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This is a 30 meter grid that maps upland and wetland wildlife habitats/ecological systems for the Northeast, including all 13 states from Maine to Virginia, west to New York, Pennsylvania and West Virginia. Mapped habitat types are drawn from the Northeastern Terrestrial Habitat Classification System (NETHCS). The NETHCS is based on NatureServe’s Ecological Systems Classification, augmented with additional information from individual state wildlife classifications and other information specific to wildlife managers. A terrestrial ecological system is defined as a mosaic of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients,...
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NOTE: Two data download links are provided. The first includes the data described below as a geographic point layer and as a .csv file. The second link is a data package containing: the annual probability of observing one individual, the annual probability of encountering a large flock, and the monthly probability of observing one individual, for the full set of 24 species (in .csv format), and the associated report “Mapping the distribution, abundance and risk assessment of marine birds in the Northwest Atlantic.” To improve display of this data on Data Basin the point data was converted to a raster grid. This map depicts the mean predicted probability of observing at least one individual Herring Gull (Larus...
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Hydrography represents stream centerlines and off centerlines with greater than 30 hectare flow accumulation for the Northeast region. This dataset was developed as part of the Designing Sustainable Landscapes project led by Professor Kevin McGarigal of the University of Massachusetts and sponsored by the North Atlantic Landscape Conservation Cooperative; for more information about the entire project see: http://www.umass.edu/landeco/research/dsl/dsl.html The purpose of this dataset is to improve the National Hydrography Dataset (NHD) for the Northeast region. The NHD is a national framework for assigning reach addresses to water-related entities, such as industrial discharges, drinking water supplies, fish habitat...
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Known observations and distribution of Pacific Lamprey for Oregon, Washington, and Idaho from the Columbia River Fish and Wildlife Conservation Office managed database on behalf of the PLCI. Observation data includes points for Lampetra species when information provided. Current as of December 2020. Older datasets can be found in the archived data folder. Files available for download: Service Definition file (if downloaded files need to be extracted to then open in desktop programs) Zipped ESRI File Geodatabase, Zipped Shapefiles Layer files for ArcMap and ArcGIS Pro Google Earth kmz files Metadata Online interactive map with these datasets are available: AGOL: DataBasin: https://databasin.org/datasets/a243fb1346ca4258b6388c5f7a90aee4
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Karst hydrologic systems are important resources in the state of Tennessee both as drinking water resources and as centers for possible biological diversity. These systems are susceptible to contamination due to the inherent connectivity between surface water and groundwater in karst landscapes. A partnership between the U.S. Geological Survey (USGS) and Tennessee Department of Conservation (TDEC) was formed to investigate karst spring systems across the state utilizing fluorescent groundwater tracing, particularly in areas where these resources may be used as drinking water sources. In fall 2021, USGS and TDEC staff identified possible vulnerabilities or complexities that may exist within karst spring systems based...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Boiling Fork Creek, COWAN TENNESSEE KARST SPRING CAVE DYE TRACING TDEC USGS, Cannon County, TN, Cowan, TN, Cumberland Plateau, All tags...
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This dataset represents a clipped version of the terrestrial resiliency index to the State of New York developed by Mark Anderson and associates at The Nature Conservancy (Anderson et al 2012), which is a measure of the relative long-term resiliency of a site based on connectivity to a diversity of landforms, elevations and wetlands. A value of 0.9 in a cell means that it has a resiliency score that is greater than 90% of all the cells of the same geophysical setting in that watershed, and all the cells with >0.9 values comprise the best 10% of all cells across all geophysical settings within the watershed. TNC's resiliency index, as scaled here, is a major component of the terrestrial core area selection index...
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This file depicts habitat suitability index score for Balduina atropurpurea. The file has been rescaled to 0-100 values from original 0-1 by applying a factor of 100.
