Filters: partyWithName: Peter S Coates (X) > partyWithName: Todd B Cross (X)

Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Contacts Fort Collins Science Center Shawna J Zimmerman Sara J Oyler-McCance Bradley C Fedy Brian G Prochazka More... Categories Data (1) Data Release - Revised (1) Tag Types Place (2) Theme (2) Harvest Set (2) Tag Schemes None (1) Common geographic areas (1) USGS Thesaurus (1) ISO 19115 Topic Category (2) View Results as: JSON ATOM CSV

Genotypes and cluster definitions for a range-wide greater sage-grouse dataset collected 2005-2017 (ver 1.1, January 2023) 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 Greater sage-grouse genetic warning system, western United States (ver 1.1, January 2023) 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