Filters: Tags: Greater Sage-Grouse (X) > Types: Map Service (X) > Types: OGC WFS Layer (X)
76 results (51ms)
Filters
Date Range
Extensions Types
Contacts
Categories Tag Types
|
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)...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Biota, Boundaries, Environment,
Greater sage-grouse,
Habitat,
Nevada,
Sage-Grouse,
This dataset contains landscape-scale greater sage-grouse Preliminary General Habitat. Specifically, it represents the remaining Sagebrush, Perennial grassland, Conifer encroachment, and some Persistence greater than 25% not accounted for in the 2012 Preliminary Priority Habitat dataset (Version 2 - April 2012). A combination of Key Habitat (Sather-Blair et al., 2000; ISAC 2006; BLM 2012), important winter and breeding habitat, local priority areas (spatially identified by the local working groups, BLM, IDFG biologists), known migration movement corridors, the revised 2011PA polygons, and exclusion of modeled agricultural and timber lands were used to further refine the 2012 Preliminary Priority Habitat (PPH) and...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: General Areas,
Sage-Grouse,
biota,
greater sage-grouse,
sage grouse
A GAP Analysis uses GIS layers provided by the GAP Analysis Program (species distribution models, stewardship data) to determine which areas within a species distribution have protected status and to identify possible conservation gaps. This GAP Analysis was conducted for Greater Sage-grouse within the boundary of the Southern Rockies LCC. About 7.6% of the Sage-grouse's total predicted distribution is within the SRLCC (based on GAP distribution models). There are four products in this ScienceBase item: an Excel spreadsheet with analysis data (see list below), a GIF image map of the SRLCC (displaying predicted sage-grouse distribution and areas with protected status), a map package containing the GIS layers used...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Gap Analysis,
Greater Sage-Grouse
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,
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,
Estimated potential for sage-grouse movement among sage-grouse leks (Circuitscape; McRae 2006). Rescaled HSI values were used as a measure of landscape resistance
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Connectivity,
Data,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Environment and Conservation,
Federal resource managers,
This project will apply the results of an on-going climate change vulnerability assessment to the management of two complex landscapes. The vulnerability assessment project team will work with mangers, land-owners, and conservation practitioners to explore 1) how downscaled climate datasets, modeled vegetation changes, and information on estimated species sensitivities can be used to develop climate change adaptation strategies, and 2) how model results and datasets can be made more useful for informing the management of species and landscapes. To accomplish these two goals, we will prepare datasets and model outputs for two landscapespotentially, the Pioneer Mountains-Craters of the Moon region in Idaho and the...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Climate Change,
Columbia Basin,
Columbia Plateau,
Connectivity,
Conservation Plan/Design/Framework,
This data set defines boundaries of oil and gas project areas, greater sage-grouse (Centrocercus urophasianus) core areas, and non-core and non-project areas within the Wyoming Landscape Conservation Initiative (WLCI; southwestern Wyoming). Specifically, the data represents results from the manuscript “Combined influences of future oil and gas development and climate on potential Sage-grouse declines and redistribution” for high oil and gas development, low population size, and no climate component. The oil and gas development scenario were based on an energy footprint model that simulates well, pad, and road patterns for oil and gas recovery options that vary in well types (vertical and directional) and number...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climate,
Cumulative effects,
Distribution,
Greater sage-grouse,
Individual based model,
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,
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,
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.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Great Basin,
Greater sage-grouse,
Habitat,
Nevada,
Greater sage-grouse genetic connectivity is essential to the species persistence across the Great Northern landscape; without such connectivity the greater sage-grouse may suffer the same fate as many other related species of grouse, which disappeared from the middle and eastern portion of the United States due to loss of habitat coupled with inbreeding depression. To prevent isolation in the face of energy development and other landscape changes it is essential that we evaluate both fine-scale connectivity and assign relative importance to different leks (breeding populations) on the landscape. This massive task cannot be accomplished with existing tools and maps; fortunately, advanced molecular genomic analyses...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
AZ-1,
Academics & scientific researchers,
Alberta,
Arizona,
This data set defines boundaries of oil and gas project areas, greater sage-grouse (Centrocercus urophasianus) core areas, and non-core and non-project areas within the Wyoming Landscape Conservation Initiative (WLCI; southwestern Wyoming). Specifically, the data represents results from the manuscript “Combined influences of future oil and gas development and climate on potential Sage-grouse declines and redistribution” for low oil and gas development, low population size, and with effects of climate change under an RCP 8.5 scenario (2050). The oil and gas development scenario were based on an energy footprint model that simulates well, pad, and road patterns for oil and gas recovery options that vary in well types...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climate,
Cumulative effects,
Distribution,
Greater sage-grouse,
Individual based model,
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,
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,
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,
This metadata references the polygonal ARC/INFO GIS cover showing the current and historic distribution of potential habitat, or range, of the Greater Sage-grouse (Centrocercus urophasianus) and Gunnison Sage-grouse (Centrocercus minimus) in Western North America. This data was initially researched and compiled by Dr. Michael A. Schroeder, research biologist for the Washington State Department of Fish and Wildlife. The initial draft of current and historic range data was mapped and submitted to state, federal, or provincial natural resource agencies and other experts for review, comment, and editing. The final product represents the best available science and expert review available at the time of compilation.Definition...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alberta,
Biology and Ecology,
Bird Conservation,
California,
Canada,
Habitat similarity index (HSI) values for greater sage-grouse across their western range. HSI values represent the relationship of environmental values at map locations to the multivariate model of minimum requirements for sage-grouse deļ¬ned by land cover, anthropogenic variables, soil, topography, and climate.
Conclusions: Report identifies regional patterns of habitat disturbance, land use practices, and population trends relative to greater sage-grouse. In general, the most important landscape characteristics influencing sage-grouse populations are the proximity of leks (areas in which males perform to nesting habitat for and The report examined findings from studies that indicate several area and distance specific conservation thresholds for maintaining viable sage-grouse habitat. Thresholds/Learnings: Male sage-grouse prefer sod-forming grasses or bare ground for leks; female sage-grouse prefer dense sagebrush stands surrounding leks for nesting; gentle terrain characterized by <10% slope; <5% of existing sagebrush...
Categories: Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alberta,
Greater sage-grouse,
Land use configuration,
Landscape fragmentation,
Montana,
This data set contains landscape-scale greater sage-grouse Preliminary Priority Habitat. A combination of Key Habitat (Sather-Blair et al., 2000; ISAC 2006; BLM 2012), important winter and breeding habitat, local priority areas (spatially identified by the local working groups, BLM, IDFG biologists), known migration movement corridors, the revised 2011PA polygons, and exclusion of modeled agricultural and timber lands were used to further refine the 2012 Preliminary Priority Habitat (PPH) boundaries. PPH includes three categories: 1)Sagebrush, and two priority restoration areas - (2) Perrennial grasslands, and (3) Conifer encroachment areas (see below). Specific information on methodology, etc. can be found in the...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: General Areas,
Idaho,
greater sage-grouse,
sage-grouse
|
|