Molecular Estimation of Dispersal for Ecology and Population Genetics

被引:222
作者
Broquet, Thomas [1 ]
Petit, Eric J. [2 ,3 ]
机构
[1] Univ Lausanne, Dept Ecol & Evolut, CH-1015 Lausanne, Switzerland
[2] Univ Rennes 1, INRA Agrocampus Ouest, UMR BiO3P 1099, F-35653 Domaine De La Motte, Le Rheu, France
[3] Univ Rennes 1, CNRS, UMR ECOBIO 6553, F-35042 Rennes, France
关键词
backward dispersal; dispersal distance; gene flow; genetic inference; migration rate; SEX-BIASED DISPERSAL; MEASURABLY EVOLVING POPULATIONS; MAXIMUM-LIKELIHOOD-ESTIMATION; RECENT MIGRATION RATES; POLLEN DISPERSAL; NATAL DISPERSAL; SEED DISPERSAL; DEMOGRAPHIC PARAMETERS; 2-GENERATION ANALYSIS; ISLAND MODEL;
D O I
10.1146/annurev.ecolsys.110308.120324
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The dispersal process, by which individuals or other dispersing agents such as gametes or seeds move from birthplace to a new settlement locality, has important consequences for the dynamics of genes, individuals, and species. Many of the questions addressed by ecology and evolutionary biology require a good understanding of species' dispersal patterns. Much effort has thus been devoted to overcoming the difficulties associated with dispersal measurement. In this context, genetic tools have long been the focus of intensive research, providing a great variety of potential solutions to measuring dispersal. This methodological diversity is reviewed here to help (molecular) ecologists find their way toward dispersal inference and interpretation and to stimulate further developments.
引用
收藏
页码:193 / 216
页数:24
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