This dataset is provided by the Ministry of Affordability and Utilities, Electricity Sustainability and Innovation Branch, and identifies the high-quality agricultural lands, buffer zones, and visual impact assessment zones in Alberta designated under the Electric Energy Land Use and Visual Assessment Regulation (EELUVAR) made under the Alberta Utilities Commission Act. These areas apply to applications for the construction or operation of power plants under Alberta Utilities Commission Rule 007, unless exempted under the regulation. Restrictions on development of high-quality agricultural land are limited to privately owned land as per the regulation. This data product includes the following datasets: Land Suitability Rating System (LSRS) Class 2 and Class 3H Lands, Visual Impact Assessment Zones, and Buffer Zones. Visual Impact Assessment Zones and Buffer Zones contain both private and public lands.

This polygon dataset identifies the habitat suitability rating for Flammulated Owl (FLOW) within the Cariboo Natural Resource Region. The habitat suitability rating is based on Biogeoclimatic Ecosystem Classification (BEC), forest age class, crown closure, tree species, harvest activity, silviculture activity, slope and aspect.

CaLDAS-NSRPS was installed as an experimental system within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC.

TA_SURVEYED_ROW_PARCELS_SVW contains the spatial representation (polygon) of all parcels of land surveyed for statutory access or Right-of-Way purposes, with active surveys, that are or have been within the purview of the B.C. Crown Land Management program. The view was created to provide a simplified view of this data from the survey parcel information in the Tantalis operational system

Ecosection boundaries with percent protected, number of overlapping protected areas and other attributes added as a result of geoprocessing in the Protected Area System Overview (PASO) application. Protected area and park representation by ecosection provides a landscape context for natural resource planning processes such as; management plans, land use zoning, environmental risk assessment, landscape analysis, habitat supply, and management of high priority species. Ecosections are distinguished from each other by enduring characteristics such as minor physiographic and macroclimatic or oceanographic variations. For more information on ecosections and the Ecoregion Classification System see: http://www.env.gov.bc.ca/ecology/ecoregions/index.html. For important warnings about using this data for spatial analysis see the Data Quality section of the metadata

Salmon Suitability Rating polygons are areas in the British Columbia coastal waters where a "rating" has been assigned for how suitable or appropriate the area is for salmon aquaculture. In addition to ratings for 'Good', 'Medium', 'Poor' and 'Not Advisable', some areas are also flagged as being suitable for Deep Sea Cages. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data.

This data depicts site suitability for the establishment of area-based Short Rotation Woody Crops (SRWC) of willow on lands eligible (i.e. non-forested) for afforestation across Canada.Determining the feasibility of a large-scale afforestation program is one approach being investigated by the Government of Canada to increase Canada's potential to sequester carbon from the atmosphere and/or produce bioproducts and bioenergy. Large-scale afforestation, however, requires knowledge of where it is suitable to establish and grow trees. Spatial models based on Boolean logic and/or statistical models within a geographic information system may be used for this purpose, but empirical environmental data are often lacking, and the association of these data to land suitability is most often a subjective process. As a solution to this problem, a fuzzy-logic modeling approach to assess site suitability for afforestation of hybrid poplar (Populus spp.) and willow (Salix spp.) in Canada was developed. Expert knowledge regarding the selection and magnitudes of environmental variables were integrated into fuzzy rule sets from which estimates of site suitability were generated and spatially presented. The environmental variables selected included growing season precipitation, climate moisture index, growing degree days, the Canada Land Inventory capability for agriculture and elevation. Site suitability is generally defined as the fitness of a given type of land for a particular use. For this assessment, site suitability was defined as the fitness of edaphic, climatic and topographic conditions to establish and grow SRWC species at rates 8 times those of native species. Suitability index values range from 1-100, with higher values corresponding to higher suitability. Approximately 246,000 km2, or 38% of the eligible land base within Canada was found to be suitable for afforestation using Short Rotation Woody Crops (SRWC) of hybrid poplar and/or willow.

Fish Habitat Assessment Output: 14 of 16Average Water Level (75.0m ASL) - Juvenile/Adult Habitat - Low Vegetation Association Species (Warmwater 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.

Fish Habitat Assessment Output: 5 of 16High Water Level (75.4m ASL) - Juvenile/Adult Habitat - High Vegetation Association Species (All Thermal Guilds)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.

Fish Habitat Assessment Output: 12 of 16Average Water Level (75.0m ASL) - Nursery Habitat - Low Vegetation Association Species (All Temperature Windows)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.