This map depicts the metamorphic facies for the Province of Saskatchewan, Canada.This map depicts the metamorphic facies for the province of Saskatchewan. The Precambrian Shield of Northern Saskatchewan has a complex metamorphic history with as many as six distinct thermotectonic events affecting various regions. Several of these result from major periods of crustal thickening attributed to orogenies, whereas others represent separate pulses of unknown origin. As might be expected, it is the most recent of these that are the most extensively preserves and that can be documented most reliably. More information can be found in GSC Open File 5443 Metamorphic map of Northern Saskatchewan, scale 1:1 000 000. **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule.

Hydrogeological Regions provide a framework to introduce the regional hydrogeology of Canada and to connect apparently disparate studies into a broader framework. The hydrological regions are first order areas used to capture and summarize data that will help develop more detailed profiles of each region. Comparison of findings within and between regions will allow scalable extension to sub-regional and watershed scale mapping.Canada has been classified into nine principal hydrogeological regions. Each region is described briefly based on the following five hydrogeological characteristics (Heath, 1984):system components and geometry;water-bearing openings;rock matrix composition;storage and transmission;recharge/ discharge.The hydrogeological classification emphasizes major geological provinces and rock formations. Fundamental water-bearing openings and rock matrix properties help determine the quantity (storage), flux (transmission), and composition of formation waters. These same properties and any overlying sediment cover affect recharge/ discharge rates for regional formations. While regional attributes are general, a simple aquifer mapping scheme can further describe the nature and character of aquifers in each region. For example, general groundwater settings across the country could be described as has been done by USGS principal aquifers [1]. Thus the regional framework can potentially link from national scales to watershed scales by identifying typical aquifer types based on readily available geological maps that use water-bearing character as a common attribute.The nine hydrogeological regions include:CordilleraMountains with thin sediment over fractured sedimentary, igneous and metamorphic rocks of Precambrian to Cenozoic age. Intermontane valleys are underlain by glacial and alluvial deposits of Pleistocene age.Plains (Western Sedimentary Basin)Region-wide basin of sub-horizontal Paleozoic to Cenozoic sedimentary rocks are overlain by thick glacial deposits filling buried valleys. Incised post-glacial valleys provide local relief. Shallow gas, coal, and brines may occur.Canadian ShieldUndulating region of thin glacial sediment overlying complex deformed, fractured PreCambrian igneous, metamorphic and sedimentary rocks. Region contains several terrains: sedimentary basins, structural belts, and glacial-lacustrine basins.Hudson Bay (Moose River) BasinSedimentary basin of Paleozoic to Mesozoic sub horizontal carbonate and clastic sediment covered by surficial deposits, with low relief and poor drainage.Southern OntarioEastern Great Lakes region is underlain by gently-dipping Paleozoic, carbonate, clastic and gypsum-salt strata overlain by glacial sediments up to 200 m thick with tunnel valleys. Karst, bedrock valleys, shallow gas and brines are also important components.St. Lawrence LowlandsLowlands underlain by shallow-dipping Paleozoic sedimentary rocks and thick glacial sediment in glacial-marine basins. Appalachian and Precambrian uplands discharge water to valleys. Shallow gas and saltwater intrusion are possible.AppalachiaUpland to mountainous region with thin surficial sediment on folded Paleozoic sedimentary and igneous rocks. Range of rock types yields a wide range of water compositions. Valleys contain important alluvial aquifers.Maritimes BasinLowlands with flat-lying, Carboniferous clastic , salt, and gypsum rocks contain shallow coal deposits. Surface glacial sediment is thin and discontinuous. Salt water intrusion is possible.PermafrostArctic islands and most areas north of 60o contain frozen ground affects on groundwater flow. Diverse topography and geology define sub-regions of sedimentary basins and crystalline rocks. Glacial sediment is thin, discontinuous; local peat accumulations are significant.

Background:More than 80% of the heat produced in the Earth's crust comes from granitoid rocks. When granitoid rocks form they naturally concentrate radioactive elements such as U, Th, and K, and the radiogenic decay of these elements is an exothermic reaction. The radioactive decay of these elements within a granitoid body may generate local heat anomalies and elevated geothermal gradient at relatively shallow crustal levels. In combination with other local rock properties (e.g, porosity, permeability, thermal conductivity), radiogenic heat has the potential to generate a geothermal resource. The decay of radioactive elements converts mass into radiation energy, which in turn gets converted to heat. While all naturally radioactive isotopes generate some heat, significant heat generation only occurs from the decay of 238 U ,235 U ,232 Th and 40 K. Therefore, potential heat production is governed by the concentrations of U ,Th and K in the rock. In igneous rocks, radiogenic heat production is dependent on the bulk chemistry of the rock and decreases from acidic (e.g. granite) through basic to ultra basic rock types. Therefore, granites with anomalously high concentrations of U ,Th and K are targets for calculating potential radiogenic heat production. Potential radiogenic heat production (A)from plutonic rocks can be calculated using this equation:A (\\u03BCW/m 3 )=10 -5 \\u1D29 (9.52c u +2.56c K +3.48c Th )where "c" is the concentration of radioactive elements "U" and "Th" in ppm, and "K" in %; and "\\u1D29" is the rock density. Heat production constants of the natural radio-elements U, Th, K are 9.525x10 -5 , 2.561x10 -5 and 3.477x10 -9 W/kg, respectively.Data and Methods:Geochemical data from \~1760 samples of plutonic rocks from Yukon are used to calculate potential heat production. The calculated values for radiogenic heat production (A) are plotted over the mapped distribution of Paleozoic and younger plutonic rocks and major crustal faults are also shown for reference.

