Lake Habitat Survey data collected using the standard Lake Habitat Survey (LHS) methodology by accredited surveyors. LHS is a standard survey of a lake where data is collected in a replicable manner. At 10 ‘Hab-plots’ (Habitat Observation plots) specific details are recorded about lake marginal features. General information about the lake is recorded in the 'sweep-up' section of the survey. The bulk of the surveys were conducted between 2004 and 2009. A total of 99 lakes in England have been surveyed once. This dataset contains summary information of the LHS surveys. The following information has been excluded from the survey data because there is a risk that we might be disclosing personal data: • Surveyor name • Primary use • Litter, dump, landfill (%) • Lake base data – this has been excluded because it was originally taken from an external source. Up-to-date data for UK lakes is available from CEH (Centre for Ecology & Hydrology) through their Lakes Portal (https://eip.ceh.ac.uk/apps/lakes/).

Habitat and ecosystem data used to conduct a baseline survey of coastal habitat in Lake Huron, Georgian Bay, and St. Marys River are included in this dataset. The Lake Huron Survey methodology consists of four general steps; 1) delineating the coastal ecosystem into coastal units based on water flow, ecology, and geology; 2) selecting key habitat types including wetlands, uplands (natural and anthropogenic), tributaries, and inland lakes and ponds, and the measures to assess each habitat type and the entire coastal ecosystem; 3) conducting a spatial analysis and summarizing results; and 4) sharing results.

Habitat and ecosystem data used to conduct a baseline survey of coastal habitat in Lake Superior, Nipigon Bay, and Black Bay are included in this dataset. The Lake Superior Survey methodology consists of four general steps; 1) delineating the coastal ecosystem into coastal units based on water flow, ecology, and geology; 2) selecting key habitat types including wetlands, uplands (natural and anthropogenic), tributaries, and inland lakes and ponds, and the measures to assess each habitat type and the entire coastal ecosystem; 3) conducting a spatial analysis and summarizing results; and 4) sharing results.

Habitat and ecosystem data used to conduct a baseline survey of coastal habitat in Lake Erie, St. Clair River, Lake St. Clair and Detroit River are included in this dataset. The Lake Erie Survey methodology consists of four general steps; 1) delineating the coastal ecosystem into coastal units based on water flow, ecology, and geology; 2) selecting key habitat types including wetlands, uplands (natural and anthropogenic), tributaries, and inland lakes and ponds, and the measures to assess each habitat type and the entire coastal ecosystem; 3) conducting a spatial analysis and summarizing results; and 4) sharing results.

Habitat and ecosystem data used to conduct a baseline survey of coastal habitat in Lake Ontario, Niagara River and the St. Lawrence River (up to the Quebec border) are included in this dataset. The Lake Ontario Survey methodology consists of four general steps; 1) delineating the coastal ecosystem into coastal units based on water flow, ecology, and geology; 2) selecting key habitat types including wetlands, uplands (natural and anthropogenic), tributaries, and inland lakes and ponds, and the measures to assess each habitat type and the entire coastal ecosystem; 3) conducting a spatial analysis and summarizing results; and 4) sharing results.

The Aquatic Habitat Inventory contains lake, river and stream survey data collected from the 1950s to the 1990s. These surveys were conducted to acquire basic knowledge of the chemical, physical and biological characteristics of Ontario’s lakes, rivers, and streams to aid in watershed planning, aquatic habitat conservation and fisheries management.

The Aquatic Habitat Inventory contains lake, river and stream survey data collected from the 1950s to the 1990s. These surveys were conducted to acquire basic knowledge of the chemical, physical and biological characteristics of Ontario’s lakes, rivers, and streams to aid in watershed planning, aquatic habitat conservation and fisheries management.

description: Since the last vegetative survey in 1965, the marsh at Canvasback Gun Club has remained virtually unchanged. The Arthur-Johnson Ponds produced most of the waterfowl food. Dutch Bill Lake, Big Mallard Lake and Freeman Lakes were practically barren of submergent vegetation. The purpose of the survey was to determine species composition, relative abundance and distribution of submergents in the Canvasback Gun Club in Nevada.; abstract: Since the last vegetative survey in 1965, the marsh at Canvasback Gun Club has remained virtually unchanged. The Arthur-Johnson Ponds produced most of the waterfowl food. Dutch Bill Lake, Big Mallard Lake and Freeman Lakes were practically barren of submergent vegetation. The purpose of the survey was to determine species composition, relative abundance and distribution of submergents in the Canvasback Gun Club in Nevada.

