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

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 pre...

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Autores principales: Thakur, Nilesh Kumar, Srivastava, Smriti Chandra, Ojha, Archana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7781835/
https://www.ncbi.nlm.nih.gov/pubmed/33424195
http://dx.doi.org/10.1007/s40995-020-01042-8
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author Thakur, Nilesh Kumar
Srivastava, Smriti Chandra
Ojha, Archana
author_facet Thakur, Nilesh Kumar
Srivastava, Smriti Chandra
Ojha, Archana
author_sort Thakur, Nilesh Kumar
collection PubMed
description 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.
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spelling pubmed-77818352021-01-05 Dynamical Study of an Eco-Epidemiological Delay Model for Plankton System with Toxicity Thakur, Nilesh Kumar Srivastava, Smriti Chandra Ojha, Archana Iran J Sci Technol Trans A Sci Research Paper 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. Springer International Publishing 2021-01-05 2021 /pmc/articles/PMC7781835/ /pubmed/33424195 http://dx.doi.org/10.1007/s40995-020-01042-8 Text en © Shiraz University 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Paper
Thakur, Nilesh Kumar
Srivastava, Smriti Chandra
Ojha, Archana
Dynamical Study of an Eco-Epidemiological Delay Model for Plankton System with Toxicity
title Dynamical Study of an Eco-Epidemiological Delay Model for Plankton System with Toxicity
title_full Dynamical Study of an Eco-Epidemiological Delay Model for Plankton System with Toxicity
title_fullStr Dynamical Study of an Eco-Epidemiological Delay Model for Plankton System with Toxicity
title_full_unstemmed Dynamical Study of an Eco-Epidemiological Delay Model for Plankton System with Toxicity
title_short Dynamical Study of an Eco-Epidemiological Delay Model for Plankton System with Toxicity
title_sort dynamical study of an eco-epidemiological delay model for plankton system with toxicity
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7781835/
https://www.ncbi.nlm.nih.gov/pubmed/33424195
http://dx.doi.org/10.1007/s40995-020-01042-8
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