Population models with partial migration
Anushaya Mohapatra, Haley A. Ohms, David A. Lytle, and Patrick De, Leenheer

TL;DR
This paper develops discrete-time population models to analyze the coexistence and dynamics of migrant and resident groups in populations, incorporating linear and density-dependent nonlinear effects, with outcomes predicted by a basic reproduction number.
Contribution
It introduces novel discrete-time models for partial migration, including linear and density-dependent types, and demonstrates how the basic reproduction number predicts population stability or extinction.
Findings
Basic reproduction number determines population fate.
Models predict coexistence or extinction based on reproduction number.
Density dependence influences long-term population dynamics.
Abstract
Populations exhibiting partial migration consist of two groups of individuals: Those that mi- grate between habitats, and those that remain fixed in a single habitat. We propose several discrete-time population models to investigate the coexistence of migrants and residents. The first class of models is linear, and we distinguish two scenarios. In the first, there is a single egg pool to which both populations contribute. A fraction of the eggs is destined to become migrants, and the remainder become residents. In a second model, there are two distinct egg pools to which the two types contribute, one corresponding to residents and another to migrants. The asymptotic growth or decline in these models can be phrased in terms of the value of the basic reproduction number being larger or less than one respectively. A second class of models incorporates density dependence effects. It is…
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Taxonomy
TopicsMathematical and Theoretical Epidemiology and Ecology Models · Evolution and Genetic Dynamics · Ecosystem dynamics and resilience
