Year: 2011
Type: article
Abstract: The data of 45 soil profiles from a 16 × 16 km grid across Slovenia was analysed to develop a local pedotransfer function (PTF) for bulk density (ρb) estimation.In total, 106 soil horizons were considered.Concentration of organic carbon (OC) was found to be well correlated (r = -0.861,p < 0.001) with ρb.Two separate line segments were fitted to the data, which was partitioned into two intervals, based on OC content (below 36.0 g/kg and above 36.0g/kg).Nearly 80 % of the variability in ρb is explained with segmented regression.The local PTF was compared with published PTFs and four validations indices (MPE, SDPE, RMSPE and R 2 ) confirmed the highest prediction quality of the local PTF.The differences of carbon stock (C pool ) estimation, based on usage of different PTFs could be higher than 160 t OC per hectare.Prediction of carbon stocks could be substantially improved by calibration of the models coefficients with data stratified according to each unique soil type.
Language: English
Subfield: Soil Science
Domain: Life Sciences
SDG: Life on land
Open Access status: green
OpenAlex ID: W185904437