In contrast to that, both parameters showed a relatively low heterogeneity (nugget to sill ratio of ≥0.67) whereas most soil parameter were characterized by a moderate or strong spatial dependency (nugget to sill ratio down to 0.2 as for microbial biomass C) and by relatively low range values (down to 37 m as for ergosterol and microbial biomass C), respectively.
The statistical Gamma test was utilized to identify the most influential soil parameters on BD.
The most sensitive soil parameter controlling penetration progress per stroke is the ultimate static bearing capacity of the ground.
The TG data, using 10 °C temperature range steps, allowed reasonable prediction of most soil properties and parameters, with R2 ranging from 0.4 to 0.9 and with R2 ≥ 0.6 for 6 of the 8 parameters evaluated.
Traditional non-tillage crop management (between 5 and 7 years without ploughing) produced a clear depth distribution of most soil chemical and biological parameters in five-year-old alfalfa crops.
Soil parameters most affected by slash/mulch fallow systems included soil total N, available N (ammonium and nitrate), exchangeable cations (K, Ca, Mg and Al), amount of P in light fraction, soil bulk density and air permeability, and soil macrofauna diversity.
Although most of the measured soil parameters differed significantly according to one or more treatment factors, none of the observed patterns suggested a logical causal link to the effects of the soil treatments on plant and/or aphid characteristics.
The observed changes in the soil parameters were most noticeable in the soil layer 0 10 cm, but less intense than those observed in the in vitro experimentation (Table 3).
Finally, a sensitivity analysis using First-Order-Second-Moment (FOSM) method indicated that cohesion influences the load capacity of the poles most significantly compared to other soil parameters such as friction angle, unit weight and shear modulus for the chosen soil type and available soil exploration data.
In this paper, a simplified probabilistic method is proposed in which the inherent variability of the coefficient of consolidation, which is the most significant uncertain soil parameter that affects the consolidation process, is considered.
