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This data set includes WRTDS nutrient flux trend results and the values of daily streamflow trend results displayed in the Quantile-Kendall plots. For 1995-2015 nutrient trends, the method of generalized flow normalization (FNG) was used which explicitly addresses non-stationary streamflow conditions. For 2005-2015 nutrient trends, the WRTDS trend analyses used the method of stationary flow normalization (FNS) because streamflow nonstationarity is difficult to assess over this shorter duration time frame. The 1995-2015 annual nutrient trends were determined for all five nutrient parameters (TP, SRP, TN, NO23, TKN), and monthly trends were evaluated only for SRP. The 2005-2015 annual nutrient trends were determined...
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This Benthic Invertebrate Community Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the benthic invertebrates sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), the invertebrate samples were taken from sediments remaining from the sediment analysis. Identification of the invertebrates was completed by the same invertebrate taxonomist for both the 1998-2000 evaluation and 1986-87 historical evaluation (Smith et al. 1994) for increased consistency. Oligochaetes were identified to species if possible, chironomids were identified to genus, as adult specimens are needed for specific identification, and other taxa...
Categories: Data; Tags: AOCs, Ameiurus nebulosus, Ashtabula, Ashtabula River, Black River, All tags...
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This dataset describes the hydrogeomorphic structure and lake-tributary mixing in three intermediate-sized Lake Michigan rivermouths: Ford River, Manitowoc River, and Pere Marquette River. Data were collected from May to October 2011. Water chemistry variables were measured with a multiparameter sonde along longitudinal, lateral, and vertical transects. Magnesium, boron, and stable water isotope concentrations were also determined from grab water samples at particular depths.
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Zebra and quagga mussel veligers were exposed to eleven distinct cultures (isolates) of cyanobacteria representing Anabaena, Aphanizomenon, Dolichospermum, Microcystis, and Planktothrix species and the cyanotoxin microcystin to determine the lethality of cyanobacteria on dreissenid veligers. Six-day laboratory bioassays were performed in microplates using dreissenid veligers collected from the Detroit River, Michigan, USA. Veligers were exposed to increasing concentrations of cyanobacteria and microcystin using the green algae Chlorella minutissima as a control. Raw data were fit to dose response curves formulated from a Probit model to calculate LC50 values. This data release presents the raw data summarized and...
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Site-specific multiple linear regression models were developed for one beach in Ohio (three discrete sampling sites) and one beach in Pennsylvania to estimate concentrations of Escherichia coli (E. coli) or the probability of exceeding the bathing-water standard for E. coli in recreational waters used by the public. Traditional culture-based methods are commonly used to estimate concentrations of fecal indicator bacteria, such as E. coli; however, results are obtained 18 to 24 hours post sampling and do not accurately reflect current water-quality conditions. Beach-specific mathematical models use environmental and water-quality variables that are easily and quickly measured as surrogates to estimate concentrations...
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The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and the U.S. Environmental Protection Agency (EPA), identified the occurrence of contaminants of emerging concern (CECs) in water and bottom sediment collected in 2013 at 57 sites throughout the Great Lakes Basin. The 2013 effort is part of a long-term study that began in 2010. Included in this directory are references to or descriptions of analytical methods used, collection methods, environmental data, and associated quality-assurance data for samples collected in 2013. Samples were collected from April through October 2013 by USGS, USFWS, and/or EPA personnel. Study sites include tributaries to the Great Lakes...
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Within the time frame of the longevity of tree species, climate change will change faster than the ability of natural tree migration. Migration lags may result in reduced productivity and reduced diversity in forests under current management and climate change. We evaluated the efficacy of planting climate-suitable tree species (CSP), those tree species with current or historic distributions immediately south of a focal landscape, to maintain or increase aboveground biomass, productivity, and species and functional diversity. We modeled forest change with the LANDIS-II forest simulation model for 100 years (2000–2100) at a 2-ha cell resolution and five-year time steps within two landscapes in the Great Lakes region...
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Full life-cycle vulnerability assessments are identifying the effects of climate change on nongame migratory birds that are of conservation concern and breed in the upper Midwest and Great Lakes region. Full life-cycle analyses are critical, as current efforts likely underestimate the vulnerability of migratory land birds due to a focus on assessing only one component of the annual cycle. The approach provides a framework for integrating exposure to climate changes, sensitivity to these changes, and the potential for adaptation in both winter and summer seasons, and accounts for carry-over effects from one season to another. The results of this work will inform regional management by highlighting both local and...
