Skip to main content
Advanced Search

Filters: Contacts: {oldPartyId:17044} (X) > partyWithName: Ecosystems (X) > Categories: Data Release - Revised (X) > partyWithName: Fort Collins Science Center (X)

3 results (42ms)   

View Results as: JSON ATOM CSV
thumbnail
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...
thumbnail
Genetic networks can characterize complex genetic relationships among groups of individuals, which can be used to rank nodes most important to the overall connectivity of the system. Ranking allows scarce resources to be guided towards nodes integral to connectivity. The greater sage-grouse (Centrocercus urophasianus) is a species of conservation concern that breeds on spatially discrete leks that must remain connected by genetic exchange for population persistence. We genotyped 5,950 individuals, from 1,200 greater sage-grouse leks distributed across the entire species’ geographic range. We found a small world network composed of 458 nodes connected by 14,481 edges that are described here. The files associated...
thumbnail
Functional connectivity, quantified using landscape genetics, can inform conservation through the identification of factors linking genetic structure to landscape mechanisms. We used breeding habitat metrics, landscape attributes, and indices of grouse abundance, to compare fit between structural connectivity and genetic differentiation within five long-established Sage-Grouse Management Zones (MZ) I–V using microsatellite genotypes from 6,009 greater sage-grouse (Centrocercus urophasianus) collected across their range. We estimated structural connectivity using a circuit theory-based approach where we built resistance surfaces using thresholds dividing the landscape into “habitat” and “nonhabitat” and nodes were...


    map background search result map search result map Genetic and functional connectivity data for greater sage-grouse across the species range generated 2005–2015 (ver. 2.0, December 2022) Genetic data and genetic network attributes for rangewide Greater Sage-grouse network constructed in 2018 (ver. 2.0, December 2022) Microsatellite data, boundaries of subpopulation centers, and estimated effective migration for greater sage-grouse collected in western North America between 1992 and 2015 (ver. 2.0, December 2022) Genetic and functional connectivity data for greater sage-grouse across the species range generated 2005–2015 (ver. 2.0, December 2022) Genetic data and genetic network attributes for rangewide Greater Sage-grouse network constructed in 2018 (ver. 2.0, December 2022) Microsatellite data, boundaries of subpopulation centers, and estimated effective migration for greater sage-grouse collected in western North America between 1992 and 2015 (ver. 2.0, December 2022)