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Using magnetic susceptibility mapping for assessing soil degradation due to water erosion
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SYSNO ASEP 0458600 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Using magnetic susceptibility mapping for assessing soil degradation due to water erosion Author(s) Jakšík, O. (CZ)
Kodešová, R. (CZ)
Kapička, Aleš (GFU-E) ORCID, RID
Klement, A. (CZ)
Fér, M. (CZ)
Nikodém, A. (CZ)Source Title Soil & Water Research. - : Česká akademie zemědělských věd - ISSN 1801-5395
Roč. 11, č. 2 (2016), s. 105-113Number of pages 9 s. Publication form Print - P Language eng - English Country CZ - Czech Republic Keywords arable land ; geomorphologically diverse areas ; Chernozem Subject RIV DE - Earth Magnetism, Geodesy, Geography R&D Projects QJ1230319 GA MZe - Ministry of Agriculture (MZe) Institutional support GFU-E - RVO:67985530 UT WOS 000376055300005 EID SCOPUS 84964319029 DOI 10.17221/233/2015-SWR Annotation 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 and high 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. Workplace Geophysical Institute Contact Hana Krejzlíková, kniha@ig.cas.cz, Tel.: 267 103 028 Year of Publishing 2017
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