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Filters: partyWithName: Brianne E Brussee (X) > Types: Downloadable (X)

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This raster represents a continuous surface of sage-grouse habitat suitability index (HSI) values for northeastern California. HSIs were calculated for spring (mid-March to June), summer (July to mid-October), and winter (November to March) sage-grouse seasons, and then multiplied together to create this composite dataset.
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Predicted common raven (Corvus corax) impacts within greater sage-grouse (Centrocercus urophasianus) concentration areas across the Great Basin, USA, 2007–2016. Predicted impacts were based on a raven density of great than or equal to 0.40 (ravens per square kilometer) which corresponded to below-average survival rates of sage-grouse nests. These data support the following publication: Coates, P.S., O'Neil, S.T., Brussee, B.E., Ricca, M.A., Jackson, P.J., Dinkins, J.B., Howe, K.B., Moser, A.M., Foster, L.J. and Delehanty, D.J., 2020. Broad-scale impacts of an invasive native predator on a sensitive native prey species within the shifting avian community of the North American Great Basin. Biological Conservation,...
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Predictions of raven occurrence in the absence of anthropogenic environmental effects. 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.
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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 the winter season (November to March), and is a surrogate for habitat conditions during periods of cold and snow.
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Map of cumulative 38-day nest survival predicted from a Bayesian hierarchical shared frailty model of sage-grouse nest fates. The midpoint of coefficient conditional posterior distributions of 38-day nest survival were used for prediction at each 30 meter pixel across the landscape.
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Predictions of raven occurrence in the absence of natural environmental effects. 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.
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Ranked index of model-projected nest site selection integrated with nesting productivity (i.e., nest survival), demonstrating the spatial distribution of adaptive vs. maladaptive habitat selection at each 30 m pixel. Hierarchical models of nest selection and survival were fit to landscape covariates within a Bayesian modeling framework in Nevada and California from 2009 through 2017 to develop spatially explicit information about nest site selection and survival consequences across the landscape. Habitat was separated into 16 classes ranking from high (1) to low (16). Habitat ranked highest where the top nest selection and survival classes intersected (adaptive selection), whereas the lowest rank occurred where...
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This raster represents a 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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This shapefile represents proposed management categories (Core, Priority, General, and Non-Habitat) derived from the intersection of habitat suitability categories and lek space use. Habitat suitability categories were derived from a composite, continuous surface of sage-grouse habitat suitability index (HSI) values for northeastern California formed from the multiplicative product of the spring (mid-March to June), summer (July to mid-Octoer), and winter (November to March) HSI surfaces.
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This raster represents a continuous surface of sage-grouse habitat suitability index (HSI) values for northeastern California during spring (mid-March to June), which is a surrogate for habitat conditions during the sage-grouse breeding and nesting period.
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This raster represents a continuous surface of sage-grouse habitat suitability index (HSI) values for northeastern California during the winter season (November to March), and is a surrogate for habitat conditions during periods of cold and snow.
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This shapefile represents proposed management categories (Core, Priority, General, and Non-Habitat) derived from the intersection of habitat suitability categories and lek space use. Habitat suitability categories were derived from a composite, continuous surface of sage-grouse habitat suitability index (HSI) values for northeastern California formed from the multiplicative product of the spring (mid-March to June), summer (July to mid-October), and winter (November to March) HSI surfaces.
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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 formed from the multiplicative product of the spring (mid-March to June), summer (July to mid-October), and winter (November to March) HSI surfaces.
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Map of nesting habitat selection scores predicted from a resource selection function (RSF) developed from sage-grouse nest locations. Nest site selection was modeled using a generalized linear mixed model of used and random locations in a Bayesian modeling environment, and the midpoint of coefficient conditional posterior distributions were used for prediction. Continuous values were reclassified and ranked using a percent isopleth approach with respect to observed nest locations.
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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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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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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.
map background search result map search result map Raven study site locations in the Great Basin, derived from survey locations 2007 - 2016 Predicted probability of raven occurrence across the Great Basin, USA, 2007 – 2016 (Fig. 3) Predictions of raven occurrence in the absence of natural environmental effects in the Great Basin, 2007-2016 (Fig. 4A) Predictions of raven occurrence in the absence of anthropogenic environmental effects in the Great Basin, 2007-2016 (Fig. 4B) Prediction of raven occurrence intersected with high impact areas for sage-grouse populations in the Great Basin, 2007-2016 (Fig. 5A) Anthropogenic influence on raven occurrence index within sage-grouse concentration areas in the Great Basin, 2007-2016 (Fig. 5B) Composite Habitat Categories Shapfile Composite Habitat Suitability Index Raster Dataset Composite Management Categories Shapefile Spring Season Habitat Categories Shapefile Spring Season Habitat Suitability Index Raster Dataset Summer Season Habitat Categories Shapefile Summer Season Habitat Suitability Index Raster Dataset Winter Season Habitat Categories Shapefile Winter Season Habitat Suitability Index Raster Dataset Raven Impacts within Greater Sage-grouse Concentration Areas within the Great Basin Region of the United States 2007 - 2016 Greater Sage-grouse Nest Survival, Nevada and California 2019 Greater Sage-grouse Nest Selection, Nevada and California 2019 Greater Sage-grouse Nest Site Source-Sink, Nevada and California 2019 Raven Occurrence and Density in the Great Basin Region of the Western United States (2007-2019) Composite Habitat Suitability Index Raster Dataset Spring Season Habitat Suitability Index Raster Dataset Summer Season Habitat Suitability Index Raster Dataset Winter Season Habitat Suitability Index Raster Dataset Winter Season Habitat Categories Shapefile Spring Season Habitat Categories Shapefile Composite Habitat Categories Shapfile Composite Management Categories Shapefile Summer Season Habitat Categories Shapefile Greater Sage-grouse Nest Selection, Nevada and California 2019 Greater Sage-grouse Nest Site Source-Sink, Nevada and California 2019 Greater Sage-grouse Nest Survival, Nevada and California 2019 Raven study site locations in the Great Basin, derived from survey locations 2007 - 2016 Raven Impacts within Greater Sage-grouse Concentration Areas within the Great Basin Region of the United States 2007 - 2016 Prediction of raven occurrence intersected with high impact areas for sage-grouse populations in the Great Basin, 2007-2016 (Fig. 5A) 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) Predictions of raven occurrence in the absence of natural environmental effects in the Great Basin, 2007-2016 (Fig. 4A) Predictions of raven occurrence in the absence of anthropogenic environmental effects in the Great Basin, 2007-2016 (Fig. 4B) Raven Occurrence and Density in the Great Basin Region of the Western United States (2007-2019)