Spatial relationship between soil hydraulic and soil physical properties in a farm field

Canadian Journal of Soil Science

Volumn 89, Issue 4, 2009, Pages 473-488

  Biswas, Asim ^a   Si, Bing Cheng ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

Geostatistics; Linear coregionalization model; Pedotransfer function; Principal component analysis; Spatial relationship

Indexed keywords

HYDRAULIC CONDUCTIVITY; HYDRAULIC PROPERTY; PEDOTRANSFER FUNCTION; PHYSICAL PROPERTY; RETENTION; SOIL MOISTURE; SOIL PROPERTY; SOIL WATER;

CANADA; NORTH AMERICA; SASKATCHEWAN; SMEATON;

EID: 68949100385     PISSN: 00084271     EISSN: None     Source Type: Journal    
DOI: 10.4141/cjss08052     Document Type: Article

References (68)

1. Anderson, D. W. and Ellis, J. G. 1976. The soils of the provincial forest reserves in Prince Albert map area. Extension Publication 261, Saskatoon, SK.
2. Ankeny, M. D. 1992. Methods and theory for unconfmed infiltration measurements. Pages 123-141 in G. C. Topp et al. eds. Advances in measurements of soil physical properties: Bringing theory into practice. SSSA Spec. Publ. 30. SSSA, Madison, WI.
3. Attila N., Rawls, J. W. and Pachepsky, Y. A. 2005. Influence of organic matter on the estimation of saturated hydraulic conductivity. Soil Sci. Soc. Am. J. 69: 1330-1337.
4. Baveye, P. and Boast, C. W. 1999. Physical scales and spatial predictability of transport processes in the environment. Pages 261-280 in D. L. Corwin, ed. Assessment of non-point source pollution in the vadose zone. Geophysical Monogr. 108. American Geophysical Union, Washington, DC.
5. Beare, M. H., Hendrix, P. F. and Coleman, D. C. 1994. Water stable aggregates and organic matter functions in conventional and no-tillage soils. Soil Sci. Soc. Am. J. 58: 777-786.
6. Bosch, D. D. and West, L. T. 1998. Hydraulic conductivity variability of two sandy soils. Soil Sci. Soc. Am. J. 62:90-98.
7. Bouma, J. 1989. Using soil survey data for quantitative land evaluation. Adv. Soil Sci. 9: 177-213.
8. Brillinger, D. R. 2001. Time series: Data analysis and theory. Soc. Ind. Appl. Math. Philadelphia, PA. p. 540.
9. Burrough, P. A. 1983. Problems of superimposed effects in the statistical study of the spatial variation of soil. Agric. Water Manag. 6: 123-143.
10. Cambardella, C. A., Moorman, T. B., Novak, J. M., Parkin, T. B., Karlen, D. L., Turco, R. F. and Konopka, A. E. 1994. Field scale variability of soil properties in central Iowa soils. Soil Sci. Soc. Am. J. 58: 1501-1511.
11. Canadian Society of Soil Science. 1998. The Canadian system of soil classification. NRC Research Press, Ottawa, ON.
12. Castrignanó, A., Giugliarini, L., Risaliti, R. and Martinelli, N. 2000. Study of spatial relationships among some soil properties of a field in central Italy using multivariate geostatistics. Geoderma 97: 39-60.
13. Cressie, N. 1985. Fitting variogram models by weighted least squares. J. Int. Assoc. Math. Geol. 17: 563-586.
14. Deutsch, C. V. and Journel, A. G. 1998.GSLIB Geostatistical software library and user's guide. 2nd ed. Oxford University Press, New York, NY.
15. Elrick, D. E. and Reynolds, W. D. 1992. Infiltration from constant-head well permeameters and infiltrometers. Pages 1-24 in G. C. Topp et al. eds. Advances in measurements of soil physical properties: Bringing theory into practice. SSSA Spec. Publ. 30. SSSA, Madison, WI.
16. Fagroud, M. and Van Meirvenne, M. 2002. Accounting for soil spatial correlation in the design of experimental trails. Soil Sci. Soc. Am. J. 66: 1134-1142.
17. Gajem, Y. M., Warrick, A. W. and Myers, D. E. 1981. Spatial dependence of physical properties of a Typic Torrifluvent soil. Soil Sci. Soc. Am. J. 45: 709-715.
18. Gee, G. W. and Bauder, J. W. 1986. Particle size analyses. In A. Klute, ed. Method of soil analyses. Part 1: Physical and mineralogical methods. ASA, Madison, WI.
19. Goovaerts, P. 1993. Spatial orthogonality of the principal components computed from coregionalized variables. Math. Geol. 25: 281-302.
