Novel statistical methods for integrating genetic and stable isotope data to infer individual-level migratory connectivity

Author:

Rundel Colin W.12,Wunder Michael B.3,Alvarado Allison H.45,Ruegg Kristen C.36,Harrigan Ryan4,Schuh Andrew7,Kelly Jeffrey F.8,Siegel Rodney B.9,DeSante David F.9,Smith Thomas B.45,Novembre John510

Affiliation:

1. Department of Statistical Sciences; Duke University; Durham NC 27708 USA

2. Department of Statistics; University of California, Los Angeles; Los Angeles CA 90095 USA

3. Department of Integrative Biology; University of Colorado, Denver; Denver CO 80217 USA

4. Center for Tropical Research Institute of the Environment and Sustainability; University of California, Los Angeles; Los Angeles CA 90095 USA

5. Department of Ecology and Evolutionary Biology; University of California, Los Angeles; Los Angeles CA 90095 USA

6. Department of Ecology and Evolutionary Biology; University of California, Santa Cruz; Santa Cruz CA 95064 USA

7. Cooperative Institute for Research in the Atmosphere (CIRA); Fort Collins CO 80523 USA

8. Oklahoma Biological Survey and Department of Biology; Ecology and Evolutionary Biology Program; University of Oklahoma; Norman OK 73019 USA

9. The Institute for Bird Populations; Point Reyes Station CA 94956 USA

10. Department of Human Genetics; Chicago IL 60637 USA

Publisher

Wiley

Subject

Genetics,Ecology, Evolution, Behavior and Systematics

Reference61 articles.

1. Amante C Eakins B 2009 ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis Tech. Rep., National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce Los Angeles, CA

2. Introduction: the past and present of migratory connectivity;Boulet;Ornithological Monographs,2006

3. Global application of stable hydrogen and oxygen isotopes to wildlife forensics;Bowen;Oecologia,2005

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