Territory Stories

Land Resources of Auvergne Station



Land Resources of Auvergne Station

Other title

A supplement to the Land Resources of the Victoria River District


Napier, Diane; Edmeades, Bart; Lynch, Brian; McGregor, Robert; Northern Territory. Department of Environment and Natural Resources


Hill, J.V.


E-Publications; E-Books; PublicationNT; Jul-18




Auvergne Station; NT Portion 2676; Victoria River Downs; Victoria River District


This report for Auvergne Station is a supplement to Land Resources of the Victoria River District (2012) and completes the land resource assessment of the district which covers 24 properties and approximately 78 760 km² of pastoral land. Land unit mapping at 1:100 000 describes the landforms, soils and vegetation in the district.


Made available via the Publications (Legal Deposit) Act 2004 (NT)

Table of contents

Table of contents; 1. Introduction; 2. Previous mapping; 3. Survey methodology and data collection; 4. Lithology; 5. Landform; 6. Soil; 7. Soil physical and chemical characteristics; 8. Vegetation; 9. Land evaluation; 10. Soil erosion; 11. Land unit descriptions; 12. References; Appendices 1 - 12.




Soils -- Northern Territory -- Auvergne Station; Land use -- Northern Territory -- Auvergne Station; Geology -- Northern Territory -- Auvergne Station; land resource assessment; land units; soil landscapes; vegetation communities

Publisher name

Northern Territory Government

Place of publication





204 pages ; colour photographs, maps, figures, tables ; 30 cm.

File type





Attribution International 4.0 (CC BY 4.0)

Copyright owner

Northern Territory Government



Related links

http://www.ntlis.nt.gov.au/metadata/export_data?type=html&metadata_id=E3F20A909A8123ADE040CD9B21446CC0; http://hdl.handle.net/10070/245323 [Land resources of the Victoria River District]

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Citation address


Page content

Land Resources of Auvergne Station A supplement to the Land Resources of the Victoria River District 180 Appendix 6 K factor methodology The following methodology has been sourced from Burgess et al. (2017). Use of this information from these authors is gratefully acknowledged. K factor methodology Where soils are unstructured, lack vertosolic properties and have a combined silt (Si) and very fine sand (vfs) fraction less than 68%, Rosewell and Loch (2002) suggest K factor values can be calculated using dispersed particle size data (Bowman and Hukta 2002). For aggregated clay soil however, Loch and Rosewell (1992) identified that this approach significantly underestimates K factor estimates. In response to this, Rosewell and Loch (2002) recommend that, wherever possible, non-dispersed particle size data (Method 516.01, Rosewell 2002) be used in conjunction with the modified approach outlined in Method 528.01 (Rosewell and Loch 2002) to more accurately estimate K factor with such soils. In situations where only dispersed particle size data is available, Loch and Rosewell (1992) report considerable improvement in the prediction of K factor values when the wet density of eroded sediment is taken into account. They recommend adjustment of traditionally derived K factor values in such cases, by incorporating wet density estimates to better reflect expected erosive behaviour. The approach calculates a modified K factor (Km) for aggregated clay soils, based on the assumption that eroded aggregates from soils in the initial soil erodibility study of Wischmeier et al. (1971) had wet densities (di) close to 2.0 mg/m3 (R Loch 2018, personal communication). The majority of soil characteristics measured on Auvergne meet the criteria for calculating standard nomograph based K factor values using dispersed particle size data. A small number of aggregated, vertic clay soils required further adjustment using the modified K factor calculation of Loch and Rosewell (1992). K factor data inputs Initial nomograph based K factor calculations (prior to modification) require measures or estimates of the following: organic matter (OM %) in the surface soil (0-0.10 m) (Rayment and Lyons 2011); dispersed particle size data (PSA) in the surface soil (0-0.10 m) (Bowman and Hukta 2002); field estimates of surface soil structure (A1 horizon) (NCST 2009); field estimates of profile permeability (using least permeable soil horizon) (NCST 2009); field estimates of profile gravel content based on modal land unit data (NCST 2009). Profile morphology and laboratory data, used in the estimation of K factor values, is presented in Appendix 2. All calculations and assumptions are in accordance with the methodology and rationale of Rosewell and Loch (2002); and the inherent soil erodibility classes are presented in Table 2. K factor assumptions and decision rules 1. Dispersed PSA fine sand fraction (0.02-0.2 mm) (Bowman and Hutka 2002) was partitioned into arbitrary very fine sand (vfs 0.02-0.1 mm) and fine sand (fs 0.1-0.2 mm) sub-fractions. K factor calculations assume 70% of the laboratory measured fine sand fraction (0.020.2 mm) is attributable to the very fine sand range (0.02 0.1 mm) (Rosewell and Loch 2002). 2. Estimates of organic matter (OM %) were derived from laboratory measured organic carbon (OC %) data using a standard conversion ratio of 1.72 (i.e. organic C % multiplied by 1.72) (Rayment and Lyons 2011). 3. A surface structure (SS) value has been assigned to all land units based on field assessments of surface structural characteristics.

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