This digital product identifies linear based erosion features in central and eastern NSW and forms a component of a much larger natural resource dataset called multi attribute mapping. Four severity levels of gully erosion plus streambank erosion and erosion of farm tracks are delineated in this mapping. Additional properties such as gully depth or presence of salting further subdivide these classes. Descriptions of the 25 classes are documented in the Standard Classification for Attributes of Land (SCALD) manual. Overall multi attribute data is a vector-based inventory of the landscape comprising polygon and linear features. This system of mapping describes a number of attributes (such as slope, terrain, land use, vegetation community, presence of tree regrowth, soil erosion, rock outcrops, weed species and soil conservation measures) into one polygon. The value of attribute mapping lies in the fact that the data, which objectively characterises the land, can be used for a variety of purposes. This translates into the availability of a range of derivative maps. Mapping is typically carried out at 1:25 000 scale using topographic maps as a base. Outputs are most useful at the sub-catchment or regional scale but not generally at the property level.

Water repellence, or non-wetting, due to coating of soil particles by waxy materials from the breakdown of plant debris can result in water beading on the surface, uneven wetting and large masses of soil remaining dry. Mapping shows the proportion of land affected and degree of water repellence, while detailed proportion data are supplied for calculating respective areas of each water repellence class (spatial data statistics).

Physical condition of surface soil mapping highlights areas where plant growth may be impeded due to poor surface soil structure, predominantly due to a condition known as hard setting. Mapping shows the proportion of land with surface soils susceptible to hard setting or sealing, while detailed proportion data are supplied for calculating respective areas of each physical condition of surface soil class (spatial data statistics).

Surface rockiness mapping describes the overall amount of surface stones and outcropping rock, in the context of management implications for farming. Mapping shows the estimated average degree of rockiness, while detailed proportion data are supplied for calculating respective areas of each surface rockiness class (spatial data statistics).

Water erosion potential, based on Soil Landscape Map Units of Southern South Australia, describes the susceptibility of land to sheet or rill erosion due to overland flow of water. Mapping shows the dominant water erosion potential class, while detailed proportion data are supplied for calculating respective areas of each water erosion potential class (spatial data statistics). Also available for download: Soil Water Erosion Potential (SA).

Waterlogging susceptibility describes the degree and duration of impact to soils, and hence plants, arising from poor drainage. Mapping indicates the most severely waterlogged areas (provided they occupy at least 30% of a map unit), while detailed proportion data are supplied for calculating respective areas of each waterlogging susceptibility class (spatial data statistics).

Physical condition of soil provides an integrated view of various physical impediments to plant growth associated with surface soils, subsoils and other limitations (e.g. waterlogging, salinity, rockiness or steepness). Mapping shows the most limiting soil physical condition (provided it occupies at least 30% of a map unit), while detailed proportion data are supplied for calculating respective areas of each physical condition of soil class (spatial data statistics).

Susceptibility to flooding imposes a serious limitation on land especially where infrastructure is required. Mapping shows the proportion of land susceptible to flooding, while detailed proportion data are supplied for calculating total areas of susceptible land (spatial data statistics).

This dataset represents the average of the relative nutrient loss rates due to water erosion for the three nutrients total nitrogen, total phosphorus and soil organic carbon. The dataset is masked to cropping and grazing lands. The units are percentage/year. Relative nutrient loss is calculated as the annual loss of nutrient from the top 5 cm of soil relative to the total stock of each nutrient in the full depth of the soil profile. Annual erosion rate data are from Teng et al. (2016) and soil nutrient data are from the Soil and Landscape Grid of Australia. For a full description of the methods used to generate this datset see McKenzie et al. (2017).To present the average relative nutrient loss rate data in Figure 4.5 in McKenzie et al. (2017), the data were divided into seven classes using percentiles as the class breaks. That is, 20 % of the grid cells fell into each of the first four classes, 10 % of the grid cells into the fifth class, and 5 % into each of the sixth and seventh classes. The actual average nutrient loss rate values which represent those class breaks are listed below:0-20th percentile: < 0.003 %/y20-40th percentile: 0.003 - 0.005 %/y40-60th percentile: 0.005 - 0.009 %/y60-80th percentile: 0.009 - 0.019 %/y80-90th percentile: 0.019 - 0.045 %/y90-95th percentile: 0.045 - 0.098 %/y95-100th percentile: > 0.098 %/y