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Predictive Quality of Pedotransfer Functions for Estimating Bulk Density of Forest Soils

^a Inst. for Forestry and Game Management, Gaverstraat 4, B-9500 Geraardsbergen, Belgium
^b Dep. of Soil Management and Soil Care, Ghent Univ., Coupure 653, B-9000 Gent, Belgium
^c Lab. for Forest, Nature and Landscape Research, Katholieke Univ. Leuven, Vital Decosterstraat 102, B-3000 Leuven, Belgium

View larger version (42K): [in a new window]   Fig. 1. Performance of published pedotransfer functions for the total dataset: predicted vs. observed bulk densities (Mg m–3) with reference to the 1:1 line. Similar model types are arranged in the same row.

View larger version (16K): [in a new window]   Fig. 2. Standard deviation of the prediction error (SDPE2) vs. mean prediction error (MPE2) of the existing pedotransfer functions.

View larger version (25K): [in a new window]   Fig. 3. Validation of calibrated candidate pedotransfer functions according to model (row) and variable group (column): predicted vs. observed bulk densities (Mg m–3) with reference to the 1:1 line. Organic variables only (left), texture variables only (center), and all variables (right).

View larger version (29K): [in a new window]   Fig. 4. Overall prediction error (RMSPE) of Model C with pedotransfer functions based on loss-on-ignition (CO), texture (CT), and all significant variables (CA) as a function of depth. Error bars for CO and CT are 95% confidence intervals.