engleski

Mapping of soil chemical properties immediately after fire in Mediterranean Croatia

Wildfires are a common occurrence in the Mediterranean and geostatistical methods offer the opportunity to effectively monitor their impacts on various soil properties. The goal of this study was to compare Inverse distance weighting with the power of one and two, Ordinary kriging and Empirical Bayesian kriging to determine the most accurate interpolation method for mapping the soil pH, electrical conductivity and organic matter content after a wildfire in Mediterranean Croatia. The results suggested that Ordinary kriging would be the optimal choice for soil pH, while Empirical Bayesian kriging proved more accurate for soil electrical conductivity and organic matter content.

Soil organic matter ; wildfire ; spatial variability ; geostatistics ; GIS

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