20. Goovaerts, P. 1994. Study of spatial relationship between two sets of variables using multivariate geostatistics. Geoderma 62: 93-107.
21. Goovaerts, P. 1997. Geostatistics for natural resources evaluation. Oxford University Press, New York, NY.
22. Goovaerts, P. 1998. Geostatistical tools for characterizing the spatial variability of microbiological and physio-chemical soil properties. Biol. Fertil. Soils 27: 315-334.
23. Goovaerts, P. and Chiang, C. N. 1993. Temporal persistence of spatial patterns for mineralizable nitrogen and selected soil properties. Soil Sci. Soc. Am. J. 57: 372-381.
24. Goulard, M. and Voltz, M. 1992. Linear coregionalization model: Tools for estimation and choice of cross variogram matrix. Math. Geol. 24: 269-286.
25. Isaaks, E. H. and Srivastava, R. M. 1989. An introduction to applied geostatistics. Oxford University Press, New York, NY.
26. Jacquier, D. and McKenzie, N. 1997. Improving the field estimation of saturated hydraulic conductivity in soil survey. Aust. J. Soil Res. 35: 803-827.
27. Kachanoski, R. G., Rolston, D. E. and de Jong, E. 1985. Spatial and spectral relationship of soil properties and microtopogra-phy. I. Density and thickness of A horizon. Soil Sci. Soc. Am. J. 49: 804-812.
28. Klute, A. and Dirksen, C. 1986. Hydraulic conductivity and diffusivity: laboratory methods. Pages 687-734 in A. Klute, ed. Method of soil analyses. Part 1: Physical and mineralogical methods. ASA, Madison, WI.
29. Koopmans, L. H. 1974. The spectral analysis of time series. Academic Press, New York, NY.
30. Kravchenko, A. N., Boast, C. W. and Bullock, D. G. 1999. Multifractal analyses of soil properties. Agron. J. 91: 1033-1041.
31. Lambert, D. M., Lowenberg-Debeor, J. and Bongiovanni, R. 2004.A comparison of four spatial regression models for yield monitor data: a case study from Argentina. Precis. Agric. 5: 579-600.
32. Lin, H. 2003. Hydropedology: Bridging disciplines, scales and data. Vadose Zone J. 2: 1-11.
33. Logsdon, S. D. 2002. Determination of preferential flow model parameters. Soil Sci. Soc. Am. J. 66: 1095-1103.
34. Matheron, G. 1962. Traité de geostatistique appliqué. Tome 1. Memoires du Bureau de Recherches Géologiques et Miniéres, Paris.
35. McBratney, A. B. 1998. Some considerations on methods of spatially aggregating and disaggregating soil information. Nutr. Cycling Agroecosys. 50: 51-62.
36. Minasny, B., McBratney, A. B. and Bristow, K. L. 1999. Comparison of different approaches to the development of pedotransfer functions for water retention curves. Geoderma 93: 225-253.
37. Moustafa, M. M. 2000.A Geostatistical approach to optimize the determination of saturated hydraulic conductivity for large scale sub-surface drainage design in Egypt. Agric. Water Manage. 42: 291-312.
38. Natural Resources Canada. 2001.[Online] Available: http://z.about.com/d/gocanada/l/0/S/2/-/-/Saskatchewan-map.jpg.
39. Nemes, A., Schaap, M. G. and Wösten, J. H. M. 2003. Functional evaluation of pedotransfer functions derived from different scales of data collection. Soil Sci. Soc. Am. J. 67: 1093-1102.
40. Nielsen, D. R. and Wendroth, O. 2003. Spatial and temporal statistics: sampling field soil and their vegetation. Catena Verlag, Reiskirchen, Germany.
41. Papritz, A. and Dubois, J. P. 1999. Mapping heavy metals in soil by (non-) linear kriging: an empirical validation. Pages 429-440 in J. Gómez-Herńandez et al. eds. geoENV II-Geostatistics for environmental applications. Kluwer Academic Publ., Dordrecht, the Netherlands.
42. Parasuraman, K., Elshorbagy, A. and Si, B. C. 2006. Estimating saturated hydraulic conductivity in spatially variable field using neutral network ensembles. Soil Sci. Soc. Am. J. 70: 1851-1859.
43. Pardo-Igúzquiza, E. and Dowd, P. A. 2002.FACTOR2D: a computer program for factorial cokriging. Comp. Geosci. 28: 857-875.
44. Prakash, M. R. and Singh, V. S. 2000. Network for ground water monitoring - a case study. Environ. Geol. 39: 628-632.
