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Sage-grouse habitat areas divided into proposed management categories within Nevada and California project study boundaries. HABITAT CATEGORY DETERMINATION The process for category determination was directed by the Nevada Sagebrush Ecosystem Technical team. Sage-grouse habitat was determined from a statewide resource selection function model and first categorized into 4 classes: high, moderate, low, and non-habitat. The standard deviations (SD) from a normal distribution of RSF values created from a set of validation points (10% of the entire telemetry dataset) were used to categorize habitat ‘quality’ classes. 1) High quality habitat comprised pixels with RSF values < 0.5 SD. 2) Moderate > 0.5 and < 1.0 SD. 3)...
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Escalated wildfire activity within the western U.S. has widespread societal impacts and long-term consequences for the imperiled sagebrush (Artemisia spp.) biome. Shifts from historical fire regimes and the interplay between frequent disturbance and invasive annual grasses may initiate permanent state transitions as wildfire frequency outpaces sagebrush communities’ innate capacity to recover. Therefore, wildfire management is at the core of conservation plans for sagebrush ecosystems, especially critical habitat for species of conservation concern such as the greater sage-grouse (Centrocercus urophasianus; hereafter sage-grouse). Fuel breaks help facilitate wildfire suppression by modifying behavior through fuels...
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These data represent predicted common raven (Corvus corax) density (ravens/square-km) derived from random forest models given field site unit-specific estimates of raven density that were obtained from hierarchical distance sampling models at 43 field site units within the Great Basin region, USA. Fifteen landscape-level predictors summarizing climate, vegetation, topography and anthropogenic footprint were used to predict average raven density at each unit. A raven density of greater than or equal to 0.40 ravens/square-km corresponds to below-average survival rates of sage-grouse (Centrocercus urophasianus) nests. We mapped areas which exceed this threshold within sage-grouse concentration areas to determine where...
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Raster layers depicting the distribution of possible ecological traps to sage-grouse based on the intersection of conifer cover-classes 1 (Greater than 0 up to 10 percent) and 2 (11 up to 20 percent) with high resistance and resilience, and ecological traps within sage-grouse concentration areas and ecological traps in sage-grouse habitat.
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These data represent an resource selection function (RSF) for translocated sage-grouse in North Dakota during the summer. 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,...
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SPACE USE INDEX CALCULATION Lek coordinates and associated trend count data were obtained from the 2013 Nevada Sage-grouse Lek Database compiled by the Nevada Department of Wildlife (NDOW, S. Espinosa, 9/10/2013). We queried the database for leks with a ‘LEKSTATUS’ field classified as ‘Active’ or ‘Pending’. Active leks comprised leks with breeding males observed within the last 5 years. Pending leks comprised leks without consistent breeding activity during the prior 3 – 5 surveys or had not been surveyed during the past 5 years; these leks typically trended towards ‘inactive’. A sage-grouse management area (SGMA) was calculated by buffering Population Management Units developed by NDOW by 10km. This included leks...
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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.
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These data represent an resource selection function (RSF) for translocated sage-grouse in North Dakota during the brooding 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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We use locations from previously released radio-marked greater sage-grouse (Centrocercus urophasianus; hereafter sage-grouse) in a resource selection function framework to evaluate habitat selection following translocation and identify areas of seasonal habitat to inform habitat management and potential restoration needs. We also evaluate possible changes in seasonal habitat since the late 1980s using spatial data provided by the Rangeland Analysis Platform coupled with resource selection modeling results. Our results serve as critical baseline information for habitat used by translocated individuals across life stages in this study area, and will inform future evaluations of population performance and potential...
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Sage-grouse habitat areas divided into proposed management categories within Nevada and California project study boundaries. MANAGEMENT CATEGORY DETERMINATION The process for category determination was directed by the Nevada Sagebrush Ecosystem Technical team. Sage-grouse habitat was determined from a statewide resource selection function model and first categorized into 4 classes: high, moderate, low, and non-habitat. The standard deviations (SD) from a normal distribution of RSF values created from a set of validation points (10% of the entire telemetry dataset) were used to categorize habitat ‘quality’ classes. High quality habitat comprised pixels with RSF values < 0.5 SD, Moderate > 0.5 and < 1.0 SD, Low...
