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Quantifying individual differences in dispersal using net squared displacement / Luca Borger; John Fryxell

Dispersal Ecology and Evolution, Pages: 222 - 230

Swansea University Author: Borger, Luca

Abstract

Quantifying individual differences and the phenotypic correlates of dispersal are of considerable interest for obtaining a better understanding of the mechanisms of dispersal. The aim of the chapter is to present a new approach for modelling animal dispersal, based on net squared displacement statis...

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Published in: Dispersal Ecology and Evolution
Published: Oxford University Press 2012
Online Access: http://ukcatalogue.oup.com/product/9780199608898.do
URI: https://cronfa.swan.ac.uk/Record/cronfa16636
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Abstract: Quantifying individual differences and the phenotypic correlates of dispersal are of considerable interest for obtaining a better understanding of the mechanisms of dispersal. The aim of the chapter is to present a new approach for modelling animal dispersal, based on net squared displacement statistics combined with a nonlinear hierarchical modelling framework. It allows efficient construction of accurate population redistribution kernels, quantification of individual differences in dispersal, and testing hypothesized correlates of the latter. The chapter is organised as follows. First, we explore the theoretical basis for using net squared displacement as a statistical modelling approach. This is followed by a simulation study to investigate the data requirements and power of the proposed method, ended by general conclusions.
Keywords: Dispersal, Animal movements, Movement ecology
College: College of Science
Start Page: 222
End Page: 230