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Dynamical Study of an Eco-Epidemiological Delay Model for Plankton System with Toxicity

Authors :
Archana Ojha
Nilesh Kumar Thakur
Smriti Chandra Srivastava
Source :
Iranian Journal of Science and Technology. Transaction A, Science
Publication Year :
2021
Publisher :
Springer International Publishing, 2021.

Abstract

In this paper, we analyze the complexity of an eco-epidemiological model for phytoplankton–zooplankton system in presence of toxicity and time delay. Holling type II function response is incorporated to address the predation rate as well as toxic substance distribution in zooplankton. It is also presumed that infected phytoplankton does recover from the viral infection. In the absence of time delay, stability and Hopf-bifurcation conditions are investigated to explore the system dynamics around all the possible equilibrium points. Further, in the presence of time delay, conditions for local stability are derived around the interior equilibria and the properties of the periodic solution are obtained by applying normal form theory and central manifold arguments. Computational simulation is performed to illustrate our theoretical findings. It is explored that system dynamics is very sensitive corresponding to carrying capacity and toxin liberation rate and able to generate chaos. Further, it is observed that time delay in the viral infection process can destabilize the phytoplankton density whereas zooplankton density remains in its old state. Incorporation of time delay also gives the scenario of double Hopf-bifurcation. Some control parameters are discussed to stabilize system dynamics. The effect of time delay on (i) growth rate of susceptible phytoplankton shows the extinction and double Hopf-bifurcation in the zooplankton population, (ii) a sufficiently large value of carrying capacity stabilizes the chaotic dynamics or makes the whole system chaotic with further increment.

Details

Language :
English
ISSN :
23641819 and 10286276
Database :
OpenAIRE
Journal :
Iranian Journal of Science and Technology. Transaction A, Science
Accession number :
edsair.doi.dedup.....06453a5b6a5111c3857e758369028487