Počet záznamů: 1  

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

  1. 1.
    SYSNO ASEP0458600
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevUsing magnetic susceptibility mapping for assessing soil degradation due to water erosion
    Tvůrce(i) Jakšík, O. (CZ)
    Kodešová, R. (CZ)
    Kapička, Aleš (GFU-E) ORCID, RID
    Klement, A. (CZ)
    Fér, M. (CZ)
    Nikodém, A. (CZ)
    Zdroj.dok.Soil & Water Research. - : Česká akademie zemědělských věd - ISSN 1801-5395
    Roč. 11, č. 2 (2016), s. 105-113
    Poč.str.9 s.
    Forma vydáníTištěná - P
    Jazyk dok.eng - angličtina
    Země vyd.CZ - Česká republika
    Klíč. slovaarable land ; geomorphologically diverse areas ; Chernozem
    Vědní obor RIVDE - Zemský magnetismus, geodézie, geografie
    CEPQJ1230319 GA MZe - Ministerstvo zemědělství
    Institucionální podporaGFU-E - RVO:67985530
    UT WOS000376055300005
    EID SCOPUS84964319029
    DOI10.17221/233/2015-SWR
    AnotaceThis 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.
    PracovištěGeofyzikální ústav
    KontaktHana Krejzlíková, kniha@ig.cas.cz, Tel.: 267 103 028
    Rok sběru2017
Počet záznamů: 1  

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