Stochastic models for mainland-island metapopulations in static and dynamic landscapes.
This paper has three primary aims: to establish an effective means for modelling mainland-island metapopulations inhabiting a dynamic landscape; to investigate the effect of immigration and dynamic changes in habitat on metapopulation patch occupancy dynamics; and to illustrate the implications of our results for decision-making and population management. We first extend the mainland-island metapopulation model of Alonso and McKane [Bull. Math. Biol. 64:913-958, 2002] to incorporate a dynamic landscape. It is shown, for both the static and the dynamic landscape models, that a suitably scaled version of the process converges to a unique deterministic model as the size of the system becomes large. We also establish that, under quite general conditions, the density of occupied patches, and the densities of suitable and occupied patches, for the respective models, have approximate normal distributions. Our results not only provide us with estimates for the means and variances that are valid at all stages in the evolution of the population, but also provide a tool for fitting the models to real metapopulations. We discuss the effect of immigration and habitat dynamics on metapopulations, showing that mainland-like patches heavily influence metapopulation persistence, and we argue for adopting measures to increase connectivity between this large patch and the other island-like patches. We illustrate our results with specific reference to examples of populations of butterfly and the grasshopper Bryodema tuberculata.
Ross
J V
JV
Department of Mathematics, University of Queensland, Queensland, 4072, Australia. jvr@maths.uq.edu.au
D000465:Algorithms; D000818:Animals; D002080:Butterflies / Q000254:growth & development; D017753:Ecosystem; D006110:Grasshoppers / Q000254:growth & development; D008390:Markov Chains; D008954:Models, Biological; D011156:Population Density; D011157:Population Dynamics; D013269:Stochastic Processes