description: A large-scale lake study on Interior Alaska National Wildlife Refuges (NWR) was undertaken from 1984 1986. Six NWRs were surveyed (Innoko, Kanuti, Koyukuk, Nowitna, Tetlin, and Yukon Flats) and lake-specific habitat and fish data were collected from 135 lakes, though a comprehensive report of the findings was never published. This Alaska Fisheries Data Series Report presents these data, allowing public access to this important information. Lake locations, reference and bathymetric maps, lake habitat descriptions, and fisheries data are organized and presented. Lowland lakes were most commonly sampled (74), followed by foothill (31) and oxbow (30) lakes. The highest elevation and deepest sampled lakes were in Tetlin NWR. The highest water quality measurements (conductivity, total alkalinity, total hardness, and pH) came from Yukon Flats NWR lakes. Of the 135 lakes sampled, 102 lakes contained fish. A total of 15 fish species were collected throughout the study, with Tetlin NWR lakes having the highest species diversity (9 species) and Nowitna and Yukon Flats NWRs having the lowest (6 species). Humpback whitefish Coregonus clupeaformis, least cisco C. sardinella, and northern pike Esox lucius had the widest distribution, being present in all six refuges. The highest frequencies of fish occurrence were in oxbow and lowland lakes, lakes with river connections, and lakes with high flood potential. Foothill lakes and lakes without river connections had the lowest probability of fish capture. Koyukuk NWR had the most sampled lakes containing fish (96%) and Yukon Flats NWR had the fewest sampled lakes with fish present (49%). Northern pike was the most ubiquitous species, occurring in 90% of all lakes containing fish. Fish species diversity was highest in lakes with river connections (14 species).; abstract: A large-scale lake study on Interior Alaska National Wildlife Refuges (NWR) was undertaken from 1984 1986. Six NWRs were surveyed (Innoko, Kanuti, Koyukuk, Nowitna, Tetlin, and Yukon Flats) and lake-specific habitat and fish data were collected from 135 lakes, though a comprehensive report of the findings was never published. This Alaska Fisheries Data Series Report presents these data, allowing public access to this important information. Lake locations, reference and bathymetric maps, lake habitat descriptions, and fisheries data are organized and presented. Lowland lakes were most commonly sampled (74), followed by foothill (31) and oxbow (30) lakes. The highest elevation and deepest sampled lakes were in Tetlin NWR. The highest water quality measurements (conductivity, total alkalinity, total hardness, and pH) came from Yukon Flats NWR lakes. Of the 135 lakes sampled, 102 lakes contained fish. A total of 15 fish species were collected throughout the study, with Tetlin NWR lakes having the highest species diversity (9 species) and Nowitna and Yukon Flats NWRs having the lowest (6 species). Humpback whitefish Coregonus clupeaformis, least cisco C. sardinella, and northern pike Esox lucius had the widest distribution, being present in all six refuges. The highest frequencies of fish occurrence were in oxbow and lowland lakes, lakes with river connections, and lakes with high flood potential. Foothill lakes and lakes without river connections had the lowest probability of fish capture. Koyukuk NWR had the most sampled lakes containing fish (96%) and Yukon Flats NWR had the fewest sampled lakes with fish present (49%). Northern pike was the most ubiquitous species, occurring in 90% of all lakes containing fish. Fish species diversity was highest in lakes with river connections (14 species).

description: This report summarizes a survey of the submergent and emergent aquatics growing in the marsh on the Canvasback Gun Club in Nevada. The marsh portion of the Canvasback Gun Club has virtually remained unchanged through the five years that surveys were conducted on it- as far as the growth of submergent plants is concerned. The only increase in submergent plant growth was noted in Big Freeman Lake, where both Nevada pondweed and coontail have extended their area but have not increased to any extent in density. As long as the lakes receive a constant high level of water and a good supply of carp exists, there will be no improvement in the growth and quality of submergents on the Club. As has been discovered on Stillwater Wildlife Management Area and many other marshes like it, a periodic dewatering program improves submergent plant growth. At the same time, it slows growth of emergent plants and curbs heavy carp populations. There is no need to discuss this further as a good dewatering program has already been recommended. Except for the improvement in Freeman Lakes, nothing new has been established in this years survey.; abstract: This report summarizes a survey of the submergent and emergent aquatics growing in the marsh on the Canvasback Gun Club in Nevada. The marsh portion of the Canvasback Gun Club has virtually remained unchanged through the five years that surveys were conducted on it- as far as the growth of submergent plants is concerned. The only increase in submergent plant growth was noted in Big Freeman Lake, where both Nevada pondweed and coontail have extended their area but have not increased to any extent in density. As long as the lakes receive a constant high level of water and a good supply of carp exists, there will be no improvement in the growth and quality of submergents on the Club. As has been discovered on Stillwater Wildlife Management Area and many other marshes like it, a periodic dewatering program improves submergent plant growth. At the same time, it slows growth of emergent plants and curbs heavy carp populations. There is no need to discuss this further as a good dewatering program has already been recommended. Except for the improvement in Freeman Lakes, nothing new has been established in this years survey.

