title: Landscape resistance and habitat combine to provide an optimal model of genetic structure and connectivity at the range margin of a small mammal.
abstract: We evaluated the effect of habitat and landscape characteristics on the population genetic structure of the white-footed mouse. We develop a new approach that uses numerical optimization to define a model that combines site differences and landscape resistance to explain the genetic differentiation between mouse populations inhabiting forest patches in southern Québec. We used ecological distance computed from resistance surfaces with Circuitscape to infer the effect of the landscape matrix on gene flow. We calculated site differences using a site index of habitat characteristics. A model that combined site differences and resistance distances explained a high proportion of the variance in genetic differentiation and outperformed models that used geographical distance alone. Urban and agriculture-related land uses were, respectively, the most and the least resistant landscape features influencing gene flow. Our method detected the effect of rivers and highways as highly resistant linear barriers. The density of grass and shrubs on the ground best explained the variation in the site index of habitat characteristics. Our model indicates that movement of white-footed mouse in this region is constrained along routes of low resistance. Our approach can generate models that may improve predictions of future northward range expansion of this small mammal.
authors: Redpath Museum, McGill University, 859 Sherbrooke Street W., Montréal, Québec, Canada, H3A 0C4; Department of Biology, McGill University, 1205 Ave Docteur Penfield, Montréal, Québec, Canada, H3A 1B1.
authors: R R
authors: RR
authors: Marrotte
authors: A
authors: A
authors: Gonzalez
authors: V
authors: V
authors: Millien
mesh_terms: D000383:Agriculture; D000818:Animals; D002947:Cities; D017753:Ecosystem; D051456:Gene Flow; D005828:Genetics, Population; D005843:Geography; D016014:Linear Models; D010542:Peromyscus / Q000235:genetics*; D045483:Rivers; D062206:Spatial Analysis
keywords: Peromyscus leucopus; connectivity; gene flow; landscape resistance; local habitat