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Statistical methods in spatial genetics |
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| Authors: | GILLES GUILLOT RAPHAËL LEBLOIS AURÉLIE COULON ALAIN C FRANTZ |
| Institution: | 1. Department of Informatics and Mathematical Modelling, Technical University of Denmark, Copenhagen, Denmark,;2. Département Systématique et évolution, Muséum National d'Histoire Naturelle, UMR7205 MNHN/CNRS, Paris, France,;3. Département écologie et Gestion de la Biodiversité, Muséum National d'Histoire Naturelle, UMR 7179 MNHN/CNRS, Brunoy, France,;4. Department of Animal & Plant Sciences, University of Sheffield, Sheffield, UK |
| Abstract: | The joint analysis of spatial and genetic data is rapidly becoming the norm in population genetics. More and more studies explicitly describe and quantify the spatial organization of genetic variation and try to relate it to underlying ecological processes. As it has become increasingly difficult to keep abreast with the latest methodological developments, we review the statistical toolbox available to analyse population genetic data in a spatially explicit framework. We mostly focus on statistical concepts but also discuss practical aspects of the analytical methods, highlighting not only the potential of various approaches but also methodological pitfalls. |
| Keywords: | conservation genetics habitat degradation population ecology population genetics – empirical population genetics – theoretical wildlife management |