Plant Soil Environ., 2004, 50(8):352-357 | DOI: 10.17221/4043-PSE

Processing of conventional soil survey data using geostatistical methods

V. Penížek, L. Borůvka
Czech University of Agriculture in Prague, Czech Republic

The aim of this study is to find a suitable treatment of conventional soil survey data for geostatistical exploitation. Different aims and methods of a conventional soil survey and the geostatistics can cause some problems. The spatial variability of clay content and pH for an area of 543 km2 was described by variograms. First the original untreated data were used. Then the original data were treated to overcome the problems that arise from different aims of conventional soil survey and geostatistical approaches. Variograms calculated from the original data, both for clay content and pH, showed a big portion of nugget variability caused by a few extreme values. Simple exclusion of data representing some specific soil units (local extremes, non-zonal soils) did not bring almost any improvement. Exclusion of outlying values from the first three lag classes that were the most influenced due to a relatively big portion of these extreme values provided much better results. The nugget decreased from pure nugget to 50% of the sill variability for clay content and from 81 to 23% for pH.

Keywords: conventional soil survey; geostatistics; data processing; spatial variability

Published: August 31, 2004  Show citation

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Penížek V, Borůvka L. Processing of conventional soil survey data using geostatistical methods. Plant Soil Environ. 2004;50(8):352-357. doi: 10.17221/4043-PSE.
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References

  1. Frogbrook Z.L., Oliver M.A., Salahi M., Ellis R.H. (2002): Exploring the spatial relations between cereal yield and soil chemical properties and the implications for sampling. Soil Use Manage., 18: 1-9. Go to original source...
  2. Groenigen J.W. van (2000): Constrained optimalisation of spatial sampling: a geostatistical approach. ITC Publ. Ser., Wageningen.
  3. Groenigen J.W. van, Gandah M., Bouma J. (2000): Soil sampling strategies for precision agriculture research under sahelian conditions. Soil Sci. Soc. Am. J., 64: 1674-1680. Go to original source...
  4. Hengl T. (2003): Pedometric mapping: bridging the gaps between conventional and pedometrical approaches. [Ph.D. Thesis.] The Wageningen Univ.
  5. Lloyd Ch.D., Atkinson P.M. (1998): Scale and the spatial structure of landform: optimizing sampling strategies with geostatistics. http://www.ai-geostats.org/papers [cit. 2004-01-15].
  6. Němeček J., Damaška J., Hraško J., Bedrna Z., Zuska V., Tomášek M., Kalenda M. (1967): Soil survey of agricultural lands of Czechoslovakia. 1 st Part. MZVZ, Praha. (In Czech)
  7. Oliver M.A., Webster R. (1991): How geostatistics can help you. Soil Use Manage., 7: 206-217. Go to original source...
  8. Robertson G.P. (2000): GS+: Geostatistics for the environmental sciences. Gamma Design Software, Plainwell, Michigan, USA.
  9. Stein A., Bastiaanssen W.G.M., Bruin S. de, Cracknell A.P., Curran P.J., Fabbri A.G., Gorte B.G.H., Groenigen J.W. van, Meer F.D. van der, Saldana A. (1998): Integrating spatial statistics and remote sensing. Int. J. Remote Sens., 19: 1793-1814. Go to original source...
  10. Webster R. (1977): Quantitative and numerical methods in soil classification and survey. Clarendon Press, Oxford.
  11. Webster R., Oliver M.A. (2000): Geostatistics for environmental scientists. John Wiley & Sons, Chichester.
  12. Wollenhaupt N.C., Mulla D.J., Gotway-Crawford C.A. (1997): Soil sampling and interpolation techniques for mapping spatial variability of soil properties. In: Pierce F.J., Sadler E.J. (eds.) (1995): Symp. The state of site specific management for agriculture, St. Louis, Missouri: 19-53. Go to original source...

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