Browsing by Subject "highly clustered networks"

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    Effects of spatial network structure on competitive coexistence in a metacommunity
    (2009-05) Hannay, Kevin M.; Tim Keitt
    Species dispersal patterns are often assumed to take place on a uniform environment and do not allow species to move through a habitat without effecting the dynamics locally. We examine the effects of migration network topology on a the outcome of competitive interactions between two competing species which may disperse non-uniformly and are allowed to jump between habitats without effecting the populations between. We develop a perturbation model for a fully- connected migration network and apply this approximate model to networks with highly clustered subsets. We show that highly clustered networks allow for the coexistence of competitors and that these coexistence states disappear quickly when the highly clustered networks are randomly rewired. Moreover, we examine the effect of migration network topology on the colonization of habitat by an invasive species and show the relation between this problem and our previous results.