RI_540
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Fish Habitat Assessment Output: 15 of 16 Average Water Level (75.0m ASL) - Juvenile/Adult Habitat - Low Vegetation Association Species (Coolwater Guild) Habitat suitability was assessed for the Bay of Quinte Area of Concern, at a 3 m grid resolution, using the Habitat Ecosystem Assessment Tool (HEAT), temperature algorithms, vegetation models, and water level input. Habitat classifications were based on three variables: depth (elevation), vegetation, and substrate; and modified by temperature suitabilities. The final suitability maps were based on documented habitat and temperature associations for the fish in the area. Different life stages (spawning requirements, nursery habitat, adult habitat) were modeled for the years of 1972-2011. Suitability values were scaled from 0 (not suitable) to 1 (highly suitable) and converted to suitability classes of very low, low, medium, and high. The final maps for each guild – life stage combination are maximum suitability values from the 39-year period modelled.
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Fish Habitat Type Data for Ministry of Natural Resources and Forestry's Parry Sound District used for fisheries management.
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A spatial representation of the Map Blocks for Timber Licences after the elimination for that Map Block (if one exists) has been removed from the Map Block. Only active Map Blocks are included in this view
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Links the edge type codes used in the stream network layer with an English description used to categorize stream network features
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Crown Game Preserves were established to prohibit or regulate the hunting and trapping of wildlife in specific areas to restore local populations.
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Fisheries and Oceans Canada has conducted a cumulative human impact mapping analysis for Pacific Canada to support ongoing Marine Spatial Planning. Cumulative impact mapping (CIM) combines spatial information on human activities, habitats, and a matrix of vulnerability weights into an intuitive relative ‘cumulative impact score’ that shows where cumulative human impacts are greatest and least. To map cumulative impacts, a recently developed ecosystem vulnerability assessment for Pacific Canadian waters (Murray et al. 2022) was combined with spatial information on thirty-eight (38) different habitat types and forty-five (45) human activities following the methodology from Halpern et al.(2008) and Murray et al. (2015). The cumulative impact map is provided in a 1x1 km grid used for oceans management by Fisheries and Oceans Canada. For further information, please contact the data provider.
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Communication channel names.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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A Fisheries Sensitive Watershed (FSW) is a mapped area with specific management objectives intended to guide development activities which may adversely impact important fish values . FSWs within this set of data are currently in the review and consultation stage of the area designation process. As FSWs are designated they will be moved into the [Approved Fisheries Sensitive Watersheds](http://catalogue.data.gov.bc.ca/dataset/fisheries-sensitive-watersheds) dataset and thus often this dataset is empty.
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This dataset provides wall-to-wall maps of forest structure across Canada's 650 million hectare forested ecosystems for the year 2022, generated at a spatial resolution of 30 m. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Structure estimates include key attributes such as canopy height, canopy cover, and aboveground biomass, derived using a combination of airborne lidar and Landsat-based spectral composites. Structure models were trained using the - lidar-plot framework - (Wulder et al. 2012), which integrates co-located airborne lidar data and ground plot measurements with Landsat time-series composites (Hermosilla et al. 2016). A Nearest Neighbour imputation approach was applied to estimate structural attributes across the full extent of Canada's forested area. These nationally consistent products are intended to support strategic-level forest monitoring and assessment and are not designed for operational forest management. For further details on the methods, accuracy assessment, and source data, see Matasci et al. (2018). Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment, 216, 697-714. https://doi.org/10.1016/j.rse.2018.07.024 (Matasci et al. 2018)
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Lakeshore management zones for classified lakes in the Merritt TSA
Arctic SDI catalogue