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The per-capita growth rate of a species is influenced by density-independent, positive and negative density-dependent factors. These factors can lead to nonlinearity with a consequence that species may process multiple nontrivial equilibria in its single state (e.g., Allee effects). This

The per-capita growth rate of a species is influenced by density-independent, positive and negative density-dependent factors. These factors can lead to nonlinearity with a consequence that species may process multiple nontrivial equilibria in its single state (e.g., Allee effects). This makes the study of permanence of discrete-time multi-species population models very challenging due to the complex boundary dynamics. In this paper, we explore the permanence of a general discrete-time two-species-interaction model with nonlinear per-capita growth rates for the first time. We find a simple sufficient condition for guaranteeing the permanence of the system by applying and extending the ecological concept of the relative nonlinearity to estimate systems' external Lyapunov exponents. Our method allows us to fully characterize the effects of nonlinearities in the per-capita growth functions and implies that the fluctuated populations may devastate the permanence of systems and lead to multiple attractors. These results are illustrated with specific two species competition and predator-prey models with generic nonlinear per-capita growth functions. Finally, we discuss the potential biological implications of our results.

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Title
  • Permanence of a General Discrete-Time Two-Species-Interaction Model With Nonlinear Per-Capita Growth Rates
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Date Created
2013-10
Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.3934/dcdsb.2013.18.2123
    • Identifier Type
      International standard serial number
      Identifier Value
      1531-3492
    • Identifier Type
      International standard serial number
      Identifier Value
      1553-524X
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    Kang, Y. (2013). Permanence of a general discrete-time two-species-interaction model with nonlinear per-capita growth rates. Discrete and Continuous Dynamical Systems - Series B, 18(8), 2123–2142. doi:10.3934/dcdsb.2013.18.2123

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