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Great Lakes Shoreline Ecosystem inventory
This dataset contains the Great Lakes Shoreline Ecosystem (GLSE) inventory, which is a geospatial digital inventory of: * ecosite polygon mapping * field survey calibration points * associated ground level ecological data It replaces Great Lakes Shoreline Ecosystem mapping products versions 1.0 and 2.0. It is an update to those products and includes the data and information contained in them but now includes data and information for the entire Canadian side of the Great Lakes shoreline including connecting channels, from the land to water or wetland interface to two kilometers inland. Mapping and ground sampling adheres to the Great Lakes Shoreline Ecosystem classification system, (Lee et. al., in prep.) which is a detailed ecological classification and surveying method.
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GL StClair Detroit River 2019 ESI HABITATS Polygons
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This feature class resides within the BIOLOGY Feature Data Set of the Great Lakes - St. Clair / Detroit River System - 2019 ESI Geodatabase. It contains vector polygons representing HABITATS data for the St. Clair / Detroit River System in southeastern Michigan. The study area includes a small portion of southern Lake Huron at its outlet, the St. Clair River (which flows out of Lake Huron), Lake St. Clair, the Detroit River (which flows into Lake Erie), a small portion of western Lake Erie, and adjacent lands and waters. This data set contains sensitive biological resource data for threatened and endangered plants. Vector polygons in this data set represent threatened and endangered plant distributions. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described in Entity Attribute Overview below) designed to be used in conjunction with this spatial data layer. This data set is a portion of the ESI data for the Great Lakes - St. Clair / Detroit River System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.
GL StClair Detroit River 2019 ESI PARKS/MANAGED Polygons, Lines, Points
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These feature classes reside within the SOCECON Feature Data Set of the Great Lakes - St. Clair / Detroit River System 2019 ESI geodatabase. They contain vector polygons, lines and points representing parks and managed areas resource data for the St. Clair / Detroit River System in southeastern Michigan. The study area includes a small portion of southern Lake Huron at its outlet, the St. Clair River (which flows out of Lake Huron), Lake St. Clair, the Detroit River (which flows into Lake Erie), a small portion of western Lake Erie, and adjacent lands and waters. These data sets contain information about the following resources: POINTS & POLYLINES - habitat restoration management areas; POLYGONS- national forests, management areas, military installations, marine sanctuaries, nature conservancy lands, national parks, state and local parks, state protected areas, and wildlife refuges. Object specific Type and Source information are stored in the related data tables, SOC_DAT and SOURCES (described below). These are stand-alone tables within the Geodatabase, designed to be used in conjunction with these spatial data layers. This data set is a portion of the ESI data for Great Lakes - St. Clair Detroit River System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.
GL StClair Detroit River 2019 ESI RESOURCE MANAGEMENT Polygons, Points
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These feature classes reside within the SOCECON Feature Data Set of the Great Lakes - St. Clair / Detroit River System 2019 ESI geodatabase. They contain vector polygons and points representing resource management human-use data for the St. Clair / Detroit River System in southeastern Michigan. The study area includes a small portion of southern Lake Huron at its outlet, the St. Clair River (which flows out of Lake Huron), Lake St. Clair, the Detroit River (which flows into Lake Erie), a small portion of western Lake Erie, and adjacent lands and waters. These data sets contain information about the following resources: POINTS- artificial reefs, invasive species, mine sites, recreational fishing locations, repeated measurement sites, subsistence, and water intakes; POLYGONS- critical habitats, essential habitats, and fishery management areas. Object specific Type and Source information are stored in the related data tables, SOC_DAT and SOURCES (described below). These are stand-alone tables within the Geodatabase, designed to be used in conjunction with these spatial data layers. This data set is a portion of the ESI data for the St. Clair / Detroit River System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.
