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Bull Math Biol. 2008 Aug;70(6):1790-826. doi: 10.1007/s11538-008-9325-2. Epub 2008 Jul 22.

Saddle-point approximations, integrodifference equations, and invasions.

Author information

1
Department of Applied Mathematics, University of Washington, Box 352420, Seattle, WA 98195-2420, USA, kot@amath.washington.edu

Abstract

Invasion, the growth in numbers and spatial spread of a population over time, is a fundamental process in ecology. Governments and businesses expend vast sums to prevent and control invasions of pests and pestilences and to promote invasions of endangered species and biological control agents. Many mathematical models of biological invasions use nonlinear integrodifference equations to describe the growth and dispersal processes and to predict the speed of invasion fronts. Linear models have received less attention, perhaps because they are difficult to simulate for large times. In this paper, we use the saddle-point method, alias the method of steepest descent, to derive asymptotic approximations for the solutions of linear integrodifference equations. We work through five examples, for Gaussian, Laplace, and uniform dispersal kernels in one dimension and for asymmetric Gaussian and radially symmetric Laplace kernels in two dimensions. Our approximations are extremely close to the exact solutions, even for intermediate times. We also employ an empirical saddle-point approximation to predict densities using dispersal data. We use our approximations to examine the effects of censored dispersal data on estimates of invasion speed and population density.

PMID:
18648885
DOI:
10.1007/s11538-008-9325-2
[Indexed for MEDLINE]

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