Bioeconomics fishery model in presence of infection: Sustainability and demand-price perspectives

Nandadulal Bairagi, Santanu Bhattacharya, Pierre Auger, Biswajit Sarkar

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Intense harvesting and emerging infectious diseases are potential threats to global fishery. A proper management policy equipped with the scientific understanding of species interaction is a footstep in a long-term sustainable fishery. This work performs a qualitative study of bioeconomic management of a fishery in presence of some infection. The model narrates the rate equations of the healthy fish, infected fish, fishing effort and market price, where the fishing effort is considered to be dependent on the fish price and the fish price is regulated by the demand-supply theory of the open market. Routh–Hurwitz criterion is utilized for the local stability analysis whereas the high-dimensional Bendixson criterion is used for the global stability analysis. The one and two parameters bifurcation analysis explain various switching in equilibrium states, which includes infection-free, infected and harvesting-free states. The existence conditions of the bionomic equilibrium, where both the ecological and economic equilibrium exists, has been established. The harvested fish biomass is observed to be higher at the infection-free equilibrium state compare to the infected equilibrium state under increasing infection rate, however, the outcome is opposite under increasing environmental carrying capacity. Though, the total revenue is highest at the infection-free state when demand is high. An unintuitive result is that the infection persists at a higher level if demand decreases.

Original languageEnglish
Article number126225
JournalApplied Mathematics and Computation
Volume405
DOIs
Publication statusPublished - 2021 Sept 15

Bibliographical note

Funding Information:
The authors acknowledge the suggestions of the anonymous reviewers in improving the manuscript. The research of Santanu Bhattacharya is supported by UGC, India with F. NO. 16-6(DEC.2017)/2018(NET/CSIR).

Publisher Copyright:
© 2021

All Science Journal Classification (ASJC) codes

  • Computational Mathematics
  • Applied Mathematics

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