These structure, isopach and zero edge files are part of a series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project.The series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project have been produced using 2 km equi-spaced modified grids generated from Golden Software’s Surfer 9 kriging algorithm. The dataset used to produce each of the maps in this series was created using data from several projects completed by the Ministry (Christopher, 2003; Saskatchewan Industry and Resources et al., 2004; Kreis et al., 2004; Marsh and Heinemann, 2006; Saskatchewan Ministry of Energy and Resources et al., 2007; Heinemann and Marsh, 2009); these data were validated and edited as required to facilitate correlations between the various regional projects. In addition, to minimize edge effects during contouring, the senior author also generated stratigraphic data from wells in adjacent jurisdictions.

These structure, isopach and zero edge files are part of a series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project.The series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project have been produced using 2 km equi-spaced modified grids generated from Golden Software’s Surfer 9 kriging algorithm. The dataset used to produce each of the maps in this series was created using data from several projects completed by the Ministry (Christopher, 2003; Saskatchewan Industry and Resources et al., 2004; Kreis et al., 2004; Marsh and Heinemann, 2006; Saskatchewan Ministry of Energy and Resources et al., 2007; Heinemann and Marsh, 2009); these data were validated and edited as required to facilitate correlations between the various regional projects. In addition, to minimize edge effects during contouring, the senior author also generated stratigraphic data from wells in adjacent jurisdictions.

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 .

Location of timestampers.attributs:ID - Unique IdentifierNo - Number**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The National Ecological Framework for Canada's "Elevation by Ecoprovince” dataset provides elevation information for ecoprovince framework polygons, in meters. It includes codes and descriptions for minimum elevation, maximum elevation, mean elevation and the difference in elevation.

Delineation of areas potentially exposed to landslides and protective bands.attributs:ID - Unique IdentifierType - Entity type**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Municipal public parking.attributes:ID - Unique IDName - Parking nameNumber of parking spaces - Number of parking spaces**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

####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.

This data depicts site suitability for the establishment of area-based Short Rotation Woody Crops (SRWC) of hybrid poplar on lands eligible (i.e. non-forested) for afforestation across Canada.Determining the feasibility of a large-scale afforestation program is one approach being investigated by the Government of Canada to increase Canada's potential to sequester carbon from the atmosphere and/or produce bioproducts and bioenergy. Large-scale afforestation, however, requires knowledge of where it is suitable to establish and grow trees. Spatial models based on Boolean logic and/or statistical models within a geographic information system may be used for this purpose, but empirical environmental data are often lacking, and the association of these data to land suitability is most often a subjective process. As a solution to this problem, a fuzzy-logic modeling approach to assess site suitability for afforestation of hybrid poplar (Populus spp.) and willow (Salix spp.) in Canada was developed. Expert knowledge regarding the selection and magnitudes of environmental variables were integrated into fuzzy rule sets from which estimates of site suitability were generated and spatially presented. The environmental variables selected included growing season precipitation, climate moisture index, growing degree days, the Canada Land Inventory capability for agriculture and elevation. Site suitability is generally defined as the fitness of a given type of land for a particular use. For this assessment, site suitability was defined as the fitness of edaphic, climatic and topographic conditions to establish and grow SRWC species at rates 8 times those of native species. Suitability index values range from 1-100, with higher values corresponding to higher suitability. Approximately 246,000 km2, or 38% of the eligible land base within Canada was found to be suitable for afforestation using Short Rotation Woody Crops (SRWC) of hybrid poplar and/or willow.

