JSM 2011 Online Program

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Abstract Details

Activity Number: 138
Type: Contributed
Date/Time: Monday, August 1, 2011 : 8:30 AM to 10:20 PM
Sponsor: Section on Statistics and the Environment
Abstract - #303186
Title: Spatial Models for Bird Origin Assignment Using Genetic and Isotopic Data
Author(s): Colin Witter Rundel*+ and John Novembre and Michael Wunder and Andrew Schuh
Companies: University of California at Los Angeles and University of California at Los Angeles and University of Colorado at Denver and Colorado State University
Address: 3410 Club Dr, Los Angeles, CA, 90064, US
Keywords: ecology ; spatial ; bayesian ; genetic ; isotope ; computation
Abstract:

In bird species with large migratory ranges it is often of interest to determine the spatial origin of a particular individual or group of individuals. These data has traditionally been collected through direct observation, e.g. banding or satellite tracking, which tends to be difficult, time consuming, and expensive. Recent work has used genetic or isotopic data to infer these spatial origins with some success, however these results tend to lack sufficient specificity to be useful for many applications. Our work seeks to improve the efficacy of these existing methods by improving spatial predictions of bird origin by combining genetic and isotopic models. This talk will focus on the underlying details of the Bayesian spatial models including specific improvements we have made, as well as approaches for efficient computation. We will also discuss the inclusion of additional spatial information in refining prediction, such as the use of species distribution models as prior information for bird origin.


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