Analysis and Control of Chaotic Behaviour in a Plankton-Fish Interaction System with Fear and Refuge
Abstract
Controlling chaos in plankton-fish dynamics has been predominantly remained a rationale of many ecologists for managing and preserving ecosystem. In this paper, we have introduced a mathematical model consisting of phytoplankton, zooplankton, and fish population with a motive to study the simultaneous impact of prey refuge and fear. We have determined the existence of all feasible biological equilibria and proposed certain conditions of local stability of the given system around it. The Hopf-bifurcation analysis is carried out by considering phytoplankton refuge (n1), zooplankton refuge (n2), and fear effect (L) as significant bifurcation parameters. It is seen that fear of top predator mitigate unpredictable(chaotic) behavior of the plankton system and induce system stability for L ≥ 1.09. Our investigations reveal that the defense mechanism developed by prey species due to the fear of predator population, namely n1 and n2 can also terminate chaos from the system. It is found that the given dynamical system remains stable in the intervals n1 ∈ [0.71, 0.73] and n2 ∈ [0.73, 0.75]. We have applied feedback and non-feedback control mechanisms to stabilize the chaotic trajectories of the plankton-fish dynamics. All analytical findings are substantiated using numerical simulation.
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S. L. Lima, “Nonlethal effects in the ecology of predator-prey interactions,” Bioscience, vol. 48, no. 1, pp. 25–34, 1998.
S. Creel and D. Christianson, “Relationships between direct predation and risk effects,” Trends in Ecology and Evolution, vol. 23, no. 4, pp. 194–201, 2008. DOI:10.1016/j.tree.2007.12.004
S. L. Lima, “Predators and the breeding bird: behavioral and reproductive flexibility under the risk of predation,” Biological Reviews, vol. 84, no. 3, pp. 485–513, 2009. DOI:10.1111/j.1469-185X.2009.00085.x
J. Bhattacharyya and S. Pal, “Stage-structured cannibalism with delay in maturation and harvesting of an adult predator,” Journal of Biological Physics, vol. 39, no. 1, pp. 37–65, 2013. DOI:10.1007/s10867-012-9284-6
J. Bhattacharyya and S. Pal, “Hysteresis in coral reefs under macroalgal toxicity and overfishing,” Journal of Biological Physics, vol. 41, no. 2, pp. 151–172, 2015. DOI:10.1007/s10867-014-9371-y
S. Eggers et al., “Predation risk induces changes in nest-site selection and clutch size in the siberian jay,” Proceedings of the Royal Society B, vol. 273, pp. 701–706, 2006. DOI:10.1098/rspb.2005.3373
J. Fontaine and T. Martin, “Parent birds assess nest predation risk and adjust their reproductive strategies,” Ecology Letters, vol. 9, no. 4, pp. 428–434, 2006. DOI:10.1111/j.1461-0248.2006.00892.x
J. D. Ibáñez-Álamo and M. Soler, “Predator-induced female behavior in the absence of male incubation feeding: an experimental study,” Behavioral Ecology and Sociobiology, vol. 66, no. 7, pp. 1067–1073, 2012. DOI:10.1007/s00265-012-1357-9
S. Creel et al., “Predation risk affects reproductive physiology and demography of elk,” Science, vol. 315, no. 5814, pp. 960–960, 2007. DOI:10.1126/science.1135918
A. J. Wirsing and W. J. Ripple, “A comparison of shark and wolf research reveals similar behavioral responses by prey,” Frontiers in Ecology and the Environment, vol. 9, pp. 335–341, 2011. DOI:10.1890/090226
J. P. Suraci et al., “Fear of large carnivores causes a trophic cascade,” Nature Communications, vol. 7, p. 10698, 2016. DOI:10.1038/ncomms10698
R. P. Kaur, A. Sharma, and A. K. Sharma, “Impact of fear effect on plankton-fish system dynamics incorporating zooplankton refuge,” Chaos, Solitons and Fractals, vol. 143, p. 110563, 2021. DOI:10.1016/j.chaos.2020.110563
W. Sun et al., “Effects of zooplankton refuge on the growth of tilapia (oreochromis niloticus) and plankton dynamics in pond,” Aquaculture International, vol. 18, no. 4, pp. 647–655, 2010. DOI:10.1007/s10499-009-9286-y
J. Li et al., “Dynamical analysis of a toxin-producing phytoplankton-zooplankton model with refuge,” Mathematical Biosciences snd Engineering, vol. 14, no. 2, pp. 529–552, 2017. DOI:Doi: 10.3934/mbe.2017032
A. Bertolo et al., “Effects of physical refuges on fish–plankton interactions,” Freshwater Biology, vol. 41, no. 4, pp. 795–808, 1999. DOI:10.1046/j.1365-2427.1999.00424.x
G. C. W. Sabin and D. Summers, “Chaos in a periodically forced predator-prey ecosystem model,” Mathematical Biosciences, vol. 113, no. 1, pp. 91–113, 1993. DOI:10.1016/0025-5564(93)90010-8
S. Rinaldi, S. Muratori, and Y. Kuznetsov, “Multiple attractors, catastrophes and chaos in seasonally perturbed predator-prey communities,” Bulletin of Mathematical Biology, vol. 55, no. 1, pp. 15–35, 1993. DOI:10.1007/BF02460293
T. K. Kar, “Stability analysis of a prey–predator model incorporating a prey refuge,” Communications in Nonlinear Science and Numerical Simulation, vol. 10, no. 6, pp. 681–691, 2005. DOI:10.1016/j.cnsns.2003.08.006
