Detecting spatial genetic signatures of local adaptation in heterogeneous landscapes-Reference-Cited by-同舟云学术

Detecting spatial genetic signatures of local adaptation in heterogeneous landscapes

Published:2015-12-12 Issue:1 Volume:25 Page:104-120
ISSN:0962-1083
Container-title:Molecular Ecology
language:en
Short-container-title:Mol Ecol

Author:

Forester Brenna R.¹^ORCID,Jones Matthew R.²,Joost Stéphane³^ORCID,Landguth Erin L.²,Lasky Jesse R.⁴⁵

Affiliation:

1. Nicholas School of the Environment; University Program in Ecology; Duke University; Durham NC 27708 USA

2. Division of Biological Sciences; University of Montana; Missoula MT 59812 USA

3. Ecole Polytechnique Fédérale de Lausanne (EPFL); School of Architecture, Civil and Environmental Engineering (ENAC); Laboratory of Geographic Information Systems (LASIG); CH-1015 Lausanne Switzerland

4. Earth Institute, and Department of Ecology, Evolution & Environmental Biology; Columbia University; New York NY 10027 USA

5. Department of Biology; Pennsylvania State University; University Park PA 16802 USA

Funder

Katherine Goodman Stern Fellowship

Graduate School, Duke University

National Science Foundation Graduate Research Fellowship

Canadian Institute of Ecology and Evolution (CIEE)

American Genetics Association (AGA)

Publisher

Wiley

Subject

Genetics,Ecology, Evolution, Behavior and Systematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/mec.13476/fullpdf

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3. EASYPOP (Version 1.7): a computer program for population genetics simulations;Balloux;Journal of Heredity,2001

4. Gene flow past a cline;Barton;Heredity,1979

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