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Pedotransfer Functions for Bulk Density Estimation of Forest Soils

Milan Kobal ; Slovenian Forestry Institute, Večna pot 2, SI-1000 Ljubljana
Mihej Urbančić ; Slovenian Forestry Institute, Večna pot 2, SI-1000 Ljubljana
Nenad Potočić orcid id ; Hrvatski šumarski institut Jastrebarsko
Bruno De Vos ; Research Institute for Nature and Forest, Gaverstraat 4, B-9500 Geraardsbergen, Belgium
Primož Simončić ; Slovenian Forestry Institute, Večna pot 2, SI-1000 Ljubljana

Puni tekst: engleski pdf 368 Kb

str. 19-27

preuzimanja: 720



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 (.b) 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 .b. 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 36.0 g/kg). Nearly 80 % of the variability in .b is explained with segmented re­gression. The local PTF was compared with published PTFs and four valida­tions indices (MPE, SDPE, RMSPE and R2) confirmed the highest prediction quality of the local PTF. The differences of carbon stock (Cpool) 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.

Ključne riječi

carbon stock Cpool, forest soil, organic carbon OC, pedotransfer function PTF, segmented regression

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Podaci na drugim jezicima: hrvatski

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