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Conservation planning efforts for sagebrush ecosystems of western North America increasingly focus on enhancing operational resilience though decision-support tools that link spatially explicit variation in soil and plant processes to outcomes of biotic and abiotic disturbances spanning large spatial extents. However, failure to consider higher trophic-level fauna (e.g. wildlife) in these tools can hinder efforts to operationalize resilience owing to spatiotemporal lags between slower reorganization of plant and soil processes following disturbance, and faster behavioral and demographic responses of fauna to disturbance. These spatial products provide additional examples for managers of sagebrush ecosystems and...
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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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This raster represents a continuous surface of sage-grouse habitat probability values for Nevada and California. These values are derived from modeling the resource selection function (RSF) for the region (see supplemental information in the Open File Report cited below for more details). Higher values indicate a higher probability of quality sage-grouse habitat. NOTE: This file does not include habitat for the Bi-State management area. This dataset is associated with the following Open-File Report; Coates, P.S., Casazza, M.L., Brussee, B.E., Ricca, M.A., Gustafson, K.B., Overton, C.T., Sanchez-Chopitea, E., Kroger, T., Mauch, K., Niell, L., Howe, K., Gardner, S., Espinosa, S., and Delehanty, D.J., 2014, Spatially...
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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...
    map background search result map search result map Sage-grouse Management Categories in Nevada and NE California (August 2014) Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Sage-grouse Habitat Suitability Index in Nevada and NE California (August 2014) Space Use Index (SUI) for the Greater Sage-grouse in Nevada and NE California (August 2014) Simulation to evaluate response of population models to annual trends in detectability Additional Mapping Tools for Great Basin Wildfire and Conifer Management to Increase Operational Resilience: Integrating Sagebrush Ecosystem and Sage-grouse Response Possible Ecological Traps to Sage-grouse in the Bistate Region of California and Nevada Data Maps of Predicted Raven Density and Areas of Potential Impact to Nesting Sage-grouse within Sagebrush Ecosystems of the North American Great Basin Geospatial Information and Predictive Maps of Greater Sage-grouse Habitat Selection in Southwestern North Dakota, USA Annual RSF of Translocated Greater Sage-grouse in North Dakota, 2017 - 2018 Brooding RSF of Translocated Greater Sage-grouse in North Dakota, 2017 - 2018 Nesting RSF of Translocated Greater Sage-grouse in North Dakota, 2017 - 2018 Summer RSF of Translocated Greater Sage-grouse in North Dakota, 2017 - 2018 Predictive Maps of Fuel Break Effectiveness by Treatment Type and Underlying Resilience to Disturbance and Resistance to Invasion Across the Western U.S. Geospatial Information and Predictive Maps of Greater Sage-grouse Habitat Selection in Southwestern North Dakota, USA Annual RSF of Translocated Greater Sage-grouse in North Dakota, 2017 - 2018 Brooding RSF of Translocated Greater Sage-grouse in North Dakota, 2017 - 2018 Nesting RSF of Translocated Greater Sage-grouse in North Dakota, 2017 - 2018 Summer RSF of Translocated Greater Sage-grouse in North Dakota, 2017 - 2018 Possible Ecological Traps to Sage-grouse in the Bistate Region of California and Nevada Space Use Index (SUI) for the Greater Sage-grouse in Nevada and NE California (August 2014) Simulation to evaluate response of population models to annual trends in detectability Sage-grouse Management Categories in Nevada and NE California (August 2014) Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Sage-grouse Habitat Suitability Index in Nevada and NE California (August 2014) Additional Mapping Tools for Great Basin Wildfire and Conifer Management to Increase Operational Resilience: Integrating Sagebrush Ecosystem and Sage-grouse Response Data Maps of Predicted Raven Density and Areas of Potential Impact to Nesting Sage-grouse within Sagebrush Ecosystems of the North American Great Basin Predictive Maps of Fuel Break Effectiveness by Treatment Type and Underlying Resilience to Disturbance and Resistance to Invasion Across the Western U.S.