Population Dynamics in Diffusive Coupled Insect Population

Authors

  • Dongwook Kim Atlanta Metropolitan State College, USA
  • Dong-Hoon Shin Inha University, South Korea

DOI:

https://doi.org/10.31686/ijier.vol6.iss4.1021

Keywords:

diffusion, LPA model, insect population, Chaos, periodic behavior

Abstract

A variety of ecological models exhibit chaotic dynamics because of nonlinearities in population growth and interactions. Here, we will study the LPA model (beetle Tribolium). The LPA model is known to exhibit chaos. In this project, we investigate two things which are the effect of noise constant and the effect of diffusion combined with the LPA model. The effect of noise is not only to change the dynamics of total population density but also to blur the bifurcation diagram. Numerical simulations of the model have shown that diffusion can drive the total population of insects into complex patterns of variability in time. We will compare these simulations with simulations without diffusion. And we conclude that the diffusion coefficient is a bifurcation parameter and that there exist parameter regions with chaotic behavior and periodic solutions. This study demonstrates how diffusion term can be used to influence the chaotic dynamics of an insect population.

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Author Biographies

  • Dongwook Kim, Atlanta Metropolitan State College, USA

    Department of Mathematics,

  • Dong-Hoon Shin, Inha University, South Korea

    Department of Global Finance and Banking

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Published

2018-04-01

How to Cite

Kim, D., & Shin, D.-H. (2018). Population Dynamics in Diffusive Coupled Insect Population. International Journal for Innovation Education and Research, 6(4), 149-159. https://doi.org/10.31686/ijier.vol6.iss4.1021