This map displays the distribution of Solonetzic soils in the agricultural region of Alberta. Solonetzic soils have developed on saline parent material that is high in sodium and have a characteristic hardpan layer that has formed in the subsoil. This hardpan is very hard when dry and has low permeability when wet. This results in restricted root and water penetration that may limit the productivity of these soils. Solonetzic soils occur in association with Chernozemic soils and, to a lesser extent, with Luvisolic soils.The Agricultural Region of Alberta Soil Inventory Database (AGRASID) soil landscape polygons that contained soils belonging to the Solonetzic Order were identified, and the areal extent of these soils was represented as a percentage of the total area using the following classes: greater than 30, 10 to 30 and less than 10. This resource was created in 2002 using ArcGIS.

This map displays the risk of soil degradation by wind in the agricultural region of Alberta. Wind erosion is a concern because it reduces soil quality by removing soil nutrients, smaller soil particles and organic matter. Wind erosion can reduce air quality during extreme erosion events and also reduce water quality if eroded particles drift into streams and lakes. The map uses five classes to describe the wind erosion risk on bare, unprotected mineral soil: negligible, low, moderate, high and severe. This resource was created using ArcGIS. It was originally published as a print map in 1989.

This data was produced under contract for Alberta Forestry and Parks, Forest Management Branch in 2015-2016. Variables used were elevation, aspect, slope, landscape mesotopography (e.g. ridge, upper slope, etc). DEM was used where there was no LiDAR coverage, with a resolution of 25 m2 pixels. Canopy height was not included in this model because it was a product generated by LiDAR. In these files there is a report assessing accuracy of the models compared with field observation data. detailed accuracy data by township is available upon request.

This map displays the percentage of organic matter in the surface layer of cultivated soils in the agricultural region of Alberta. Soil organic matter (SOM) is derived primarily from the decomposition of plant biomass. SOM improves both the physical and chemical properties of soil and has beneficial effects on agricultural soil quality. SOM is reported on the map as a percentage using the following classes: less than 2 (very low), 2 to 4 (low), 4 to 6 (medium), 6 to 8 (high) and greater than 8 (very high).This resource was created in 2002 using ArcGIS.

This map displays an assessment of soil erosion risk for the agricultural area of Alberta. Loss of protective residue cover through cultivation will increase the potential risk of soil erosion. The vulnerability of the soil to erosion combined with the intensity of cultivation determines the degree to which the soil may be at risk. The classes shown on the map were ranked from 0 (lowest risk) to 1 (highest risk). This resource was created in 2002 using ArcGIS.

This map illustrates the distribution of soil parent material textures in the agricultural region of Alberta. Soil texture is defined by the relative proportions of the sand, silt and clay particles present. Soil textures are identified by classes using the Soil Texture Triangle illustrated below. The Soil Texture Triangle identifies the textural class of a soil at the intersection of the percent sand (x-axis) and the percent clay (y-axis). The percent silt of the soil is the remainder to add up to 100 percent. This resource was created in 2002 using ArcGIS.

This map displays the risk of soil degradation by water in the agricultural region of Alberta. Water erosion is a concern because it reduces soil quality by removing soil particles and nutrients, and reduces water quality if these particles are carried into nearby water bodies. The map uses five classes to describe the water erosion risk on bare, unprotected mineral soil: negligible, low, moderate, high and severe.This resource was created using ArcGIS, originally published as a print map in 1993 .

The Alberta Regeneration Information System (ARIS) requires a unique identifier assigned to a cutblock to enable tracking within ARIS. This number is generated from a point roughly derived from the centre of the cutblock. The number is a concatenation of the point's legal description plus a grid cell number. The format is MRRTTTSSGG where M - Meridian, RR - Range, TTT - Township, SS - Section, GG - grid cell. The MRRTTSS information is derived with reference to the Alberta Township System. The grid cell is derived from a 10 by 10 grid that is overlaid on the section that the centre of the cutblock is contained in. Grid cells are numbered between 00 - 99 with the grid origin at the bottom left corner of the section and anchored to the centre of grid cell 00. The first digit represents the grid column and the second digit is the grid row of the 10 by 10 matrix. Note that in some cases a letter may be appended to the end of the opening number where an opening number had to be split between two cutblocks for some reason. For example, cutblocks may have the same basic opening number but one is differentiated from the other with one having an A and the other having a B appended to the end of the base opening number.This dataset contains all the potential opening numbers in the Green Area of the province, either as a whole or by Forest Management Unit (FMU).

This data was produced under contract for Alberta Forestry and Parks, Forest Management Branch in 2015-2016. Variables used were elevation, aspect, slope, landscape mesotopography (e.g. ridge, upper slope, etc). LiDAR coverageyielded a resolution of 1m2 pixels. Canopy height was included in this model. In these files there is a report assessing accuracy of the models compared with field observation data. detailed accuracy data by township is available upon request.

This data was produced under contract for Alberta Forestry and Parks, Forest Management Branch in 2015-2016. Variables used were elevation, aspect, slope, landscape mesotopography (e.g. ridge, upper slope, etc). Where there was LiDAR coverage, resolution was 1m2 pixels. Canopy height was included in this model as a product generated by LiDAR. In these files there is a report assessing accuracy of the models compared with field observation data. detailed accuracy data by township is available upon request.