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- W1965261922 abstract "The application of computer-based numerical methods and Adansonian concepts shows considerable promise in the grouping of certain soil units into groups or sets. In this paper relationships between 43 sites with deep sandy soils sampled from southern Australia have been determined using all variant field and laboratory data available for the surface layer. Information on 28 variant characters was available for the soil surface layer (0–8 cm) at these sites. The qualitative and semi-quantitative date was ranked and, with the quantitative data, was then standardized (zero mean, unit variance). Product-moment correlation coefficients were determined between each pair of soils and a similarity matrix formed. Grouping was carried out using a flexible sorting procedure. Additional statistical analyses of subsurrface characters and an inverse analysis showing relationships between characters were also carried out. Four main groups were delineated and these show a geographical pattern indicating that the character patterns on which the affinities are based are associated largely with geographical location. Two main character clusters were found, the first comprising chroma (wet and dry), iron, exchangeable potassium, manganese, pH and phosphorus; and the second phosphorus, nitrogen, cation exchange capacity, exchangeable calcium, exchangeable magnesium and value (wet and dry). the first cluster appears to be associated with either parent material or climate, the second with soil organic matter. The fact that phosphorus is included in both clusters emphasizes the important role of this element in these soils. Only a very broad relationship existed between vegetation and groups of sites delineated on the basis of soil characters." @default.
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- W1965261922 date "1967-09-01" @default.
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- W1965261922 title "Use of a numerical method in determining affinities between some deep sandy soils" @default.
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- W1965261922 doi "https://doi.org/10.1016/0016-7061(67)90014-6" @default.
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