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This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Green Bay Restoration Assessment (GBRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. These data help identify the condition of hydrologic separation between potential restoration areas and Lake Ontario. Low numbers represent fewer disconnections, such as culverts, between the reach and the water body requiring no flow network modification...
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Water scarcity is a growing concern in Texas, where surface water is derived almost entirely from rainfall. Changes in air temperature and precipitation patterns associated with global climate change are anticipated to regionally affect the quality and quantity of inland surface waters and consequently their suitability as habitat for freshwater life. In addition to directly affecting resident organisms and populations, these changes in physicochemical traits of aquatic habitats may favor the establishment of harmful invasive species. As conflicts over the use of water resources grow in intensity, this information will become important for fish and wildlife managers to anticipate impacts of climate change on trust...
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This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Upper Peninsula Restoration Assessment (UPRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. These data help identify the condition of hydrologic separation between potential restoration areas and Lake Ontario. Low numbers represent fewer disconnections, such as culverts, between the reach and the water body requiring no flow network modification...
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This U.S. Geological Survey (USGS) data release provides phytoplankton data collected as part of an advanced harmful algae bloom (HAB) monitoring study conducted in collaboration with the New York State Department of Environmental Conservation (NYSDEC). Samples were collected biweekly in association with continuous monitoring platforms in Owasco, Seneca, and Skaneateles Lakes, Finger Lakes Region, New York and one opportunistic bloom sample site at Emerson Park Boat Launch in Owasco Lake. The platforms were deployed from May-November in 2019 and June-October in 2020. This dataset includes all routine and quality assurance/quality control samples collected at the four sampling locations on the three lakes: three...


    map background search result map search result map Modeling and Projecting the Influence of Climate Change on Texas Surface Waters and their Aquatic Biotic Communities Phytoplankton Data from Owasco, Seneca, and Skaneateles Lakes, Finger Lakes Region, New York, 2019–2020 (ver. 2.1, June 2023) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.: Degree Flowlines Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Degree Flowlines Phytoplankton Data from Owasco, Seneca, and Skaneateles Lakes, Finger Lakes Region, New York, 2019–2020 (ver. 2.1, June 2023) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.: Degree Flowlines Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Degree Flowlines Modeling and Projecting the Influence of Climate Change on Texas Surface Waters and their Aquatic Biotic Communities