Evidence map›Paper›PMID 41381724›Full record

ArticleScientific reports2025

Dynamical complexity of a three species food chain model incorporating delays and toxic habitat.

David Raju Thommandru, Abhijit Sarkar, Bapin Mondal, Soumen Kundu

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

David Raju Thommandru *Department of Mathematics, School of Advanced Sciences, VIT-AP University, Beside AP Secretariat, Amaravati, Inavolu, Andhra Pradesh, 522241, India.
Abhijit Sarkar *Department of Mathematics, School of Computer Science and Artificial Intelligence, SR University, Warangal, Telangana, 506371, India.
Bapin Mondal *Department of Mathematics, School of Computer Science and Artificial Intelligence, SR University, Warangal, Telangana, 506371, India.
Soumen KunduDepartment of Mathematics, School of Advanced Sciences, VIT-AP University, Beside AP Secretariat, Amaravati, Inavolu, Andhra Pradesh, 522241, India. soumenkundu75@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of toxins on predator and prey populations has recently gained attention in ecological modeling. In our research, we want to develop and analyse a food chain model that integrates the effects of toxins produced within the ecological system. The model focuses on a three-tier food chain, comprising prey, an intermediate predator, and a top predator, where toxins released by species impact their interactions and survival rates. The growth rates of prey and middle predators are assumed to follow a logistic pattern. By incorporating time delays in growth, toxin accumulation and its effects, we explore how delay and toxin influence together alters the stability of the system. In this model, we have shown that the system exhibits uniform persistence. The necessary and sufficient conditions for stability and Hopf-bifurcation of the coexistence interior equilibrium point have been discussed analytically and numerically both, taking delay as threshold parameter. In addition to that, Lyapunov function has been constructed to study the local asymptotic stability of the coexistence interior equilibrium point. Furthermore, numerical simulations have been carried out with appropriate parameter values to validate the analytical results obtained. Finally, in conclusion, the paper summarizes our findings and highlights potential directions for future research on this topic.

Indexed as

EcosystemFood ChainModels, BiologicalModels, TheoreticalToxins, BiologicalAnimalsComputer SimulationPopulation DynamicsPredatory BehaviorToxins, BiologicalDelayFood chain modelLyapunov functionStability and bifurcationToxin

Identifiers

PMID41381724
PMCPMC12789683

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LicenceCC BY-NC-ND
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