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**Symbology has been adjusted by the Open Space Institute from The Nature Conservancy's original "Geophysical Settings, 2016 Eastern U.S. and Canada" dataset.** The geophysical settings are defined by their physical properties – geology, soil, and elevation - that correspond to differences in the flora and fauna they support. They also differ in ecological character, in their value for agriculture or mining, and how they have been developed by people. For example, the region’s high granite mountains are both largely intact and topographically complex, whereas low coastal sandplains are both more fragmented and relatively flat. The geophyical settings classification enabled us to compare resilience characteristics...
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This layer identifies terrestrial Broadly Defined Habitats associated with species of greatest conservation need as described in Wildlife Action Plans in the Mid-South region of the United States. Condition Index scores are assigned on a per-grid-cell basis at 30-meter resolution. Condition Index scores are derived from seven attributes related to desired condition metrics for specific habitats: 1) whether a targeted habitat is present, 2) patch size, 3) patch configuration or distance to nearest patch, 4) a site condition metric, such as basal area for forested landscapes, 5) a second site condition metric, such as overstory canopy cover for forested landscapes, 6) if targeted habitat not present, potential for...
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This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using a combination of Digital Elevation Model (DEM) and National Agriculture Imagery Program (NAIP) multispectral imagery. This dataset combined with "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The eight distinct cover/community types identified are: High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus, Scirpus pungens,...
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This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using National Agriculture Imagery Program (NAIP) multispectral imagery for areas where no DEM was available to complete the full classification. This dataset combined with "Tidal Marsh Vegetation Classification, DEM, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The six distinct cover/community types identified are: 1. High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus,...
This map presents the current natural hazards events (hurricanes, earthquakes, wildfires, etc.) in the United States. This map was developed as part of the United States Geological Survey’s (USGS) Natural Hazards Support System (NHSS) which is available at http://nhss.cr.usgs.gov. But although this application was developed by the USGS, it contains data and information from a variety of public data sources, including non-USGS data. Therefore detailed information about each of these data providers, including specific data source, data currency and disclaimers, is provided at http://nhss.cr.usgs.gov/data.shtml.
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NRCS Landscape Conservation Initiatives (including RCPP Critical Conservation Areas) overlapping the Mississippi River Basin. Data Layers: Targeted Monarch Butterfly Effort Targeted Honeybee Effort Driftless Area Initiative Gulf of Mexico Initiative Illinois River Sub-Basin and Eucha-Spavinaw Lake Watershed Initiative Ogallala Aquifer Initiative Longleaf Pine Initiative Migratory Bird Habitat Initiative Northern Plains Migratory Bird Habitat Initiative Prairie Pothole Wetland and Grassland Retention Project Working Lands for Wildlife - Species Focal Areas RCPP Critical Conservation Area - Longleaf Pine RCPP Critical Conservation Area - Miss. River Basin RCPP Critical Conservation Area - Prairie Grasslands
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Estimated number of breeding pairs of Horned lark based on the amount of grass, trees, and/or hay in the landscape. Landscape scale varied from 1/4- to 2-mile radius depending on the species. Pair estimates were calculated for grass patches >=1 ha, extrapolated to 40-ac cells, then smoothed by averaging over a 1-mile radius. Models were based on point count surveys conducted in 2003-2005 throughout the Tallgrass Prairie Pothole Region. Point count locations were stratified by cover type, the amount of grass in the landscape, and USFWS Wetland Management District boundaries. Landcover data were derived from 2000 Thematic Mapper imagery. Grid values = number of breeding pairs per 30-m pixel.
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This dataset represents forest gain during the period 2000-2012, defined as the inverse of loss, or a non-forest to forest change, entirely within the study period, for the Northeast region including Canada. Data was encoded as either 1 (gain) or 0 (no gain). The Global Forest Cover Change project is a multi-year activity designed to generate forest cover and forest cover change products at multiple resolutions and multiple dates for every land surface in the world. The GFCC team is located at the University of Maryland, NASA Goddard Space Flight Center, and the South Dakota State University. This activity is sponsored primarily through the NASA MEaSUREs program, with its emphasis on producing quality data products...