45. Rawls, W. J., Gish, T. J. and Brakensiek, D. L. 1991. Estimating soil water retention from soil physical properties and characteristics. Adv. Soil Sci. 9: 213-234.
46. Reynolds W. D., Elrick, D. E., Youngs, E. G., Booltink, H. W. G. and Bouma, J. 2002. Saturated and field saturated water flow parameters. In J. H. Dane and G.C. Topp, eds. Methods of soil analysis. Part 4. Physical methods. SSSA, Madison, WI.
47. Romano, N. and Palladino, M. 2002. Prediction of soil water retention using soil physical data and terrain attributes. J. Hydrol. 265: 56-75.
48. Shu, Q., Liu, Z. and Si, B. C. 2008. Characterizing scale and location dependent correlation of water retention parameters with soil physical properties using wavelet techniques. J. Environ. Qual. 37: 2284-2292.
49. Shumway, R. H. and Stoffer, D. S. 2000. Time series analysis and its applications. Springer, New York, NY.
50. Si, B. C. 2008. Spatial scaling analysis of soil physical properties: a review of spectral and wavelet methods. Vadose Zone J. 7: 547-562.
51. Si, B. C. and Farrell, R.E. 2004. Scale dependent relationships between wheat yield and topographic indices: A wavelet approach. Soil Sci. Soc. Am. J. 68: 577-588.
52. Si, B. C. and Zeleke, T. B. 2005. Wavelet coherency analysis to relate saturated hydraulic properties to soil physical properties, Water Resour. Res. 41: W11424, Doi; 10.1029/2005WR004118, 2005.
53. Si, B. C., Kachanoski, R. G. and Reynolds, W. D. 2008. Analysis of soil variability. Pages 1163-1191 in M. R. Carter and E. G. Gregorich, ed. Soil sampling and methods of analysis. CRC Press, Boca Raton, FL.
54. Sobieraj, J. A., Elsenbeer, H. and Cameron, G. 2004. Scale dependency in spatial patterns of saturated hydraulic conductivity. Catena 55: 49-77.
55. Sposito, G. 1998. Scale dependence and scale invariance in hydrology. Cambridge University Press, Cambridge, UK.
56. Statsoft. 2003.[Online] Available: http://www.statsoft.com/ textbook/stfacan.html.
57. Tietje, O. and Hennings, V. 1996. Accuracy of the saturated hydraulic conductivity prediction by pedotransfer function compared to the variability within FAO textural classes. Geoderma 69: 71-84.
58. Tsegaye, T. and Hill, R. L. 1998. Intensive tillage effects on spatial variability of soil physical properties. Soil Sci. 163: 143-154.
59. van Genuchten, M. T. 1980.A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci. Soc. Am. J. 44: 892-898.
60. Viera, S. R., Hatfleld, J. L., Nielsen, D. R. and Biggar, J. W. 1982. Geostatistical theory and application to variability of some agronomical properties. Hilgardia 51: 1-75.
61. Webster, R. 1977. Spectral analysis of gilgai soil. Aust. J. Soil Res. 15: 191-204.
62. Webster, R., Atteia, O. and Dubois, J. P. 1994. Coregionalization of trace metals in the soil of Swiss Jura. Eur. J. Soil Sci. 45: 205-218.
63. Wösten, J. H. M., Lilly, A., Nemes, A. and Le Bas, C. 1999. Development and use of a database of hydraulic properties of European soils. Geoderma 90: 169-185.
64. Yates, T. T., Si, B. C., Farrell, R. E. and Pennock, D. J. 2006. Wavelet spectra of nitrous oxide emission from hummocky terrain during spring snowmelt. Soil Sci. Soc. Am. J. 70: 1110-1120.
65. Yates, T. T., Si, B. C., Farrell, R. E. and Pennock, D. J. 2007. Time, location, and scale dependence of soil nitrous oxide emission, water, and temperature using wavelet coherency analysis: J. Geophys. Res. 112: D09104, doi:10.1029/2006JD007662.
66. Zeleke, T. B. and Si, B. C. 2004. Scaling properties of topographic indices and crop yield: multifractal and joint multifractal approaches. Agron. J. 96: 1082-1090.
67. Zeleke, T. B. and Si, B. C. 2005. Scaling relationships between saturated hydraulic conductivity and soil physical properties. Soil Sci. Soc. Am. J. 69: 1691-1702.
68. Zeleke, T. B. and Si, B. C. 2006. Characterizing scale dependent spatial relationships between soil properties using multifractal techniques. Geoderma 134: 440-452.