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    Tytuł:
    Development of pedotransfer functions for predicting soil bulk density : a case study in Indonesian small island
    Autorzy:
    Yanti, Evi Dwi
    Mulyono, Asep
    Djuwansah, Muhammad Rahman
    Narulita, Ida
    Putra, Risandi Dwirama
    Surinati, Dewi
    Powiązania:
    https://bibliotekanauki.pl/articles/2048512.pdf
    Data publikacji:
    2021
    Wydawca:
    Instytut Technologiczno-Przyrodniczy
    Tematy:
    bulk density
    multiple linear regression
    pedotransfer function
    soil property
    Opis:
    Unlike many other countries, tropical regions such as Indonesia still lack publications on pedotransfer functions (PTFs), particularly ones dedicated to the predicting of soil bulk density. Soil bulk density affects soil density, porosity, water holding capacity, drainage, and the stock and flux of nutrients in the soil. However, obtaining access to a laboratory is difficult, time-consuming, and costly. Therefore, it is necessary to utilise PTFs to estimate soil bulk density. This study aims to define soil properties related to soil bulk density, develop new PTFs using multiple linear regression (MLR), and evaluate the performance and accuracy of PTFs (new and existing). Seven existing PTFs were applied in this study. For the purposes of evaluation, Pearson’s correlation (r), mean error (ME), root mean square error (RMSE), and modelling efficiency (EF) were used. The study was conducted in five soil types on Bintan Island, Indonesia. Soil depth and organic carbon (SOC) are soil properties potentially relevant for soil bulk density prediction. The ME, RMSE, and EF values were lower for the newly developed PTFs than for existing PTFs. In summary, we concluded that the newly developed PTFs have higher accuracy than existing PTFs derived from literature. The prediction of soil bulk density will be more accurate if PTFs are applied directly in the area that is to be studied.
    Źródło:
    Journal of Water and Land Development; 2021, 51; 181-187
    1429-7426
    2083-4535
    Pojawia się w:
    Journal of Water and Land Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Szacowanie gęstości objętościowej gleb górskich na podstawie zawartości węgla organicznego
    Estimation of bulk density of the mountain soils from the organic carbon content
    Autorzy:
    Kabała, C.
    Gałka, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/985683.pdf
    Data publikacji:
    2019
    Wydawca:
    Polskie Towarzystwo Leśne
    Tematy:
    gleboznawstwo
    gleby gorskie
    gleby lesne
    zawartosc wegla organicznego
    gestosc objetosciowa
    szacowanie
    forest soils
    mountain soils
    bulk density
    pedotransfer function
    organic carbon
    Opis:
    The missing data on bulk density make impossible the calculations of soil water retention, organic carbon pools and evaluation of the numerical indices of soil and forest habitat fertility and potential productivity. A common reason of skipping of bulk density measurement is the high content of rock fragments in soil, in particular in the subsoil layers, that may hamper the collection of samples with undisturbed soil structure. The aim of present study was to analyse the relationships between bulk density and basic properties of mountain soils, where the problem of high skeleton content is relatively common, selection of the properties of the largest impact on the soil bulk density, and the fitting of the mathematical model (equation) that allows the prediction of soil bulk density at the highest available statistical significance. Forest soils in the Sudeten Mountains and the Sudeten Foreland, SW Poland (total number of samples N=580), situated on various bedrocks (granite, basalts, gneiss, mica schists, sandstones, mudstones, etc.) were selected to analysis. It was found in those soils featured by large variability of soil texture (the range of clay content 0−40%), skeleton content (0−74%), and organic carbon content (0.09−50%) in the soil profile, that the bulk density (having the values 0.10−1.87 g/cm3 in mineral layers and 0.04−0.58 g/cm3 in organic/litter layers) was individually correlated with the organic carbon content, skeleton content, clay content, and the depth of sampling (depth of particular soil layer), but the multifactor analysis has shown, that the organic carbon content has the highest impact on the bulk density and the organic carbon alone is sufficient for reliable prediction of soil bulk density. The best fitting of the measured and predicted bulk densities (R2=0.83) was provided by ‘dose−response’ Hill model: dv=1.72–[(2.36·Corg0.6)/(13.80.6+Corg0.6)], that returned dv values between 0.10 and 1.72 g/cm3 in a range of Corg content between 50 and 0%.
    Źródło:
    Sylwan; 2019, 163, 04; 320-327
    0039-7660
    Pojawia się w:
    Sylwan
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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