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HU-8 basins attributed with various attributes related to identifying conservation opportunities within the Mississippi River Basin. See field map below. Field Name Description flag For internal use during data processing. 2 = Upper Missouri Basin (10U); 77 = Cedar River Basin Initiative; 88 = Fishers & Farmers Initiative; 7788 = (Priority for both Cedar River and Fishers & Farmers); 66 = Ohio River Basin FHP; 333 = Kansas WRAPS Priority MRBI "1" if identified as a priority by the NRCS' Mississippi river Basin Initiative, "0" if not. NWQI "1" if identified as a priority by the National Water Quality Initiative, "0" if not. HumDim "1" if intersecting a Human Dimension Study county, "0" if not. Dakotas...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: LCC, LCC, agriculture, agriculture, birds, All tags...
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Proxy herbaceous land (Grassland/Pasture & Other Hay/Non-Alfalfa classes) patches, minimum size - 10 acres, from the 2013 Cropland Data Layer within the Mississippi River Basin and used to evaluate landscape context of grazing land. May include pasture or hay lands in addition to native grasslands.
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Bedrock geology strongly influences area soil and water chemistry. Even in glaciated landscapes, studies suggest that soil parent material is commonly of local origin, rarely being ice-transported more that a few miles from its source. Bedrock types also differ in how they weather and in the physical characteristics of the residual soil type. Because of this, local lithology is usually the principle determinant of soil chemistry, texture, and nutrient availability. Many ecological community types are closely related to the chemistry and drainage of the soils or are associated with particular bedrock exposures. We grouped bedrock units on the bedrock geology maps of ME, NH, VT, MA, CT, RI, NY, PA, NJ, and MD into...
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A "landform" is any physical, recognizable form or feature on the earth's surface that has a characteristic shape and that is produced by natural causes (USDA Natural Resources Conservation Service). Landforms are largely responsible for local variation in solar radiation, soil development, moisture availability, and susceptibility to wind and other disturbance. They therefore have a large influence on plant productivity and species distributions. This dataset maps 17 landforms that are commonly found in the Northeastern U.S. and eastern Canada. This dataset was developed by The Nature Conservancy as part of "Resilient Sites for Terrestrial Conservation in the Northeast and Mid-Atlantic region" found here: http://www.conservationgateway.org/ConservationByGeography/NorthAmerica/U...


map background search result map search result map Current Natural Hazards Events Terrestrial Habitat, Northeast Bedrock Geology, Northern Appalachians/Acadians Hydrography High Resolution, 1:24,000, Northeast Landforms, Northern Appalachians Forest Cover Gain, 2000-2012, Northeast Predicted Annual Probability of Observing at least One Herring Gull Steep Slopes HAPET Breeding Pairs - Horned lark Watershed Boundaries with Summary Data (HU-8) Herbaceous Patches (10-ac. min.) Pacific Lamprey Known Observations and Distribution Terrestrial Resilience, New York State NRCS Landscape Conservation Initiatives Geophysical Settings, 2016 Eastern U.S. and Canada Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Mid-South Terrestrial Broadly Defined Habitats Condition Index with Barcode Balduina atropurpurea ensemble species distribution model Tennessee Karst Groundwater Dye Tracing Water Year 2022 Tennessee Karst Groundwater Dye Tracing Water Year 2022 Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Balduina atropurpurea ensemble species distribution model HAPET Breeding Pairs - Horned lark Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. Predicted Annual Probability of Observing at least One Herring Gull Mid-South Terrestrial Broadly Defined Habitats Condition Index with Barcode Terrestrial Habitat, Northeast Terrestrial Resilience, New York State Hydrography High Resolution, 1:24,000, Northeast Pacific Lamprey Known Observations and Distribution Forest Cover Gain, 2000-2012, Northeast Landforms, Northern Appalachians Bedrock Geology, Northern Appalachians/Acadians Steep Slopes Watershed Boundaries with Summary Data (HU-8) Herbaceous Patches (10-ac. min.) NRCS Landscape Conservation Initiatives Geophysical Settings, 2016 Eastern U.S. and Canada Current Natural Hazards Events