Quantifying functional connectivity: The role of breeding habitat, abundance, and landscape features on range‐wide gene flow in sage‐grouse

Author:

Row Jeffrey R.1ORCID,Doherty Kevin E.2,Cross Todd B.34,Schwartz Michael K.3,Oyler‐McCance Sara J.5,Naugle Dave E.4,Knick Steven T.6,Fedy Bradley C.1

Affiliation:

1. School of Environment, Resources and Sustainability University of Waterloo Waterloo ON Canada

2. U.S. Fish and Wildlife Service Lakewood CO USA

3. Rocky Mountain Research Station USDA Forest Service National Genomics Center for Wildlife and Fish Conservation Missoula MT USA

4. College of Forestry and Conservation University of Montana Missoula MT USA

5. Fort Collins Science Center U.S. Geological Survey Fort Collins CO USA

6. Forest and Rangeland Ecosystem Science Center U.S. Geological Survey Boise ID USA

Funder

U.S. Fish and Wildlife Service

U.S. Geological Survey

U.S. Bureau of Land Management

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

General Agricultural and Biological Sciences,Genetics,Ecology, Evolution, Behavior and Systematics

Reference81 articles.

1. Akaike H.(1973).Information theory and an extension of the maximum likelihood principle 267–281. Proceedings 2nd International Symposium on Information Theory.

2. Range-wide patterns of greater sage-grouse persistence

3. Considering spatial and temporal scale in landscape-genetic studies of gene flow

4. A comparison of sample types varying in invasiveness for use in DNA sex determination in an endangered population of greater Sage-Grouse (Centrocercus uropihasianus)

5. J. C. Chambers J. L. Beck J. B. Bradford J. Bybee S. Campbell J. Carlson A. Wuenschel 2017 U.S Department of Agriculture Forest Service Rocky Mountain Research Station Fort Collins CO 360

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