Using multilevel models to identify drivers of landscape-genetic structure among management areas-Reference-Cited by-同舟云学术

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Using multilevel models to identify drivers of landscape-genetic structure among management areas

Published:2013-06-04 Issue:14 Volume:22 Page:3752-3765
ISSN:0962-1083
Container-title:Molecular Ecology
language:en
Short-container-title:Mol Ecol

Author:

Dudaniec Rachael Y.¹,Rhodes Jonathan R.¹,Worthington Wilmer Jessica²,Lyons Mitchell¹,Lee Kristen E.³,McAlpine Clive A.¹,Carrick Frank N.³

Affiliation:

1. School of Geography; Planning and Environmental Management; The University of Queensland; Brisbane QLD 4072 Australia

2. Natural Environments Program; Queensland Museum; PO Box 3300 South Brisbane QLD 4101 Australia

3. Centre for Mined Land Rehabilitation; Sustainable Minerals Institute; The University of Queensland; Brisbane QLD 4072 Australia

Publisher

Wiley

Subject

Genetics,Ecology, Evolution, Behavior and Systematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/mec.12359/fullpdf

Reference85 articles.

1. Modelling climate-change-induced shifts in the distribution of the koala;Adams-Hosking;Wildlife Research,2011

2. Information Theory and an Extension of the Maximum Likelihood Principle

3. Considering spatial and temporal scale in landscape-genetic studies of gene flow;Anderson;Molecular Ecology,2010

4. Molecular road ecology: exploring the potential of genetics for investigating transportation impacts on wildlife;Balkenhol;Molecular Ecology,2009

5. Optimal predictive model selection;Barbieri;Annals of Statistics,2004

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