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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, All tags...
biota,
boundaries,
graph theory,
habitat connectivity,
hierarchical sampling units,
population monitoring, Fewer tags
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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, All tags...
biota,
boundaries,
graph theory,
habitat connectivity,
hierarchical sampling units,
population monitoring, Fewer tags
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These data were generated for a cooperative project created by an agreement between the Federal Lands and Highways, Central Federal Lands Division (FLH-CFL) and the USGS Fort Collins Science Center (Colorado; https://www.fort.usgs.gov/) to facilitate development of spatially explicit natural resources and socioeconomic information for utilization during comprehensive transportation planning efforts. Federal Lands Highways (FLH) is the federal agency that helps guide and support transportation planning at national, regional, and state levels, including providing funding, information, and tools to state transportation planners. FLH is currently undertaking a series of pilot studies aimed at improving the availability,...
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Abstract: The data in this data series represent a set of multi-band rasters, each containing 20 bioclimatic variables for the continental United States for the years 1895 - 2008.Staff at the U.S. Geological Survey, Fort Collins Science Center developed these raster layers using 4-km time series data developed by the PRISM Climate Group at Oregon State University. The original climate data for these rasters came from multiple climate station point measurements. Using these station measurements, the PRISM group produced interpolated climate grids which became the inputs in the algorithm used by the USGS to derive the bioclimatic variables. The values within each raster band were produced using an algorithmic...
Tags: Annual Mean Temperature,
Annual Precipitation,
Bioclimatic Variables,
Climate Averages,
Climate Time Series, All tags...
Grid cell,
Isothermality,
Max Temperature of Warmest Month,
Mean Diurnal Range,
Mean Temperature of Coldest Quarter,
Mean Temperature of Driest Quarter,
Mean Temperature of Warmest Quarter,
Mean Temperature of Wettest Quarter,
Min Temperature of Coldest Month,
Precipitation Seasonality (CV),
Precipitation of Coldest Quarter,
Precipitation of Driest Month,
Precipitation of Driest Quarter,
Precipitation of Warmest Quarter,
Precipitation of Wettest Month,
Precipitation of Wettest Quarter,
Temperature,
Temperature Annual Range,
Temperature Seasonality (CV),
Temperature Seasonality (Standard Deviation),
raster data, Fewer tags
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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, All tags...
Landscape change,
Multiple stressors,
Oil and gas development,
United States,
WLCI,
WY,
Wyoming,
Wyoming Landscape Conservation Initiative,
biota,
climatologyMeteorologyAtmosphere,
environment, Fewer tags
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