Inferring landscape effects on gene flow: A new model selection framework

Molecular Ecology

Volumn 19, Issue 17, 2010, Pages 3603-3619

  Shirk, A J ^a   Wallin, D O ^a   Cushman, S A ^b   Rice, C G ^c   Warheit, K I ^c  

^a WESTERN WASHINGTON UNIVERSITY   (United States)

^b ROCKY MOUNTAIN RESEARCH STATION   (United States)

^c WASHINGTON DEPARTMENT OF FISH AND WILDLIFE   (United States)

Author keywords

circuit theory; gene flow; isolation by distance; landscape resistance; mountain goat

Indexed keywords

ANIMAL; ARTICLE; BIOLOGICAL MODEL; ECOLOGY; ECOSYSTEM; GENE FLOW; GENETICS; GENOTYPE; GEOGRAPHY; GOAT; METHODOLOGY; POPULATION GENETICS; PRINCIPAL COMPONENT ANALYSIS; UNITED STATES;

ANIMALS; ECOLOGY; ECOSYSTEM; GENE FLOW; GENETICS, POPULATION; GENOTYPE; GEOGRAPHY; GOATS; MODELS, BIOLOGICAL; PRINCIPAL COMPONENT ANALYSIS; WASHINGTON;

CAPRA HIRCUS; OREAMNOS;

EID: 77956093703     PISSN: 09621083     EISSN: 1365294X     Source Type: Journal    
DOI: 10.1111/j.1365-294X.2010.04745.x     Document Type: Article

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58. WSDOT (2006) Washington State Department of Transportation Annual Traffic Report. Available from http://wsdot.wa.gov. Andrew Shirk and Samuel Cushman's research interests include understanding landscape effects on gene flow and genitic diversity, population dynamics, habitat modeling, and population viability analysis. David Wallin's research interests include remote sensing applications in ecology, habitat modeling, and landscape genetics. Cliff Rice's research interests include wildlife biology and conservation, population dynamics, and habitat modeling. Ken Warheit's research interests include population genetics, adaptive genetic variation, wildlife biology and conservation, and molecular systematics.