Abstract
In this paper, we investigate a model for phytoplankton–zooplankton interaction and incorporated the adaptation (dormancy of the predators such as resting eggs) and defense. The dormant stage is the better equipment to withstand unpleasant environmental conditions than active ones. The ability to defense from predator attack is an important trait shaping prey population dynamics. We study how (i) adaptations allow an organism to be successful in a particular harsh environment, (ii) toxin spread surrounding the water surface provide a defense? Analytically, we study the local stability condition of the model system. To understand the effect of adaptation and defense on plankton dynamics, we have plotted the bifurcation diagram, time series and spatiotemporal pattern. Our numerical investigation reveals that the adaptation can suppress the fluctuation in population density and system shows a transient complex spatiotemporal pattern which is either a mixture of spatially periodic steady states or traveling/standing waves by increasing the time and space.
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References
Andrews JF (1968) A mathematical model for the continuous culture of macroorganisms utilizing inhibitory substrates. Biotechnol Bioeng 10(6):707–723
Arnold DE (1971) Ingestion, assimilation, survival, and reproduction by daphnia pulex fed seven species of blue-green algae 1, 2. Limnol Oceanogr 16(6):906–920
Bhattacharyya J, Pal S (2016) Algae-herbivore interactions with Allee effect and chemical defense. Ecoll Complex 27:48–62
Chattopadhyay J, Chatterjee S, Venturino E (2008) Patchy agglomeration as a transition from monospecies to recurrent plankton blooms. J Theor Biol 253(2):289–295
DeMott WR, Moxter F (1991) Foraging cyanobacteria by copepods: responses to chemical defense and resource abundance. Ecology 72(5):1820–1834
Dugatkin LA (1997) Cooperation among animals:an evolutionary perspective. Oxford University Press, New York
Ghanbari B, Kumar S, Kumar R (2020) A study of behaviour for immune and tumor cells in immunogenetic tumour model with non-singular fractional derivative. Chaos Solitons Fractals 133:109619
Goufo EFD, Kumar S, Mugisha SB (2020) Similarities in a fifth-order evolution equation with and with no singular kernel. Chaos Solitons Fractals 130:109467
Han R, Dai B (2019) Spatiotemporal pattern formation and selection induced by nonlinear cross-diffusion in a toxic-phytoplankton-zooplankton model with Allee effect. Nonlinear Anal Real World Appl 45:822–853
Kumar S, Kumar A, Odibat ZM (2017) A nonlinear fractional model to describe the population dynamics of two interacting species. Math Methods Appl Sci 40(11):4134–4148
Kumar S, Nisar KS, Kumar R, Cattani C, Samet B (2020a) A new Rabotnov fractional-exponential function-based fractional derivative for diffusion equation under external force. Math Methods Appl Sci. https://doi.org/10.1002/mma.6208
Kumar S, Kumar R, Singh J, Nisar KS, Kumar D (2020b) An efficient numerical scheme for fractional model of HIV-1 infection of CD4+ T-cells with the effect of antiviral drug therapy. Alexandria Eng J. https://doi.org/10.1016/j.aej.2019.12.046
Kuwamura M (2015) Turing instabilities in prey-predator systems with dormancy of predators. J Math Biol 71(1):125–149
Kuwamura M, Chiba H (2009) Mixed-mode oscillations and chaos in a prey-predator system with dormancy of predators. Chaos Interdiscip J Nonlinear Sci 19(4):043121
Kuwamura M, Nakazawa T, Ogawa T (2009) A minimum model of prey-predator system with dormancy of predators and the paradox of enrichment. J Math Biol 58(3):459–479
Lampert W (1981) Inhibitory and toxic effects of blue-green algae on daphnia. Internationale Revue der gesamten Hydrobiologie und Hydrographie 66(3):285–298
Lass S, Spaak P (2003) Chemically induced anti-predator defences in plankton: a review. Hydrobiologia 491(1–3):221–239
Lui Y (2007) Geometrical criteria for non-existence of cycles in predator–prey system with group defense. Math Biosci 208:193–204
Muller MN, Mitani JC (2005) Conflict and co-operation in wild life chimpanzees. Adv Study Behav 35:275–331
Pal R, Basu D, Banerjee M (2009) Modelling of phytoplankton allelopathy with Monod–Haldane-type functional response—a mathematical study. Biosystems 95(3):243–253
Pančić M, Kiørboe T (2018) Phytoplankton defence mechanisms: traits and trade-offs. Biol Rev 93(2):1269–1303
Raw SN, Mishra P (2019) Modeling and analysis of inhibitory effect in plankton-fish model: application to the hypertrophic Swarzedzkie Lake in Western Poland. Nonlinear Anal Real World Appl 46:465–492
Scheffer M (1998) London Ecology of shallow lakes, vol 357. Chapman & Hall London, London
Segel LA, Jackson JL (1972) Dissipative structure: an explanation and an ecological example. J Theor Biol 37(3):545–559
Smayda TJ, Shimizu Y (eds) (1993) Toxic phytoplankton blooms in the sea. Developmental marine biology, vol 3. Elsevier Science Publications, New York
Sokol W, Howell JA (1981) Kinetics of phenol oxidation by washed cell. Biotechnol Bioeng 3(9):2039–2049
Steele JH, Henderson EW (1981) A simple plankton model. Am Nat 117(5):676–691
Upadhyay RK, Wang W, Thakur NK (2010) Spatiotemporal dynamics in a spatial plankton system. Math Model Nat Phenom 5(5):102–122
Upadhyay RK, Thakur NK, Rai V (2011) Diffusion-driven instabilities and spatio-temporal patterns in an aquatic predator–prey system with Beddington–DeAngelis type functional response. Int J Bifurc Chaos 21(03):663–684
Van Donk E, Ianora A, Vos M (2011) Induced defences in marine and freshwater phytoplankton: a review. Hydrobiologia 668(1):3–19
Vilar JMG, Solé RV, Rubí JM (2003) On the origin of plankton patchiness. Phys A Stat Mech Appl 317(1–2):239–246
Wang J, Jiang W (2012) Bifurcation and chaos of a delayed predator–prey model with dormancy of predators. Nonlinear Dyn 69(4):1541–1558
Watanabe MF, Park HD, Watanabe M (1994) To Compositions of Microcystis species and heptapeptide toxins. Internationale Vereinigung für theoretische und angewandte Limnologie: Verhandlungen 25(4):2226–2229
Xu C, Yuan S, Zhang T (2016) Global dynamics of a predator–prey model with defense mechanism for prey. Appl Math Lett 62:42–48
Acknowledgements
This research work is supported by Science and Engineering Research Board (SERB), Govt. of India, under the Grant No. EMR/2017/000607 to the corresponding author (Nilesh Kumar Thakur).
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Thakur, N.K., Ojha, A. Complex plankton dynamics induced by adaptation and defense. Model. Earth Syst. Environ. 6, 907–916 (2020). https://doi.org/10.1007/s40808-020-00727-8
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DOI: https://doi.org/10.1007/s40808-020-00727-8