The “Terrestrial Ecoprovinces of Canada” dataset provides representations of ecoprovinces. An ecoprovince is a subdivision of an ecozone and is characterized by major assemblages of structural or surface forms, faunal realms, and vegetation, hydrology, soil, and macro climate. For example, the Newfoundland ecoprovince (no. 6.4) is one of six ecoprovinces within the Boreal Shield Ecozone

Boreal caribou core habitat areas for the Peace Region are areas of high current capability and suitability based on boreal caribou habitat requirements and known use (via surveys, telemetry studies, etc.)

The Boreal Caribou data Package includes layers that are used for Boreal Caribou Range Planning in the NWT. This includes fire history, human disturbance, range planning regions as well as the 2020 Resource Selection Function layers for all seasons. Data sources and contact information can be found within each layer's metadata.

This spatial data represents the boundaries of Manitoba's forest sections. Forest sections are administrative areas comprised of Forest Management Units (FMU's). There are 14 uniquely named forest sections in Manitoba, 9 of which are capable of growing commercial forests.Manitoba's f orest sections are administrative areas comprised of Forest Management Units (FMU's). There are 14 uniquely named forest sections in Manitoba, 9 of which are capable of growing commercial forests. The Aspen Parkland forest section in the south along with the northern forest sections of Boreal Shield, Taiga Shield, Hudson Plains and Southern Arctic are incapable of growing commercial forests. The four northern forest sections were previously called the 'white zone' and all have retained the previous white zone forest section number of 10. The northern forest section boundaries are based on the following ecozones:Hudson Plains: A subarctic area encompassing the coastal areas of Hudson Bay. The area is formed into a wide, level plain, characterised by poor drainage that has resulted in large and numerous peatlands, lakes, coastal marshes, and tidal flats. Alder, willow, black spruce, and tamarack are the most common tree species.Taiga Shield: Terrain is typically flat or with rolling hills caused by glacial retreat; long eskers and uplands are common. Shallow soils remain damp year-round and regularly freeze and thaw; this leads to tilted growing trees, sometimes called ‘drunken forests’. The northern edge of the forest section is delineated by the tree line. Black spruce, jack pine, birch, tamarack, white spruce, balsam fir, trembling aspen, and balsam poplar are common tree species.Southern Arctic: The southern boundary designated the tree line. Moraines, eskers, kettle lakes, and ponds are common. Permafrost occurs in a continuous sheet throughout the section; polygonal hummocks often result from the freeze and thaw of the soils.Boreal Shield : This forest section represents the upper boundary of the boreal shield ecozone, characterised by long, cold winters and warm summers. Permafrost is widespread. Uplands and lowland tree species are common. Soil varies from poorly drained muskeg to glacially-deposited sand. Coniferous trees include white and black spruce, balsam fir, jack pine, and tamarack; hardwood tree species include birch, trembling aspen, and balsam poplar. Forest fires and insect outbreaks are the natural drivers of forest succession. The ten forest sections south of forest section 10 are sometimes referred to as the 'green zone' and include the following: Pineland, Aspen Parkland, Mountain, Interlake, Lake Winnipeg East, Churchill, Nelson River, Hayes River, Saskatchewan River and Highrock. Fields Included: S ECTION : Forest section number . SECTION_NAME : Forest section name .

Saskatchewan's woodland caribou range is divided into two conservation units, based on the ecozone boundaries of the boreal shield (SK1) and the boreal plain (SK2). The SK2 Caribou Conservation Unit is further divided into three administrative units: SK2 East, SK2 Central and SK2 West.The SK1 (Boreal Shield) Caribou Conservation Unit encompasses the rocky shield, sandy plains and many lakes of northern Saskatchewan. The SK2 (Boreal Plain) Caribou Conservation Unit encompasses the more productive mixed-wood forests and lakes of central Saskatchewan, including large areas of low-lying peatlands. While these two units represent important differences in ecological conditions (e.g., habitat types, fire regimes, landforms, etc.) and human land use and management (e.g., overall levels and types of land use, fire management, etc.), the boundary between SK1 and SK2 does not represent a population boundary, as caribou move freely between the two areas. The large size of the SK2 Caribou Conservation Unit (i.e., 109,717 km2) is not well suited for range assessment and range planning activities, given the large variation in ecological conditions, habitat types, land use, and natural disturbance regimes across the Boreal Plain of Saskatchewan. As a result, three smaller caribou administrative units within SK2 were developed: SK2 East, SK2 Central and SK2 West. SK2 West is further subdivided into two smaller management subunits. At present, the SK1 area has not been sub-divided into administrative units. Find out more about woodland caribou and what the province is doing to manage their habitat and protect their populations: https://www.saskatchewan.ca/business/environmental-protection-and-sustainability/wildlife-and-conservation/wildlife-species-at-risk/woodland-caribou-program

Wildfire location points for the current fire season. This includes both active and inactive fires. Data is supplied through various sources and is updated from the operational systems every 15 minutes. These points are rolled over to Historical Fire Points on April 1 of each year. Wildfire data may not reflect the most current fire situation, and therefore should only be used for reference purposes. Wildfire data is refreshed when practicable and individual fire update frequency will vary. The information is intended for general purposes only and should not be relied on as accurate because fires are dynamic and circumstances may change quickly.

Wildfire perimeters for all fire seasons before the current year. Supplied through various sources. Not to be used for legal purposes. These perimeters may be updated periodically during the year. On April 1 of each year the previous year's fire perimeters are merged into this dataset

Wildfire historic incident point locations for all fire seasons before the current season. Supplied through various sources. Not to be used for legal purposes. This data includes all incidents tracked by BC Wildfire Service, ie. actual fires, suspected fires, nusiance fires, smoke chases, etc. On April 1 of each year this layer is updated with the previous fire season's 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: projected number of large fires (>200 ha) across Canada for the short-term (2011-2040) under the RCP 8.5 (continued emissions increases).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.

Wildfire Year/dNBR/Mask 1985-2015Wildfire change magnitude 85-15. Spectral change magnitude for wildfires that occurred from 1985 and 2015. The wildfire change magnitude included in this product is expressed via differenced Normalized Burn Ratio (dNBR), computed as the variation between the spectral values before and after the change event. This dataset is composed of three layers: (1) binary wildfire mask, (2) year of greatest wildfire disturbance, and (3) differenced Normalized Burn Ratio (dNBR) transformed for data storage efficiency to the range 0-200. The actual dNBR value is derived as follows: dNBR = value / 100. Higher dNBR values are related to higher burn severity. The information outcomes represent 30 years of wildfires in Canada's forests, derived from a single, consistent spatially-explicit data source in a fully automated manner. Time series of Landsat data with 30-m spatial resolution were used to characterize national trends in stand replacing forest disturbances caused by wildfire for the period 1985-2015 for Canada's 650 million hectare forested ecosystems.When using this data, please cite as: Hermosilla, T., M.A. Wulder, J.C. White, N.C. Coops, G.W. Hobart, L.B. Campbell, 2016. Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring. International Journal of Digital Earth 9(11), 1035-1054. (Hermosilla et al. 2016).See references below for an overview on the data processing, metric calculation, change attribution and time series change detection methods applied, as well as information on independent accuracy assessment of the data.Hermosilla, T., Wulder, M. A., White, J. C., Coops, N.C., Hobart, G.W., 2015. An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites. Remote Sensing of Environment 158, 220-234. (Hermosilla et al. 2015a).Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., 2015. Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics. Remote Sensing of Environment 170, 121-132. (Hermosilla et al. 2015b).Geographic extent: Canada's forested ecosystems (~ 650 Mha)Time period: 1985–2011