Topsoil texture maps based on calibration of soil electrical conductivity with soil datasets varying in size

• Authors: Michał Konrad Stępień , Dariusz Gozdowski , Elżbieta Bodecka , Joanna Groszyk , Jan Rozbicki , Stanisław Samborski
• Languages of publication: EN

Abstracts

EN

The purpose of the study was to verify the possibility of creation of reliable soil texture class (STC) maps of a topsoil based on a linear calibration of shallow (0-30cm) soil electrical conductivity (ECsh) with small datasets of soil samples with laboratory determined STC . ECsh values were calibrated against four datasets of soil samples. The smallest datasets (5-6 soil samples per field) were selected: 1) in an arbitrary way; or 2) based on the quartiles of ECsh values. A dataset of an intermediate size (11-17 points) and a full dataset of all ST data available (33-38 points) were also tested. For one field, the calibration with ECsh quartiles produced STC maps with greater agreement with field's status than the complete dataset of laboratory results. Although, the root mean square errors and mean absolute errors were greater for quartiles than for the other datasets. The ECsh values depended on the content of fine soil (<2 mm) fractions to a depth of 90 cm, so ECsh measurements are efficient in mapping the topsoil texture of fields with relatively uniform texture in subsoil. The datasets, which produced lower values of errors did not always permit to prepare more accurate STC maps. 

Keywords

EN

electrical conductivity; soil texture; calibration; linear regression; topsoil

• Publisher: Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
• Journal: Polish Journal of Soil Science
• Year: 2017
• Volume: 50
• Issue: 2

Dates

published

2017

online

15 - 01 - 2018

Contributors

author

Michał Konrad Stępień

author

Dariusz Gozdowski

author

Elżbieta Bodecka

author

Joanna Groszyk

author

Jan Rozbicki

author

Stanisław Samborski

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Identifiers

DOI

10.17951/pjss.2017.50.2.265