The Canadian Food Inspection Agency (CFIA) established a regulated area as part of its efforts to eradicate the Asian longhorned beetle (ALHB). With the regulation of this area, there are restrictions on the movement of nursery stock, trees, logs, lumber, wood, wood chips and bark chips from certain deciduous trees identified as hosts of the ALHB and firewood of all species. These restrictions are necessary to prevent the spread of the ALHB. This protects Canada's environment and forest resources, and also helps keep international markets open to the forest industry and nurseries in non-regulated parts of Ontario and in the rest of Canada.

Caribou Movement Corridors within the Clearwater Forest District - Lines

Layer that includes the known information on the atlantic sturgeon breeding, feeding and concentration areas in the St. Lawrence River and Estuary according to a literature review of documents produced between 1993 and 2003.Additional InformationAtlantic sturgeon's breeding, feeding and concentration areas were produced according to a literature review of the following documents:Communication personnelle par Hatin. D. 2003.Gagnon, M., Y. Ménard et J.-F. La Rue. 1993. Caractérisation et évaluation des habitats du poisson dans la zone de transition saline du Saint-Laurent. Rapp. tech. can. sci. halieut. aquat. 1920: viii + 104 p.Hatin. D., F. Caron et R. Fortin. 1999. Rapport d'opération : Déplacement et caractérisation du stock reproducteur d'esturgeon noir (Acipenser oxyrinchus) dans l'estuaire du fleuve Saint-Laurent. Faune et Parcs Québec, Direction de la faune et des habitats. 91 p.Hatin, D. et F. Caron. 2002. Déplacement et caractéristiques des esturgeons noirs (Acipencer oxyrinchus) adultes dans l'estuaire du fleuve Saint-Laurent en 1998 et 1999. Société de la Faune et des Parcs du Québec, Direction de la recherche sur la faune. 151 p.Naturam Environnement. 1995. Les possibilités de fraie de l'esturgeon noir dans l'estuaire de la rivière Manicouagan. Rapport présenté au Comité ZIP et à la Corporation d'amélioration et de protection de l'environnement (CAPE). Dossier 95-869. 75 p. Therrien, J. 1998. Rapport sur la situation de l'esturgeon noir (Acipenser oxyrinchus) au Québec. Ministère de l'Environnement et de la Faune, Direction de la faune et des habitats, Service de la faune aquatique. 45 p. Société de la Faune et des Parcs du Québec. 2000. Atlas des habitats critiques connus ou d'intérêt particulier pour les poissons du fleuve Saint-Laurent entre le port de Montréal et l'Île aux Coudres. Direction du développement de la faune.Trencia, G. Communication personnelle.

Surfaces designed for travel purposes for motorists, cyclists, pedestrians or others. Delimitation of surfaces by type of use.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The blue whale (Balaenopterus musculus) is a wide-ranging cetacean that can be found in all oceans, inhabiting coastal and oceanic habitats. In the North Atlantic, little is known about blue whale distribution and genetic structure, and if whether animals found in Icelandic waters, the Azores, or Northwest Africa are part of the same population as those from the Northwest Atlantic. In the Northwest Atlantic, seasonal movements of blue whales and habitat use, including the location of breeding and wintering areas, are poorly understood.The behaviour of remotely-monitored animals can be inferred from a time series of location data. This is because animals tend to demonstrate stochasticity in their movement paths as a result of spatial variation in environmental characteristics, such as topography or prey density (Curio 1976; Gardner et al. 1989; Turchin 1991; Wiens et al. 1993). Predators are expected to decrease travel speed and/or increase turning frequency and turning angle when a suitable resource, e.g., food patch, is encountered (Turchin 1991), otherwise known as area-restricted search (ARS). In contrast, animals in transit or travelling tend to move at faster and more regular speeds, with infrequent and smaller turning angles (Kareiva and Odell 1987; Turchin 1998).Based on satellite telemetry to track the seasonal movements of 24 blue whales from eastern Canada in 2002 and from 2010 to 2015, it was possible to estimate trajectories and locations where ARS behaviour of blue whales was inferred at a 4h time interval.To assess blue whale movements and behavior, a Bayesian switching statespace model (SSSM) was applied to Argos-derived telemetry data (Jonsen et al. 2005; Jonsen et al. 2013). An SSSM essentially estimates animal location at fixed time intervals, movement parameters and behavioral patterns.Two important sources of uncertainty can be measured separately: estimation error resulting from inaccurate observations (Argos location error) and process variability linked to the stochasticity of the movement process (behavior mode estimation) (Jonsen et al. 2003; Patterson et al. 2008).The points visible on land are the result of errors in the Argos geographic position calculation. They have been deliberately left unchanged to assess the performance of the model, which was able to clean up some positions, but not all.Lesage, V., Gavrilchuk, K., Andrews, R.D., and Sears, R. 2016. Wintering areas, fall movements and foraging sites of blue whales satellite-tracked in the Western North Atlantic. DFO Can. Sci. Advis. Sec. Res. Doc. 2016/078. v + 38 p.

