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This dataset contains field measurements of vegetation from the (1) Adirondack Sugar Maple Project (ASM), and (2) Buck Creek North and Buck Creek South Watersheds. The ASM data, collected in 2009 in 20 Adirondack watersheds (2 or 3 0.10 ha plots per watershed), are comprised of general plot characteristics, tree species identification and diameter at breast height (DBH) for all trees greater than 10 cm DBH, canopy position and health ratings, common and scientific names, and species identification and counts for saplings and seedlings. In Buck Creek North Tributary Watershed and Buck Creek South Tributary Watershed, near Inlet, New York, all trees greater than 5 cm DBH were identified in 15 circular plots (245 square...
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for Suisun marsh using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (6912 points, collected across public and private land in 2018), Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (June 2018), a 1 m lidar DEM from September 2018, and a 1 m canopy surface model were used to generate models of predicted bias across the...
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for tidal marsh areas around San Francisco Bay using the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). Survey-grade GPS survey data (6614 points), NAIP-derived Normalized Difference Vegetation Index, and original 1 m lidar DEM from 2010 were used to generate a model of predicted bias across tidal marsh areas. The predicted bias was then subtracted from the original lidar DEM and merged with the NOAA...
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This dataset provides information on the current status and various other habitat and descriptive attributes of the native coastal vegetation for seven of the main Hawaiian Islands (i.e., does not include Ni`ihau).
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This feature estimates the geographic extent of the sagebrush biome in the United States. It was created for the Western Association of Fish and Wildlife Agency’s (WAFWA) Sagebrush Conservation Strategy publication as a visual for the schematic figures. This layer does not represent the realized distribution of sagebrush and should not be used to summarize statistics about the distribution or precise location of sagebrush across the landscape. This layer is intended to generalize the sagebrush biome distribution using Landsat derived classified vegetation rasters (Rigge at al. 2019), Bureau of Land Management-designated Habitat Management Areas, state-designated Priority Areas for Conservation for sage-grouse, the...
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These data depict reptile species richness within the range of the Greater Sage-grouse. Species boundaries were defined as the total extent of a species geographic limits. This raster largely used species range data from "U.S. Geological Survey - Gap Analysis Project Species Range Maps CONUS_2001", however in order for a more complete picture of species richness, additional sources were used for species missing from the Gap Analysis program.
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for wetlands throughout Collier county using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (15,223 points), NAIP-derived Normalized Difference Vegetation Index (2010), a 10 m lidar DEM from 2007, and a 10 m canopy surface model were used to generate a model of predicted bias across marsh, mangrove, and cypress habitats. The predicted bias was then subtracted from...
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The data are .csv files of tagged sea otter re-sighting locations (henceforth, resights) collected in the field using a combination of VHF radio telemetry and direct observation using high powered (80x) telescopes. Sea otters were tracked by shore based observers from the date of tagging until the time of radio battery failure or the animal’s death, whichever comes first. The frequency of re-sighting was opportunistic, depending on logistical factors such as coastal access, but generally ranged from daily to weekly. Location coordinates are reported as X and Y coordinates in the projection/datum California Teale-Albers NAD 1927. Each file contains resight data for one individual sea otter collected over a period...
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***This data set is superseded by Welty, J.L., and Jeffries, M.I., 2021, Combined wildland fire datasets for the United States and certain territories, 1800s-Present: U.S. Geological Survey data release, https://doi.org/10.5066/P9ZXGFY3.*** This dataset is comprised of four different zip files. Zip File 1: A combined wildfire polygon dataset ranging in years from 1878-2019 (142 years) that was created by merging and dissolving fire information from 12 different original wildfire datasets to create one of the most comprehensive wildfire datasets available. Attributes describing fires that were reported in the various source data, including fire name, fire code, ignition date, controlled date, containment date, and...
