Abstract
AbstractLong-distance dispersal (LDD) has long been recognized as a key factor in determining rates of spread in biological invasions. Two approaches for incorporating LDD in mathematical models of spread are mixed dispersal and heavy-tailed dispersal. In this paper, I analyze integrodifference equation (IDE) models with mixed-dispersal kernels and fat-tailed (a subset of the heavy-tailed class) dispersal kernels to study how short- and long-distance dispersal contribute to the spread of invasive species. I show that both approaches can lead to biphasic range expansions, where an invasion has two distinct phases of spread. In the initial phase of spread, the invasion is controlled by short-distance dispersal. Long-distance dispersal boosts the speed of spread during the ultimate phase, and can have significant effects even when the probability of LDD is vanishingly small. For fat-tailed kernels, I introduce a method of characterizing the “shoulder” of a dispersal kernel, which separates the peak and tail.
Publisher
Springer Science and Business Media LLC
Subject
Ecological Modeling,Ecology
Reference41 articles.
1. Allee WC (1938) The Social Life of Animals. Norton & Company, inc, New York, W.W
2. Beverton RJH, Holt SJ (1957) On the dynamics of exploited fish populations no. 2 in fishery investigations. Her Majesty’s Stationary Office, London, UK
3. Bingham NH, Goldie CM, Omey E (2006) Regularly varying probability densities. Publications de l’Institut Mathématique. Nouv Sér 80:47–57
4. Bracewell RN (1986) The Fourier Transform and Its Applications. McGraw Hill, New York
5. Bullock JM, Clarke RT (2000) Long distance seed dispersal by wind: measuring and modelling the tail of the curve. Oecologia 124:506–521
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献