The St. Anns Bank Marine Protected Area was established in June 2017. Data describing the spatial-temporal patterns and drivers of species movement is essential for evaluating species composition and to gauge the protective capacity of the MPA. Since 2015, an acoustic telemetry receiver array has been deployed and re-deployed annually in St. Anns Bank Marine Protected Area. Each receiver detects tagged fish that swim past and records hourly bottom temperature. Here we provide the bottom temperature data recorded on 46 receivers. Note that in 2021 the array design (mooring positions) changed. Please visit the Ocean Tracking Network data portal for more details (https://members.oceantrack.org/project?ccode=SABMPA).Cite this data as: Pettitt-Wade, H., Jeffery, N.W., Stanley, R.E. Data of: Bottom temperature data from St. Anns Bank MPA acoustic telemetry receivers deployed 2015 to 2022Published: January 2024. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S.https://open.canada.ca/data/en/dataset/910b8e22-2fd1-4ba1-8db6-d16763c7a625

Priority for snow removal on the road network according to three service levels (1, 2 and 3) or under provincial jurisdiction (MTQ) .attributs:ID - Unique IdentifierPriority - Service Level or Provincial Jurisdiction (MTQ)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This dataset contains points showing the locations of the Manitoba Infrastructure's (MI) approved, new, and continuing capital projects for the year 2021/2022. Examples of MI's capital projects are asphalt surface treatment, grading, bituminous rehabilitation, concrete reconstruction, culvert jacking, intersection improvement, structures improvement, traffic signal improvements, and traffic safety improvements.This dataset contains points showing the locations of the capital projects such as asphalt surface treatment, grading, bituminous rehabilitation, concrete reconstruction, culvert jacking, intersection improvement, structures improvement, traffic signal improvements, and traffic safety improvements. This dataset was created by digitizing high-resolution imagery of Manitoba road network, bridge sites, and culvert locations. The details of the capital projects are available as attributes of the dataset. Fields included ( Alias (Field Name): Field description.) ObjectID (OBJECTID): Sequential unique whole numbers that are automatically generated Project # (Project__):  A unique ID assigned to a project by MI Capital Project Team. Hwy (Hwy): The highway number where the project is located.  Location Description (Location_Description): A detailed description of the project location. Project Distance in km (km): The physical length of the project Project Type (Project_Type): A particular category assigned to the project based on the nature of work. Total Project Status (Total_Project_Status): Current total status of the project (e.g. new, continue, etc.) Construction Project Status (Construction_Project_Status): Current phase of project (e.g. construction phase, engineering design phase, etc.) Anticipated Construction Start Date (Anticipated_Construction_Start_): The expected construction start date for the project. Anticipated Construction Complete Date (Anticipated_Construction_Comple): The expected construction completion date for the project. Municipality Name (MUNI_NAME): The name of the municipality where the project is located. Department Program (Department_Program): The name of the MI department responsible for the project. This dataset is used in Manitoba Infrastructure Projects an interactive map that shows Manitoba infrastructure's new, approved, and continuing capital project locations.

This product contains 23,887 digitally restored 1971 census enumeration area (EA) boundaries for the 33 census metropolitan areas (CMA) defined by the 2011 census. EAs are the smallest geographical unit for the release of 1971 census statistics. These EA boundaries can be aggregated to the census agglomeration (CA) or the CMA level.The restored EA boundaries also include 1971 population and dwelling statistics. The areas covered by the restored EA polygons account for 61.8% Canada’s total population in 1971. The purpose of the data set is to provide a historical geography in a digital format. It is intended to be used for reference, mapping and for spatial and time series analyses.These boundaries were produced by Statistics Canada, Environment, Energy and Transportation Statistic Division in 2017. The restored 1971 EA boundaries are provided as a single spatial layer. They are also available in Statistics Canada, 2017, “Restoration of the 1971 enumeration area polygons for Canada's largest cities,” Environmental Statistics: Boundary Files, Catalogue no. 16-510-X.

The Social Vulnerability component of the National Human Settlement Layer (NHSL) includes information about broad spatial patterns of social vulnerability at the neighbourhood scale, and indicators about the capacities for a community to withstand and recover from disaster events based on intrinsic characteristics of housing, family structure, individual autonomy and financial agency.Information in the model provides a means of comparing relative levels of social vulnerability from one region to another across Canada and helps to identify specific dimensions within a community that contributes to their relative levels of social vulnerability. This information is not intended for site-specific study, but instead to understand broad patterns of social characteristics and vulnerability across multiple census dissemination areas.