This report contains information about Bristol Lake habitat quality. The data presented in this document includes information regarding aquatic vegetation, terrain features, physical and chemical water characteristics, pollution, fish habitation, and fish species composition. In addition this report discusses recreational use and land use and development.

Visual survey community data for Lake Tanganyika's littoral fish species. Surveys represent underwater visual surveys undertaken at depths of 5 and 10 metres within the littoral habitat. Surveys were undertaken across 21 sites with ten surveys undertaken at each site. Surveys were undertaken within 2016 and 2017. For further information including survey design and site GPS locations see:Doble C. J, Hipperson H, Salzburger W, Horsburgh G, Mwita C, Murrell D. J and Day J. J. (Accepted) Testing the performance of environmental DNA metabarcoding for surveying highly diverse tropical fish communities: A case study from Lake Tanganyika. Environmental DNA

This document contains information about Buckley lake habitat quality. Information recorded includes physical, chemical, temperature, oxygen, obstruction and pollutions, stocking, access, and habitation data. Maps and images are also included.

This dataset provides shapefile outlines of the 881 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). A csv file of lake metadata is also included. This dataset is part of a larger data release of lake temperature model inputs and outputs for 881 lakes in the U.S. state of Minnesota (https://doi.org/10.5066/P9PPHJE2).

THIS MAP IS NOT AUTHORITATIVE. SEE TERMS OF USE BELOW.This web map was developed by the National Oceanic and Atmospheric Administration’s (NOAA) Office for Coastal Management and is featured in the U.S. Great Lakes Collaborative Benthic Habitat Mapping Common Operating Dashboard in support of the Collaborative Benthic Habitat Mapping in the Nearshore Waters of the Great Lakes Basin Project. This multi-year, multi-agency project is funded through the Great Lakes Restoration Initiative (GLRI) and focuses on new bathymetric data (airborne lidar and vessel based sonar) acquisition, validation, and benthic habitat characterization mapping of the nearshore waters (0-80 meters) in the U.S. Great Lakes. This project also contributes to the regional Lakebed 2030 campaign, which aims to have high-density bathymetric data available for the entirety of the Great Lakes by 2030. This web map contains data layers reflecting the current status of bathy data coverage in the nearshore (0-80 meters) of the U.S. Great Lakes, including acquisition (lidar and multibeam sonar), ground-truthing/validation, and benthic habitat mapping and characterization. Acquisition layers include coverage areas that have been acquired and are available for public use (green) as well as those that have been acquired, but are not yet available or are still in progress (orange). The nearshore water depth layers (0-25 and 25-80 meters) were created using the National Centers for Environmental Information (NCEI) Great Lakes Bathymetry (3-second resolution) grid extracts. The 0 to 25 meter nearshore water depth layer represents areas where bathymetric lidar data acquisition could ideally be conducted, depending on water condition and turbidity. The 25 to 80 meter layer shows locations where acoustic data acquisition can occur. See below for information on additional data layers. All data originally projected in the following coordinate system: EPSG:3175, NAD 1983 Great Lakes and St Lawrence Albers.This map will continue to be updated as new information is made available.Source Data for Bathy Coverage Layers - Acquired/Available:Topobathy and Bathy Lidar (NOAA's Data Access Viewer: https://coast.noaa.gov/dataviewer/#/; U.S. Interagency Elevation Inventory (USIEI): https://coast.noaa.gov/inventory/). Multibeam Sonar (National Centers for Environmental Information (NCEI) Bathymetric Data Viewer: https://www.ncei.noaa.gov/maps/bathymetry/; NOAA's Data Access Viewer: https://coast.noaa.gov/dataviewer/#/; U.S. Interagency Elevation Inventory (USIEI): https://coast.noaa.gov/inventory/; USGS ScienceBaseCatalog: https://www.sciencebase.gov/catalog/item/656e229bd34e7ca10833f950)Source Data for Bathy Coverage Layers - GLRI AOIs (2020-2024):Acquisition: NOAA Office for Coastal ManagementValidation/CMECS Characterizations: NOAA National Centers for Coastal Ocean Science (NCCOS)Source Data for Bathy Coverage Layers - In Progress and Planned:NOAA Office of Coast Survey Plans: https://gis.charttools.noaa.gov/arcgis/rest/services/Hydrographic_Services/Planned_Survey_Areas/MapServer/0NOAA Office for Coastal ManagementSource Data for Nearshore Water Depths:NOAA's National Centers for Environmental Information (NCEI) Great Lakes Bathymetry (3-second resolution) grid extracts: https://www.ncei.noaa.gov/maps/grid-extract/Source Data for Spatial Prioritization Layers:Great Lakes Spatial Priorities Study Results Jun 2021. https://gis.charttools.noaa.gov/arcgis/rest/services/IOCM/GreatLakes_SPS_Results_Jun_2021/MapServerMapping priorities within the proposed Wisconsin Lake Michigan National Marine Sanctuary (2018). https://gis.ngdc.noaa.gov/arcgis/rest/services/nccos/BiogeographicAssessments_WILMPrioritizationResults/MapServerThunder Bay National Marine Sanctuary Spatial Prioritization Results (2020). https://gis.ngdc.noaa.gov/arcgis/rest/services/nccos/BiogeographicAssessments_TBNMSPrioritizationResults/MapServerSource Data for Supplemental Data Layers:International Boundary Commission U.S./Canada Boundary (version 1.3 from 2018): https://www.internationalboundarycommission.org/en/maps-coordinates/coordinates.phpNational Oceanic and Atmospheric Administration (NOAA) HydroHealth 2018 Survey: https://wrecks.nauticalcharts.noaa.gov/arcgis/rest/services/Hydrographic_Services/HydroHealth_2018/ImageServerNational Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas (MPA) Inventory 2023-2024: https://www.fisheries.noaa.gov/inport/item/69506National Oceanic and Atmospheric Administration (NOAA) National Marine Sanctuary Program Boundaries (2021): https://services2.arcgis.com/C8EMgrsFcRFL6LrL/arcgis/rest/services/ONMS_2021_Boundaries/FeatureServerNational Oceanic and Atmospheric Administration (NOAA) U.S. Bathymetry Gap Analysis: https://noaa.maps.arcgis.com/home/item.html?id=4d7d925fc96d47d9ace970dd5040df0aU.S. Environment Protection Agency (EPA) Areas of Concern: https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/epa_areas_of_concern_glahf_viewlayer/FeatureServerU.S. Geological Survey (USGS) Great Lakes Subbasins: https://www.sciencebase.gov/catalog/item/530f8a0ee4b0e7e46bd300dd Latest update: February 20, 2025

