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Numerical evaluation of external effects on interspecific interacting populations

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  • Special Issue on Intelligent Computing and Modeling in Lift System and Sustainable Environment
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Abstract

In this paper, effects of environmental and hunting parameters on the interspecific interacting populations are considered by applying the Rosenzweig-MacArthur model with the Holling type II functional response. Attenuating functions of the carrying capacity are introduced with a concern on the hunting parameters. We carry out numerical study to investigate how the population densities behave when environmental quantities change. We obtain the Hopf bifurcation diagrams from numerical results.

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References

  1. A. Hastings. Population Biology: Concepts and Models, New York, USA: Springer, 1998.

    MATH  Google Scholar 

  2. L. L. Rockwood. Introduction to Population Ecology, Malden, USA: Blackwell Publishing, 2006.

    Google Scholar 

  3. P. Turchin. Complex Population Dynamics: A Theoretical/Empirical Synthesis, Princeton, USA: Princeton University Press, 2003.

    MATH  Google Scholar 

  4. D. E. Huff, J. D. Varley. Natural regulation in Yellowstone National Park’s northern range. Ecological Applications, vol. 9, no. 1, pp. 17–29, 1999.

    Google Scholar 

  5. R. M. May. Stability and Complexity in Model Ecosystems, 2nd ed., Princeton, USA: Princeton University Press, 1975.

    Google Scholar 

  6. C. S. Holling. The functional response of invertebrate predators to prey density. Memoirs of the Entomological Society of Canada, vol. 98, no. S48, pp. 5–86, 1966.

    Google Scholar 

  7. M. L. Rosenzweig, R. H. MacArthur. Graphical representation and stability conditions of predator-prey interaction. American Naturalist, vol. 97, no. 895, pp. 209–223, 1963.

    Article  Google Scholar 

  8. A. D. Bazykin. Nonlinear Dynamics of Interacting Populations, Singapore: World Scientific, 1998.

    Google Scholar 

  9. J. Hofbauer, K. Sigmund. Evolutionary Games and Population Dynamics, Cambridge, UK: Cambridge University Press, 1998.

    Book  MATH  Google Scholar 

  10. J. D. Meiss. Differential Dynamical Systems, Philadelphia, USA: SIAM, 2007.

    Book  MATH  Google Scholar 

  11. J. D. Murray. Mathematical Biology: I. An Introduction, 3rd ed., New York, USA: Springer, 2002.

    MATH  Google Scholar 

  12. J. D. Murray. Mathematical Biology: II. Spatial Models and Biomedical Applications, 3rd ed., New York, USA: Springer, 2003.

    MATH  Google Scholar 

  13. K. S. Cheng. Uniqueness of a limit cycle for a predator-prey system. SIAM Journal on Mathematical Analysis, vol. 12, no. 4, pp. 541–548, 1981.

    Article  MathSciNet  MATH  Google Scholar 

  14. Y. A. Kuznetsov. Elements of Applied Bifurcation Theory, 3rd ed., New York, USA: Springer-Verlag, 2004.

    Book  MATH  Google Scholar 

  15. J. Sugie, Y. Saito. Uniqueness of limit cycles in a Rosenzweig-MacArthur model with prey immigration. SIAM Journal on Applied Mathematics, vol. 72, no. 1, pp. 299–316, 2012.

    Article  MathSciNet  MATH  Google Scholar 

  16. V. R. Alekseev, B. T. D. Stasio, J. J. Gilbert. Diapause in Aquatic Invertebrates: Theory and Human Use, Netherlands: Kluwer Academic Publishers, 2007.

    Book  Google Scholar 

  17. M. Kuwamura, T. Nakazawa, T. Ogawa. A minimum model of prey-predator system with dormancy of predators and the paradox of enrichment. Journal of Mathematical Biology, vol. 58, no. 3, pp. 459–479, 2009.

    Article  MathSciNet  MATH  Google Scholar 

  18. M. Kuwamura, T. Nakazawa. Dormancy of predators dependent on the rate of variation in prey density. SIAM Journal on Applied Mathematics, vol. 71, no. 1, pp. 169–179, 2011.

    Article  MathSciNet  MATH  Google Scholar 

  19. Q. Fang, X. Y. Zhang. Effect of environment on preypredator systems with numerical simulation. In Proceedings of the 2014 International Conference on Life System Modeling and Simulation and 2014 International Conference on Intelligent Computing for Sustainable Energy and Environment: Communications in Computer and Information Science, Heidelberg, Germany: Springer, vol. 461, pp. 420–423, 2014.

    Google Scholar 

Download references

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Authors and Affiliations

Authors

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Correspondence to Xiao-Yu Zhang.

Additional information

This work was supported by National Natural Science Foundation of China (No. 11501032), and Scientific Research Grant-in-Aid from JSPS (No. 15K04987).

Recommended by Guest Editor Yang Song

Xiao-Yu Zhang received the B. Sc. degree in fundamental mathematics from Inner Mongolia University, China in 2005, the M. Sc. degree in fundamental mathematics from Fujian Normal University, China in 2009, and the Ph.D. degree in applied mathematics from Yamagata University, Japan in 2011. She is currently a lecture at Department of Mathematics, Beijing Forestry University. She is a member of MSJ and JSIAM.

Her research interests include complex analysis, numerical analysis, differential equations, dynamical systems, and mathematical modeling.

ORCID iD: 0000-0002-2794-3848

Qing Fang received the B. Sc. degree in fundamental mathematics from University of Science and Technology of China, China in 1985, the M. Sc. and Ph.D. degrees in applied mathematics from Hiroshima University, Japan in 1989 and 1992, respectively. He is currently a professor at Department of Mathematical Sciences, Yamagata University, Japan. He is a member of MSJ and JSIAM.

His research interests include numerical analysis, scientific computing, differential equations, dynamical systems and mathematical modeling.

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Zhang, XY., Fang, Q. Numerical evaluation of external effects on interspecific interacting populations. Int. J. Autom. Comput. 13, 133–141 (2016). https://doi.org/10.1007/s11633-015-0938-2

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  • DOI: https://doi.org/10.1007/s11633-015-0938-2

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