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Using secondary information sources to improve the within-field soil textural mapping in a layered alluvial soil

Author
Organization
Abstract
To evaluate the potential for precision agriculture, we explored the usefulness of secondary information to improve soil texture mapping. Our study area was an 11.5 ha field in a polder area where soils are known to be spatially heterogeneous, especially in the subsoil. Apparent electrical conductivity (ECa) was measured with an EM38DD electromagnetic induction instrument. The geometric mean of the ECa measured in both vertical and horizontal orientations showed a strong correlation with subsoil clay content (r = 0.89), but the correlation was less with the topsoil clay content (r = 0.36). Therefore another secondary information source was used to support the mapping of the topsoil clay content: the gravimetric water content at wilting point (theta g ((-1.5) (MPa))) which showed a much stronger correlation (r = 0.92) with the clay content. Thereafter, topsoil and subsoil clay maps were obtained using 23 clay analyses, 77 theta g ((-1.5 MPa)) and 4048 ECa measurements and employing standardized ordinary co-kriging. Finally, three potential management zones were identified based on both top and subsoil clay content. This study indicated the importance of including the subsoil variability to delineate potential management zones.
Keywords
within-field scale soil mapping, electromagnetic induction, apparent electrical conductivity, geostatistical interpolation, potential management zones

Citation

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MLA
Vitharana, WAU, et al. “Using Secondary Information Sources to Improve the Within-Field Soil Textural Mapping in a Layered Alluvial Soil.” Precision Agriculture ’05, edited by JV Stafford, Wageningen Academic Publishers, 2005, pp. 425–32.
APA
Vitharana, W., Van Meirvenne, M., & Cockx, L. (2005). Using secondary information sources to improve the within-field soil textural mapping in a layered alluvial soil. In J. Stafford (Ed.), Precision agriculture ’05 (pp. 425–432). Wageningen, The Netherlands: Wageningen Academic Publishers.
Chicago author-date
Vitharana, WAU, Marc Van Meirvenne, and Liesbet Cockx. 2005. “Using Secondary Information Sources to Improve the Within-Field Soil Textural Mapping in a Layered Alluvial Soil.” In Precision Agriculture ’05, edited by JV Stafford, 425–32. Wageningen, The Netherlands: Wageningen Academic Publishers.
Chicago author-date (all authors)
Vitharana, WAU, Marc Van Meirvenne, and Liesbet Cockx. 2005. “Using Secondary Information Sources to Improve the Within-Field Soil Textural Mapping in a Layered Alluvial Soil.” In Precision Agriculture ’05, ed by. JV Stafford, 425–432. Wageningen, The Netherlands: Wageningen Academic Publishers.
Vancouver
1.
Vitharana W, Van Meirvenne M, Cockx L. Using secondary information sources to improve the within-field soil textural mapping in a layered alluvial soil. In: Stafford J, editor. Precision agriculture ’05. Wageningen, The Netherlands: Wageningen Academic Publishers; 2005. p. 425–32.
IEEE
[1]
W. Vitharana, M. Van Meirvenne, and L. Cockx, “Using secondary information sources to improve the within-field soil textural mapping in a layered alluvial soil,” in Precision agriculture ’05, Uppsala, Sweden, 2005, pp. 425–432.
@inproceedings{405626,
  abstract     = {{To evaluate the potential for precision agriculture, we explored the usefulness of secondary information to improve soil texture mapping. Our study area was an 11.5 ha field in a polder area where soils are known to be spatially heterogeneous, especially in the subsoil. Apparent electrical conductivity (ECa) was measured with an EM38DD electromagnetic induction instrument. The geometric mean of the ECa measured in both vertical and horizontal orientations showed a strong correlation with subsoil clay content (r = 0.89), but the correlation was less with the topsoil clay content (r = 0.36). Therefore another secondary information source was used to support the mapping of the topsoil clay content: the gravimetric water content at wilting point (theta g ((-1.5) (MPa))) which showed a much stronger correlation (r = 0.92) with the clay content. Thereafter, topsoil and subsoil clay maps were obtained using 23 clay analyses, 77 theta g ((-1.5 MPa)) and 4048 ECa measurements and employing standardized ordinary co-kriging. Finally, three potential management zones were identified based on both top and subsoil clay content. This study indicated the importance of including the subsoil variability to delineate potential management zones.}},
  author       = {{Vitharana, WAU and Van Meirvenne, Marc and Cockx, Liesbet}},
  booktitle    = {{Precision agriculture '05}},
  editor       = {{Stafford, JV}},
  isbn         = {{90-76998-69-8}},
  keywords     = {{within-field scale soil mapping,electromagnetic induction,apparent electrical conductivity,geostatistical interpolation,potential management zones}},
  language     = {{eng}},
  location     = {{Uppsala, Sweden}},
  pages        = {{425--432}},
  publisher    = {{Wageningen Academic Publishers}},
  title        = {{Using secondary information sources to improve the within-field soil textural mapping in a layered alluvial soil}},
  year         = {{2005}},
}

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