A predictive model for Canadian carbonatite-hosted REE ± Nb deposits is presented herein. This model was developed by integrating diverse data layers derived from geophysical, geochronological, and geological sources. These layers represent the key components of carbonatite-hosted REE ± Nb mineral systems, including the source, transport mechanisms, geological traps, and preservation processes. Deep learning algorithms were employed to integrate these layers into a comprehensive predictive framework. Here is a link to the publication that describes this product: https://link.springer.com/article/10.1007/s11053-024-10369-7

The bedrock geologic units designate units of the same types of rock which composed the solid rock exposed at ground surface (as outcrop) or which underlies unconsolidated surficial sediments. This dataset represents a general description of the stratigraphy and geology, including geologic unit thickness, morphology, age and rank. It features a list of the geologic unit names and types of rock (lithology) in the hydrogeological unit, from a controlled vocabulary. While the preferred format to deliver this data is by using a shapefile and its linked attributes, this dataset can be delivered also by providing link to external data which should have at least the same properties or also by joining a georeferenced image of the map.

Surficial geologic units are unconsolidated materials overlying bedrock. The dataset represents a general description of the stratigraphy and geology, including geologic unit thickness, morphology, age and rank. It features a list of the geologic unit names and types of sediment in the hydrogeological unit. While the preferred format to deliver this data is by using a shapefile and its linked attributes, this dataset can be delivered also by providing link to external data which should have at least the same properties or also by joining a georeferenced image of the map.

This geodatabase includes hotspot maps of 1) nearshore habitat richness, 2) diversity (fish and invertebrates), and 3) biomass (using catch per unit effort of fish and invertebrates), as well as two layers showing the spatial extent of the diversity and biomass hotspot analyses. Full details and methods can be found in the Rubidge et al. 2018 CSAS Research Document 2018/053 available here or at https://waves-vagues.dfo-mpo.gc.ca/Library/40759842.pdf. These data were reviewed as part of a Canadian Science Advisory Secretariat (CSAS) regional peer review process on Nov 1-2, 2017.Habitat Richness Hotspots: Because there are no systematic surveys of nearshore species that span the entire coastline of Northern Shelf Bioregion, the nearshore habitat richness hotspots were developed as a proxy for species diversity in nearshore areas. Habitat richness was calculated from eight habitat features: eelgrass, surfgrass, canopy-forming kelp, estuaries, areas of high rugosity, and hard, mixed, and soft substrate. The number of features within 1 km x 1 km planning units was counted, and hotspots were identified using the Getis-Ord G* tool in ArcGIS. Planning units with Gi_Bin values of 3 (99% confidence) were classified as habitat richness hotspots.Diversity and Biomass Hotspots: Hotspots of fish and invertebrate diversity and biomass were developed as proxies for spatial patterns of productivity in the Northern Shelf Bioregion. Diversity (Shannon diversity) and biomass (kg/hour or count/hook/hour) were calculated from DFO synoptic trawl and outside hard-bottom longline (HBLL) survey catch records. The outside HBLL survey was previously referred to as Pacific Halibut Management Area (PHMA) survey. The synoptic trawl and HBLL surveys have complementary spatial coverage, with the HBLL surveys occurring in more coastal areas (20–260 m) and the synoptic trawl surveys occurring on deeper shelf areas (50–1300 m). Hotspots were identified using the Getis-Ord G* tool in ArcGIS for five separate analyses: fish biomass (trawl), fish diversity (trawl), fish diversity (longline), invertebrate biomass (trawl), and invertebrate diversity (trawl). Using the Minimum Bounding Geometry Tool, convex hull polygons were drawn around groups of hotspot points (Gi_Bin values of 1, 2, or 3; confidence ≥90%) containing 10 or more points. The resulting polygons were then buffered by 1 km and manually edited where needed to exclude any large areas of the polygons that did not include hotspot points.

The National Ecological Framework for Canada's "Landform by Ecoregion” series contains tables that provide regional landform information for components within the ecoregion framework polygon. It provides landform codes and their English and French-language descriptions as well as information about the percentage of the polygon that the component occupies. Regional landforms generally describe a region and include the various shapes of the land surface resulting from a variety of actions such as deposition or sedimentation (eskers, lacustrine basins), erosion (gullies, canyons), and earth crust movements (mountains). The regional landform classes are: plateau or tableland, hill and mountain, organic wetland, plain, scarp or valley.

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.Annual area burned is the average surface area burned annually in Canada by large fires (greater than 200 hectares (ha)). Changes in annual area burned were estimated using Homogeneous Fire Regime (HFR) zones. These 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 annual area burned by 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.

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.