Skip to main content
Advanced Search

Filters: Tags: biota (X) > Types: OGC WMS Layer (X) > Types: Shapefile (X) > partyWithName: U.S. Geological Survey (X)

75 results (88ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
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...
thumbnail
Data on 17 metrics of shale gas development in the Pennsylvania portion of the Upper Susquehanna River basin that was collated from a variety of sources and summarized at the upstream catchment scale. Data were also standardized by upstream area and transformed into rank scores based on metric distribution and then summarized into a Disturbance Intensity Index (DII). See Maloney et al. 2018 for detailed descriptions of each data sets and limitations of data. (Maloney, K. O., J. A. Young, S. P. Faulkner, A. Hailegiorgis, E. T. Slonecker, and L. E. Milheim. 2018. A detailed risk assessment of shale gas development on headwater streams in the Pennsylvania portion of the Upper Susquehanna River Basin, U.S.A. Science...
This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico. The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico. Alaska is combined with Canada into a single grid. Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions. The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency “Bat Grid” monitoring program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat)....
thumbnail
This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico. The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico. Alaska is combined with Canada into a single grid. Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions. The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency “Bat Grid” monitoring program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat)....
This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico. The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico. Alaska is combined with Canada into a single grid. Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions. The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency “Bat Grid” monitoring program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat)....
thumbnail
In the desert southwest biodiversity is facing a changing landscape due to human population growth, expansion of energy development, and from the persistent effects of climate change among other threats. The 2012 Desert LCC science needs document recognized the importance of modeling and predicting habitat area, fragmentation and corridor network connectivity for a broad range of wildlife taxa. Tools and methods from conservation planning are available to address some of these issues, but tools to evaluate the expected benefits of corridors in mitigating climate change effects are only in their infancy. This USGS project will use quantitative spatial analysis and principles from landscape ecology to determine where...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: 2012, AZ-01, AZ-02, AZ-03, AZ-04, All tags...
thumbnail
This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico. The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico. Alaska is combined with Canada into a single grid. Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions. The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency “Bat Grid” monitoring program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat)....
This layer represents fundamentally suitable and unsuitable habitat for freshwater mussels in the Meramec Basin as modeled by these authors on May 17, 2017 based on spatial data ranging from 1990 to 2014. Identification of habitat characteristics associated with the presence of freshwater mussels is challenging but crucial for the conservation of this declining fauna. Most mussel species are found in multi-species assemblages suggesting that physical factors influence presence similarly across species. In lotic environments, geomorphic and hydraulic characteristics appear to be important factors for predicting mussel presence. We used maximum entropy (MaxEnt) modeling to evaluate hydrogeomorphic variables associated...
thumbnail
Digital flood-inundation maps for a 9.3-mile reach of the Iowa River along the Meskwaki Settlement, Iowa, were created by the U.S. Geological Survey (USGS) in cooperation with the Sac and Fox Tribe of the Mississippi River in Iowa. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science web site at https://water.usgs.gov/osw/flood_inundation/ depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage 05451770 on the Iowa River at County Highway E49 near Tama, Iowa. Near-real-time stages at this streamgage may be obtained on the internet from the USGS National Water Information System at https://waterdata.usgs.gov/...
map background search result map search result map Corridors, Climate Change, and Conservation Planning in the Desert Southwest Cottonwood Lake Study Area-Wetland Vegetation Zones-1975 Cottonwood Lake Study Area-Wetland Vegetation Zones-1979 Cottonwood Lake Study Area-Wetland Vegetation Zones-1980 Cottonwood Lake Study Area-Wetland Vegetation Zones-1983 Cottonwood Lake Study Area-Wetland Vegetation Zones-1986 Cottonwood Lake Study Area-Wetland Vegetation Zones-1988 Cottonwood Lake Study Area-Wetland Vegetation Zones-1990 Cottonwood Lake Study Area-Wetland Vegetation Zones-1993 Cottonwood Lake Study Area-Wetland Vegetation Zones-2000 Cottonwood Lake Study Area-Wetland Vegetation Zones-2009 Cottonwood Lake Study Area-Wetland Vegetation Zones-2010 Shale gas data used in development of the Disturbance Intensity Index for the Pennsylvania portion of the Upper Susquehanna River basin in Maloney et al. 2018 Vulnerability of Riparian Habitat to Land Uses in the Green River Basin North American Grid-Based Sampling Frame: Continental United States at a 1x1km resolution North American Grid-Based Sampling Frame: Hawaii at a 10x10km resolution North American Grid-Based Sampling Frame: Hawaii at a 1x1km resolution North American Grid-Based Sampling Frame: Puerto Rico at a 5x5km resolution Flood-inundation shapefile for the Iowa River at the Meskwaki Settlement in Iowa, 2019 Niche model results predicting fundamentally suitable and unsuitable habitat for freshwater mussel concentrations in the Meramec Basin Cottonwood Lake Study Area-Wetland Vegetation Zones-1975 Cottonwood Lake Study Area-Wetland Vegetation Zones-1979 Cottonwood Lake Study Area-Wetland Vegetation Zones-1986 Cottonwood Lake Study Area-Wetland Vegetation Zones-1988 Cottonwood Lake Study Area-Wetland Vegetation Zones-1983 Cottonwood Lake Study Area-Wetland Vegetation Zones-1980 Cottonwood Lake Study Area-Wetland Vegetation Zones-1990 Cottonwood Lake Study Area-Wetland Vegetation Zones-1993 Cottonwood Lake Study Area-Wetland Vegetation Zones-2010 Cottonwood Lake Study Area-Wetland Vegetation Zones-2000 Cottonwood Lake Study Area-Wetland Vegetation Zones-2009 Flood-inundation shapefile for the Iowa River at the Meskwaki Settlement in Iowa, 2019 Niche model results predicting fundamentally suitable and unsuitable habitat for freshwater mussel concentrations in the Meramec Basin North American Grid-Based Sampling Frame: Puerto Rico at a 5x5km resolution Shale gas data used in development of the Disturbance Intensity Index for the Pennsylvania portion of the Upper Susquehanna River basin in Maloney et al. 2018 North American Grid-Based Sampling Frame: Hawaii at a 10x10km resolution North American Grid-Based Sampling Frame: Hawaii at a 1x1km resolution Vulnerability of Riparian Habitat to Land Uses in the Green River Basin Corridors, Climate Change, and Conservation Planning in the Desert Southwest North American Grid-Based Sampling Frame: Continental United States at a 1x1km resolution