American Journal of Applied Mathematics

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Population Harvesting on both Prey and Predator

Received: 29 April 2017    Accepted: 08 May 2017    Published: 29 June 2017
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Abstract

In this paper, the prey predator model as well as maximum sustainable yield has been discussed. Both prey and predator populations are considered to follow logistic law of growth. Both prey and predator harvesting or combined harvesting and maximum sustainable yield have been discussed. The maximum sustainable yield has been observed in two ways: as a function of one variable and also a function of two variables. Non-dimensionalization or scaling of the model, in order to reduce the number of the parameters has been performed. Positivity and boundedness of the solution have been studied. Stability analysis of the equilibrium point and also numerical simulations of the model in two dimensional as well as three dimensional cases have been done using MATLAB ode 45.

DOI 10.11648/j.ajam.20170503.14
Published in American Journal of Applied Mathematics (Volume 5, Issue 3, June 2017)
Page(s) 91-98
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Maximum Sustainable Yield, Stability, Combined Harvesting, Positivity and Boundedness, Simulation Study

References
[1] Mohammed Yiha Dawed, Purnachandra Rao Koya and Temesgen Tibebu Mekonen, Generalist species predator-Prey model and maximum sustainable yield, IOSR Journal of Mathematics (IOSR-JM), Vol. 12, Issue 6, Ver. V, 2016, Pp 13-24. DOI: 10.9790/5728-1206051324
[2] Susmita Paul, Paritosh Bhattacharya, K. S. Choudhury, Maximum Sustainable Yield Policy in Prey-Predator System-a study, 2013.
[3] Kinfe Hailemariam Hntsa, Zenebe Taka Mengesha, Mathematical modeling of Fish Resources Harvesting with Predator at Maximum Sustainable Yield, 15 June 2016.
[4] Jicai Huang and Yijun Gong, Bifurcation analysis in prey-predator model with constant-yield predator harvesting.
[5] Mohamed Faris Laham, Ishtrinayagy S. Krishnarajah and Jamilah Mohd Shariff, Fish Harvesting Management Strategies Using Logistic Growth Model, 2012.
[6] Corinne Wentworth, Optimum harvesting models for fishery population, summer of 2011.
[7] T. K. Kar, and Bapan Ghosh, Impacts of maximum sustainable yield policy to prey-predator systems, 2013.
[8] Predation, Wikipedia, the free encyclopedia.
[9] K. Madhusudhan Reddy and K. Lakshmi Narayan A Prey-Predator Model with an Alternative Food for the Predator and Optimal Harvesting of the Prey, 2011.
[10] Tapan Kumar Kar and Kunal Chakraborty effort dynamics in a prey-predator model with harvesting, International journal of informatics and system science 2010.
[11] A brief explanation of biomass and maximum sustainable yield, Ministry of fisheries, July 2006.
Author Information
  • School of Mathematical and Statistical Sciences, Hawassa University, Hawassa, Ethiopia

  • School of Mathematical and Statistical Sciences, Hawassa University, Hawassa, Ethiopia

  • School of Mathematical and Statistical Sciences, Hawassa University, Hawassa, Ethiopia

Cite This Article
  • APA Style

    Aynalem Berhanie Emru, Purnachandra Rao Koya, Mohammed Yiha Dawed. (2017). Population Harvesting on both Prey and Predator. American Journal of Applied Mathematics, 5(3), 91-98. https://doi.org/10.11648/j.ajam.20170503.14

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    ACS Style

    Aynalem Berhanie Emru; Purnachandra Rao Koya; Mohammed Yiha Dawed. Population Harvesting on both Prey and Predator. Am. J. Appl. Math. 2017, 5(3), 91-98. doi: 10.11648/j.ajam.20170503.14

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    AMA Style

    Aynalem Berhanie Emru, Purnachandra Rao Koya, Mohammed Yiha Dawed. Population Harvesting on both Prey and Predator. Am J Appl Math. 2017;5(3):91-98. doi: 10.11648/j.ajam.20170503.14

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  • @article{10.11648/j.ajam.20170503.14,
      author = {Aynalem Berhanie Emru and Purnachandra Rao Koya and Mohammed Yiha Dawed},
      title = {Population Harvesting on both Prey and Predator},
      journal = {American Journal of Applied Mathematics},
      volume = {5},
      number = {3},
      pages = {91-98},
      doi = {10.11648/j.ajam.20170503.14},
      url = {https://doi.org/10.11648/j.ajam.20170503.14},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajam.20170503.14},
      abstract = {In this paper, the prey predator model as well as maximum sustainable yield has been discussed. Both prey and predator populations are considered to follow logistic law of growth. Both prey and predator harvesting or combined harvesting and maximum sustainable yield have been discussed. The maximum sustainable yield has been observed in two ways: as a function of one variable and also a function of two variables. Non-dimensionalization or scaling of the model, in order to reduce the number of the parameters has been performed. Positivity and boundedness of the solution have been studied. Stability analysis of the equilibrium point and also numerical simulations of the model in two dimensional as well as three dimensional cases have been done using MATLAB ode 45.},
     year = {2017}
    }
    

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    T1  - Population Harvesting on both Prey and Predator
    AU  - Aynalem Berhanie Emru
    AU  - Purnachandra Rao Koya
    AU  - Mohammed Yiha Dawed
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    JF  - American Journal of Applied Mathematics
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    AB  - In this paper, the prey predator model as well as maximum sustainable yield has been discussed. Both prey and predator populations are considered to follow logistic law of growth. Both prey and predator harvesting or combined harvesting and maximum sustainable yield have been discussed. The maximum sustainable yield has been observed in two ways: as a function of one variable and also a function of two variables. Non-dimensionalization or scaling of the model, in order to reduce the number of the parameters has been performed. Positivity and boundedness of the solution have been studied. Stability analysis of the equilibrium point and also numerical simulations of the model in two dimensional as well as three dimensional cases have been done using MATLAB ode 45.
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