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.
Similar content being viewed by others
References
Lotka A (1925) Elements of physical biology. Williams and Wilkins, Baltimore
Volterra V (1926) Variazioni e fluttuazioni del numero di individui in specie animali conviventi. Mem Accd Lincei 2(4):31–113
Verhulst PF (1838) Notice sur la loi que la population poursuit dans son accroissement. Corresp Math Phys 10(4):113–121
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
Holling CS (1959b) Some characteristics of simple types of predation and parasitism. Can Entomol 91(388):385–398
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
Murray JD (1993) Mathematical biology. Springer, New York
Ruan S, Xiao D (2001) Global analysis in a predator–prey system with nonmonotonic functional response. SIAM J Appl Math 61(4):1445–1472
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
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
Ajraldi V, Pittavino M, Venturino E (2011) Modelling herd behavior in population systems. Nonlinear Anal RWA 12(4):2319–2338
Braza AP (2012) Predator–prey dynamics with square root functional responses. Nonlinear Anal RWA 13(54):1837–1843
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
Clark CW (1990) Mathematical bioeconomic: the optimal management of renewable resources. Wiley, New York
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
Pontryagin LS, Oltyanskii VS, Gamkrelidze RV (1962) The mathematical theory of optimal processes. Wiley-Interscience, New York
Goh BS (1980) Management and analysis of biological populations. Elsevier, Amsterdam
Goh BS, Leitmann G, Vincent TL (1974) Optimal control of a prey–predator system. Math Biosci 19(3–4):263–286
Leitmann G (1966) An introduction to optimal control. McGraw-Hill, New York
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.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
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
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40435-017-0321-y