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Characterizing genetic structure across a species’ range is relevant for management and conservation as it can be used to define population boundaries and quantify connectivity. Here, we characterized population structure and estimated effective migration in Greater Sage-grouse (Centrocercus urophasianus). Our objectives were to (1) describe large-scale patterns of population genetic structure and gene flow and (2) to characterize genetic subpopulation centers across the range of Greater Sage-grouse. Samples from 2,134 individuals were genotyped at 15 microsatellite loci. Using standard STRUCTURE and spatial principal components analyses, we found evidence for four or six areas of large-scale genetic differentiation...
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Monitoring change in genetic diversity in wildlife populations across multiple scales could facilitate prioritization of conservation efforts. We used microsatellite genotypes from 7,080 previously collected genetic samples from across the greater sage-grouse (Centrocercus urophasianus) range to develop a modelling framework for estimating genetic diversity within a recently developed hierarchically nested monitoring framework (clusters). The majority of these genetic samples (n=6560) were used in previous research (Oyler-McCance et al. 2014; Cross et. al 2018; Row et. al. 2018). Genetic diversity values associated with clusters across multiple scales could facilitate the identification of areas with low genetic...
Categories: Data;
Tags: California,
Canada,
Colorado,
Idaho,
Montana, All tags...
Nevada,
North Dakota,
Oregon,
Saskatchewan,
South Dakota,
USGS Science Data Catalog (SDC),
Utah,
Washington,
Wyoming,
biota,
birds,
genetics,
greater sage-grouse,
microsatellites,
western United States, Fewer tags
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Genetic variation is a well-known indicator of population fitness yet is not typically included in monitoring programs for sensitive species. Additionally, most programs monitor populations at one scale, which can lead to potential mismatches with ecological processes critical to species’ conservation. Recently developed methods generating hierarchically nested population units (i.e., clusters of varying scales) for greater sage-grouse (Centrocercus urophasianus) have identified population trend declines across spatiotemporal scales to help managers target areas for conservation. The same clusters used as a proxy for spatial scale can alert managers to local units (i.e., fine-scale) with low genetic diversity relative...
Categories: Data Release - Revised;
Tags: California,
Centrocercus urophasianus,
Colorado,
Greater sage-grouse,
Idaho, All tags...
Montana,
Nevada,
North Dakota,
Oregon,
South Dakota,
USGS Science Data Catalog (SDC),
United States,
Utah,
Washington,
Wyoming,
adaptive management,
biota,
boundaries,
conservation genetics,
genetic diversity,
genetic monitoring,
hierarchical sampling units,
population monitoring,
western United States, Fewer tags
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Conserving genetic connectivity is fundamental to species persistence, yet rarely is made actionable into spatial planning for imperiled species. Climate change and habitat degradation have added urgency to embrace connectivity into networks of protected areas. Our two-step process integrates a network model with a functional connectivity model, to identify population centers important to maintaining genetic connectivity then to delineate those pathways most likely to facilitate connectivity thereamong for the greater sage-grouse (Centrocercus urophasianus); a species of conservation concern ranging across eleven western U.S. states and into two Canadian provinces. This replicable process yielded spatial action...
Tags: Ecology,
USGS Science Data Catalog (SDC),
Western North America,
Wildlife Biology,
biological population management, All tags...
genetic diversity,
geospatial analysis,
protected areas,
spatial analysis,
wildlife biology,
wildlife population management, Fewer tags
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