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Filters: partyWithName: Peter S Coates (X) > partyWithName: U.S. Geological Survey - ScienceBase (X) > Types: Map Service (X)

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Nevada and northeastern California conifer features were classified from 2010, 2012, and 2013 NAIP Digital Ortho Quarter Quads (DOQQs) using the Feature Analyst 5.0 extension for ArcGIS 10.1. DOQQs were organized and grouped by Nevada Department of Wildlife Population Management Unit (PMU) locations, plus a 10 km area beyond the PMU extent. The polygons in this file represent dissolved boundaries of NAIP DOQQ polygons that were associated with the nearest PMU that they intersected. Many DOQQs had to be assigned to a PMU manually because they occurred beyond the original PMU boundary or fell along the boundary between two or more PMUs. Larger PMUs, such as Monitor and Quinn, were divided into smaller, more manageable,...
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This shapefile represents habitat suitability categories (High, Moderate, Low, and Non-Habitat) derived from a composite, continuous surface of sage-grouse habitat suitability index (HSI) values for northeastern California during summer (July to mid-October)¸ which is a surrogate for habitat conditions during the sage-grouse brood-rearing period.
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We generated a spatially explicit map of categories of expected occurrence and density associated with predicted concentrations of resident and transient common ravens (Corvus corax; ravens) using the residuals from a generalized linear regression between the occurrence and density parameters. These data support the following publication: Webster, S.C., O'Neil, S.T., Brussee, B.E., Coates, P.S., Jackson, P.J., Tull, J.C. and Delehanty, D.J., 2021. Spatial modeling of common raven density and occurrence helps guide landscape management within Great Basin sagebrush ecosystems. Human–Wildlife Interactions, 15(3), p.10. https://doi.org/10.26077/djza-3976.
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These data are a habitat restoration index based on the intersection of loss of habitat selected by sage-grouse and loss of habitat contributions to nest survival following wildfire.
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These data are the result of an intersection between a surface representing the delta-finite rate of population change and another surface representing Greater Sage-grouse abundance and space-use. It was used to rank candidate sites according to greatest potential impact to Greater Sage-grouse populations resulting from the presence of geothermal energy activity. In 2022, candidate geothermal sites were identified in Nevada and eastern California, then buffered by 10 kilometers. While the extent of the overall raster layer encompasses a very large swath of the western US, data values are limited to fall within these 10 kilometer buffers. These data support the following publications: Coates, P.S., Prochazka, B.G.,...
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nv_lvl3_moderatescale: Nevada hierarchical cluster level 3 (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 in...
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wy_lvl10_coarsescale: Wyoming hierarchical cluster level 10 (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...
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nv_lvl5_coarsescale: Nevada 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...
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These data represent an resource selection function (RSF) for translocated sage-grouse in North Dakota during the nesting season. Human enterprise has led to large‐scale changes in landscapes and altered wildlife population distribution and abundance, necessitating efficient and effective conservation strategies for impacted species. Greater sage‐grouse (Centrocercus urophasianus; hereafter sage‐grouse) are a widespread sagebrush (Artemisia spp.) obligate species that has experienced population declines since the mid‐1900s resulting from habitat loss and expansion of anthropogenic features into sagebrush ecosystems. Habitat loss is especially evident in North Dakota, USA, on the northeastern fringe of sage‐grouse’...
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nv_lvl4_moderatescale: Nevada 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 in...
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wy_lvl3_moderatescale: Wyoming hierarchical cluster level 3 (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...
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Predictions of an anthropogenic influence on raven occurrence index intersected with sage-grouse concentration areas. The anthropogenic influence index indicates where resource subsidies are contributing the most to raven occurrence.
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These data represent an annual resource selection function (RSF) for translocated sage-grouse in North Dakota. Human enterprise has led to large‐scale changes in landscapes and altered wildlife population distribution and abundance, necessitating efficient and effective conservation strategies for impacted species. Greater sage‐grouse (Centrocercus urophasianus; hereafter sage‐grouse) are a widespread sagebrush (Artemisia spp.) obligate species that has experienced population declines since the mid‐1900s resulting from habitat loss and expansion of anthropogenic features into sagebrush ecosystems. Habitat loss is especially evident in North Dakota, USA, on the northeastern fringe of sage‐grouse’ distribution, where...
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Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the mean of the predicted posterior distribution for raven occurrence was used to visualize results.
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An index of anthropogenic influences on raven populations. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions.


map background search result map search result map High resolution conifer classification by Population Management Unit (PMU) index and accuracy assessment of Nevada and northeastern California (2017) Predicted probability of raven occurrence across the Great Basin, USA, 2007 – 2016 (Fig. 3) Anthropogenic influence index for raven populations in the Great Basin, 2007-2016 (Fig. 4C) Anthropogenic influence on raven occurrence index within sage-grouse concentration areas in the Great Basin, 2007-2016 (Fig. 5B) Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 3 (Nevada), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 4 (Nevada), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 5 (Nevada), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 10 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 3 (Wyoming), Interim Summer Season Habitat Categories Shapefile Annual RSF of Translocated Greater Sage-grouse in North Dakota, 2017 - 2018 Nesting RSF of Translocated Greater Sage-grouse in North Dakota, 2017 - 2018 Raven Occurrence and Density in the Great Basin Region of the Western United States (2007-2019) Habitat Restoration Index for Greater Sage-Grouse in the Virginia Mountains, Nevada (2018) Median Estimates of Impact Potential from Geothermal Energy Production Activities on Greater Sage-Grouse Populations in Nevada and California (2022) Habitat Restoration Index for Greater Sage-Grouse in the Virginia Mountains, Nevada (2018) Annual RSF of Translocated Greater Sage-grouse in North Dakota, 2017 - 2018 Nesting RSF of Translocated Greater Sage-grouse in North Dakota, 2017 - 2018 Summer Season Habitat Categories Shapefile Median Estimates of Impact Potential from Geothermal Energy Production Activities on Greater Sage-Grouse Populations in Nevada and California (2022) High resolution conifer classification by Population Management Unit (PMU) index and accuracy assessment of Nevada and northeastern California (2017) Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 10 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 3 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 3 (Nevada), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 4 (Nevada), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 5 (Nevada), Interim Anthropogenic influence on raven occurrence index within sage-grouse concentration areas in the Great Basin, 2007-2016 (Fig. 5B) Predicted probability of raven occurrence across the Great Basin, USA, 2007 – 2016 (Fig. 3) Anthropogenic influence index for raven populations in the Great Basin, 2007-2016 (Fig. 4C) Raven Occurrence and Density in the Great Basin Region of the Western United States (2007-2019)