Hierarchical population structure in greater sage-grouse provides insight into management boundary delineation

Todd B. Cross, David E. Naugle, John C. Carlson, Michael K. Schwartz

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Understanding population structure is important for guiding ongoing conservation and restoration efforts. The greater sage-grouse (Centrocercus urophasianus) is a species of concern distributed across 1.2 million km2 of western North America. We genotyped 1499 greater sage-grouse from 297 leks across Montana, North Dakota and South Dakota using a 15 locus microsatellite panel, then examined spatial autocorrelation, spatial principal components analysis, and hierarchical Bayesian clustering to identify population structure. Our results show that at distances of up to ~240 km individuals exhibit greater genetic similarity than expected by chance, suggesting that the cumulative effect of short-range dispersal translates to long-range connectivity. We found two levels of hierarchical genetic subpopulation structure. These subpopulations occupy significantly different elevations and are surrounded by divergent vegetative communities with different dominant subspecies of sagebrush, each with its own chemical defense against herbivory. We propose five management groups reflective of genetic subpopulation structure. These genetic groups are largely synonymous with existing priority areas for conservation. On average, 85.8 % of individuals within each conservation priority area assign to a distinct subpopulation. Our results largely support existing management decisions regarding subpopulation boundaries.

    Original languageEnglish
    Pages (from-to)1417-1433
    Number of pages17
    JournalConservation Genetics
    Volume17
    Issue number6
    DOIs
    StatePublished - Dec 1 2016

    Keywords

    • Centrocercus urophasianus
    • Genetic diversity
    • Microsatellites
    • Non-invasive sampling
    • Spatial principal components analysis

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