Y. Huang, F. Chen, and L. Zhong, “Stability analysis of a prey–predator model with holling type iii response function incorporating a prey refuge,” Applied Mathematics and Computation, vol. 182, no. 1, pp. 672–683, 2006. DOI:10.1016/j.amc.2006.04.030
M. Pancic and T. Kiorboe, “Phytoplankton defence mechanisms: traits and trade-offs,” Biological Reviews, vol. 93, no. 2, pp. 1269–1303, 2018. DOI:10.1111/brv.12395
D. E. Schindler and M. D. Scheuerell, “Habitat coupling in lake ecosystems,” Oikos, vol. 98, no. 2, pp. 177–189, 2002. DOI:10.1034/j.1600-0706.2002.980201.x
P. J. Wiles et al., “Stratification and mixing in the limfjorden in relation to mussel culture,” Journal of Marine Systems, vol. 60, no. 1–2, pp. 129–143, 2006. DOI:0.1016/j.jmarsys.2005.09.009
L. Zhang et al., “Periodic fluctuations of marine oxygen content during the latest permian,” Global and Planetary Change, vol. 195, p. 103326, 2020. DOI:10.1016/j.gloplacha.2020.103326
C. Peng, X. Zhao, and G. Liu, “Noise in the sea and its impacts on marine organisms,” International Journal of Environmental Research and Public Health, vol. 12, no. 10, pp. 12304–12323, 2015. DOI:10.3390/ijerph121012304
S. S. Sabet, Y. Y. Neo, and H. Slabbekoorn, “Impact of anthropogenic noise on aquatic animals: from single species to community-level effects,” in The effects of noise on aquatic life II, pp. 957–961, 2016. DOI:10.1007/978-1-4939-2981-8_118
D. P. Häder et al., “Effects of uv radiation on aquatic ecosystems and interactions with climate change,” Photochemical and Photobiological Sciences, vol. 10, no. 2, pp. 242–260, 2011. DOI:10.1039/c0pp90036b
R. K. Naji and A. T. Balasim, “Dynamical behavior of a three species food chain model with beddington–deangelis functional response,” Chaos, Solitons and Fractals, vol. 32, no. 5, pp. 1853–1866, 2007. DOI:10.1016/j.chaos.2005.12.019
R. K. Upadhyay and R. K. Naji, “Dynamics of a three species food chain model with crowley–martin type functional response,” Chaos, Solitons and Fractals, vol. 42, no. 3, pp. 1337–1346, 2009. DOI:10.1016/j.chaos.2009.03.020
M. Zhao and S. Lv, “Chaos in a three-species food chain model with a beddington–deangelis functional response,” Chaos, Solitons and Fractals, vol. 40, no. 5, pp. 2305–2316, 2009. DOI:10.1016/j.chaos.2007.10.025
A. Singh and S. Gakkhar, “Controlling chaos in a food chain model,” Mathematics and Computers in Simulation, vol. 115, pp. 24–36, 2015. DOI:10.1016/j.matcom.2015.04.001
V. Sundarapandian, “Output regulation of the liu chaotic system,” Applied Mechanics and Materials, vol. 110, pp. 3982–3989, 2011. DOI:10.4028/www.scientific.net/AMM.110-116.3982
G. Chen, “A simple adaptive feedback control method for chaos and hyper-chaos control,” Applied Mathematics and Computation, vol. 217, no. 17, pp. 7258–7264, 2011. DOI:10.1016/j.amc.2011.02.017
D. Yang and J. Zhou, “Connections among several chaos feedback control approaches and chaotic vibration control of mechanical systems,” Communications in Nonlinear Science and Numerical Simulation, vol. 19, no. 11, pp. 3954–3968, 2014. DOI:10.1016/j.cnsns.2014.04.001
J. A. Laoye, U. E. Vincent, and S. O. Kareem, “Chaos control of 4d chaotic systems using recursive backstepping nonlinear controller,” Chaos, Solitons and Fractals, vol. 39, no. 1, pp. 356–362, 2009. DOI:10.1016/j.chaos.2007.04.020
S. Vaidyanathan, “Sliding mode control based global chaos control of liu-liu-liu-su chaotic system,” International Journal of Control Theory and Applications, vol. 5, no. 1, pp. 15–20, 2012.
P. A. Cook, “Nonlinear Dynamical Systems." USA: Prentice-Hall International, 1986
T. Botmart, P. Niamsup, and X. Liu, “Synchronization of non-autonomous chaotic systems with time-varying delay via delayed feedback control,” Communications in Nonlinear Science and Numerical Simulation, vol. 17, no. 4, pp. 1894–1907, 2012. DOI:10.1016/j.cnsns.2011.07.038
T. S. Parker and L. O. Chua, “Practical Numerical Algorithms for Chaotic Systems." Springer-Verlag, 1989. DOI:0.1007/978-1-4612-3486-9_7
M. Gao, H. Shi, and Z. Li, “Chaos in a seasonally and periodically forced phytoplankton–zooplankton system,” Nonlinear Analysis: Real World Applications, vol. 10, no. 3, pp. 1643–1650, 2009. DOI:10.1016/j.nonrwa.2008.02.005
Y. Pilpel, “Noise in biological systems: pros, cons, and mechanisms of control,” Yeast Systems Biology, pp. 407–425, 2011. DOI:10.1007/978-1-61779-173-4_23
I. M. Moroz, R. Cropp, and J. Norbury, “Chaos in plankton models: Foraging strategy and seasonal forcing,” Ecological Modelling, vol. 332, pp. 103–111, 2016. DOI:10.1016/j.ecolmodel.2016.04.011
T. Insperger, “On the approximation of delayed systems by taylor series expansion,” Journal of computational and non linear dynamics, vol. 10, no. 2, p. 024503, 2015. DOI:10.1115/1.4027180
DOI: https://doi.org/10.37905/jjbm.v6i4.33743
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