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Book chapter 1468 views

Quantifying individual differences in dispersal using net squared displacement

Luca Borger Orcid Logo, John Fryxell

Dispersal Ecology and Evolution, Pages: 222 - 230

Swansea University Author: Luca Borger Orcid Logo

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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spelling 2013-12-14T02:36:40.2557826 v2 16636 2013-12-14 Quantifying individual differences in dispersal using net squared displacement 8416d0ffc3cccdad6e6d67a455e7c4a2 0000-0001-8763-5997 Luca Borger Luca Borger true false 2013-12-14 SBI 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. Book chapter Dispersal Ecology and Evolution 222 230 Oxford University Press Dispersal, Animal movements, Movement ecology 31 12 2012 2012-12-31 http://ukcatalogue.oup.com/product/9780199608898.do COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University 2013-12-14T02:36:40.2557826 2013-12-14T02:25:21.6065908 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Luca Borger 0000-0001-8763-5997 1 John Fryxell 2
title Quantifying individual differences in dispersal using net squared displacement
spellingShingle Quantifying individual differences in dispersal using net squared displacement
Luca Borger
title_short Quantifying individual differences in dispersal using net squared displacement
title_full Quantifying individual differences in dispersal using net squared displacement
title_fullStr Quantifying individual differences in dispersal using net squared displacement
title_full_unstemmed Quantifying individual differences in dispersal using net squared displacement
title_sort Quantifying individual differences in dispersal using net squared displacement
author_id_str_mv 8416d0ffc3cccdad6e6d67a455e7c4a2
author_id_fullname_str_mv 8416d0ffc3cccdad6e6d67a455e7c4a2_***_Luca Borger
author Luca Borger
author2 Luca Borger
John Fryxell
format Book chapter
container_title Dispersal Ecology and Evolution
container_start_page 222
publishDate 2012
institution Swansea University
publisher Oxford University Press
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
url http://ukcatalogue.oup.com/product/9780199608898.do
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description 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.
published_date 2012-12-31T03:19:01Z
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score 11.013776

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