowup in a Realistic Food-Chain Model

DOI: 10.1155/2013/424062

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Abstract:

We investigate a realistic three-species food-chain model, with generalist top predator. The model based on a modified version of the Leslie-Gower scheme incorporates mutual interference in all the three populations and generalizes several other known models in the ecological literature. We show that the model exhibits finite time blowup in certain parameter range and for large enough initial data. This result implies that finite time blowup is possible in a large class of such three-species food-chain models. We propose a modification to the model and prove that the modified model has globally existing classical solutions, as well as a global attractor. We reconstruct the attractor using nonlinear time series analysis and show that it pssesses rich dynamics, including chaos in certain parameter regime, whilst avoiding blowup in any parameter regime. We also provide estimates on its fractal dimension as well as provide numerical simulations to visualise the spatiotemporal chaos. 1. Introduction Interaction networks in natural ecosystems can be visualized as consisting of simple units known as food chains or food webs that are made up of a number of species linked by trophic interaction [1]. A food chain model essentially comprises of the predator-prey relationship between interacting species in a given ecosystem [2]. In their seminal work [3], Hastings and Powell for the first time demonstrated that the evolution of species participating in a tritrophic relationship might be chaotic [3]. This led to a great deal of research activity in analyzing the dynamical behavior of food chain models. Upadhyay and Rai [4] provided a new example of a chaotic population system in a simple three-species food chain with Holling type II functional response. This model is different from the Hastings and Powell model, in that it considers a generalist top predator, one that can switch its food source, in the absence of its favorite prey. Letellier and Aziz-Alaoui [5] and Aziz-Alaoui [6] revisited the Upadhyay and Rai model and found that the chaotic dynamics is observed via sequences of period-doubling bifurcation of limit cycles which however suddenly break down and reverse giving rise to a sequence of period-halving bifurcation leading to limit cycles. Upadhyay in [7] next proposed a three-species food-chain model, by incorporating mutual interference, in the original model [4], thus generalizing the models in [3, 4, 8]. Parshad and Upadhyay [9] considered the diffusive form of the model proposed in [7]. Under certain restrictions on the parameter space, they proved

