Literature DB >> 21626365

The limiting behaviour of a mainland-island metapopulation.

R McVinish1, P K Pollett.   

Abstract

Stochastic patch occupancy models (SPOMs) are a class of discrete time Markov chains used to model the presence/absence of a population in a collection of habitat patches. This class of model is popular with ecologists due to its ability to incorporate important factors of the habitat patch network such as connectivity and distance between patches as well as heterogeneity in patch characteristics. We present an asymptotic examination of a simple type of SPOM called the mainland-island model. In this model a single patch called the mainland is connected to a large number of smaller patches called islands and each island is only connected to the mainland. We discuss the limiting behaviour of the SPOM as the number of islands increases and the size of the islands decrease relative to the mainland. We demonstrate that a variety of limiting behaviours is possible depending on the scaling of the island size and on the heterogeneity of habitat quality.

Mesh:

Year:  2011        PMID: 21626365     DOI: 10.1007/s00285-011-0429-1

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  5 in total

1.  Metapopulation theory for fragmented landscapes.

Authors:  Ilkka Hanski; Otso Ovaskainen
Journal:  Theor Popul Biol       Date:  2003-08       Impact factor: 1.570

2.  Convergence of a structured metapopulation model to Levins's model.

Authors:  A D Barbour; A Pugliese
Journal:  J Math Biol       Date:  2004-04-23       Impact factor: 2.259

3.  Asymptotically exact analysis of stochastic metapopulation dynamics with explicit spatial structure.

Authors:  Otso Ovaskainen; Stephen J Cornell
Journal:  Theor Popul Biol       Date:  2005-10-24       Impact factor: 1.570

4.  Exact asymptotic analysis for metapopulation dynamics on correlated dynamic landscapes.

Authors:  Stephen J Cornell; Otso Ovaskainen
Journal:  Theor Popul Biol       Date:  2008-07-25       Impact factor: 1.570

5.  Analysis of a stochastic SIR epidemic on a random network incorporating household structure.

Authors:  Frank Ball; David Sirl; Pieter Trapman
Journal:  Math Biosci       Date:  2009-12-22       Impact factor: 2.144

  5 in total
  2 in total

1.  Connecting deterministic and stochastic metapopulation models.

Authors:  A D Barbour; R McVinish; P K Pollett
Journal:  J Math Biol       Date:  2015-03-04       Impact factor: 2.259

2.  The limiting behaviour of a stochastic patch occupancy model.

Authors:  R McVinish; P K Pollett
Journal:  J Math Biol       Date:  2012-07-31       Impact factor: 2.259

  2 in total

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