Spatial distribution of the relative occurrence of northern wolffish in the annual DFO groundfish research surveys conducted by the Québec (1978-2008) and Gulf (1971-2008) regions. Catch and effort data were aggregated by 100 km² cells. The probability of catching an northern wolffish in a set and within a cell (relative occurrence) was calculated as the ratio of the number of sets in which a species was recorded and the total number of sets made. This method allows the mapping of catch and effort for numerous time series based on data from different programs in both the whole study area (research surveys and Sentinel Fisheries using bottom trawls and a random stratified design) or in specific areas within the Gulf.Source: Dutil, J.-D., S. Proulx, S. Hurtubise, and J. Gauthier 2011. Recent findings on the life history and catches of wolffish (Anarhichas sp.) in research surveys and in the Sentinel Fisheries and Observer Program for the Estuary and Gulf of St-Lawrence. DFO Can. Sci. Advis. Sec. Res. Doc. 2010/126: x + 71 pages.Associated publication:Dutil, J.-D., Proulx, S., Chouinard, P.-M., and Borcard, D. 2011. A hierarchical classification of the seabed based on physiographic and oceanographic features in the St. Lawrence. Can. Tech. Rep. Fish. Aquat. Sci. 2916: vii + 72 pages. http:/ / www.dfo-mpo.gc.ca/ Library/ 342703.pdf.

Layers that present various important parameters such as inventories, presence, sightings, distribution, relative occurrence or catch rates, critical habitat, breeding and feeding areas, potential spawning and haul-out sites for the different species with status under the Species at Risk Act (SARA).The act classifies those species as being either extirpated, endangered, threatened, or of special concern. Under SARA, Fisheries and Oceans Canada must produce recovery strategies and action plans for aquatic species listed as endangered or threatened. The act is part of Canada’s strategy to protect hundreds of wild plants and animal species from becoming extinct, and to help in their recovery.The different species represented by the layers are the following:1. American shad (Alosa sapidissima)2. Atlantic sturgeon (Acipenser oxyrinchus)3. Atlantic wolffish (Anarhichas lupus)4. Beluga whale (Delphinapterus leucas)5. Blue whale (Balaenoptera musculus)6. Copper redhorse (Moxostoma hubbsi)7. Eelgrass (Zostera marina)8. Grey seal (Halichoerus grypus)9. Harbor seal (Phoca vitulina)10. Humpback whale (Megaptera novaeangliae)11. Lake sturgeon (Acipenser fulvescens)12. Lumpfish (Cyclopterus lumpus)13. Northern wolffish (Anarhichas denticulatus)14. Rainbow smelt (Osmerus mordax)15. Sea pens (Pennatulacea)16. Seaweed17. Smooth skate (Malacoraja senta)18. Sponges19. Spotted wolffish (Anarhichas minor)20. Striped bass (Morone saxatilis)21. Thorny skate (Amblyraja radiata)22. Winter skate (Leucoraja ocellata)

In British Columbia, there are over 100 Livestock Districts, Bull Control Areas and Pound Districts established by regulation under the Livestock Act. Livestock Districts, with minor exceptions, are areas where livestock may run at large within the district boundaries. Bull Control Areas are areas within Livestock District, in which Bull Control Committees may make rules respecting the number, breed, breeding, quality and age of bulls allowed to run at large. Pound Districts are areas where keepers, peace officers and others may impound animals at large, and allow for the sale of unclaimed impounded animals and the reimbursement of the keeper. The regulations are published in the British Columbia Gazette Part II. The current Index of Current B.C. Regulations provides a complete list. Search Orders in Council from http://BCLaws.ca to view related Orders in Council including metes and bounds descriptions.

The raster maps depict a suite of forest attributes in 2001* and 2011 at 250 m by 250 m spatial resolution. The maps were produced using the k nearest neighbours method applied to MODIS imagery and trained from National Forest Inventory photo plot data. For detailed information about map production methods please refer to Beaudoin et al. (2018) "Tracking forest attributes across Canada between 2001 and 2011 using the k nearest neighbours mapping approach applied to MODIS imagery." Canadian Journal of Forest Research 48, 85-93. https://cfs.nrcan.gc.ca/publications?id=38979 The map datasets may be downloaded from https://nfi.nfis.org/downloads/nfi_knn2011.zip or https://open.canada.ca/data/en/dataset/ec9e2659-1c29-4ddb-87a2-6aced147a990 * Note: the forest composition (leading tree genus) map depicts forest attributes in 2001.How can this data be used?The resolution and accuracy of these map products are best suited for strategic-level forest reporting and informing policy and decision making at regional to national scales. As these maps also offer a coherent set of quantitative values for a large suite of forest attributes, they can be used as baseline information for modelling and in calculations such as merchantable forest volume or percentage of tree species. It is also possible to overlay these maps with other maps produced on the same pixel grid to make assessments of disturbance impacts, such as fire and harvests.

