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Brackish groundwater (BGW), defined for this assessment as having a dissolved-solids concentration between 1,000 and 10,000 milligrams per liter is an unconventional source of water that may offer a partial solution to current (2016) and future water challenges. In support of the National Water Census, the U.S. Geological Survey has completed a BGW assessment to gain a better understanding of the occurrence and character of BGW resources of the United States as an alternative source of water. Analyses completed as part of this assessment relied on previously collected data from multiple sources, and no new data were collected. One of the most important contributions of this assessment was the creation of a database...
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In 2012, the U.S. Geological Survey (USGS) Colorado Water Science Center in cooperation with Colorado Springs Utilities selected 10 reaches or study area along Fountain Creek between Colorado Springs and the confluence of Fountain Creek at the Arkansas River for annual bed and bank characterization and topographic surveys. The 10 selected study areas are approximately 5 to 20 bank-full channel widths in length. The topographic surveys collected point data of location and elevation in the active channel and along both left and right banks and flood plains. Historically, the topographic data have been collected exclusively using real-time kinematic Global Navigation Satellite Systems. However, on January 12, 2017,...
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In 2012, the U.S. Geological Survey (USGS) in cooperation with Colorado Springs Utilities selected 10 reaches or study areas along Fountain Creek between Colorado Springs and the confluence of Fountain Creek at the Arkansas River for annual bed and bank characterization and topographic surveys. The 10 selected study areas are approximately 5 to 20 bank-full channel widths in length. The topographic surveys collected point data of location and elevation in the active channel and along both left and right banks and flood plains. Starting in 2012, USGS personnel have collected topographic survey data annually during the winter, spring, spring, or summer using real-time kinematic Global Navigation Satellite Systems....
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A raster dataset representing conifer cover within the Western United States. This dataset was made reclassifying the LANDFIRE 1.3 EVT layer into "Conifer-dominated Ecological Systems with Little to No Sagebrush", and "Conifer-dominated Ecological Systems Likely to Expand into Sagebrush".
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UI_Mica_Location: Location metadata and meteorological and snow depth observations from met towers in the Mica Creek Experimental Forest. Data were collected at 7 different station sites at approximately half-hour intervals for water years 2003-2006, with discontinuous records due to equipment malfunction or damage. Stations were located within different forest harvest treatment sections, applied to the watershed in approximately 2001, including clear-cut harvest, partial harvest, and control sections (both second growth and old growth control forests). Site Data Citation for full description of the field campaign and sites. UI_Mica_met: Metadata and associated snow depth and SWE observations from 14 manual...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
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Mendenhall and others (1916) published depth-to-water data compiled in 1910 for all known wells in the San Joaquin Valley, California. Data for the 3,429 wells having depth-to-water of greater than zero feet were used to construct an interpolated depth-to-water surface for the entire SJV. This map represents groundwater levels in approximately 1910, prior to extensive development of the groundwater system. A depth-to-water contour map with contour lines of 5, 10, 15, and 25 meters below land surface was then drawn from this raster surface.
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This categorical CWD raster was developed from a project-wide CWD raster. For each of the five fracture zones, the CWD raster was partitioned into zone-specific, 10 equal-area class map, ranging from low CWD to high CWD.
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Ten focal species cost-weighted distance (CWD) surfaces from WHCWG (2010) were combined into a single categorical raster for this project. The source focal species were: western toad, northern flying squirrel, wolverine, Canada lynx, American marten, mountain goat, American black bear, elk, mule deer, and bighorn sheep.
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Ten focal species cost-weighted distance (CWD) surfaces from WHCWG (2010) were combined into a single categorical raster for this project. The source focal species were: western toad, northern flying squirrel, wolverine, Canada lynx, American marten, mountain goat, American black bear, elk, mule deer, and bighorn sheep.
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These layers show land ownership and status of all Canadian and U.S. lands that fall within the boundaries of the Great Northern Landscae Conservation Cooperative. Layers were compiled from various sources, each with it’s own metadata reference file.
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There is a great deal of interest in whether and how Alaska’s precipitation is changing but little agreement in the existing peer-reviewed literature. To provide insight on this question, we have selected three commonly used 0.5° resolution gridded precipitation products that have long-term monthly data coverage (Climatic Research Unit TS3.10.1, Global Precipitation Climatology Centre Full Data Reanalysis version 5, and University of Delaware version 2.01) and evaluated their homogeneity and trends with multiple methods over two periods, 1950–2008 and 1980–2008. All three data sets displayed common broadscale features of Alaska’s precipitation climatology, but there were substantial differences between them in terms...
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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The Missouri Resource Assessment Partnership (MoRAP) of the University of Missouri, in conjunction with the Oklahoma Biological Survey of the University of Oklahoma, produced a vegetation and landcover GIS data layer for the eastern portions of Oklahoma. This effort was accomplished with direction and funding from the Oklahoma Department of Wildlife Conservation and state and federal partners (particularly the Gulf Coast Prairie and Great Plains Landscape Conservation Cooperatives of the U. S. Fish and Wildlife Service). The legend for the layer is based on NatureServe’s Ecological System Classification, with finer thematic units derived from land cover and abiotic modifiers of the System unit. Data for development...
