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In order to allow for a comparison across years we visually digitized landcover of Poplar Island from a single image per year at a 1:1000 spatial extent with a minimum mapping unit of 300 square meters (no minimum dimensions aside from area). Images used to assign landcover were provided by the U.S. Army Corps of Engineers and were captured between July and October of their respective years. All images were 1 foot resolution.
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Current national data resources for GAP include three primary data sets – land cover, protected areas, and species. Land Cover: The GAP/LANDFIRE National Terrestrial Ecosystems data, based on the NatureServe Ecological Systems Classification, are the foundation of the most detailed, consistent map of vegetation available for the United States. These data facilitate the planning and management for biological diversity on a regional and national scale. Learn more about GAP land cover data here: https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/science/land-cover Protected Areas: The Protected Areas Database of the United States (PAD-US) is a national geodatabase, created by USGS GAP,...
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An extreme flood in 2016 caused widespread culvert blockages and road failures across northern Wisconsin, including extensive damage along steep tributaries and ravines in the Marengo River watershed. Along with the flooding, there were fluvial erosion hazards (FEH) associated with a large amount of erosion in headwater areas. Of special concern were FEHs associated with gullying, loss of wetland storage, and valley-side mass wasting. In 2020, a pilot study was begun to map and classify ephemeral and perennial streams and wetlands in terms of their susceptibility to fluvial erosion hazards. This study combines rapid geomorphic field assessments of river corridor erosion and coupled sediment and debris delivery with...
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This raster depicts the percentage of lithological magnesium oxide (MgO) content in surface or near surface geology. We derived these rasters by calculating the average percent MgO content for each map unit in combined surficial-bedrock geologic maps. We used state geologic maps (Preliminary Integrated Geologic Map Databases for the United States, Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272), which depict surficial geology instead of bedrock when the surficial layers are sufficiently deep. For the state maps that do not incorporate surficial geology (i.e., midwestern states), we overlaid surficial geologic map units with thicknesses greater than 100 feet (from...
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Values for predicted probabilities of avian species occupancy were determined using colonization-extinction models (MacKenzie and others, 2003) as implemented in R (Version 3.4.4; https://www.r-project.org/) via the ‘colext’ function of the Unmarked package (Version 0.12-0; Fiske and Chandler 2011). Performance of a null model (without covariates) and 153 additional models that assessed the effects of geographic coordinates and habitat context covariates were evaluated using Akaike information criteria (AIC; Burnham and Anderson, 2002). When more than one model had substantial support, their respective model weights were used to spatially predict occupancy relative to covariate influence. Predictive model covariates...
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Gap Analysis Project (GAP) habitat maps are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Mapped areas represent places where the environment is suitable for the species to occur (i.e. suitable to support one or more life history requirements for breeding, resting, or foraging), while areas not included in the map are those predicted to be unsuitable for the species. While the actual distributions of many species are likely to be habitat limited, suitable habitat will not always be occupied because of population dynamics and species interactions. Furthermore, these maps correspond to midscale characterizations of landscapes,...
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Dataset consists of individual rasters, each describing a separate geochemical or geophysical attribute. See "Child Items" to browse and select desired rasters, download associated service definition file, and unzip to access rasters formatted as geoTiffs.


    map background search result map search result map Current National Data Resources for the Gap Analysis Project U.S. Geological Survey - Gap Analysis Project Species Habitat Maps CONUS_2001 Geochemical and Geophysical Characteristics of the Conterminous United States Geochemical Characteristics of the Conterminous United States: % MgO Predicted Avian Species Occupancy, Area of Sustainable Forest Habitat, and Area of Occupied Habitat within the Mississippi Alluvial Valley Bird Conservation Region Poplar Island Digitizing Fluvial Erosion Hazard Geospatial Network from the Marengo River Watershed, Ashland County, Wisconsin Poplar Island Digitizing Fluvial Erosion Hazard Geospatial Network from the Marengo River Watershed, Ashland County, Wisconsin Predicted Avian Species Occupancy, Area of Sustainable Forest Habitat, and Area of Occupied Habitat within the Mississippi Alluvial Valley Bird Conservation Region Geochemical and Geophysical Characteristics of the Conterminous United States U.S. Geological Survey - Gap Analysis Project Species Habitat Maps CONUS_2001 Geochemical Characteristics of the Conterminous United States: % MgO Current National Data Resources for the Gap Analysis Project