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This dataset depicts 10 foot contours derived from the USGS 1/3 arc second (10m) digital elevation model.
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Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use outputs that are based on a downscaled version of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) social, economic, and demographic storylines. ICLUS outputs are derived from a pair of models. A demographic...
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This data product contains combined estimates of high habitat quality areas for mountain lion, mule deer, desert bighorn sheep, and black bear. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011). Habitat variables varied among species but included vegetation type, terrain ruggedness,...
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The Surface Management Agency (SMA) Geographic Information System (GIS) dataset depicts Federal land for the United States and classifies this land by its active Federal surface managing agency. The SMA feature class covers the continental United States, Alaska, Hawaii, Puerto Rico, Guam, American Samoa and the Virgin Islands. A Federal SMA agency refers to a Federal agency with administrative jurisdiction over the surface of Federal lands. Jurisdiction over the land is defined when the land is either: Withdrawn by some administrative or legislative action, or Acquired or Exchanged by a Federal Agency. This layer is a dynamic assembly of spatial data layers maintained at various federal and local government offices....
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For the Green River Basin Landscape Conservation Design (GRB LCD) assessment, we mapped the vulnerability of the sagebrush ecosystem to oil and gas development for each 12-digit hydrologic unit. Using a vulnerability framework, we defined Sensitivity (S) as the multi-scale average of sagebrush ecosystem land cover derived from LANDFIRE Existing Vegetation Type (LANDFIRE 2014). Exposure (E) to oil and gas development was quantified as the average kernel density of active oil and gas wells at multiple scales. Potential Impact (PI) is the square root transformed product of oil and gas development exposure and sagebrush ecosystem sensitivity. Adaptive Capacity (AC) for sagebrush ecosystem was quantified as the inverse...
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Burn probability (BP) raster dataset predicted for the 2080-2100 period in the Rio Grande area was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the 8.5 Representative Concentration Pathway.
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This dataset contains the predicted probability of occurrence for modeled distributions of smallmouth bass. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
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Survey data was integrated within a GIS by georeferencing observations to an existing national spatial framework (National Hydrography Dataset), which allows for broader transferability to watersheds shared with neighboring states, creating a seamless layer not limited by state boundaries. Addressing the management and conservation challenges for native fishes will require the ability to “data mine” the extensive existing information on distribution and abundance of species available from aquatic survey programs. Results from such syntheses can be used to assess the current conservation status of native fishes, quantify the extent of species invasions, and establish baseline distributions with which to evaluate...
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Survey data was integrated within a GIS by georeferencing observations to an existing national spatial framework (National Hydrography Dataset), which allows for broader transferability to watersheds shared with neighboring states, creating a seamless layer not limited by state boundaries. Addressing the management and conservation challenges for native fishes will require the ability to “data mine” the extensive existing information on distribution and abundance of species available from aquatic survey programs. Results from such syntheses can be used to assess the current conservation status of native fishes, quantify the extent of species invasions, and establish baseline distributions with which to evaluate...
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Burn probability (BP) for Fireline Intensity Class 6 (FIL6) with flame lengths in the range of 3.7-15 m predicted for the 2080-2100 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the 8.5...
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Burn probability (BP) for Fireline Intensity Class 2 (FIL2) with flame lengths in the range of 0.6-1.2 m predicted for the 2050-2070 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the...
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The Western Native Trout Initiative is all about getting projects done that will help improve the abundance of western native trout across a variety of landscapes. WNTI a collaborative effort of 12 western states including Alaska, the National Fish Habitat Action Plan, the U.S. Fish and Wildlife Service, Forest Service, Bureau of Land Management, and many tribal and public or private conservation-minded organizations (view partners). WNTI's goals and objectives include gathering project opportunities, funding, and partners together to make a measurable impact on native trout populations and habitats. WNTI projects are and will be funded by many different entities and partners.
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For the Green River Basin Landscape Conservation Design (GRB LCD) assessment, we mapped the vulnerability of the critical habitat for threatened and endangered fish species to oil and gas development for each 12-digit hydrologic unit. The following threatened and endangered fish species were included in this vulnerability assessment: Colorado pikeminnow (Ptychocheilus lucius), Bonytail Chub (Gila elegans), Humpback chub (Gila cypha), and razorback sucker (Xyrauchen texanus). Using a vulnerability framework, we defined Sensitivity (S) as the average combined area of critical fish habitat within HUC12 polygons. Exposure (E) to oil and gas development was quantified the log transformed upstream flow accumulation of...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Colorado, Colorado, EARTH SCIENCE > LAND SURFACE > LANDSCAPE, Green River Basin, Green River Basin, All tags...
