The Grizzly Bear Recovery Zone is the geographic extent of Alberta which indicates the intention of the Government of Alberta to recover grizzly bears. The Recovery Zone is also be a priority for attractant management, management of other sources of human-bear conflict, and building public education, awareness, and understanding of grizzly bears and their recovery. The Grizzly Bear Recovery Plan Management Zones dataset contains four layers: Grizzly Bear Core Access Management Area, Grizzly Bear Secondary Access Management Area, Grizzly Bear Habitat Linkage, and Grizzly Bear Support Zone. Please see the individual metadata records for additional details on each layer.

Boundaries identifying similar behavioural ecotypes and sub-populations of Grizzly bears. This dataset contains versions from multiple years. From 2018 on, NatureServe conservation concern ranking categories (e.g., Very Low, Low, Moderate, High, Extreme Concern) supersede the pre-2018 population status categories (e.g., Viable, Threatened, Extirpated) contained in the field STATUS. NatureServe conservation concern ranking categories reflect population size and trend, genetic and demographic isolation, as well as threats to bears and their habitats. The NatureServe conservation concern ranking fields are named CONSERVATION_CONCERN_RANK and CONSERVATION_CONCERN_DESC. Please view the attached PDF file for a summary of changes to this dataset from 2012 onward. To download only the 2018 units, in the link below, select the "Export" tab, then select the "Provincial Layer Download" button: https://maps.gov.bc.ca/ess/hm/imap4m/?catalogLayers=7744,7745 Grizzly Bear Conservation Ranking results table is available here: https://catalogue.data.gov.bc.ca/dataset/e08876a1-3f9c-46bf-b69a-3d88de1da725 Grizzly Bear population estimates from various years are available here: https://catalogue.data.gov.bc.ca/dataset/2bf91935-9158-4f77-9c2c-4310480e6c29 Grizzly Bear reports are available here: https://www2.gov.bc.ca/gov/content/environment/plants-animals-ecosystems/wildlife/wildlife-conservation/grizzly-bear

The Grizzly Bear Management Areas encompass the Recovery (Core and Secondary Access Management Areas combined), Support, and Habitat Linkage Zones for each grizzly bear subpopulation. The Grizzly Bear Management Areas are the area where the Government of Alberta focuses efforts on grizzly bear recovery and management.

This record contains Grizzly Bear population estimates for British Columbia for multiple years: 2012, 2015 and 2018. The 2012 Grizzly Bear population estimate report for British Columbia report is available here: http://www.env.gov.bc.ca/fw/wildlife/docs/Grizzly_Bear_Pop_Est_Report_Final_2012.pdf. The 2018 Grizzly Bear population estimate report for British Columbia report is available here: https://www2.gov.bc.ca/assets/gov/environment/plants-animals-and-ecosystems/wildlife-wildlife-habitat/grizzly-bears/grizzly_bear_pop_est_report_2018_final.pdf Grizzly Bear population estimates for 2015 & 2018 are provided below in tabular comma separated value (.csv) file format, as well as a zipped (.zip) Esri file geodatabase (.gdb) spatial data file format. There is no spatial difference between the 2015 & 2018 spatial data polygons, as only the population estimate numbers in the spatial data's attribute table were updated (and only if a change in population estimates occurred from 2015 to 2018). 2015 population estimates are based on 2012 numbers, but adjusted to the revised GBPU sub-units. The 2015 & 2018 population estimates in the comma separated value (.csv) tables are provided in two units: 1. Grizzly Bear Population Unit (GBPU) and 2. GBPU sub-unit. The sub-units are composed of Grizzly Bear Population Unit (GBPU), Wildlife Management Unit (WMU), Limited Entry Hunting (LEH) and National Park boundaries, taken at the time of this data's creation. _Note that that these boundaries are not coincident. Slight adjustments have been made to some polygons where needed to align the original linework to create the GBPU sub-units._ _Therefore, do not dissolve the GBPU sub-units to replicate the source data._ Bear density is given in number of bears per 1,000 square kilometers, based on the net polygon area. The net polygon area excludes ice and water features from the Baseline Thematic Mapping dataset (https://catalogue.data.gov.bc.ca/dataset/134fdc69-7b0c-4c50-b77c-e8f2553a1d40). Ice and water features can be identified by using this selection criteria: PRESENT_LAND_USE_LABEL IN ('Fresh Water', 'Salt Water', 'Glaciers and Snow'). Please view the PDF file below for more information on the data change history, and for a description of the spatial data attribute fields: BC_Grizzly_population_estimates_2015_and_2018_by_GBPU_population_sub_units_metadata.pdf Grizzly Bear population units are available here: https://catalogue.data.gov.bc.ca/dataset/caa22f7a-87df-4f31-89e0-d5295ec5c725 Grizzly Bear Conservation Ranking results table is available here: https://catalogue.data.gov.bc.ca/dataset/e08876a1-3f9c-46bf-b69a-3d88de1da725 Grizzly Bear reports are available here: https://www2.gov.bc.ca/gov/content/environment/plants-animals-ecosystems/wildlife/wildlife-conservation/grizzly-bear

Outline of Moose Habitat area (important grizzly area too)

Grizzly bear habitat to be incorporated into the Central Coast Land and Coastal Resource Management Plan

Capability mapping showing provincially significant winter ranges from CORE for moose, bighorn sheep, mule deer, goat, black bear, grizzly bear and caribou. Disclaimer: This is older strategic scale mapping information that may be superseded in some areas with more detailed TEM mapping information

This service shows the proportion of average total income of households which is spent on shelter costs by census division. The data is from the Census Profile, Statistics Canada Catalogue no. 98-316-X2016001.Shelter-cost-to-income ratio is calculated for private households living in owned or rented dwellings who reported a total household income greater than zero.Private households living in band housing, located on an agricultural operation that is operated by a member of the household, and households who reported a zero or negative total household income are excluded.The relatively high shelter-costs-to-household income ratios for some households may have resulted from the difference in the reference period for shelter costs and household total income data. The reference period for shelter cost data is 2016, while household total income is reported for the year 2015. As well, for some households, the 2015 household total income may represent income for only part of a year.For additional information refer to the 2016 Census Dictionary for 'Total income' and 'Shelter cost'.To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census division” web service, accessible in the data resources section below.

This service shows the proportion of average total income of households which is spent on shelter costs by census subdivision. The data is from the Census Profile, Statistics Canada Catalogue no. 98-316-X2016001.Shelter-cost-to-income ratio is calculated for private households living in owned or rented dwellings who reported a total household income greater than zero.Private households living in band housing, located on an agricultural operation that is operated by a member of the household, and households who reported a zero or negative total household income are excluded.The relatively high shelter-costs-to-household income ratios for some households may have resulted from the difference in the reference period for shelter costs and household total income data. The reference period for shelter cost data is 2016, while household total income is reported for the year 2015. As well, for some households, the 2015 household total income may represent income for only part of a year.For additional information refer to the 2016 Census Dictionary for 'Total income' and 'Shelter cost'.To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census subdivision” web service, accessible in the data resources section below.

The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day.