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We have found 2,488 datasets for the keyword " protocole sur les grands lacs". You can continue exploring the search results in the list below.
Datasets: 106,578
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2,488 Datasets, Page 1 of 249
Foreshore Plant Habitat Zones Okanagan Region
Foreshore Plant Habitat Zones for Okanagan region lakes. The purpose of this data is to support the Large Lakes Protocol, an interagency document that addresses the processes that need to be followed during foreshore development. The required application process varies depending on habitat value zone
Mussel Habitat Zones Okanagan Region
The purpose of this data is to support the Large Lakes Protocol, an interagency document that addresses the processes that need to be followed during foreshore development. The required application process varies depending on habitat value zone
Kokanee Habitat Zones Okanagan Region
Kokanee habitat zones for Okanagan region lakes. The purpose of this data is to support the Large Lakes Protocol, an interagency document that addresses the processes that need to be followed during foreshore development. The required application process varies depending on habitat value zone. The data was sourced from Kokanee Shore spawner inventory data
Great Lakes Nearshore Waters Assessment
Water quality and ecosystem health data used to conduct a cumulative effects assessment of Canadian Great Lakes nearshore waters in support of the Great Lakes Water Quality Agreement are included in this dataset. The data was collected by various government and non-government agencies and organizations and integrated into this dataset to allow the assessment to be conducted. By conducting a regular, systematic assessment of cumulative effects in the nearshore waters of the Great Lakes Environment and Climate Change Canada (ECCC) is able to identify areas of high quality and areas under stress. Knowledge of ecological thresholds, other Great Lakes assessments, stressor information, indicators and local and traditional ecological knowledge will be used to aid in: 1) the identification and mapping of high quality nearshore areas and areas that are or may become subject to high stress and; 2) the determination of factors and cumulative effects that are causing stress or threats. Cumulative effects impacting the nearshore and future threats to areas of high ecological value will be better understood and the knowledge shared will assist in priority setting for science and management at a meaningful and practical spatial scale within each Great Lake and connecting channel.
Territory of the Agreement on Sustainable Water Resources in the Great Lakes and St. Lawrence River Basin in Quebec
This theme represents the limit of the Quebec territory of the Agreement on Sustainable Water Resources of the Great Lakes and St. Lawrence River Basin. It was generated from the grouping of watersheds at a cartographic scale of 1:20,000. For more information: http://www.environnement.gouv.qc.ca/eau/grandslacs/2005/index.htm**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Great Lakes Aquatic Invasive Species Surveillance Database
The Aquatic Invasive Species Surveillance Database is a compilation of fish community and habitat data from DFO’s Aquatic Invasive Species and Invasive Carp Program early detection surveillance efforts in Canadian waters of the Great Lakes basin. Data includes: sampling site location, date, fish species and counts, and associated habitat information. Annual project-specific details including purpose/objectives and study methodology are often reported in the DFO Canadian manuscript report of fisheries and aquatic sciences series.
Regional Deterministic Wave Prediction System - National
The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.
Regional Deterministic Wave Prediction System - Lake Superior
The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.
Regional Deterministic Wave Prediction System - Lake Erie
The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.
Great Lakes Coastal Wetland Monitoring Program
The Great Lakes Coastal Wetland Monitoring Program (GLCWMP) involves the monitoring of Great Lakes coastal wetland biota and habitat to provide information on coastal wetland condition for use in conservation and management decision-making using fish, birds, anurans, vegetation, aquatic macroinvertebrates and water quality. The main outputs from this program are a thorough assessment of the condition of over 1000 Great Lakes coastal wetlands (that are larger than four hectares in size and have a surface water connection to the lake) and the implementation of a standardized long-term monitoring program for coastal wetlands across the Great Lakes basin. This program is funded under the Great Lakes Restoration Initiative by the U.S. Environmental Protection Agency, Great Lakes National Program Office (GLNPO). The Canadian Wildlife Service (CWS) of Environment and Climate Change Canada has been involved in the program since it began in 2011, and over that time has conducted fish, vegetation, aquatic macroinvertebrates and water quality surveys at 80 coastal wetland sites (as of 2025) primarily on the Canadian shore of Lake Ontario. Program data are available by request at: www.greatlakeswetlands.org. The data included here are a list of the 80 sites surveyed by CWS, spatial coordinates for each site, and the years that sites were surveyed.
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