title: Integrating individual movement behaviour into dispersal functions.
abstract: Dispersal functions are an important tool for integrating dispersal into complex models of population and metapopulation dynamics. Most approaches in the literature are very simple, with the dispersal functions containing only one or two parameters which summarise all the effects of movement behaviour as for example different movement patterns or different perceptual abilities. The summarising nature of these parameters makes assessing the effect of one particular behavioural aspect difficult. We present a way of integrating movement behavioural parameters into a particular dispersal function in a simple way. Using a spatial individual-based simulation model for simulating different movement behaviours, we derive fitting functions for the functional relationship between the parameters of the dispersal function and several details of movement behaviour. This is done for three different movement patterns (loops, Archimedean spirals, random walk). Additionally, we provide measures which characterise the shape of the dispersal function and are interpretable in terms of landscape connectivity. This allows an ecological interpretation of the relationships found.
authors.affiliation: Department of Ecological Modelling, UFZ-Centre for Environmental Research Leipzig Halle, UFZ, P.O. Box 500136, 04301 Leipzig, Germany. simone.heinz@fa.uib.no
authors.forename: Simone K
authors.initials: SK
authors.lastname: Heinz
authors.forename: Christian
authors.initials: C
authors.lastname: Wissel
authors.forename: Larissa
authors.initials: L
authors.lastname: Conradt
authors.forename: Karin
authors.initials: K
authors.lastname: Frank
mesh_terms: D000818:Animals; D001522:Behavior, Animal; D003198:Computer Simulation; D008433:Mathematics; D008954:Models, Biological; D009026:Mortality; D009068:Movement; D010465:Perception; D011157:Population Dynamics; D013269:Stochastic Processes