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This dataset contains measurements of chemical concentrations of forest soil samples and associated site measurements collected in the Adirondack Ecoregion of New York State. Data are presented in four groups (tabs) in an Microsoft EXCEL 2013 spreadsheet (and comma-delimited CSV files): (1) Adirondack Sugar Maple Project (ASM), (2) Buck Creek North Watershed, (3) Buck Creek South Watershed, and (4) Western Adirondack Stream Survey (WASS) soil sampling. The ASM data were all collected in 2009 and the WASS data were all collected in 2004. The Buck Creek North Tributary Watershed was sampled in 1997 and repeated at the same plot locations in 2009/10. The Buck Creek South Tributary Watershed was sampled in 1998 and...
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Heat load, a unitless value from 0 (low incident radiation) to around 1 (high incident radiation), is calculated using aspect, slope, and latitude (McCune and Dylan 2002). For the purposes of the exploration tool, the data are binned into 6 classes using Geometric Interval. Classes range from very low to very high and are designed to allow the classification of a polygon into its heat load types. McCune, B. and Keon, D., 2002, Equations for potential annual direct incident radiation and heat load: Journal of Vegetation Science, v. 13, no. 4, p. 603-606, https://doi.org/10.1111/j.1654-1103.2002.tb02087.x.
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This habitat model was developed to delineate suitable habitat for coastal cactus wren (Campylorhynchus brunneicapillus) in southern California. A primary purpose of the model is to identify potential restoration sites that may not currently support cactus patches required by wrens, but which are otherwise highly suitable. These are areas that could be planted with cactus to increase wren populations, an important management objective for many land managers. We used the Partitioned Mahalanobis D2 modeling technique to construct alternative models with different combinations of environmental variables. Variables were calculated at each point in the center of a 150 m x 150 m cell in a grid of points across the landscape....
This data release contains land cover-derived statistics regarding estuarine vegetated wetland area change within estuary drainage areas along the conterminous U.S. This dataset includes net change in estuarine vegetated wetland area based on National Oceanic and Atmospheric Administration's (NOAA) Coastal Change Assessment Program (C-CAP) 1996 and 2016 land cover data. Net change was assessed between estuarine vegetated wetlands (i.e., estuarine marshes, mangroves, non-mangrove estuarine woody wetlands, and salt pannes, depending on vegetation coverage and type) and the following other landcover classes: 1) water; 2) unconsolidated shore; 3) freshwater woody wetlands; 4) freshwater marsh; 5) upland; and 6) agriculture....
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Fire ranks among the top three threats to the greater sage-grouse (Centrocercus urophasianus) throughout its range, and among the top two threats in the western part of its range. The national research strategy for this species and the recent U.S. Department of the Interior Secretarial Order 3336 call for science-based threats assessment of fire to inform conservation planning and fire management efforts. The cornerstone of such assessments is a clear understanding of where fires are occurring and what aspects of fire regimes may be shifting outside of their historical range of variation. Analyses are stratified by major vegetation types and the seven greater sage-grouse management zones, delineated regionally as...
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These data are 30m by 30 m grids of the mean Standardized Precipitation-Evapotranspiration Index (SPEI) between 2001-2014 in the western United States. The SPEI index was developed by Sergio M. Vicente-Serrano and coauthors (https://spei.csic.es/index.html). Source evapotranspiration and precipitation data were generated by gridMET (http://www.climatologylab.org/gridmet.html).
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Aquatic invasive species are often transported between water bodies on boats or boat trailers, thus they are considered one of the primary vectors for new introductions of invasive species to a water body. This data set contains geographic positioning system locational data for boater access points, use data (i.e. recreational, fishing), water quality measurements (e.g. calcium concentrations, pH), risk assessment data, and other physical attributes (i.e. size, elevation) where available within the Columbia and Snake Rivers and throughout the Columbia River Basin. This work builds on an earlier body of work by Wells et al. 2011, Prioritizing Zebra and Quagga Mussel Monitoring in the Columbia River Basin (PDF link...
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"Vector Ruggedness Measure (VRM) measures terrain ruggedness as the variation in three-dimensional orientation of grid cells within a neighborhood. Vector analysis is used to calculate the dispersion of vectors normal (orthogonal) to grid cells within the specified neighborhood. This method effectively captures variability in slope and aspect into a single measure. Ruggedness values in the output raster can range from 0 (no terrain variation) to 1 (complete terrain variation). Typical values for natural terrains range between 0 and about 0.4. VRM was adapted from a method first proposed by Hobson (1972). VRM appears to decouple terrain ruggedness from slope better than current ruggedness indices, such as TRI or...