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The Healthy Beaches for People and Fish project was completed by Friends of the San Juans in partnership with Coastal Geologic Services, Salish Sea Biological and the Washington Department of Fish and Wildlife in 2014. Project approach and work was guided by a technical advisory group, which included representatives from The University of Washington, United States Geological Survey, Puget Sound Partnership, Skagit River Systems Cooperative, Samish Indian Nation, San Juan County Public Works, San Juan County Salmon Recovery Lead Entity, The Tulalip Tribes, Padilla Bay National Estuarine Research Reserve and the Washington State Departments of Ecology, Natural Resources and Fish and Wildlife. The project contained...
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We used publically available data on duck breeding distribution and recently compiled geospatialdata on upland habitat and environmental conditions to develop a spatially explicitmodel of breeding duck populations across the entire Prairie Pothole Region (PPR). Ourspatial population models were able to identify key areas for duck conservation across thePPR and predict between 62.1 – 79.1% (68.4% avg.) of the variation in duck counts by yearfrom 2002 – 2010. The median difference in observed vs. predicted duck counts at a transectsegment level was 4.6 ducks. Our models are the first seamless spatially explicit modelsof waterfowl abundance across the entire PPR and represent an initial step toward jointconservation...
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Climate change vulnerability assessments are commonly used to identify species or populations at risk from global climate change, but few translate impact assessments to climate change adaptation actions. Furthermore, most climate change adaptation efforts emphasize where to implement management actions, whereas timing remains largely overlooked. The rate of modern climate change introduces urgency in evaluating whether delaying conservation actions compromises their efficacy for reaching important conservation targets. We evaluated the importance of multiple climate change adaptation strategies including timing of actions on preventing extinctions for a threatened climate-sensitive species, the Eastern Massasauga...
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
map background search result map search result map Estimated potential for sage-grouse movement Multistate Aquatic Resources Information System (MARIS) published 20131201 - Alabama fish sampling records 1953-2006 Sea Level Rise Vulnerability Assessment for San Juan County, Washington GNLCC Jurisdictional Boundaries Long format snow course observations, meteorological sensor observations,locations, and associated metadata for Mica Creek, Idaho Western United States Conifer Cover Raster Historic Depth-to-Water, San Joaquin Valley, California, 1910 Major-Ions Dataset UMRR Illinois River Alton Reach Bathymetry Footprint Sea-Level Affecting Marshes Model - Gulf of Mexico Cost-weighted distance (CWD) categorical raster, Highway 97 North Generalization of 10 focal species cost-weighted distance (CWD) categorical raster, Highway 97 Central Generalization of 10 focal species cost-weighted distance (CWD) categorical raster, Highway 97 South FractureZones, Transboundary Connectivity: Washington & British Columbia Topographic Survey Data of Fountain Creek between Colorado Springs and the Confluence of Fountain Creek at the Arkansas River, Colorado, 2013 Topographic Survey Data from Photogrammetry of Fountain Creek between Colorado Springs and the Confluence of Fountain Creek at the Arkansas River, Colorado, 2017 Oklahoma Ecological Systems Mapping - Phase 1 dataset Building the Foundation for International Conservation Planning for Breeding Ducks across the U.S. and Canadian Border Reconciling precipitation trends in Alaska: 2. Gridded data analyses Publication: Delaying conservation actions matters for species vulnerable to climate change Estimated potential for sage-grouse movement Long format snow course observations, meteorological sensor observations,locations, and associated metadata for Mica Creek, Idaho Sea Level Rise Vulnerability Assessment for San Juan County, Washington Topographic Survey Data of Fountain Creek between Colorado Springs and the Confluence of Fountain Creek at the Arkansas River, Colorado, 2013 Topographic Survey Data from Photogrammetry of Fountain Creek between Colorado Springs and the Confluence of Fountain Creek at the Arkansas River, Colorado, 2017 Historic Depth-to-Water, San Joaquin Valley, California, 1910 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Alabama fish sampling records 1953-2006 Oklahoma Ecological Systems Mapping - Phase 1 dataset Cost-weighted distance (CWD) categorical raster, Highway 97 North Generalization of 10 focal species cost-weighted distance (CWD) categorical raster, Highway 97 Central Generalization of 10 focal species cost-weighted distance (CWD) categorical raster, Highway 97 South FractureZones, Transboundary Connectivity: Washington & British Columbia Sea-Level Affecting Marshes Model - Gulf of Mexico Building the Foundation for International Conservation Planning for Breeding Ducks across the U.S. and Canadian Border Publication: Delaying conservation actions matters for species vulnerable to climate change GNLCC Jurisdictional Boundaries Western United States Conifer Cover Raster Reconciling precipitation trends in Alaska: 2. Gridded data analyses Major-Ions Dataset