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Non-linear Structured Population Models

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Population Dynamics Based on Individual Stochasticity

Part of the book series: SpringerBriefs in Population Studies ((POPULAT))

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Abstract

The previous chapters mainly treated linear structured population models. However, there are just three simple asymptotic behaviors, e.g., the population dynamics is monotonically increasing, \(r_{0}>0\), decreasing, \(r_{0}<0\), or constant, \(r_{0}=0\). In nature, most organisms persist via complicated population dynamics established over centuries. Biologists believe that density effects as well as intra-specific and inter-specific competitions are significant phenomena that complicate the population dynamics. These phenomena appear in mathematical models for biology (including human demography) as non-linear effects. Such non-linearity is a central subject in both mathematical demography and biology. This chapter deals with the analysis of non-linear effects on individual life histories and population dynamics.

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Notes

  1. 1.

    It represents the capacity of the population that the environment feeds.

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Correspondence to Ryo Oizumi .

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Oizumi, R. (2022). Non-linear Structured Population Models. In: Population Dynamics Based on Individual Stochasticity. SpringerBriefs in Population Studies(). Springer, Singapore. https://doi.org/10.1007/978-981-19-3548-0_3

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  • DOI: https://doi.org/10.1007/978-981-19-3548-0_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-3547-3

  • Online ISBN: 978-981-19-3548-0

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