Filters: Tags: Centrocercus urophasianus (X) > partyWithName: Fort Collins Science Center (X)

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Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 7 (Wyoming), Interim wy_lvl7_coarsescale: Wyoming hierarchical cluster level 7 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, United States, Wyoming, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 2 (Wyoming), Interim wy_lvl2_finescale: Wyoming hierarchical cluster level 2 (fine-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, United States, Wyoming, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags 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 State-and-Transition Simulation Models, parameters, input data, and simulation results This is a spatially-explicit state-and-transition simulation model (STSM) of sagebrush-steppe vegetation dynamics for greater sage-grouse (Centrocercus urophasianus) Priority Areas for Conservation (PACs) in the Great Basin. The STSM was built using the ST-Sim platform and uses an integrated stock-flow submodel (STSM-SF) to simulate and track continuous vegetation component cover changes caused by annual growth, natural regeneration, and post-fire sagebrush seeding and planting restoration. Spatially explicit models were built for three sage-grouse PACs (Klamath Oregon/California [KLAM], NW Interior Nevada [NWINV], Strawberry Utah [STRAW]) that differed in historic wildfire patterns and the amounts of various component... Tags: California, Centrocercus urophasianus, Greater sage-grouse, Klamath OR/CA Priority Area for Conservation, NW Interior NV Priority Area for Conservation, All tags... Nevada, Oregon, Sagebrush biome, Simulation model, Strawberry Priority Area for Conservation, United States, Utah, annual grass cover, biota, environment, perennial grass cover, pinyon-juniper cover, post-fire restoration, sage-grouse habitat, sagebrush cover, sagebrush revegetation, state-and-transition simulation model, vegetation change, Fewer tags NW-Interior Nevada time series (2018-2068) of potential habitat and 50-year change Potential future greater sage-grouse (Centrocercus urophasianus) habitat restoration was projected (2018-2068) for three sage-grouse Priority Area for Conservation (PACs) populations located along the northwestern, central, and eastern edge of the Great Basin using outputs from a spatially explicit state-transition simulation model (STSM) developed for sagebrush ecosystems. These datasets, for the NW-Interior Nevada, USA (NWINV) sage-grouse population, include: 1) a set of 78 categorical raster layers illustrating a time series (decade intervals) of potential future habitat, and 2) a set of 15 uncategorized raster layers illustrating potential change in habitat classification across space, after simulating 50 years... Tags: Centrocercus urophasianus, Greater sage-grouse, NW-Interior Nevada Priority Area for Conservation, Nevada, Sagebrush biome, All tags... United States, biota, environment, perennial grass cover, post-fire restoration, sage-grouse habitat, sagebrush cover, sagebrush revegetation, state-and-transition simulation model, vegetation change, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Nevada and Wyoming, Interim We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different population growth rates among smaller clusters. Equally so, the spatial structure and ecological... Tags: Centrocercus urophasianus, Greater sage-grouse, Nevada, USGS Science Data Catalog (SDC), United States, All tags... Wyoming, adaptive management, biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 6 (Nevada), Interim nv_lvl6_coarsescale: Nevada hierarchical cluster level 6 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, Nevada, United States, Wyoming, All tags... adaptive management, biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 8 (Wyoming), Interim wy_lvl8_coarsescale: Wyoming hierarchical cluster level 8 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, United States, Wyoming, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 1 (Wyoming), Interim wy_lvl1_finescale: Wyoming hierarchical cluster level 1 (fine-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, United States, Wyoming, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 4 (Wyoming), Interim wy_lvl4_moderatescale: Wyoming hierarchical cluster level 4 (moderate-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, United States, Wyoming, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 5 (Wyoming), Interim wy_lvl5_coarsescale: Wyoming hierarchical cluster level 5 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, United States, Wyoming, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 7 (Nevada), Interim nv_lvl7_coarsescale: Nevada hierarchical cluster level 7 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, Nevada, United States, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 2 (Nevada), Interim nv_lvl2_finescale: Nevada hierarchical cluster level 2 (fine-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, Nevada, United States, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 6 (Wyoming), Interim wy_lvl6_coarsescale: Wyoming hierarchical cluster level 6 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, United States, Wyoming, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 9 (Wyoming), Interim wy_lvl9_coarsescale: Wyoming hierarchical cluster level 9 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, United States, Wyoming, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, 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 State-and-Transition Simulation Models to explore post-fire habitat restoration in three greater sage-grouse (Centrocercus urophasianus) Priority Areas for Conservation, USA (2018-2068) Wildfires are increasingly modifying wildlife habitat in the western United States and managers need ways to scope the pace and degree to which post-fire restoration actions can re-create habitat in dynamic landscapes. We simulated post-fire revegetation and greater sage-grouse (Centrocercus urophasianus) habitat restoration using a spatially explicit state-transition simulation model (STSM) developed for sagebrush ecosystems. The STSM represented the vegetation dynamics of the sagebrush ecosystem and included annual fires, annual grass invasion, conifer encroachment, and sagebrush revegetation restoration. We compared simulated vegetation output with sage-grouse perennial grass and sagebrush cover habitat needs... Tags: California, Centrocercus urophasianus, Ecology, Greater sage-grouse, Klamath OR/CA Priority Area for Conservation, All tags... NW Interior NV Priority Area for Conservation, Nevada, Oregon, Sagebrush biome, Strawberry Priority Area for Conservation, USGS Science Data Catalog (SDC), United States, Utah, annual grass cover, biota, environment, perennial grass cover, pinyon-juniper cover, post-fire restoration, sage-grouse habitat, sagebrush cover, sagebrush revegetation, state-and-transition simulation model, vegetation change, Fewer tags Simulation to evaluate response of population models to annual trends in detectability In 'Simulation to evaluate response of population models to annual trends in detectability', we provide data and R code necessary to create simulation scenarios and estimate trends with different population models (Monroe et al. 2019). Literature cited: Monroe, A. P., G. T. Wann, C. L. Aldridge, and P. S. Coates. 2019. The importance of simulation assumptions when evaluating detectability in population models. Ecosphere 10(7):e02791. 10.1002/ecs2.2791, http://onlinelibrary.wiley.com/doi/10.1002/ecs2.2791/full. Categories: Data; Tags: Centrocercus urophasianus, Ecology, Nevada, USGS Science Data Catalog (SDC), United States, All tags... bias, biota, detection process, environment, population models, population trends, sage-grouse, Fewer tags Strawberry Utah time series (2018-2068) of potential habitat and 50-year change Potential future greater sage-grouse (Centrocercus urophasianus) habitat restoration was projected (2018-2068) for three sage-grouse Priority Area for Conservation (PACs) populations located along the northwestern, central, and eastern edge of the Great Basin using outputs from a spatially explicit state-transition simulation model (STSM) developed for sagebrush ecosystems. These datasets, for the Strawberry Utah, USA (STRAW) sage-grouse population, include: 1) a set of 78 categorical raster layers illustrating a time series (decade intervals) of potential future habitat, and 2) a set of 15 uncategorized raster layers illustrating potential change in habitat classification across space, after simulating 50 years... Tags: Centrocercus urophasianus, Greater sage-grouse, Sagebrush biome, Strawberry Priority Area for Conservation, United States, All tags... Utah, biota, environment, perennial grass cover, post-fire restoration, sage-grouse habitat, sagebrush cover, sagebrush revegetation, state-and-transition simulation model, vegetation change, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 1 (Nevada), Interim We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different population growth rates among smaller clusters. Equally so, the spatial structure and ecological... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, Nevada, United States, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags 1 2 »