International Agrophysics (INT AGROPHYS)
Current impact factor: 1.14
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Publications in this journal
International Agrophysics 01/2015;
The heterogeneity of the unsaturated hydraulic conductivity and water retention was measured with a high spatial resolution on a transect using an evaporation method. Fifteen undisturbed soil cores of 10 cm height were taken every 10 cm at a potential water repellent sandy site. Five dynamic water retention curves (h) and four unsaturated conductivity curves Ku(h) were determined for each core. We conducted measurements without further saturation in the laboratory in order to achieve field-like conditions. The initial water contents were heterogeneous, indicating different hysteretic conditions and water repellent areas. The scattering of the water retention curves was high, while the heterogeneity of Ku(h) was unexpectedly low. Two different approaches of scaling were used to describe the heterogeneity: with and without considering hysteresis
The concept of scaling applies well to describing the heterogeneity of both hydraulic functions. Including hysteresis leads to similar results than excluding hysteresis. The distribution of the hydraulic conductivity and the water retention were independent from each other. The results give important information for the numerical simulation of water flow with heterogeneous hydraulic functions.
International Agrophysics 04/2014; 28, 349-358(3). DOI:10.2478/intag-2014-0025
Understanding soil spatial variability and identifying soil parameters most determinant to soil organic carbon stock is pivotal to precision in ecological modelling, prediction, estimation and management of soil within a landscape. This study investigates and describes field soil variability and its structural pattern for agricultural management decisions. The main aim was to relate variation in soil organic carbon stock to soil properties and to estimate soil organic carbon stock from the soil properties. A transect sampling of 100 points at 3 m intervals was carried out. Soils were sampled and analyzed for soil organic carbon and other selected soil properties along with determination of dry aggregate and water-stable aggregate fractions. Principal component analysis, geostatistics, and state-space analysis were conducted on the analyzed soil properties. The first three principal components explained 53.2% of the total variation; Principal Component 1 was dominated by soil exchange complex and dry sieved macroaggregates clusters. Exponential semivariogram model described the structure of soil organic carbon stock with a strong dependence indicating that soil organic carbon values were correlated up to 10.8 m. Neighbouring values of soil organic carbon stock, all water-stable aggregate fractions, and dithionite and pyrophosphate iron gave reliable estimate of soil organic carbon stock by state-space.
International Agrophysics 04/2014; 28(2):185-194. DOI:10.2478/intag-2014-0007
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