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Filters: Tags: Great Basin (X) > Extensions: Raster (X) > partyWithName: Western Ecological Research Center (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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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP8.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
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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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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 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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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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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 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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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP4.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2010-2040 normal period) under the RCP4.5 emission scenario. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for current climate (defined as the 1980-2010 normal period). Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation seasonality (coefficient of variation...
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2010-2040 normal period) under the RCP8.5 emission scenario. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...


    map background search result map search result map 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 Principal components of climate variation in the Desert Southwest for the future time period 2010-2040 (RCP 8.5) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 4.5) Principal components of climate variation in the Desert Southwest for the time period 1980-2010 Principal components of climate variation in the Desert Southwest for the future time period 2010-2040 (RCP 4.5) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) 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) Median Estimates of Impact Potential from Geothermal Energy Production Activities on Greater Sage-Grouse Populations in Nevada and California (2022) 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 Median Estimates of Impact Potential from Geothermal Energy Production Activities on Greater Sage-Grouse Populations in Nevada and California (2022) 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 Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 4.5) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) Principal components of climate variation in the Desert Southwest for the time period 1980-2010 Principal components of climate variation in the Desert Southwest for the future time period 2010-2040 (RCP 8.5) Principal components of climate variation in the Desert Southwest for the future time period 2010-2040 (RCP 4.5) Raven Occurrence and Density in the Great Basin Region of the Western United States (2007-2019)