Distribution of clam beds in coastal Beds in British Columbia showing relative abundance (RA) and aboriginal, biological, commercial and recreational relative importance (RI) and overall RI. RI is based on project region and not on the province as a whole. and productivity. Other attributes include season dates, productivity and species. 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 layer represents the seasonal distribution of the St. Lawrence Estuary beluga whale population (Delphinapterus leucas). Three groups are represented: females with calf, adult males and mixed sectors. Herd distribution was defined using Fisheries and Oceans Canada (DFO) published data about beluga whales (see references).Herd distribution areas are only valid during the summer, and the uses of these areas by the herds are unknown.Data source :Michaud, R. 1993. Distribution estivale du béluga du St-Laurent; synthèse 1986-1992. Can. Tech. Rep. Fish. Aquat. Sci. 1906: vi + 28 p.

The United States population of California Sea Lions (Zalophus californianus) range from southeast Alaska to the Pacific coast of central Mexico. While this population does not breed in Canada, some sub-adult and adult males migrate northwards to British Columbia (BC) during the non-breeding season with an arrival in August–October and a departure in April–May. The population in coastal BC was assessed in 1985 and again in 2023 from dedicated over-winter aerial surveys. The most recent assessment used counts from 2020–2021surveys that were restricted to southern BC as few animals have been documented further north. Additional observations of California Sea Lions were collected while surveying sites for Steller Sea Lions. These opportunistic counts increased from approximately 1,000 animals in the mid-2000s to several thousand individuals in more recent years. Historically occupied sea lion rookeries and haul-out sites were surveyed with nearby areas monitored for potential shifts in distribution. This dataset contains counts that have been collected from sightings of individuals from 1971 through 2021and replaces a previous dataset limited to the 2016/2017 survey season.

Trails designed for hiking.attribut:ID - Unique identifier**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

To identify areas of high residency, fine-scale tracking data from individual animals and coarser, short-term movement patterns of herds were analyzed. Individual radio-tracking was assessed from 2001 to 2005 and herd visual tracking was assessed from 1989 to 2008. Data was collected by two research teams: GREMM (Groupe de recherche et d’éducation sur les mammifères marins) and Fisheries and Océans Canada (DFO). Areas of high residency were determined using net displacement speed of herds and they were defined as adjacent cells where 50% of the herds travelled at or below a threshold speed.Areas of high residency do not represent the general distribution of the beluga whale and no association between these areas and specific biological functions could be established. The exact delimitation of these areas can change according to the definition criteria used in the analysis. Therefore, the marginal cells are not necessarily indicative of lower habitat quality.Data source:Lefebvre, S., Michaud, R., Lesage, V. and Berteaux, D. (2012). Identifying high residency areas of the threatened St. Lawrence beluga whale from fine-scale movements of individuals and coarse-scale movements of herds. Mar. Ecol. Prog. Ser. 450: 243–257.

Sectoral division of leisure districts.**Collection context** Historical breakdown provided by the recreation department.**Collection method** Computer-aided mapping.**Attributes*** `ID_SEC_LOISIR` (`integer`): Identifier* `SECTOR_NUM` (`varchar`): Sector number* `SECTOR_NAME` (`varchar`): Sector name* `SOURCE` (`varchar`): Source* `DATE_CREATION` (`smalldatetime`): Created on* `DATE_MODIFICATION` (`smalldatetime`): Modified on* `USER_MODIFICATION` (`varchar`): Modified by* `NEIGHBORHOOD` (`varchar`): NeighborhoodFor more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Modeled data showing the likely distribution of humpback whales. 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.

The fire regime describes the patterns of fire seasonality, frequency, size, spatial continuity, intensity, type (e.g., crown or surface fire) and severity in a particular area or ecosystem.The number of large fires refers to the annual number of fires greater than 200 hectares (ha) that occur per units of 100,000 ha. It was calculated per Homogeneous Fire Regime (HFR) zones. These HFR zones represent areas where the fire regime is similar over a broad spatial scale (Boulanger et al. 2014). Such zonation is useful in identifying areas with unusual fire regimes that would have been overlooked if fires had been aggregated according to administrative and/or ecological classifications.Fire data comes from the Canadian National Fire Database covering 1959–1999 (for HFR zones building) and 1959-1995 (for model building). Multivariate Adaptive Regression Splines (MARS) modeling was used to relate monthly fire regime attributes with monthly climatic/fire-weather in each HFR zone. Future climatic data were simulated using the Canadian Earth System Model version 2 (CanESM2) and downscaled at a 10 Km resolution using ANUSPLIN for two different Representative Concentration Pathways (RCP). RCPs are different greenhouse gas concentration trajectories adopted by the Intergovernmental Panel on Climate Change (IPCC) for its fifth Assessment Report. RCP 2.6 (referred to as rapid emissions reductions) assumes that greenhouse gas concentrations peak between 2010-2020, with emissions declining thereafter. In the RCP 8.5 scenario (referred to as continued emissions increases) greenhouse gas concentrations continue to rise throughout the 21st century.Provided layer: the number of large fires (>200 ha) across Canada for a reference period (1981-2010).Reference: Boulanger, Y., Gauthier, S., et al. 2014. A refinement of models projecting future Canadian fire regimes using homogeneous fire regime zones. Canadian Journal of Forest Research 44, 365–376.

Modeled data showing the likely distribution of gray whales. 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.

Commercial and exploratory fisheries for Arctic Char, Salvelinus alpinus, provide significant economic opportunities for Nunavummiut in several Nunavut communities. Having an accurate understanding of the weight of the Arctic Char that are harvested is important for tracking harvest and for understanding how biological parameters may be changing over time as a result of exploitation and/or climactic and environmental changes. Unfortunately, most fish enter the processing plants as dressed (gills and viscera removed) and therefore conversion factors have to be applied to reconcile whole (round) weight from dressed weight. Here, we provide an updated conversion factor based on linear regression for Arctic Char from the Halokvik River (locally known as 30 Mile) near the community of Cambridge Bay. This conversion factor can be used moving forward as the Halokvik River continues to be commercially harvested.