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Burn probability (BP) for Fireline Intensity Class 5 (FIL5) with flame lengths in the range of 2.4-3.7 m predicted for the 2080-2100 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the...
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Burn probability (BP) for Fireline Intensity Class 4 (FIL4) with flame lengths in the range of 1.8-2.4 m predicted for the 2050-2070 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the...
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The Southern Rockies LCC is home to narrowleaf cottonwood (Populus angustifolia), common at elevations above 1800 m, and Fremont cottonwood [a common name regionally attached to the ecologically very similar Populus fremontii subsp. fremontii S. Watson and P. deltoides subsp. wislizenii (S. Watson) Eckenwalder, as well as their intergrades], which is typically found at elevations below 1800 m. This geographical information system (GIS) contains the data sets used in an assessment of the amount and character of native Fremont cottonwood forest remaining on the mainstem floodplains in 26 subbasins in the Upper Colorado River Basin (UCRB), published in 2007 (Andersen, D.C., D.J. Cooper, and K. Northcott. 2007. Dams,...
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For the Green River Basin Landscape Conservation Design (GRB LCD) assessment, we mapped the vulnerability of riparian habitat for terrestrial species and process. Using a vulnerability framework, we defined Sensitivity (S) as the percent riparian vegetation within the valley bottom and Exposure (E) as the amount of human modification within the valley bottom. For each 12-digit hydrologic unit code within the GRB LCD we summarized the riparian sensitivity and exposure to human modification. We also computed Potential Impact (PI), and Adaptive Capacity (AC) metrics at the HUC12 level. PI is the square root transformed product of human modification exposure and riparian sensitivity. AC for riparian exposure to human...


map background search result map search result map Northern Leopard Frog: 2030 Habitat Suitability Consensus of All Models Smallmouth Bass Predicted Probability of Distribution Upper Colorado River Basin River Thalweg Burn Probability for Fireline Intensity Class 2, predicted for 2050 to 2070 for Rio Grande study area Burn Probability for Fireline Intensity Class 4, predicted for 2050 to 2070 for Rio Grande study area Burn Probability for Fireline Intensity Class 5, predicted for 2080 to 2100 for Rio Grande study area Burn Probability for Fireline Intensity Class 6, predicted for 2080 to 2100 for Rio Grande study area Burn Probability predicted for 2080 to 2100 for Rio Grande study area High Habitat Quality Count Contours, 10ft, Klamath Marsh NWR Impervious Surface: Projected 2050 Western Native Trout Initiative Projects Landownership Sonoran Sucker Occurrence in the Verde River Basin Speckled Dace Occurrence in the Verde River Basin Vulnerability of Riparian Habitat to Land Uses in the Green River Basin Vulnerability of Critical Fish Habitat to Oil and Gas Development in the Green River Basin Vulnerability of Sagebrush Ecosystem to Oil and Gas Development for the Green River Basin Contours, 10ft, Klamath Marsh NWR Sonoran Sucker Occurrence in the Verde River Basin Speckled Dace Occurrence in the Verde River Basin High Habitat Quality Count Northern Leopard Frog: 2030 Habitat Suitability Consensus of All Models Upper Colorado River Basin River Thalweg Burn Probability for Fireline Intensity Class 2, predicted for 2050 to 2070 for Rio Grande study area Burn Probability for Fireline Intensity Class 4, predicted for 2050 to 2070 for Rio Grande study area Burn Probability for Fireline Intensity Class 5, predicted for 2080 to 2100 for Rio Grande study area Burn Probability for Fireline Intensity Class 6, predicted for 2080 to 2100 for Rio Grande study area Burn Probability predicted for 2080 to 2100 for Rio Grande study area Vulnerability of Critical Fish Habitat to Oil and Gas Development in the Green River Basin Vulnerability of Sagebrush Ecosystem to Oil and Gas Development for the Green River Basin Vulnerability of Riparian Habitat to Land Uses in the Green River Basin Landownership Smallmouth Bass Predicted Probability of Distribution Impervious Surface: Projected 2050 Western Native Trout Initiative Projects