Canada's National Forest Inventory (NFI) sampling program is designed to support reporting on forests at the national scale. On the other hand, continuous maps of forest attributes are required to support strategic analyses of regional policy and management issues. We have therefore produced maps covering 4.03 × 106 km2 of inventoried forest area for the 2001 base year using standardised observations from the NFI photo plots (PP) as reference data. We used the k nearest neighbours (kNN) method with 26 geospatial data layers including MODIS spectral data and climatic and topographic variables to produce maps of 127 forest attributes at a 250 × 250 m resolution. The stand-level attributes include land cover, structure, and tree species relative abundance. In this article, we report only on total live aboveground tree biomass, with all other attributes covered in the supplementary data (http://nrcresearchpress.com/doi/suppl/10.1139/cjfr-2013-0401). In general, deviations in predicted pixel-level values from those in a PP validation set are greater in mountainous regions and in areas with either low biomass or sparse PP sampling. Predicted pixel-level values are overestimated at small observed values and underestimated at large ones. Accuracy measures are improved through the spatial aggregation of pixels to 1 km2 and beyond. Overall, these new products provide unique baseline information for strategic-level analyses of forests (https://nfi.nfis.org)Collection:- **[Canada's National Forest Inventory (NFI) 2006](https://open.canada.ca/data/en/dataset/e2fadaeb-3106-4111-9d1c-f9791d83fbf4)**

####Leading Group for the Cariboo Region (pinegroup or firgroup). #### 1. IDF - Fir Group: includes all forest polygons in NDT 4 (IDF and BG biogeoclimatic zones) that meet any of the following criteria: *a) Douglas-fir ( Fd or Fdi) leading or ponderosa pine leading; *b) Lodgepole pine leading, and Douglas-fir ( Fd or Fdi) or ponderosa pine greater than 15% in any inventory layer; *c) Trembling aspen leading, and Douglas-fir ( Fd or Fdi) or Ponderosa pine greater than 15% in any inventory layer, and spruce, red-cedar, cottonwood and birch less than 6% in any inventory layer; *d) No species information in inventory data (usually NSR stands), and inventory type group for pre-harvest stand or the current stand = 1, 2, 3, 4, 5, 6, 7, 8, 29, or 32 These inventory type groups correspond to the following species compositions F, FC, FCy, FH, FS, FPl, Fpy, FL, FDEcid, PlF and Py. If inventory type group=0 and pre-harvest inventory type is not available, classify the polygon as Pine Group. 2. IDF-Pl Group: includes all forest polygons in NDT 4 (IDF and BG biogeoclimatic zones) that do not meet the above definition for IDF-Fir Group.

The Yukon Territory is underlain by a great variety of rock types ranging in age from Early Proterozoic to Recent and representing diverse environments including epicratonic basins, subsiding shelves, foreland basins, island arcs and deep ocean basins. Episodes of compressional and extensional deformation, transcurrent faulting, metamorphism and plutonism further complicate the map pattern. This complex geological record has been described in terms of the interactions of several terranes (large parts of the earth's crust which preserve a common geological record) with each other and with the margin of ancestral North America.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

A building is a structure that has a roof and walls and stands more or less permanently in one place. Small buildings have only their location recorded. A 'building to scale' is a structure that has one dimension larger than 50 metres for the 1: 20,000 scale and larger than 30 metres for the 1: 10,000 scale. Their extents are recorded. This product requires the use of geographic information system (GIS) software.

Polygons denoting concentrations of sea pens, small and large gorgonian corals and sponges on the east coast of Canada have been identified through spatial analysis of research vessel survey by-catch data following an approach used by the Northwest Atlantic Fisheries Organization (NAFO) in the Regulatory Area (NRA) on Flemish Cap and southeast Grand Banks. Kernel density analysis was used to identify high concentrations and the area occupied by successive catch weight thresholds was used to identify aggregations. These analyses were performed for each of the five biogeographic zones of eastern Canada. The largest sea pen fields were found in the Laurentian Channel as it cuts through the Gulf of St. Lawrence, while large gorgonian coral forests were found in the Eastern Arctic and on the northern Labrador continental slope. Large ball-shaped Geodia spp. sponges were located along the continental slopes north of the Grand Banks, while on the Scotian Shelf a unique population of the large barrel-shaped sponge Vazella pourtalesi was identified. The latitude and longitude marking the positions of all tows which form these and other dense aggregations are provided along with the positions of all tows which captured black coral, a non-aggregating taxon which is long-lived and vulnerable to fishing pressures.These polygons identify large gorgonian coral fields from the broader distribution of large gorgonian corals in the region as sampled by Campelen trawl gear in the Eastern Arctic biogeographic zone. A 15 kg minimum threshold for the large gorgonian coral catch was identified as the weight that separated the large gorgonian field habitat from the broader distribution of large gorgonian corals with these research vessel tow data and gear type.

Polygons denoting concentrations of sea pens, small and large gorgonian corals and sponges on the east coast of Canada have been identified through spatial analysis of research vessel survey by-catch data following an approach used by the Northwest Atlantic Fisheries Organization (NAFO) in the Regulatory Area (NRA) on Flemish Cap and southeast Grand Banks. Kernel density analysis was used to identify high concentrations and the area occupied by successive catch weight thresholds was used to identify aggregations. These analyses were performed for each of the five biogeographic zones of eastern Canada. The largest sea pen fields were found in the Laurentian Channel as it cuts through the Gulf of St. Lawrence, while large gorgonian coral forests were found in the Eastern Arctic and on the northern Labrador continental slope. Large ball-shaped Geodia spp. sponges were located along the continental slopes north of the Grand Banks, while on the Scotian Shelf a unique population of the large barrel-shaped sponge Vazella pourtalesi was identified. The latitude and longitude marking the positions of all tows which form these and other dense aggregations are provided along with the positions of all tows which captured black coral, a non-aggregating taxon which is long-lived and vulnerable to fishing pressures.These polygons identify large gorgonian coral fields from the broader distribution of large gorgonian corals in the region as sampled by Campelen trawl gear in the Newfoundland - Labrador Shelves biogeographic zone. A 0.3 kg minimum threshold for the large gorgonian coral catch was identified as the weight that separated the large gorgonian field habitat from the broader distribution of large gorgonian corals with these research vessel tow data and gear type.