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For management agencies, there is a growing need to understand (1) how climate change affects and will continue to affect wildlife populations of conservation concern, and (2) how the negative Upper Midwest Great Lakes Landscape Conservation Cooperative Request for Funding 2013 demographic effects of climate change can be mitigated through management strategies. Climate Change Vulnerability Assessment (CCVA) integrates available data and scientific understanding in a transparent process, details assumptions and uncertainties, and ultimately projects population-level responses of target species to future climate change. Climate change is already influencing distributions and abundances of species throughout North...
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Problem – Currently, swim advisories or closings are issued by beach managers based on standards for concentrations of bacterial indicators such as Escherichia coli (E. coli). Standard culture methods for these bacteria take at least 18-24 hours before results are available. At most Great Lakes beaches, the beach is posted with an advisory or closing or is determined to be acceptable for swimming on the basis of the previous day’s E. coli concentration. Sanitary conditions may change overnight and even throughout the day (Boehm and others, 2002) making decisions made from previous days information incorrect. Because of this time-lag issue, water-resource managers are seeking solutions that provide near real-time...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Contaminants, Microbial, Contaminants, Microbial, Contaminants, Natural, Contaminants, Natural, Contaminants, Organic, All tags...
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84...
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This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, Minnesota. The DEM has a 10-meter (m; 32.8084 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography, and multibeam sonar data representing the bathymetry. The survey area extends approximately 0.85 kilometers (0.5 miles) offshore, for an approximately 1.87 square kilometer surveyed area. Lidar data were collected September 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected September 22-23, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc)...
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This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, Minnesota. The DEM has a 5-meter (m; 16.404 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography, and multibeam sonar data representing the bathymetry. The survey area extends approximately 0.85 kilometers (0.5 miles) offshore, for an approximately 1.87 square kilometer surveyed area. Lidar data were collected September 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected September 22-23, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc)...
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This dataset is the survey area footprint for the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The survey footprint represents a LAS dataset of terrestrial light detection and ranging (lidar) of beach topography and multibeam sonar bathymetry to approximately 1 kilometer (0.62 miles) offshore, for an approximately 2.27 square kilometer surveyed area. The surveys were completed July 20 - July 23, 2020.
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Hydroacoustic estimates of fish density are used for fisheries management in central Lake Erie. Data are sometimes collected from multiple vessels, raising the question of comparability of data collected among vessels. Hydroacoustic data were collected along three cross-lake transects in central Lake Erie in July, 2014 from three different vessels using similar equipment. Several variables derived from hydroacoustic data and fish densities calculated from those variables were compared between the standard vessel used typically for hydroacoustic data collection and two other vessels used occasionally. The data used in those analyses are presented here.
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This dataset is a LAS dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore topography of Minnesota Point near the Superior Entry of Lake Superior, Duluth, Minnesota. The LAS data sets were used to create a digital elevation model (DEM) of the approximately 2.27 square kilometer surveyed area. Lidar data were collected using a boat mounted Velodyne unit. Multibeam sonar data were collected using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Single-beam sonar data were collected using a Ceescope sonar unit. All elevation data were collected September 15-17, 2021. Methodology similar to Wagner, D.M., Lund, J.W., and Sanks, K.M.,...
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This dataset represents post-nourishment digital elevation models (DEMs) of the beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, Minnesota. The Lidar DEM has a 1-meter (m; 3.28084 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography. The topobathy DEMs have a 10-meter (m; 32.8084 feet) or a 5-meter (m; 16.4042 feet) cell size, and were created from a combined LAS dataset of lidar data representing the beach topography, and single-beam and multibeam sonar data representing the bathymetry. The survey area extends approximately 1 kilometers (0.62 miles) offshore, for an...
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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 includes pesticides and pesticide transformation products in 15 tributaries of the Great Lakes. Pesticides were monitored using polar organic chemical integrative samplers (POCIS) to estimate concentrations in water following standard protocols (Alvarez, 2010) in June and July 2016. POCIS extracts were analyzed for 225 chemicals (USGS National Water Quality Laboratory schedule 5437, Sandstrom and others, 2016), for which 129 chemicals also have POCIS uptake rates, allowing calculations of time-weighted mean concentration over the approximately 30 day deployment (Alvarez and others, 2008). Collectively, there were 97 chemicals detected, and time-weighted mean concentrations could be calculated for 95...
