Editorial: The Least Cost Path From Landscape Genetics to Landscape Genomics: Challenges and Opportunities to Explore NGS Data in a Spatially Explicit Context

Affiliations

¹ USDA Forest Service, Rocky Mountain Research Station, Flagstaff, AZ, United States.
² Climate Impacts Group, University of Washington, Seattle, WA, United States.
³ Forest Ecosystems and Society, Oregon State University, Corvallis, OR, United States.
⁴ Ecosystem Science and Management, University of Wyoming, Laramie, WY, United States.
⁵ Center for Environmental Science, Virginia Commonwealth University, Richmond, VA, United States.
⁶ Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Editorial

Samuel A Cushman et al. Front Genet. 2018.

. 2018 Jun 19:9:215.

doi: 10.3389/fgene.2018.00215. eCollection 2018.

¹ USDA Forest Service, Rocky Mountain Research Station, Flagstaff, AZ, United States.
² Climate Impacts Group, University of Washington, Seattle, WA, United States.
³ Forest Ecosystems and Society, Oregon State University, Corvallis, OR, United States.
⁴ Ecosystem Science and Management, University of Wyoming, Laramie, WY, United States.
⁵ Center for Environmental Science, Virginia Commonwealth University, Richmond, VA, United States.
⁶ Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

No abstract available

Keywords: ecological genetics; landscape genetics; landscape genomics; next generation sequencing; spatial genetics.

Comment on

The Editorial on the Research Topic The Least Cost Path From Landscape Genetics to Landscape Genomics: Challenges and Opportunities to Explore NGS Data in a Spatially Explicit Context

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