This data release includes 2022 data for the Louisiana Outer Coast Restoration Project for North Breton Island. Specifically, this data release includes a detailed habitat map, general habitat map, georeferenced imagery, and a bare-earth digital elevation model (DEM) developed from light detection and ranging data. These habitat maps are developed using the methods and classification scheme from Louisiana Coastal Protection and Restoration Authority’s (CPRA) Barrier Island Comprehensive Monitoring (BICM) program. For more details on BICM habitat classes, see the Entity and Attribute Information section of the metadata. Please consult the accompanying readME.txt file for information and recommendations on the contents...
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The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Delta Management at Fort St. Philip (BS-11) project for 2021. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their...
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This raster portrays the distribution of sagebrush within the geographic extent of the sagebrush biome in the United States. It was created for the Western Association of Fish and Wildlife Agency’s (WAFWA) Sagebrush Conservation Strategy publication as a visual for the schematic figures and to calculate summary statistics. This distribution incorporates the most recently available sagebrush cover mapping (Xian et al. 2015, Rigge et al. 2019) and classified LANDFIRE EVT (Department of Ecosystem Science, University of Wyoming 2016). Both datasets were rigorously evaluated and extensive ground measurements taken to evaluate accuracy by the respective authors. We created a combined binary sagebrush distribution by classifying...
map background search result map search result map Boat ramp locations within the Columbia River Basin with associated recreational use, water quality measurements, and risk assessment data for zebra and quagga mussels Fire Patterns in the Range of the Greater Sage-Grouse, 1984–2013—Implications for Conservation and Management Geospatial Data Collected from Tagged Sea Otters in Central California, 1998-2012 Adirondack New York soil chemistry data, 1997-2014 Adirondack New York vegetation data, 2000-2015 Hawaiian Islands Coastal Vegetation Survey 2013-2015 Western United States 30m Heatload Values Western US Ruggedness Reclassified into 6 Classes LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 Reptile Richness in the Range of the Sage-grouse, Derived From Species Range Maps The Sagebrush Biome Range Extent, as Derived from Classified Landsat Imagery LEAN-Corrected DEM for Suisun Marsh Sagebrush Distribution within the Biome Range Extent, as Derived from Classified Landsat Imagery LEAN-Corrected Collier County DEM for wetlands Combined wildfire datasets for the United States and certain territories, 1878-2019 Coastal Cactus Wren Habitat Suitability Model for Southern California (2015) Standardized Precipitation-Evapotranspiration Index for western United States, 2001-2014, derived from gridMET climate estimates Delta Management at Fort St. Philip (BS-11): 2021 land-water classification Delta Management at Fort St. Philip (BS-11): 2021 land-water classification LEAN-Corrected DEM for Suisun Marsh LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 Adirondack New York soil chemistry data, 1997-2014 Adirondack New York vegetation data, 2000-2015 LEAN-Corrected Collier County DEM for wetlands Coastal Cactus Wren Habitat Suitability Model for Southern California (2015) Geospatial Data Collected from Tagged Sea Otters in Central California, 1998-2012 Hawaiian Islands Coastal Vegetation Survey 2013-2015 Fire Patterns in the Range of the Greater Sage-Grouse, 1984–2013—Implications for Conservation and Management Reptile Richness in the Range of the Sage-grouse, Derived From Species Range Maps Sagebrush Distribution within the Biome Range Extent, as Derived from Classified Landsat Imagery The Sagebrush Biome Range Extent, as Derived from Classified Landsat Imagery Western United States 30m Heatload Values Western US Ruggedness Reclassified into 6 Classes Standardized Precipitation-Evapotranspiration Index for western United States, 2001-2014, derived from gridMET climate estimates Boat ramp locations within the Columbia River Basin with associated recreational use, water quality measurements, and risk assessment data for zebra and quagga mussels Combined wildfire datasets for the United States and certain territories, 1878-2019