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Analysis of a harvested predator–prey system with schooling behaviour

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Abstract

In this paper, we have considered a predator–prey fishery model under harvesting, where the prey exhibits schooling behaviour. Positivity and boundedness of the system are discussed. Some criteria for the extinction of prey and predator populations are derived. Stability analysis of the equilibrium points are presented. Some criteria for Hopf bifurcation are derived. The optimal harvest policy is also discussed using Pontryagin’s Maximum Principle, where the effort is used as the control parameter to protect fish population from overfishing. Numerical simulations are carried out to validate our analytical findings. Implications of our analytical and numerical findings are discussed critically.

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References

  1. Lotka A (1925) Elements of physical biology. Williams and Wilkins, Baltimore

    MATH  Google Scholar 

  2. Volterra V (1926) Variazioni e fluttuazioni del numero di individui in specie animali conviventi. Mem Accd Lincei 2(4):31–113

    MATH  Google Scholar 

  3. Verhulst PF (1838) Notice sur la loi que la population poursuit dans son accroissement. Corresp Math Phys 10(4):113–121

    Google Scholar 

  4. Holling CS (1959a) The components of predation as revealed by a study of small mammal predation of the European pine sawfly. Can Entomol 91(11):293–320

    Article  Google Scholar 

  5. Holling CS (1959b) Some characteristics of simple types of predation and parasitism. Can Entomol 91(388):385–398

    Article  Google Scholar 

  6. Maiti A, Samanta GP (2005) Deterministic and stochastic analysis of a prey-dependent predator–prey system. Int J Math Ed Sci Technol 36(4):65–83

    Article  MathSciNet  Google Scholar 

  7. Murray JD (1993) Mathematical biology. Springer, New York

    Book  MATH  Google Scholar 

  8. Ruan S, Xiao D (2001) Global analysis in a predator–prey system with nonmonotonic functional response. SIAM J Appl Math 61(4):1445–1472

    Article  MathSciNet  MATH  Google Scholar 

  9. Cosner C, DeAngelis DL, Ault JS, Olson DE (1999) Effects of spatial grouping on the functional response of predators. Theor Popul Biol 56(1):65–75

    Article  MATH  Google Scholar 

  10. 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

    Article  MathSciNet  Google Scholar 

  11. Ajraldi V, Pittavino M, Venturino E (2011) Modelling herd behavior in population systems. Nonlinear Anal RWA 12(4):2319–2338

    Article  MATH  Google Scholar 

  12. Braza AP (2012) Predator–prey dynamics with square root functional responses. Nonlinear Anal RWA 13(54):1837–1843

    Article  MathSciNet  MATH  Google Scholar 

  13. Bera SP, Maiti A, Samanta GP (2015) Modelling herd behavior of prey: analysis of a prey–predator mode. World J Model Simul 11(1):3–14

    Google Scholar 

  14. Clark CW (1990) Mathematical bioeconomic: the optimal management of renewable resources. Wiley, New York

    MATH  Google Scholar 

  15. Samanta GP, Manna D, Maiti A (2003) Bioeconomic modeling of a three-species fishery with switching effect. J Appl Math Comput 12(1–2):219–231

    Article  MathSciNet  MATH  Google Scholar 

  16. Pontryagin LS, Oltyanskii VS, Gamkrelidze RV (1962) The mathematical theory of optimal processes. Wiley-Interscience, New York

    Google Scholar 

  17. Goh BS (1980) Management and analysis of biological populations. Elsevier, Amsterdam

    Google Scholar 

  18. Goh BS, Leitmann G, Vincent TL (1974) Optimal control of a prey–predator system. Math Biosci 19(3–4):263–286

    Article  MathSciNet  MATH  Google Scholar 

  19. Leitmann G (1966) An introduction to optimal control. McGraw-Hill, New York

    MATH  Google Scholar 

Download references

Acknowledgements

The authors are grateful to the anonymous referees and Professor Jian-Qiao Sun (Editor-in-Chief) for their careful reading, valuable comments and helpful suggestions, which have helped them to improve the presentation of this work significantly.

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Correspondence to Debasis Manna.

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Manna, D., Maiti, A. & Samanta, G.P. Analysis of a harvested predator–prey system with schooling behaviour. Int. J. Dynam. Control 6, 881–891 (2018). https://doi.org/10.1007/s40435-017-0321-y

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  • DOI: https://doi.org/10.1007/s40435-017-0321-y

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