This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 30
Type: Contributed
Date/Time: Sunday, August 1, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #308142
Title: Model-Based Approaches for Characterizing Environmental Effects on Spatial Genetic Flow
Author(s): Ephraim M. Hanks*+ and Mevin B. Hooten
Companies: Utah State University and Utah State University
Address: 393 E. 200 S., Logan, UT, 84321,
Keywords: Multiple imputation ; Landscape Genetics ; Spatial Model ; Mule Deer
Abstract:

Landscape genetics is the study of the effects of landscape on genetic diversity, but current landscape genetic studies often link inference made on spatial genetic boundaries to landscape features in a post-hoc way. We present a general approach that formalizes links between genetic boundaries and landscape features of interest. This approach builds on existing statistical models for landscape genetics and lends itself to optimal sampling methods. We illustrate the approach through a landscape genetic study of mule deer in Utah and Colorado.


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