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Current probability of occurrence model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from PRISM (Daly et al. 2004) averaged for the years 1971-2000.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: California,
California,
NPLCC,
Oregon,
Oregon,
This dataset represents the soil minimum depth (inches) from SSURGO and STATSGO soil descriptions for soil map units in the state of western Oregon that lie within the North Pacific Landscape Conservation Cooperative.
The British Columbia Marine Conservation Analysis (BCMCA) is a collaborative project assembling and analyzing spatial information about Canada's Pacific Ocean. The overall goal of the BCMCA is to identify marine areas of high conservation value and marine areas important to human use. Results of the project are intended to inform and help advance marine planning initiatives in BC by providing collaborative, peer-reviewed scientific analyses based on the best ecological and socio-economic spatial data at scales relevant to a BC coast-wide analysis.
Land & Resource Management Plan (L&RMP) Land Suitability Class This is a derived layer of forestland capability, suitability and availability for timber production. Water is assigned census or non-census water using the water bodies layer. Land is assigned to forest or non-forest using existing vegetation. Forestland both capable (productive) and other (non-productive) forestland, as well as non-forest are determined by CALVEG types (TABLE 38). Each CALVEG type is assigned a forest productivity code (TABLE 43). Suitability information is derived from productive forest CALVEG types that are available, minus the unsuitable forestlands (UNSU). Availability (TABLE 11) is derived by determining all forestland from CALVEG...
The Monthly Projected Soil Moisture at Top Layer (SMTP) data sets are part of the downscaled global climate models created for the 2008 California climate change assessment. These files are made from daily data and are monthly mean values in millimeters. SMTP layers have been created through a Bias Corrected Statistical Downscaling (BCSD) approach and are currently available for the cnrmcm3, gfdlcm21, ncarccsm3, and ncarpcm1 models under the A2 and B1 scenarios. The BCSD data cover 31.9375N to 43.9375N and 124.5625W to 113.0625W. The VIC grid is a 1/8th degree grid so this makes a "box" of 93 longitudes by 97 latitudes. The VIC computations are done over land only. For the 93x97 box there would be a total of 9021...
This dataset represents the soil texture from SSURGO and STATSGO soil descriptions for soil map units in the state of western Oregon that lie within the North Pacific Landscape Conservation Cooperative. Soil texture is the mineral particle size distribution of soil particles within a soil horizon. This dataset also documents rock fragments and organic matter that may contribute to water infiltration, storage and relocation within the surface horizons of the soil profile. For reference, see NRCS soil texture triangle: http://soils.usda.gov/technical/aids/investigations/texture/
This set of 4 rasters shows mean annual temperature (deg C * 10) for Western North America under the A1B Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America. These data, originally published here, were...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: 2020s,
2050s,
2080s,
A1B,
ClimateWNA,
Future density (birds per hectare) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Regional Climate Model v3 (RCM3) with boundary conditions driven by the Third Generation Coupled Global Climate Model (CGCM3) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: California,
NPLCC,
Oregon,
Washington,
birds,
This set of 4 rasters shows summer (Jun to Aug) precipitation (mm) for Western North America under the B1 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America. These data, originally published here, were...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: 2020s,
2050s,
2080s,
B1,
ClimateWNA,
This set of 4 rasters shows winter (Dec to Feb) precipitation (mm) for Western North America under the B1 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America. These data, originally published here, were...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: 2020s,
2050s,
2080s,
B1,
ClimateWNA,
This data represents the location of marinas and other facilities where power and sail boats can dock in coastal British Columbia. Included in this data are all marinas, coastal fuelling locations for pleasure boats, public wharves and small craft harbours, yacht clubs, fishing lodges and coastal ecotourism lodges with docks.
This data release consists of a compilation of previously published mineral potential maps that were used for the Sagebrush Mineral-Resource Assessment (SaMiRA) project. This information was used as guides for assessing mineral potential assessment of approximately 10 million acres in Idaho, Montana, Nevada, Utah, and Wyoming. Specifically, the compilation was used to identify the deposit types to be assessed and the deposit models to develop. The data release consists of georeferenced images of mineral potential maps and vector shapefiles of mineral potential tracts. The georeferenced images are presented in two formats: 1) as images within raster mosaic datasets in Esri geodatabases, and 2) as individual tiff...
