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Using magnetic susceptibility mapping for assessing soil degradation due to water erosion

Author

Listed:
  • Ondřej JAKŠÍK

    (Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic;)

  • Radka KODEŠOVÁ

    (Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic;)

  • Aleš KAPIČKA

    (Institute of Geophysics of the CAS, Prague, Czech Republic)

  • Aleš KLEMENT

    (Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic;)

  • Miroslav FÉR

    (Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic;)

  • Antonín NIKODEM

    (Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic;)

Abstract

This study focused on developing a method for estimating topsoil organic carbon content from measured mass-specific magnetic susceptibility in Chernozems heavily affected by water erosion. The study was performed on a 100 ha area, whereby 202 soil samples were taken. A set of soil samples was divided into 3 subsets: A (32 samples), B (67 samples), and C (103 samples). The mass-specific magnetic susceptibility using low (χlf) and high (χhf) frequency, and organic carbon content were measured at all soil samples. The contents of iron and manganese, extracted with a dithionite-citrate solution (Fed, Mnd) and ammonium oxalate (Feo, Mno), were quantified in A and B samples. Models for predicting organic carbon content from magnetic susceptibilities were designed as follows: (1) subset A was used as the training set for calibration, and subsets B and C were used as the test sets for model validation, either separately (subset B only), or together (merged subsets B and C); (2) merged subsets A and B were used as the training set and subset C was used as the test set. Results showed very close correlations between organic carbon content and all measured soil properties. Obtained models relating organic carbon content to mass-specific magnetic susceptibility successfully predicted soil organic carbon contents.

Suggested Citation

  • Ondřej JAKŠÍK & Radka KODEŠOVÁ & Aleš KAPIČKA & Aleš KLEMENT & Miroslav FÉR & Antonín NIKODEM, 2016. "Using magnetic susceptibility mapping for assessing soil degradation due to water erosion," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 11(2), pages 105-113.
    • Handle: RePEc:caa:jnlswr:v:11:y:2016:i:2:id:233-2015-swr
    DOI: 10.17221/233/2015-SWR
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    References listed on IDEAS

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    1. Šárka DLOUHÁ & Eduard PETROVSKÝ & Aleš KAPIČKA & Luboš BORŮVKA & Christopher ASH & Ondřej DRÁBEK, 2013. "Investigation of polluted alluvial soils by magnetic susceptibility methods: a case study of the Litavka River," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 8(4), pages 151-157.
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