description: Aquatic vegetation surveys were conducted on Stillwater Wildlife Management Area, Canvasback Club, Carson Lake, and several other wetlands in Lahontan Valley, Nevada. This was the second drought year in a row, and wetland acreage was severely reduced. Species diversity was low on most wetlands, and sago pondweed was the dominant species. The greatest production of submerged vegetation occurred in Lower Foxtail and East Alkali #1 at Stillwater WMA. Old River Reservoir and S-Line Reservoir were the only other wetlands that produced substantial amounts of submerged vegetation. No submerged vegetation was found on the major wetland units of the Canvasback Club or Carson Lake.; abstract: Aquatic vegetation surveys were conducted on Stillwater Wildlife Management Area, Canvasback Club, Carson Lake, and several other wetlands in Lahontan Valley, Nevada. This was the second drought year in a row, and wetland acreage was severely reduced. Species diversity was low on most wetlands, and sago pondweed was the dominant species. The greatest production of submerged vegetation occurred in Lower Foxtail and East Alkali #1 at Stillwater WMA. Old River Reservoir and S-Line Reservoir were the only other wetlands that produced substantial amounts of submerged vegetation. No submerged vegetation was found on the major wetland units of the Canvasback Club or Carson Lake.

Score The Shore is a natural resources survey to estimate the amount of habitat in three lakeshore zones; shoreland, shoreline, and aquatic. This scoring process provides a simple method of ranking individual lake sites and the entire lake based on the amount of lakeshore remaining in natural condition. High: These sites have a very high percentage of unaltered habitat in each of the three Zones. Moderate: These sites also have a high percentage of unaltered habitat but at least one Zone has lower habitat quality than a "High" site. Low: These sites are typically developed and have a lower than expected amount of natural habitat. Very Low: These sites have been heavily altered by the removal of vegetation and related habitat.

The National Lakes Assessment (NLA) is a statistical survey of the condition of our nation's lakes, ponds, and reservoirs. It is designed to provide information on the extent of lakes that support healthy biological condition and recreation, estimate how widespread major stressors are that impact lake quality, and provide insight into whether lakes nationwide are getting cleaner. This dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NLA 2017 report. Sampling was conducted in the summer of 2017 at approximately 1000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, profile data, benthic macroinvertebrates, physical habitat, landscape metrics, phytoplankton data, secchi depth, data, tropic status, zooplankton, etc. Users are encouraged to visit the NARS data webpage for updates to data files (e.g., for example updated zooplankton files) and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys Citation for the NLA 2017 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Lakes Assessment 2017 Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-lakes-assessment-2017. DOI: 10.23719/1529585 EPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Lakes Assessment 2017 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.” Additional information: NLA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section.

This report contains information about Torkelsen Lake habitat quality. The data presented in this document includes information regarding aquatic vegetation, terrain features, physical and chemical water characteristics, pollution, fish habitation, and fish species composition. In addition this report discusses recreational use and land use and development.