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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...
This Sediment Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the sediments sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), sediment collections were a composite of at least five randomly selected samples collected from each site. Per an internal summary report, sediment samples were collected using a stainless steel Eckman dredge. Analytical methods and QA/QC were directed by the Patuxent Analytical Control Facility (PACF) of the US Fish and Wildlife Service. Per Dora Passino-Reader, the Geochemical & Environmental Research Group at Texas A&M University, College Station performed the analytical chemistry...
This U.S. Geological Survey (USGS) data release contains model scenario input and output files and nine hydrology and water-quality models developed using the Soil and Water Assessment Tool (SWAT). The models represent nine watersheds in eastern New York that drain to Lake Erie or the Niagara River and were created, calibrated, and validated for hydrology, sediment, and nutrients as baseline scenarios. Twenty-six additional scenarios were created to explore the effects of agricultural and urban best management practices, point source discharges, and green infrastructure on the water quality of tributaries to Lake Erie/Niagara River. Model documentation and scenario development are described in Merriman and others...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Allegany County,
Best-Management Practices,
Cattaraugus County,
Chautauqua County,
Erie County,
Water-borne polychlorinated biphenyls (PCBs) were sampled in three tributaries of the Niagara River Area of Concern (AOC) in 2018 and 2019 using semipermeable membrane devices (SPMDs). This data set is a compilation of data from two sampling efforts, focused on determining the presence and distribution of total and congener PCBs in these tributaries.
Data from 10-day sediment toxicity tests of bed sediments from the Niagara River area of concern and tributaries, Niagara and Erie County, New York. Specifically, the data was used to compare the survival and growth of two macroinvertebrate species in sediments from study sites and laboratory controls. Results are from 10-day sediment exposures of two test species, Chironomus dilutus and Hyalella azteca. Bed-sediments were collected from depositional areas using either a petite Ponar (0.03 square meter) dredge or a stainless steel sediment scoop. At each site, approximately five grabs or scoops were composited into a bucket, mixed, and a 4-liter (L) subsample was stored in a polyethylene container. Sediment toxicity...
Categories: Data;
Types: Citation;
Tags: Erie County,
Niagara County,
Niagara River,
USGS Science Data Catalog (SDC),
Water Quality,
The Lake Erie Ecological Investigations (LEEI) dataset, housed at the Great Lakes Science Center (GLSC) was developed during a reevaluation of Lake Erie Areas of Concern (AOCs) from 1998-2000. These AOCs were recognized as such by the International Joint Commission (IJC) of the United States and Canada due to their severe water pollution problems. The dataset includes data from both the 1998-2000 reevaluation as well as data from other historical evaluations from the 1980’s to mid-1990’s for comparison where available. Data Description: Rivers and harbors of the Great Lakes have been impacted for decades by heavy industrialization, densely populated areas, and agriculture resulting in contamination, eutrophication,...
Background: The USGS propose a collaborative investigation with the NYSDEC and NOAA to evaluate the current condition of benthic macroinvertebrate communities and toxicity of bed sediments in the Niagara River Area of Concern (AOC). Using a probabilistic study design, sediment-toxicity data compiled by the USGS, invertebrate community data collected by NYSDEC, and sediment-chemistry data collected by NOAA will be assimilated using a Sediment Quality Triad approach (Chapman et al., 1992; USEPA, 1992) to provide a sediment-quality baseline needed to gauge changes expected to follow remediation of contaminated sediments in parts of the AOC. These data will also be used directly to confirm that the macroinvertebrate...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Completed,
Cooperative Water Program,
Ecological Assessment of Human and Natural Impacts,
Ecological Assessment of Human and Natural Impacts,
Ecological Assessment of Human and Natural Impacts,
This Fish Community Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the fish communities sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), fish were sampled for identification and measurement of length and weight. Identification of fish were done by the same biologists for both the 1998-2000 data and the 1986-87 historical data (Smith et al. 1994). Any fish difficult to identify were preserved in buffered formalin for later identification. If large numbers of a particular species were collected the first thirty fish were measured and weighed; remaining fish were individually measured and group weighed. All...
The following data release contains coordinates for suspected historical spawning locations of lake whitefish (Coregonus clupeaformis) and cisco (Coregonus artedi) across the Lake Ontario basin, including the Niagara River and St. Lawrence River. These data were gathered from published and unpublished sources cited in the Atlas of the Spawning and Nursery Areas of Great Lakes Fishes (Goodyear et al. 1982) and other sources as described. We define "spawning locations" as areas having eggs or spawning fish present. When available the data also contain substrate and depth information. Pseudo-absence data used for comparison purposes are also provided in this data release. Data points were summarized using ArcGIS 10.5
Categories: Data;
Tags: Coregonus artedi,
Coregonus clupeaformis,
Ecology,
Fish Spawning and Larval Aggregation,
Geography,
A data release containing information on macroinvertebrate communities and sediment toxicity in the Niagara River and adjacent areas collected during a sampling effort conducted between 2019 and 2020, and a sampling effort conducted in 2022. During the first sampling effort, bed sediments were collected at 60 sites in the Niagara River, 5 sites on lower Smoke Creek, and 6 sites on Hoyt Lake for use in sediment toxicity testing and determination of grain size distribution and total organic carbon concentration. Additionally, macroinvertebrate samples were collected from the 60 sites on the Niagara River. During the second sampling effort, bed sediments were collected at 10 sites on lower Smoke Creek (5 of which were...
Categories: Data,
Data Release - Revised;
Tags: Aquatic Community Health,
Ecosystem Health,
Erie County,
New York,
Niagara River,
The Lake Erie Ecological Investigations (LEEI) dataset contains data collected on contaminants in sediments, benthic invertebrate populations, fish populations and abnormalities, and fish health of primarily brown bullhead in Areas of Concerns (AOCs) on Lake Erie. A subset of the larger dataset, this section specifically handles reference tables, used in database design in order to standardize often used values and to make the data file efficient, for the main tables of the LEEI dataset. The reference tables include: site.csv, site_date.csv, and species.csv.
This Fish Health Evaluation dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the health of fish—primarily brown bullhead—sampled at Areas of Concern (AOCs) on Lake Erie, as measured by anomalies, tumors, biomarkers, and other heath indicators. The focus of the data in the Fish Health dataset is from the 1998-2000 study, which reevaluated fish health in comparison to data from various historical studies also in the dataset. All of the data from the 1998-2000 evaluation and the data used for comparison from historical studies are in the main FISH_HEALTH table; additional historical data, which presumably fell out of scope for comparison, is also in the OLDFISHDATA_NOTERIE...
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