This data publication contains two collections of raster maps of forest attributes across Canada, the first collection for year 2001, and the second for year 2011. The 2001 collection is actually an improved version of an earlier set of maps produced also for year 2001 (Beaudoin et al 2014, DOI: https://doi.org/10.1139/cjfr-2013-0401) that is itself available through the web site “http://nfi-nfis.org”. Each collection contains 93 maps of forest attributes: four land cover classes, 11 continuous stand-level structure variables such as age, volume, biomass and height, and 78 continuous values of percent composition for tree species or genus. The mapping was done at a spatial resolution of 250m along the MODIS grid. Briefly the method uses forest polygon information from the first version of photoplots database from Canada’s National Forest Inventory as reference data, and the non-parametric k-nearest neighbors procedure (kNN) to create the raster maps of forest attributes. The approach uses a set of 20 predictive variables that include MODIS spectral reflectance data, as well as topographic and climate data. Estimates are carried out on target pixels across all Canada treed landmass that are stratified as either forest or non-forest with 25% forest cover used as a threshold. Forest cover information was extracted from the global forest cover product of Hansen et al (2013) (DOI: https://doi.org/10.1126/science.1244693). The mapping methodology and resultant datasets were intended to address the discontinuities across provincial borders created by their large differences in forest inventory standards. Analysis of residuals has failed to reveal residual discontinuities across provincial boundaries in the current raster dataset, meaning that our goal of providing discontinuity-free maps has been reached. The dataset was developed specifically to address strategic issues related to phenomena that span multiple provinces such as fire risk, insect spread and drought. In addition, the use of the kNN approach results in the maintenance of a realistic covariance structure among the different variable maps, an important property when the data are extracted to be used in models of ecosystem processes. For example, within each pixel, the composition values of all tree species add to 100%. * Details on the product development and validation can be found in the following publication: Beaudoin, A., Bernier, P.Y., Villemaire, P., Guindon, L., Guo, X.-J. 2017. Tracking forest attributes across Canada between 2001 and 2011 using a kNN mapping approach applied to MODIS imagery, Canadian Journal of Forest Research 48: 85–93. DOI: https://doi.org/10.1139/cjfr-2017-0184 * Please cite this dataset as: Beaudoin A, Bernier PY, Villemaire P, Guindon L, Guo XJ. 2017. Species composition, forest properties and land cover types across Canada’s forests at 250m resolution for 2001 and 2011. Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Quebec, Canada. https://doi.org/10.23687/ec9e2659-1c29-4ddb-87a2-6aced147a990 * This dataset contains these NFI forest attributes: ## LAND COVER : landbase vegetated, landbase non-vegetated, landcover treed, landcover non-treed ## TREE STRUCTURE : total above ground biomass, tree branches biomass, tree foliage biomass, stem bark biomass, stem wood biomass, total dead trees biomass, stand age, crown closure, tree stand heigth, merchantable volume, total volume ## TREE SPECIES : abies amabilis (amabilis fir), abies balsamea (balsam fir), abies lasiocarpa (subalpine fir), abies spp. (unidentified fir), acer macrophyllum (bigleaf maple), acer negundo (manitoba maple, box-elder), acer pensylvanicum (striped maple), acer rubrum (red maple), acer saccharinum (silver maple), acer saccharum (sugar maple), acer spicatum (mountain maple), acer spp. (unidentified maple), alnus rubra (red alder), alnus spp. (unidentified alder), arbutus menziesii (arbutus), betula alleghaniensis (yellow birch), betula papyrifera (white birch), betula populifolia (gray birch), betula spp. (unidentified birch), carpinus caroliniana (blue-beech), carya cordiformis (bitternut hickory), chamaecyparis nootkatensis (yellow-cedar), fagus grandifolia (american beech), fraxinus americana (white ash), fraxinus nigra (black ash), fraxinus pennsylvanica (red ash), juglans cinerea (butternut), juglans nigra (black walnut), juniperus virginiana (eastern redcedar), larix laricina (tamarack), larix lyallii (subalpine larch), larix occidentalis (western larch), larix spp. (unidentified larch), malus spp. (unidentified apple), ostrya virginiana (ironwood, hop-hornbeam), picea abies (norway spruce), picea engelmannii (engelmann spruce), picea glauca (white spruce), picea mariana (black spruce), picea rubens (red spruce), picea sitchensis (sitka spruce), picea spp. (unidentified spruce), pinus albicaulis (whitebark pine), pinus banksiana (jack pine), pinus contorta (lodgepole pine), pinus monticola (western white pine), pinus ponderosa (ponderosa pine), pinus resinosa (red pine), pinus spp. (unidentified pine), pinus strobus (eastern white pine), pinus sylvestris (scots pine), populus balsamifera (balsam poplar), populus grandidentata (largetooth aspen), populus spp. (unidentified poplar), populus tremuloides (trembling aspen), populus trichocarpa (black cottonwood), prunus pensylvanica (pin cherry), prunus serotina (black cherry), pseudotsuga menziesii (douglas-fir), quercus alba (white oak), quercus macrocarpa (bur oak), quercus rubra (red oak), quercus spp. (unidentified oak), salix spp. (unidentified willow), sorbus americana (american mountain-ash), thuja occidentalis (eastern white-cedar), thuja plicata (western redcedar), tilia americana (basswood), tsuga canadensis (eastern hemlock), tsuga heterophylla (western hemlock), tsuga mertensiana (mountain hemlock), tsuga spp. (unidentified hemlock), ulmus americana (white elm), unidentified needleaf, unidentified broadleaf, broadleaf species, needleaf species, unknown species