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Intracoelomic implantation of electronic tags has become a common method in fishery research, but rarely are fish examined by scientists after release to understand the extent that surgical incisions have healed. Walleye (Sander vitreus) are a valuable, highly-exploited fishery resource in the Laurentian Great Lakes. Here, fishery capture of walleye with internal acoustic transmitters combined with a high reward program provided multiple opportunities to examine photographs and quantify the status of surgical incisions. Walleye (n=926) from reef and river spawning populations in Lake Erie and Lake Huron were implanted with acoustic transmitters during spring spawning events from 2011 to 2016. Incisions were closed...
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This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Upper Peninsula Restoration Assessment (UPRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7 parameters (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) and Index Composite directly correlate to areas that are recommended for restoration. The dikes, degree...
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This data release provides the georeferenced boundaries that delimit each spatial unit of the Great Lakes Regional Aquatic Gap Analysis Project (GLGap) Coastal Hydrospatial Framework at each spatial scale from the local 90m cell to the entire Laurentian Great Lakes system and from the shoreline to the deepest offshore waters. The U.S. Geological Survey and the U.S. Fish and Wildlife Service collaborated to design a universal framework of spatial areas that encompass all space of the Laurentian Great Lakes proper. Agglomeration of the finest units (90m cells) form coarser, broader scale units. Finer units are nested within the coarser units at six spatial scales, labeled as Local Cells, Aquatic Habitat Areas, Coastal...
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This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set. These data include parameter inputs from external sources current to 2016. For...
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This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Saginaw Bay Restoration Assessment (SBRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7 parameters (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) and Index Composite directly correlate to areas that are recommended for restoration. The dikes, degree...
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This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set. These data include parameter inputs from external sources current to 2016. For...
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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 data set, compiled by the USGS Lake Erie Biological Station, provides near-bottom measurements of temperature and dissolved oxygen for the Central Basin of Lake Erie. Data were recorded by self-contained environmental data loggers (PME, Inc., MiniDOT data loggers). The data loggers were deployed to collect data during August 2021 through November 2022 to better understand how hypoxia develops and influences fish habitat quality during lake stratification. The data loggers were deployed on acoustic telemetry receivers in a network designed to record tagged fish movements (Great Lakes Acoustic Telemetry Observation System, GLATOS). Additional years of data collection are planned, and data release will be updated...
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This data set, compiled by USGS Lake Erie Biological Station, provides near-bottom measurements of temperature and dissolved oxygen for the Central Basin of Lake Erie. Data were recorded by self-contained environmental data loggers (PME, Inc., MiniDOT data loggers). The data loggers were deployed during the stratified period (i.e., beginning of June 2020 through late October 2020) to better understand how hypoxia develops and influences fish habitat quality. The data loggers were deployed on acoustic telemetry receivers in a network designed to record tagged fish movements (Great Lakes Acoustic Telemetry Observation System, GLATOS). Additional years of data collection are planned, and data release will be updated...
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Great Lakes coastal marshes have the potential to filter water coming off of the landscape and remove sediments and nutrients before they reach the lakes. However, this ability has largely been neutralized as vast areas of coastal wetlands have been isolated behind dikes; while at the same time the Great Lakes continue to suffer from excess phosphorus loading. In this study we used high-frequency measurements of discharge and turbidity to estimate sediment and phosphorus retention in a formerly diked coastal wetland. We found sediment and phosphorus retention to be episodic and highly related to fluctuations in water level. Low water levels in Lake Erie in late 2012 resulted in low retention in the wetland, but...
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This dataset represents the location of dikes within the Connecting River Systems Restoration Assessment (CRSRA) study area. For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/.
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This represents the flowline network in Western Lale Erie Restoration Assessment (WLERA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area. These data include parameter inputs from external sources current to 2016. For an updated data set, including parameter inputs up to 2023, please see: Jaenicke, M.E., Hopkins, A.L., Kowalski, K.P., Bozimowski, A.A., and Sanocki, C.A., 2024,...
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Artificial Path, Canal / Ditch, FWHydrography, Great Lakes, Hydrography, All tags...
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Insects with morphologically different life stages can face a time tradeoff between foraging and egg-laying behavior when larval and adult resources are spatially segregated. Understanding this tradeoff in the Karner blue butterfly (Lycaeides melissa samuelis) can inform resource management for this federally endangered species under changing resource distribution and availability. We collected data on adult butterfly densities, larval (wild blue lupine, Lupinus perennis) and adult (nectaring plants) resource densities, and adult resource use. We defined “resource use” as anytime a butterfly was found (resting, crawling, feeding, laying eggs, mating) on a resource. Data were collected in eight habitat patches (10...
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This represents the flowline network in Connecting River Systems Restoration Assessment (CRSRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area. These data include parameter inputs from external sources current to 2016. For an updated data set, including parameter inputs up to 2023, please see: Hopkins, A.L., Jaenicke, M.E., Bozimowski, A.A., Kowalski, K.P., and Sanocki,...
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Artificial Path, Canal / Ditch, Detroit River, FWHydrography, Great Lakes, All tags...
