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Location Folder Show Tree ROOT _Users Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Contacts Michael S O'Donnell U.S. Geological Survey Fort Collins Science Center Peter S Coates Julie A Heinrichs More... Tag Types Place (2) Theme (2) Harvest Set (2) USGS Scientific Topic Keyword (2) Tag Schemes None (2) ISO 19115 Topic Category (2) View Results as: JSON ATOM CSV Browse Folder

Greater sage-grouse population structure and connectivity data to inform the development of hierarchical population units (western United States) We present five hierarchical demarcations of greater sage-grouse population structure, representing the spatial structure of populations which can exist due to differences in dispersal abilities, landscape configurations, and mating behavior. These demarcations represent Thiessen polygons of graph constructs (least-cost path [LCP] minimum spanning trees [MST; LCP-MST]) representing greater sage-grouse population structure. Because the graphs included locational information of sage-grouse breeding sites, we have provided polygons of the population structure. We also present two results using graph analytics representing node/connectivity importance based on our population structure. Understanding wildlife population... Tags: California, Centrocercus urophasianus, Colorado, Idaho, Montana, All tags... Nevada, North Dakota, Oregon, South Dakota, USGS Science Data Catalog (SDC), United States, Utah, Washington, Wildlife Biology, Wyoming, biota, centrality measures, connectivity (structural, functional, potential), greater sage-grouse, least-cost paths, population structure, western United States, Fewer tags Hierarchically nested and biologically relevant range-wide monitoring frameworks for greater sage-grouse, western United States We produced 13 hierarchically nested cluster levels that reflect the results from developing a hierarchical monitoring framework for greater sage-grouse across the western United States. Polygons (clusters) within each cluster level group a population of sage-grouse leks (sage-grouse breeding grounds) and each level increasingly groups lek clusters from previous levels. We developed the hierarchical clustering approach by identifying biologically relevant population units aimed to use a statistical and repeatable approach and include biologically relevant landscape and habitat characteristics. We desired a framework that was spatially hierarchical, discretized the landscape while capturing connectivity (habitat... Tags: California, Centrocercus urophasianus, Colorado, Ecology, Greater sage-grouse, All tags... Idaho, Montana, Nevada, North Dakota, Oregon, South Dakota, USGS Science Data Catalog (SDC), United States, Utah, Washington, Wyoming, adaptive management, biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, western United States, Fewer tags