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Observations and subtle shifts of vegetation communities in western Lake Erie have USGS researchers concerned about the potential for Grass Carp to alter these vegetation communities. Broad-scale surveys of vegetation using remote sensing and GIS mapping, coupled with on-the-ground samples in key locations will permit assessment of the effect Grass Carp may have already had on aquatic vegetation communities and establish baseline conditions for assessing future effects. Existing aerial imagery was used with object-based image analysis to detect and map aquatic vegetation in the western basin of Lake Erie.


map background search result map search result map Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013—Analytical Methods, Collection Methods, Environmental Data, and Quality Assurance New York Nowcast, Recreational Beaches of New York Hydrospatial Framework for the Laurentian Great Lakes Lake Erie, Western Basin Aquatic Vegetation data Publication: A blind spot in climate change Report: Climate Change Vulnerability Assessment for Species of Conservation Concern: Distributions and Demographics Across a Landscape Conservation Cooperative Publication: Measuring and managing resistance and resilience under climate change in northern Great Lake forests Lake Erie Ecological Investigations 1980-2000: Benthic Invertebrate Community Analysis Lake Erie Tributaries: Nutrient and streamflow trend results Lethality of bloom forming cyanobacteria on zebra and quagga mussel veligers collected from the Detroit River Hydrogeochemical Mixing data from Lake Michigan Tributaries 2011 Low-altitude visible and multispectral imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Ohio Surface Water 1 Inter-vessel comparison of hydroacoustic fish density in central Lake Erie, 2014 Data for multiple linear regression models for estimating Escherichia coli (E. coli) concentrations or the probability of exceeding the bathing-water standard at recreational sites in Ohio and Pennsylvania as part of the Great Lakes NowCast, 2019 Pesticides and pesticide transformation product data from passive samplers deployed in 15 Great Lakes tributaries, 2016 Minnesota Point: Survey area of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 Duluth Entry: 10-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 Duluth Entry: 5-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 LAS dataset of lidar, single-beam, and multibeam sonar data collected of Minnesota Point near the Superior Entry of Lake Superior, Duluth, MN, September 2021 Digital elevation models (DEMs) of beach topography and near-shore bathymetry of Minnesota Point, near the Superior Entry of Lake Superior, Duluth, MN, September 2021 Low-altitude visible and multispectral imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Ohio Surface Water 1 Lethality of bloom forming cyanobacteria on zebra and quagga mussel veligers collected from the Detroit River Duluth Entry: 10-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 Duluth Entry: 5-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 Minnesota Point: Survey area of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 LAS dataset of lidar, single-beam, and multibeam sonar data collected of Minnesota Point near the Superior Entry of Lake Superior, Duluth, MN, September 2021 Digital elevation models (DEMs) of beach topography and near-shore bathymetry of Minnesota Point, near the Superior Entry of Lake Superior, Duluth, MN, September 2021 Lake Erie, Western Basin Aquatic Vegetation data Inter-vessel comparison of hydroacoustic fish density in central Lake Erie, 2014 Hydrogeochemical Mixing data from Lake Michigan Tributaries 2011 Data for multiple linear regression models for estimating Escherichia coli (E. coli) concentrations or the probability of exceeding the bathing-water standard at recreational sites in Ohio and Pennsylvania as part of the Great Lakes NowCast, 2019 Lake Erie Ecological Investigations 1980-2000: Benthic Invertebrate Community Analysis Lake Erie Tributaries: Nutrient and streamflow trend results New York Nowcast, Recreational Beaches of New York Pesticides and pesticide transformation product data from passive samplers deployed in 15 Great Lakes tributaries, 2016 Publication: Measuring and managing resistance and resilience under climate change in northern Great Lake forests Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013—Analytical Methods, Collection Methods, Environmental Data, and Quality Assurance Hydrospatial Framework for the Laurentian Great Lakes Publication: A blind spot in climate change Report: Climate Change Vulnerability Assessment for Species of Conservation Concern: Distributions and Demographics Across a Landscape Conservation Cooperative