Sagebrush ecosystems in North America have experienced extensive degradation since European settlement, and continue to further degrade from exotic invasive plants, greater fire frequency, intensive grazing practices, increased oil and gas development, climate change, and other factors. Remote sensing is often identified as a key information source to facilitate broad-area ecosystem-wide characterization, monitoring and analysis, however, approaches that characterize sagebrush with sufficient and accurate local detail across large areas to support ecosystem research and analysis are unavailable. We have developed a new remote sensing sagebrush ecosystem characterization approach for the state of Wyoming, U.S.A....
Grady Mann outline of the Prairie Pothole Region (PPR). This delineation is based on a map on page 2 from Mann, G. E. 1974. The Prairie Pothole Region - a zone of environmental opportunity. Naturalist 25(4):2-7.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Grady-Mann,
Northern Plains,
Northern Prairies,
PPR,
Prairie Pothole Region,
We performed a ground-based, interferometric, synthetic aperture radar (InSAR) survey of the Slumgullion landslide located in Hinsdale County, Colorado. The survey was performed 26 June 2010-1 July 2010 and utilized the IBIS-L InSAR system developed by IDS Corporation. Radar measurements were supplemented by hourly in-situ displacement, pore-water pressure, and rainfall measurements. In-situ displacement was measured using electronic cable extension transducers (extensometers) at three locations and GPS surveying at one location. Pore-water pressures were measured at three locations using electronic vibrating-wire pressure transducers (piezometers). Rainfall was measured at one location using a tipping-bucket rain...
Types: Citation;
Tags: Colorado,
Hinsdale County,
InSAR,
Slumgullion,
USGS Science Data Catalog (SDC),
The data contained in this file is one of several datasets produced in support of the project entitled “Classification and Mapping of Cave and Karst Resources” for the region encompassing the Appalachian Landscape Conservation Cooperative (LCC). The results of this project are divided into a series of geospatial information layers (shapefiles and raster data). The files provide a comprehensive overview of data availability on obligate cave-dwelling fauna and bat ranges useful for examining relationships between environmental factors and biological diversity and distribution within karst areas of the Appalachian LCC.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Appalachian LCC,
Appalachian Landscape Conservation Cooperative region,
boundary,
grid
This dataset is composed of 253 Differenced Normalized Burn Ratio (dNBR) images. Each dNBR represents a rough measure of fire-related vegetation change for wildfires (>400 ha) that occurred in the Sky Island Mountains within the Madrean Archipelago Ecoregion of the United States and Northern Mexico. These fires occurred between 1985 and 2011 and were mapped using Landsat 5 and Landsat 7 satellite imagery.
The data contained in this report was compiled, modified, and analyzed for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA). The WLCI is a long-term science based effort to assess and enhance aquatic and terrestrial habitats at a landscape scale in southwest Wyoming while facilitating responsible energy development through local collaboration and partnerships. The IA is an integrated synthesis and analysis of WLCI resource values based on best available data and information collected from multiple agencies and organizations. It is a support tool for landscape-scale conservation planning and evaluation, and a data and analysis resource that can be used for addressing specific management...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Aquatic Habitat,
Aquatic Habitat,
Energy Development,
Energy Development,
IA,
Sagebrush ecosystems in North America have experienced extensive degradation since European settlement, and continue to further degrade from exotic invasive plants, greater fire frequency, intensive grazing practices, increased oil and gas development, climate change, and other factors. Remote sensing is often identified as a key information source to facilitate broad-area ecosystem-wide characterization, monitoring and analysis, however, approaches that characterize sagebrush with sufficient and accurate local detail across large areas to support ecosystem research and analysis are unavailable. We have developed a new remote sensing sagebrush ecosystem characterization approach for the state of Wyoming, U.S.A....
A train derailment occurred in Marana, Arizona, on July 10, 2018. Runoff from a severe thunderstorm was flowing over the tracks at the time and may have contributed to the derailment. At the request of the Pima County Regional Flood Control District, USGS collected high-water marks for the flood event upstream from the derailment area.
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