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Models for Populations with Spatial Structure

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Mathematical Models in Population Biology and Epidemiology

Part of the book series: Texts in Applied Mathematics ((TAM,volume 40))

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Abstract

Populations may be structured by spatial location. There are two common different ways to include spatial location in a population. One way is by means of metapopulations, that is, populations of populations, with links between them such as a collection of towns and cities connected by a transportation network. The air transport subnetwork includes connecting links between distant communities, and we may study the dynamics of populations of different cities as a function of the flow of people between them and their own local dynamics in this framework. A metapopulation may be divided into patches, with each patch corresponding to a separate location. The corresponding models may be systems of ordinary differential equations, with the population size of each species in each patch as a variable. Thus metapopulation models are often systems of ordinary differential equations of high dimension. Some basic references are Hanski (1999), Hanski and Gilpin (1997), Levin, Powell and Steele (1993), Neuhauser (2001).

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Correspondence to Fred Brauer .

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Brauer, F., Castillo-Chavez, C. (2012). Models for Populations with Spatial Structure. In: Mathematical Models in Population Biology and Epidemiology. Texts in Applied Mathematics, vol 40. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1686-9_8

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