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Found 10 records similar to Lake Erie Canadian Baseline Coastal Habitat Survey
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.
Water quality and ecosystem health data used to conduct a cumulative effects assessment of Lake Erie, St. Clair River, Lake St. Clair and Detroit River nearshore waters in support of the Great Lakes Water Quality Agreement are included in this dataset. Data related to nearshore stressors is integrated into an overall assessment in a three-phased approach: 1) classification of the nearshore into Regional Units using physical processes and lake characteristics; 2) overall assessment of the state (cumulative stress) of each Regional Unit; and 3) integrate additional information related to nearshore areas of high ecological value. Assessment data is presented within a 15 metre depth zone along the coast. For purposes of determining stress on nearshore waters it is necessary to consider the zones of influence and zones of impact.
Habitat and ecosystem data used to conduct a baseline survey of coastal habitat in the Canadian Great Lakes in support of the Great Lakes Water Quality Agreement (Annex 7, Habitat and Species). The baseline habitat survey integrates various internal and external data sources that are collected or produced by various government and non-government organizations and integrated into this dataset. The geographic scope of the survey focuses on the coastal margin (from the shoreline to approximately 2 kilometers inland) of the Canadian Great Lakes and connecting channels. The scope of the survey includes metrics for coastal wetland habitat, coastal terrestrial habitat, tributary habitat and habitat protection and restoration.
Coastal wetlands are valued for their diversity of wildlife, habitats, and functions. The Canadian Wildlife Service (CWS) conducted vegetation and elevation surveys between 2009 and 2019, and bathymetric and light attenuation surveys between 2018 and 2019 in coastal wetlands across the Canadian shore of Lake Ontario, Lake Erie, Lake Huron, Lake Superior, and the head of the St. Lawrence River. These datasets were used, in part, to predict the spatial and temporal response of coastal wetland vegetation to climate change as part of the Great Lakes Protection Initiative (GLPI). The goals of this project were to provide insight into climate change impacts by assessing the vulnerability of Great Lakes coastal wetlands, identify adaptive measures to increase the resilience of coastal wetlands, assess wetland vegetation response to physical variables (e.g., Great Lakes water levels), and inform the adaptive management of water-level regulation on Lake Ontario.
The Great Lakes Sediment Database (also known as the National Water Research Institute (NWRI) Sediment Archive) is an archive of data on the sediments of the Great Lakes, their connecting channels, and the St. Lawrence River which was collected by NWRI and in cooperation with other agencies between 1960 and 1975. It is housed in Environment and Climate Change Canada's Canada Centre for Inland Waters in Burlington, Ontario. The data has been subdivided into two groups according to location and purpose:
1.Great Lakes Basin Sediment Data: physical and geochemical data for sediment samples and cores collected lakewide in lakes Ontario, Erie, St. Clair, Huron (including Georgian Bay), Michigan and Superior between 1960 and 1975 by R.L. Thomas, A.L.W.
Water quality and suspended sediment monitoring and surveillance data collected from the connecting channels of the Great Lakes to determine baseline water quality status, long term trends and spatial distributions, the effectiveness of management actions, determine compliance with sediment quality objectives and identify emerging issues are included in this dataset. The Great Lakes are joined together by river systems known collectively as connecting channels, including the St. Marys River, the St. Clair River (and Lake St. Clair), the Detroit River, the Niagara River, and the St. Lawrence River. Uniquely, the connecting channels originate from the outflow of one or more large, oligotrophic lakes rather than the accumulation of a network of tributaries.
This dataset contains the fish health metrics (length, weight, gonad size, etc.) for Shorthead redhorse (Moxostoma macrolepidotum) and Golden redhorse (Moxostoma erythrurum) collected from two site locations (Stag Island, and Lake Huron) within the St. Clair River Area of Concern for 2003. Supplemental Information
Funding for this study was provided in part by the Government of Canada’s Great Lakes Action Plan (GLAP) and in support to St. Clair River Area of Concern. In 1987 under the revised Great Lakes Water Quality Agreement, 43 areas of concern (AOC), 12 of which are located in Canada, were identified as having severely impaired beneficial uses and water quality.
The St. Clair was designated as one of the 43 Areas of Concern in accordance with Great Lakes Water Quality Agreement (GLWQA). Remedial Action Plan (RAP) is an ongoing collaborative effort implemented by federal, provincial, and local governments as well as industry and public partners. There are 3 key stages of the RAP: Stage 1 is a detailed description of the environmental problem; Stage 2 identifies remedial actions and options; Stage 3 is the final document providing evidence that the beneficial uses have been restored and the AOC can be “delisted”. The St. Clair River, a key shipping channel in the Great Lakes Seaway system, flows 64 km from Lake Huron to Lake St. Clair.
Water quality monitoring data collected in priority tributaries to provide nutrient concentration data to estimate nutrient loads to the waters of the Great Lakes. Data is collected to advance the science to understand and address the complex problem of recurrent toxic and nuisance algae in the Great Lakes. The majority of the data is focused on Lake Erie, the smallest, shallowest of the Great Lakes, and most susceptible to nearshore water quality issues. Water quality monitoring is conducted to establish current nutrient loadings from selected Canadian tributaries; to enhance the knowledge of the factors that affect tributary and nearshore water quality, ecosystem health, and algae growth; to establish binational lake ecosystem objectives, phosphorus objectives, and phosphorous load reduction targets, and to support the development of a binational nearshore assessment and management framework.
This dataset contains the concentrations of contaminants found in individual and pooled captured Yellow Perch (Perca flavescens) and Shorthead Redhorse (Moxostoma macrolepidotum) from 5 site locations (Stag Island, Lake Huron, Walpole Marsh, Chanel Ecarte, and Chenal Ecarte/Port Lambton) within the St. Clair River Area of Concern. Supplemental Information
Funding for this study was provided in part by the Government of Canada’s Great Lakes Action Plan (GLAP) and in support to St. Clair River Area of Concern. In 1987 under the revised Great Lakes Water Quality Agreement, 43 areas of concern (AOC), 12 of which are located in Canada, were identified as having severely impaired beneficial uses and water quality. As funded by the Great Lakes Action Plan, a Remedial Action Plan was formed for each area of concern bringing together experts from government, industry, municipalities and environmental non-government organizations to address these impacts.