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The U.S. Geological Survey (USGS) created geospatial datasets of potential culvert locations along with flowlines connected to southwestern Lake Erie as part of the Western Lake Erie Restoration Assessment (WLERA). The Degree Flowlines and Culverts datasets represent the flowline network and culverts in the WLERA study area. Both datasets will be served in the Great Lakes Wetlands Restoration Area mapping application [https://glcwra.wim.usgs.gov/]. The map-based user interface can be used by stakeholders to find potential areas for successful wetlands restoration. Each flowline was assigned a connectivity score describing its level of connectedness to Lake Erie. Low numbers represent fewer disconnections, such as...
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Assessing the distribution and abundance of both predator and prey (forage) fish species is a cornerstone of ecosystem-based based fishery management, and supports decision making that considers food-web interactions. In support of binational Great Lakes fishery management the objectives of this survey were to: provide estimates of densities of key forage and predator species in the western basin of Lake Erie, to assess seasonal and spatial distributions of fishes, and to assess year class strength. A systematic grid sampling approach with 41 stations was sampled during June (Spring) and September (Autumn), starting in 2013. This data release adds 2017 data to the set – making it five years of continuous observation.
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Adaptive efforts to achieve water quality objectives by modifying nutrient loading can have attendant impacts on fish habitats and fisheries. Thus, coordinating fishery and water quality management depends on knowledge of fish behavioral responses to habitat change. This data set aims to reduce these knowledge gaps by combining acoustic telemetry detections of a native demersal fish, lake whitefish (Coregonus clupeaformis), along with forecasted abiotic water quality parameters (e.g., temperature and dissolved oxygen) throughout Lake Erie during periods of seasonal hypoxia. Lake whitefish were tagged throughout 2015-2017. Detection locations of tagged lake whitefish were recorded throughout 2017-2018, using the...
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In 2014, the USGS Lake Erie Biological Station participated in the Coordinated Science and Monitoring Initiative (CMSI) program, a program founded by the U.S. Environmental Protection Agency (EPA) and Environment Canada in the 1990s as a means to focus collaborative research attention on one of the five Great Lakes each year (on a rotating schedule) as a means to increase scientific knowledge for Great Lakes restoration. The Lake Erie survey examined the food web across a nearshore to offshore gradient, matching the sampling design the preceding USGS studies of the other four Great Lakes (2010-2013). We sampled all trophic levels in all three lake basins across multiple seasons in order to determine nutrient availability...


map background search result map search result map Joint Analysis of Genetic and Age Data to Estimate Trends in Strain Specific Recruitment of Wild Lake Trout Connecting River Systems Restoration Assessment Degree Flowlines (2016) Connecting River Systems Restoration Assessment Dikes (2016) Western Lake Erie Restoration Assessment Degree Flowlines (2016) Western Lake Erie Restoration Assessment Dikes (2016) Hydrospatial Framework for the Laurentian Great Lakes Condition of Surgical Acoustic Tag Incisions in Recaptured Lake Erie Walleye (2011-2016) Lake Erie Collaborative Science and Monitoring Initiative 2014 Lake Erie Fish Community Data, 2013-2017 Karner blue butterfly densities, resource densities, and resource use at Sandhill Wildlife Area, Wisconsin, 2016 NOAA Commercial Fishing Reports (1971-2016) Using turbidity measurements to estimate phosphorus and sediment flux in a Great Lakes Coastal Marsh, in Ohio Bottom dissolved oxygen measurements from Lake Erie's Central Basin, 2020 Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S. (ver. 2.0, January 2024) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.: Degree Flowlines Lake whitefish telemetry detections in Lake Erie with reference to seasonal hypoxia, 2015-2021 Bottom dissolved oxygen measurements from Lake Erie's Central Basin, 2021-2022 Connecting River Systems Restoration Assessment Dikes Saginaw Bay Restoration Assessment Composite Model Western Lake Erie Restoration Assessment Degree Flowlines Karner blue butterfly densities, resource densities, and resource use at Sandhill Wildlife Area, Wisconsin, 2016 Using turbidity measurements to estimate phosphorus and sediment flux in a Great Lakes Coastal Marsh, in Ohio Connecting River Systems Restoration Assessment Dikes (2016) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.: Degree Flowlines Connecting River Systems Restoration Assessment Dikes Connecting River Systems Restoration Assessment Degree Flowlines (2016) Western Lake Erie Restoration Assessment Dikes (2016) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S. (ver. 2.0, January 2024) Lake Erie Fish Community Data, 2013-2017 Western Lake Erie Restoration Assessment Degree Flowlines (2016) Western Lake Erie Restoration Assessment Degree Flowlines Bottom dissolved oxygen measurements from Lake Erie's Central Basin, 2020 Saginaw Bay Restoration Assessment Composite Model Bottom dissolved oxygen measurements from Lake Erie's Central Basin, 2021-2022 Condition of Surgical Acoustic Tag Incisions in Recaptured Lake Erie Walleye (2011-2016) Lake whitefish telemetry detections in Lake Erie with reference to seasonal hypoxia, 2015-2021 Lake Erie Collaborative Science and Monitoring Initiative 2014 Joint Analysis of Genetic and Age Data to Estimate Trends in Strain Specific Recruitment of Wild Lake Trout NOAA Commercial Fishing Reports (1971-2016) Hydrospatial Framework for the Laurentian Great Lakes