Korean Journal of Soil Science and Fertilizer (한국토양비료학회지)

Korean Society of Soil Science and Fertilizer (한국토양비료학회)
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Australian Soil Classification: an Review

  • Received : 2016.01.12
  • Accepted : 2016.02.26
  • Published : 2016.02.29
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Abstract

As a means of improving Korean Soil Classification System, we have reviewed Australian Soil Classification System by comparing Soil Taxonomy and FAO/WRB Classification System. Australian Soil Classification System is composed of 14 of Order, 87 of Sub-order, 556 of Great-group, 2,451 of Sub-group, and 7,276 of Family. Interestingly, soil order has the Anthroposols which is not classified with Soil Taxonomy, and the classification for some of soils is based on soil texture abruption horizon and soil structure. Seven of 14 soil orders are classified with an old version based on soil color rather than morphological characteristics. The distribution scale of Australian soil order is the largest in Tenosols, and followed by Kandosols, Rudosols, Sodosols and Vertisols in Australia.

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References

  1. Harms, B., D. Rees, and D. Morand. 2014. WRB and the australian soils experience. Korean J. Soil Sci. Fert. Proceeding. pp. 347-347.
  2. http://www.asris.csiro.au/mapping/viewer.htm
  3. http://www.bom.gov.au
  4. Hyun, B.K., K.C. Song, S.J. Jung, Y.K. Sonn, S.K. Lim, and S.Y. Hong. 2007. Australian soil classification. Korean J. Soil Sci. Fert. Proceeding. pp. 142-143.
  5. Isbell, R.F., W.S. McDonald, and L.J. Ashton. 1997. Concepts and rationale of the australian soil classification. CSIRO.
  6. Isbell, R.F. 2008. The Australian soil classification (Revised Edition). CSIRO.
  7. Kai, Y., and S. Cattle. 2014. Spatial distribution and bioaccessibility of lead in soil in the urban area of broken hill, new south wales, australia as affected by dust deposition and remedial works with cracker dust. Korean J. Soil Sci. Fert. Proceeding. pp. 366-366.
  8. Kidd, D., B. Malone, A. Mcbratney, B. Minasny, N. Odgers, M. Webb, and R. Searle. 2014. A new digital soil resource for tasmania, Australia. Korean J. Soil Sci. Fert. Proceeding. pp. 612-613.
  9. Knight, J., B. Minasny, A. Mcbratney, T. Koen, and B. Murphy. 2014. Long term trends in some australian soil temperature records. Korean J. Soil Sci. Fert. Proceeding. pp. 274-274.
  10. Malone, B., B. Minasny, N. Odgers, and A. Mcbratney. 2014. Model averaging for combining disaggregated analogue soil maps with those from scorpan kriging: experience from the dalrymple shire, QLD, Australia. Korean J. Soil Sci. Fert. Proceeding. pp. 493-493.
  11. Murphy, B. 2014. Estimates of the rates and processes of development of texture profiles in some Australian soils-implications for the definition of an agric horizon. Korean J. Soil Sci. Fert. Proceeding. pp. 573-573.
  12. Padarian, J., B. Minasny, A. Mcbratney, and N. Dalgliesh. 2014. Ensemble model to predict the available water capacity of Australian soils. Korean J. Soil Sci. Fert. Proceeding. pp. 618-618.
  13. Ryu S.H. 2000. Soil dictionary. Seoul National University Press.
  14. Simons, B., P. Wilson, A. Ritchie, D. Jacquier, and J. Vleeshouer. 2014. An Australian-New Zealand standard for exchange of soil and landscape data: anzsoilml V2.0. Korean J. Soil Sci. Fert. Proceeding. pp. 596-596.
  15. Singh, B.P., Y. Fang, M. Boersma., P. Matta., L. Van Zwieten., and L. M. Macdonald. 2014. In situ fate, stability and downward migration of biochar and its impact on native carbon emissions or stabilisation in Australian pasture systems. Korean J. Soil Sci. Fert. Proceeding. pp. 160-161.
  16. USDA. 2014. Keys to Soil Taxonomy(12th). USDA. NRCS.
  17. Xihua, Y., B. Yu, and M. Littleboy. 2014. Predicting rainfall erosivity and hillslope erosion across South-East Australia. Korean J. Soil Sci. Fert. Proceeding. pp. 190-191.
  18. Zund, P. and J. Payne. 2014. Soil erodibility model for the dry tropics of north-eastern Australia. Korean J. Soil Sci. Fert. Proceeding. pp. 448-448.