References

[1]  R. K. Upadhyay, “Observability of chaos and cycles in ecological systems: lessons from predator-prey models,” International Journal of Bifurcation and Chaos, vol. 19, no. 10, article 3169, 65 pages, 2009.
[2]  J. D. Murray, Mathematical Biology, Springer, New York, NY, USA, 1993.
[3]  A. Hastings and T. Powell, “Chaos in a three-species food chain,” Ecology, vol. 72, no. 3, pp. 896–903, 1991.
[4]  R. K. Upadhyay and V. Rai, “Why chaos is rarely observed in natural populations,” Chaos, Solitons and Fractals, vol. 8, no. 12, pp. 1933–1939, 1997.
[5]  C. Letellier and M. A. Aziz-Alaoui, “Analysis of the dynamics of a realistic ecological model,” Chaos, Solitons and Fractals, vol. 13, no. 1, pp. 95–107, 2002.
[6]  M. A. Aziz-Alaoui, “Study of a Leslie-Gower-type tritrophic population model,” Chaos, Solitons and Fractals, vol. 14, no. 8, pp. 1275–1293, 2002.
[7]  R. K. Upadhyay, “Chaotic dynamics in a three species aquatic population model with Holling type II functional response,” Nonlinear Analysis. Modelling and Control, vol. 13, no. 1, pp. 103–115, 2008.
[8]  R. K. Upadhyay, S. R. K. Iyengar, and V. Rai, “Chaos: an ecological reality?” International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, vol. 8, no. 6, pp. 1325–1333, 1998.
[9]  R. D. Parshad and R. K. Upadhyay, “Investigation of the long time dynamics of a diffusive three species aquatic model,” Dynamics of Partial Differential Equations, vol. 7, no. 3, pp. 217–244, 2010.
[10]  N. Kumari, “Pattern formation in spatially extended tritrophic food chain model systems: generalist versus specialist top predator,” ISRN Biomathematics, vol. 2013, Article ID 198185, 12 pages, 2013.
[11]  N. Mizoguchi, H. Ninomiya, and E. Yanagida, “Diffusion-induced blowup in a nonlinear parabolic system,” Journal of Dynamics and Differential Equations, vol. 10, no. 4, pp. 619–638, 1998.
[12]  J. Morgan, “On a question of blow-up for semilinear parabolic systems,” Differential and Integral Equations, vol. 3, pp. 973–978, 1990.
[13]  H. F. Weinberger, “An example of blowup produced by equal diffusions,” Journal of Differential Equations, vol. 154, no. 1, pp. 225–237, 1999.
[14]  H. A. Levine, “Role of critical exponents in blowup theorems,” SIAM Review, vol. 32, no. 2, pp. 262–288, 1990.
[15]  P. Souplet, “A note on Diffusion-induced blow up,” Journal of Dynamics and Differential Equations, vol. 19, no. 3, pp. 819–823, 2007.
[16]  R. Ferreira, A. De Pablo, F. Quirós, and J. D. Rossi, “The blow-up profile for a fast diffusion equation with a nonlinear boundary condition,” Rocky Mountain Journal of Mathematics, vol. 33, no. 1, pp. 123–146, 2003.
[17]  M. Chlebik and M. Fila, “On the blow-up rate for the heat equation with a nonlinear boundary condition,” Mathematical Methods in the Applied Sciences, vol. 23, pp. 1323–1330, 2000.
[18]  Z. Lin, “Blowup estimates for a mutualistic model in ecology,” Electronic Journal of Qualitative Theory of Differential Equations, vol. 8, no. 1, pp. 1–14, 2002.
[19]  G. Whitham, Linear and Nonlinear Waves, John Wiley & Sons, New York, NY, USA, 1974.
[20]  T. Hillen and K. J. Painter, “A user's guide to PDE models for chemotaxis,” Journal of Mathematical Biology, vol. 58, no. 1-2, pp. 183–217, 2009.
[21]  R. D. Parshad, A. Kasimov, and H. Abderrahmane, “Long time behavior and the Turing instability in a diffusive three species food chain model,” Under Review.
[22]  J. R. Beddington, “Mutual interference between parasites on predators and its effects on searching efficiency,” Journal of Animal Ecology, vol. 44, pp. 331–340, 1975.
[23]  L. H. Erbe and H. I. Freedman, “Modeling persistence and mutual interference among subpopulations of ecological communities,” Bulletin of Mathematical Biology, vol. 47, no. 2, pp. 295–304, 1985.
[24]  L. H. Erbe, H. I. Freedman, and V. S. H. Rao, “Three-species food-chain models with mutual interference and time delays,” Mathematical Biosciences, vol. 80, no. 1, pp. 57–80, 1986.
[25]  H. I. Freedman, “Stability analysis of a predator-prey system with mutual interference and density-dependent death rates,” Bulletin of Mathematical Biology, vol. 41, no. 1, pp. 67–78, 1979.
[26]  H. I. Freedman and V. Sree Hari Rao, “The trade-off between mutual interference and time lags in predator-prey systems,” Bulletin of Mathematical Biology, vol. 45, no. 6, pp. 991–1004, 1983.
[27]  M. P. Hassell, “Mutual interference between searching insect parasites,” Journal of Animal Ecology, vol. 40, pp. 473–486, 1971.
[28]  C. S. Holling, “The functional role of invertebrate predators to prey density,” Memoirs of the Entomological Society of Canada, vol. 45, pp. 3–60.
[29]  R. M. May, Stability and Complexity in Model Ecosystems, Princeton University Press, Princeton, NJ, USA, 2001.
[30]  L. Evans, Partial Differential Equations, vol. 19 of Graduate Studies in Mathematics, Springer, New York, NY, USA, 2nd edition, 1998.
[31]  C. V. Pao, Nonlinear Parabolic and Elliptic Equations, Plenum, New York, NY, USA, 1993.
[32]  R. Temam, Infinite Dimensional Dynamical Systems in Mechanics and Physics, vol. 68 of Applied Mathematical Sciences, Springer, New York, NY, USA, 2nd edition, 1997.
[33]  D. Henry, Geometric Theory of Semi-Linear Parabolic Equations, vol. 840 of Lecture Notes in Mathematics, Springer, New-York, NY, USA, 1984.
[34]  F. Takens and R. Mane, “Dynamical systems and turbulence,” in Warwick, R. Rand and L. S. Young, Eds., vol. 898 of Lecture Notes in Mathematics, Springer, Berlin, Germany, 1981.
[35]  R. K. Upadhyay, S. R. K. Iyengar, and V. Rai, “Stability and complexity in ecological systems,” Chaos, Solitons and Fractals, vol. 11, no. 4, pp. 533–542, 2000.
[36]  P. Grassberger and I. Procaccia, “Dimensions and entropies of strange attractors from a fluctuating dynamics approach,” Physica D, vol. 13, no. 1-2, pp. 34–54, 1984.
[37]  D. Lai and G. Chen, “Statistical analysis of lyapunov exponents from time series: a jacobian approach,” Mathematical and Computer Modelling, vol. 27, no. 7, pp. 1–9, 1998.
[38]  V. Rai and R. K. Upadhyay, “Chaotic population dynamics and biology of the top-predator,” Chaos, Solitons and Fractals, vol. 21, no. 5, pp. 1195–1204, 2004.

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