Smith, S.B., Passino-Reader, D.R., Baumann, P.C., Nelson, S.R., and Hickey, J.T., 2018, Lake Erie Ecological Investigations 1980-2000: U.S. Geological Survey data release, https://doi.org/10.5066/P947B9FI.
Summary
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, and physical degradation [...]
Summary
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, and physical degradation of these ecological areas. Focusing on designated AOCs, such as the Detroit, Cuyahoga, and Black Rivers in Michigan and Ohio, USGS scientists and collaborators gathered data in these evaluations to provide evidence of effects on aquatic biota.
Beginning in the 1980’s, researchers set out to find cause-effect linkages between observed external and internal abnormalities in fish and contaminants in designated AOCs. The suspected cause of these abnormalities was sediment contamination from organic chemicals and pesticides discharged by industries along the Lake Erie shore and its tributaries. Data from the 1980’s were mostly focused on three Ohio sites: two designated AOC sites, the Cuyahoga River (Cleveland, OH) and the Black River (Lorain, OH); and one reference site, the Huron River (Huron, OH), as studied by Stephen B. Smith et al. in 1986-87 (Smith et al. 1994). Sediments, benthic invertebrate, and fish related data were collected from all three sites. Sediments were tested for concentrations of heavy metals, pesticides, and polyaromatic hydrocarbons (PAHs), as well as particle size and moisture. Population and diversity estimates were calculated for fish, insects, and other bottom dwelling invertebrates to address the hypothesis that chemicals affect the health of aquatic biota living at these sites. Brown bullhead fish were evaluated for growth estimate and rates of liver tumors and other abnormalities.
In 1998-2000, the LEEI initiated a reevaluation of the historic Lake Erie collections, but on a much larger scale—at nine AOC sites and two reference sites—in order to evaluate changes in the water quality. The sites included the Ashtabula River, OH; Black River, OH upstream; Buffalo River, NY; Cleveland Harbor, OH; Cuyahoga River, OH upstream; Detroit River, MI; Huron River, OH (reference); Niagara River, NY; Old Woman Creek, OH (reference); Ottawa River, OH; and Presque Isle Bay, PA. This dataset again includes sediment, benthic invertebrate, and fish related data. Sediments were collected for organochlorine (OCs), PAHs, total organic carbon (TOC), inorganic trace elements, particle size, and moisture analysis. Fish and invertebrate communities were evaluated for relative abundance and diversity. Brown bullhead were collected for histopathological evaluation and reproductive biomarker alterations possibly caused by exposure to endocrine-disrupting chemicals such as pesticides and polychlorinated biphenyls (PCBs). In-field external and internal health examinations of primarily brown bullhead were conducted and samples were gathered when needed for further laboratory analysis.
Data Structure:
For the purposes of delivery, the dataset has been divided into four conceptual groups according to what was evaluated by LEEI: Fish Community Analysis, Fish Health Evaluation of primarily brown bullhead, Benthic Invertebrate Community Analysis, and Sediment Analysis. Additionally, there is a Reference Tables group, with reference tables that apply to multiple conceptual groups. Each conceptual subgroup focuses on the data from the 1998-2000 reevaluation, and also contains data from earlier historical studies for comparison. The historical data for the Fish Community Analysis, Invertebrate Community Analysis, and Sediments subgroups, are from the study by Stephen B. Smith, Marc A. Blouin, and Michael J. Mac (Smith et al. 1994) on the fish populations, benthic invertebrates, and sediments in the Cuyahoga, Black, and Huron Rivers in Ohio. The historical data for the Fish Health subgroup includes data from the study by Stephen B. Smith et al. as well as data from other studies; these historical studies are described in more detail in the supplemental information section of this metadata and in Attachment 1 of the attached Quality Assurance Project Plan (QAPP).
Data Quality:
This data release includes all pertinent data from the dataset, but not all data tables from the Oracle database at GLSC were included. Some data tables were not released as they are believed, by the metadata creator, to contain duplicate information to what is included in this release. In some cases, tables containing data from historical studies were not released as no supporting documentation exists at GLSC to understand and document what data are in these tables. Original data tables remain saved unchanged in Oracle at GLSC; however, certain changes were made to the csv files extracted for release for ease of use and understanding of the data upon publishing (see Process Steps for more details). As this data set primarily contains data from the 1998-2000 revaluation of Lake Erie AOCs, but also contains data from historical studies, users of this data release should be aware that different studies had different standards of data collection and quality checking. The metadata creator has noted where possible fields and codes that may have changed for different studies.
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leei_metadata.xml Original FGDC Metadata
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164.39 KB
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QAPP.pdf
123.86 MB
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Smith_1998_SOPsFishSampling.pdf
33.43 MB
application/pdf
Purpose
Within the roughly 10 years between the historic collections and the 1998-2000 reevaluation of AOCs on Lake Erie, significant changes occurred at several harbors, tributaries, and AOCs, including the dredging of contaminated sediments, the diversion of industrial effluents, shoreline cleanup, the invasion of non-indigenous species, and the natural process of sedimentation. While several agencies have conducted investigations to identify biological resource problems and associated contaminated sediments, only a few studies have identified changes in the contaminant levels or impacts to the fish populations. This resulted in the need for the 1998-2000 data to reevaluate the "health” of the Lake Erie fisheries following the clean-up efforts and the invasion of the exotic zebra mussel, which may have altered the contaminant cycling in the lakes ecosystem. The 1998-2000 data was used in comparison with the 1980’s to mid-1990’s data, where available, to aid in ascertaining if remedial activities and contaminant reductions had been successful. Moving forward, this dataset establishes a foundational data source, which in comparison with future data collections, can be used to continue to monitor and determine long-term changes and trends to the Lake Erie tributaries, particularly changes related to reduced-contaminant input. In addition, the techniques established in this investigation for a reevaluation can be used by researchers and managers for long-term monitoring of the Lake Erie aquatic ecosystem.