GL StClair Detroit River 2019 ESI NAVIGATION/MARINE Polygons, Lines, Points
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These feature classes reside within the SOCECON Feature Data Set of the Great Lakes - St. Clair / Detroit River System 2019 ESI geodatabase. They contain vector polygons, lines and points representing navigation/marine area resource data for the St. Clair / Detroit River System in southeastern Michigan. The study area includes a small portion of southern Lake Huron at its outlet, the St. Clair River (which flows out of Lake Huron), Lake St. Clair, the Detroit River (which flows into Lake Erie), a small portion of western Lake Erie, and adjacent lands and waters. These data sets contain information about the following resources: POLYLINES - ferry routes; POINTS- boat ramps, ferries, lock and dams, marinas, and ports; POLYGONS- access sites and anchorages. Object specific Type and Source information are stored in the related data tables, SOC_DAT and SOURCES (described below). These are stand-alone tables within the Geodatabase, designed to be used in conjunction with these spatial data layers. This data set is a portion of the ESI data for the St. Clair / Detroit River System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.
GL LAKE ERIE 2022 ESI NAVIGATIONAL/MARINE Points
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This feature class resides within the SOCECON Feature Data Set of the Lake Erie 2022 ESI Geodatabase. It contains vector points representing Navigational/marine human-use resource data for the Lake Erie System and adjacent lands and waters. The study area includes the United States portion of Lake Erie, covering the coastal portions of Ohio, Pennsylvania, and New York from the Michigan/Ohio border to the west to the New York/Canada border to the east. This data set contains information about the following resources: access points, anchorages, boat ramps, ferry terminals, lock and dams, marinas, and ports in Lake Erie. Object specific Type and Source information are stored in the related data tables, SOC_DAT and SOURCES (described below). These are stand-alone tables within the Geodatabase, designed to be used in conjunction with these spatial data layers. This data set is a portion of the ESI data for the Lake Erie System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.
GL StClair Detroit River 2019 ESI Polygons, Lines
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The feature classes ESIL and ESIP contain vector lines and polygons representing shorelines and intertidal habitats of Great Lakes - St. Clair / Detroit River System in southeastern Michigan, classified by their susceptibility to oiling. The Environmental Sensitivity Index (ESI) classification system, developed by NOAA, considers several natural and biological factors including relative exposure to wave and tidal energy, shoreline slope, substrate type and biological productivity and sensitivity. The study area includes a small portion of southern Lake Huron at its outlet, the St. Clair River (which flows out of Lake Huron), Lake St. Clair, the Detroit River (which flows into Lake Erie), a small portion of western Lake Erie, and adjacent lands and waters. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and includes information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.
GL LAKE ONTARIO 2023 ESI NAVIGATIONAL/MARINE Points
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This feature class resides within the SOCECON Feature Data Set of the Lake Ontario 2023 ESI Geodatabase. It contains vector points representing Navigational/Marine human-use resource data for the Lake Ontario System and adjacent lands and waters, specifically access locations, anchorages, boat ramps, lock and dam systems, and marinas for Lake Ontario. The study area includes the United States portion of Lake Ontario, covering the islands in New York: Association Island, Bass Island, Calf Island, Carl Island, Cherry Island, Eagle Island, Fox Island, Galloo Islands, Grenadier Island, Horse Island, Hoveys Island, Six Point Town, and Stony Island. Major Lake Ontario bays mapped include: Black River Bay, Blind Sodus Bay, Braddock Bay, Chaumont Bay, Guffin Bay, Irondequoit Bay, Henderson Bay, Little Sodus Bay, Mexico Bay, Port Bay, Sawyer Bay, and Sodus Bay. Object specific Type and Source information are stored in the related data tables, SOC_DAT and SOURCES (described below). These are stand-alone tables within the Geodatabase, designed to be used in conjunction with these spatial data layers. This data set is a portion of the ESI data for the Lake Ontario System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.
Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.
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This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The GLCWRA initiative uses principles of geodesign to identify coastal wetland areas that have the greatest potential for habitat restoration. The data model uses the following seven primary parameters to identify and rank wetland restoration areas. The parameters are Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use (represents developed areas without impervious surfaces but high societal value).The ancillary data include dikes, degree flowlines, study area and culverts. The resulting composite index raster can be used by ecological managers and planners to assist with the identification and selection of wetland for restoration initiatives.
Lake Michigan: PARKS/MANAGED AREAS (Polygons)
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This data set contains human-use or management resource data for National Forests, Management Areas, Marine Sanctuaries, Nature Conservancy Lands, National Parks, State Parks, and National Wildlife Refuges in Lake Michigan. Vector polygons in this data set represent park or managed area features. Location specific type and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Lake Michigan. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.