Investigating the role of fear and top predator interference on the spatio-temporal dynamics of food chain model

Main Article Content

Ranjit Kumar Upadhyay

Abstract

In this paper, attempt has been made to grasp the idea about the role of fear effect of intermediate specialist predator on prey and the effect of the top predator interference in the spatial framework of a three species food chain model. By introducing a hybrid model and assuming that the interaction between prey and intermediate predator obeys the Volterra  scheme, whereas Beddington-DeAngelis (BD) type functional response is taken in between the top predator and its favorite food.  The stability properties of each equilibrium point of the temporal model system, blow up in finite time for both temporal and spatial systems corresponding to a large initial data are established. We pay attention to illustrate different types of patterns around the neighbourhood of a critical parameter. Choosing appropriate control parameter from the Turing space and using the existence criteria, stable patterns are obtained. The result of theoretical analysis well agrees with the result exhibited through numerical simulations around the critical parameter. Finally, numerical simulation illustrates the role of diffusion in the spatial domain by formations  of different patterns.

Article Details

How to Cite
1.
Ranjit Kumar Upadhyay. Investigating the role of fear and top predator interference on the spatio-temporal dynamics of food chain model . J. Int. Acad. Phys. Sci. [Internet]. 2022 Jun. 15 [cited 2024 May 19];26(2):109-33. Available from: https://www.iaps.org.in/journal/index.php/journaliaps/article/view/945
Section
Articles

References

W. Cresswell, Predation in bird populations, J. Ornithol, 152 (2011) 251–263.

S. Creel and D. Christianson, Relationships between direct predation and risk effects, TREE, 23 (2008) 194–201.

M. Clinchy, M.J. Sheriff and L.Y. Zanette, Predator-induced stress and the ecology of fear, Funct Ecol, 27 (2013) 56–65.

S.L. Lima, Predators and the breeding bird: behavioral and reproductive flexibility under the risk of predation, Biol. Rev., 84 (2010) 485–513.

L.Y. Zanette, M. Clinchy, Perceived predation risk reduces the number of offspring songbirds produce per year, Science 334 (2011) 1398–1401.

X. Wang, L. Zanette and X. Zou, Modelling the fear effect in predator-prey interactions, J. Math. Biol., 73 (2016) 1–26.

X. Wang and X. Zou, Modeling the fear effect in predator-prey interactions with adaptive avoidance of predators, Bull. Math. Biol., 79 (2017) 1–35.

R. K. Upadhyay and S. Mishra, Population dynamic consequences of fearful prey in a spatiotemporal predator-prey system, Math. Biosci. Eng.,16 (2018) 338–372.

R.K. Upadhyay and S.R.K. Iyengar, Spatial Dynamics and Pattern Formation in Biological Populations, CRC Press, Taylor and Francis Group, New York, 2021.

A.M. Turing, The chemical basis of mokphogenesis, Philos. Trans. R. Soc. Lond., 237 (1952) 37–72.

L.A. Segel and L.A. Jackson, Dissipative structure: an explanation and an ecological example, J. Theor Biol., 37 (1972) 545-559.

L. Xue, Pattern formation in a predator-prey model with spatial effect, Phys. A, 391 (2012) 5987–5996.

G. Zhang, W. Wang and X. Wang, Coexistence states for a diffusive one-prey and two-predators with BD functional response, Comput. Math. Appl., 387 (2012) 931–948.

R.K. Upadhyay, V. Volpert and N.K. Thakur, Propagation of turing patterns in plankton model, J. Biol. Dyn., 6 (2012) 524–538.

N. Sathyanarayana and K. Satyagopal, Invasive alien species: Problems and the way forward, Pest Management in Horticultural Ecosystems, 19 (2013) 85-91.

J. Hale, Theory of Functional Differential Equations, Springer-Verlag, Berlin, 1977.

D. Jana, R.K. Upadhyay, R. Agrawal, R.D. Parshad and A. Basheer, Explosive tritrophic food chain models with interference: A comparative study, Journal of the Franklin Institute, 357 (2020) 385-413.

R.K. Upadhyay, S.R.K. Iyengar, V. Rai, Chaos: an ecological reality?, International Journal of Bifurcation and Chaos, 8 (1998) 1325-1333.

R.D. Parshad, A. Basheer, D. Jana, and J. P. Tripathi, Do prey handling predators really matter: Subtle effects of Crowley-Martin functional response, Chaos, Solitons and Fractals, (2017)

R.K. Upadhyay, V. Rai, S. R. K. Iyengar, Species extinction problem: genetic vs ecological factors, Applied Mathematical Modelling, 25 (2001) 937-951.

R.D. Parshad, S. Bhowmick, E. Quansah, A. Basheer and R.K. Upadhyay, Predator interference effects on biological control: the ‘paradox’ of the generalist predator revisited, Communications in Nonlinear Science and Numerical Simulation, 39(2016) 169-184.

R.D. Parshad, N. Kumari and S. Kouachi, A remark on "Study of a Leslie-Gower-type tritrophic population model, Chaos, Solitons & Fractals, 71 (2015) 22-28.

T. Hillen and K. Painter, A users guide to PDE models for chemotaxis, Journal of Mathematical Biology, 57(2009) 183-217.

K. Kim and Z. Lin, Blow-up in a three species cooperating model, Applied Mathematics Letters, 17(2004) 89-94.

Y. Lou, T. Nagylaki and W. Ni, On diffusion induced blowups in a mutualistic model, Nonlinear Analysis, 45(2001) 329-342.

Y. Lou and D. Munther, Dynamics of a three species competition model, Discrete & Continuous Dynamical Systems-A, 32(2012) 3099-3131.

J.L.W.V. Jensen, Sur les fonctions convexes et les inégalités entre les valeurs moyennes, Acta Mathematica, 30 (1906) 175–193.

KAJ. White, C.A. Gilligan, Spatial heterogeneity in three species, plant parasite hyperparasite systems, Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 353 (1998) 543-557.

W. Wang, L. Zhang, H. Wang and Z. Li, Pattern formation of a predator–prey system with Ivlev-type functional response, Ecol. Model., 221 (2010) 131–140.

S. Batabyal, D. Jana, R. K. Upadhyay, Diffusion driven finite time blow-up and pattern formation in a mutualistic preys-sexually reproductive predator system: A comparative study, Chaos, Solitons and Fractals, 147 (2011), 110929, 1-27.