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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985530%3A_____%2F16%3A00458600" target="_blank" >RIV/67985530:_____/16:00458600 - isvavai.cz</a>

Alternative codes found

RIV/60460709:41210/16:70284

Result on the web

<a href="http://dx.doi.org/10.17221/233/2015-SWR" target="_blank" >http://dx.doi.org/10.17221/233/2015-SWR</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17221/233/2015-SWR" target="_blank" >10.17221/233/2015-SWR</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

DE - Earth magnetism, geodesy, geography

OECD FORD branch

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Project

<a href="/en/project/QJ1230319" target="_blank" >QJ1230319: Soil water regime within a sloping agricultural area</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Soil & Water Research

ISSN

1801-5395

e-ISSN

—

Volume of the periodical

11

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

9

Pages from-to

105-113

UT code for WoS article

000376055300005

EID of the result in the Scopus database

2-s2.0-84964319029