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Soil organic carbon prediction with terrain derivatives using geostatistics and sequential Gaussian simulation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F21%3A89188" target="_blank" >RIV/60460709:41210/21:89188 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S1658077X21000485" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1658077X21000485</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jssas.2021.04.005" target="_blank" >10.1016/j.jssas.2021.04.005</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Soil organic carbon prediction with terrain derivatives using geostatistics and sequential Gaussian simulation

  • Original language description

    This current study investigated the relationship between soil organic carbon SOC and terrain derivatives on soil developed on dissimilar lithology while comparing the best modelling approach. Sixty bulk soil samples were taken from the depth of 0 to 30 cm according to five identified basement complex materials and analyzed for SOC. The models considered are ordinary kriging OK, principal components kriging (PCA-OK) and regression kriging (RK). For the predictions accuracy, 2 fold, and leave one out cross validation was carried out. The study indicated SOC in soil developed on granite gneiss and biotite hornblende gneiss to be significantly higher than those on other lithology materials. RK improved the map structure with terrain derivatives, but the area was generally low in SOC. Model limitations showed that OK requires larger samples to improve the quality of prediction. Also, RK significant dissatisfaction is that the regression model parameters and covariance function parameters need to be estima

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    40104 - Soil science

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000845" target="_blank" >EF16_019/0000845: Centre for investigation of synthesis and transformation of nutritional substances in the food chain in interaction with potentially harmful substances of athropogenic origin: assessment of contamination risks for the quality of production</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of the Saudi Society of Agricultural Sciences

  • ISSN

    1658-077X

  • e-ISSN

  • Volume of the periodical

    20

  • Issue of the periodical within the volume

    sep

  • Country of publishing house

    SA - THE KINGDOM OF SAUDI ARABIA

  • Number of pages

    11

  • Pages from-to

    379-389

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85106303642