Again, a generalized additive model is formulated, using the transformed tree height estimate of the first stage, available soil moisture, soil nutrient class and groundwater class as predictors (see Table 3 for parameter definitions).
The WHC is related to the number and size distribution of soil pores, soil moisture content, textural class and structure, salt content and organic matter.
WHC is related to the number and size distribution of soil pores, soil moisture content, textural class, structure, salt content, and organic matter.
Each of these six classes was then combined with TWI classes (representing moisture conditions: wet, moderately wet, and dry) and this combination assisted in assigning each resulting class to one of the two paludification types.
Soil samples were collected in 2015 and determinations included total carbon and its fractions, total nitrogen, microbial biomass carbon, soil moisture contents, aggregate size class distribution, volumetric aggregate weight, mean weight diameter change, maximum bulk density, total infiltration, and saturated hydraulic conductivity.
Hence, in all cases when SOL depth reached ≥ 20 cm, moisture regime stepped one class ahead.
According to ANOVA and Fisher LSD test, sample composition significantly affects moisture content highlighting different classes among the tested materials.
The moisture classification includes climatic classes with descriptors such as hyperhumid, humid, subhumid, subarid, semi-arid (values of −20 to −40), and arid (values below −40).
Statistical analysis was performed on the Kfs values to analyze the effect of initial soil moisture content, season, soil texture class and distance in downstream direction on the geometric mean Kfs value of a swale.
The DSS uses in-depth information about the Bungoma region, extracted from a large-scale FAO database on Kenya that includes information on various climatic and soil characteristics (e.g., thermal and moisture regime, soil type, slope class) and socio-economic data (e.g., projected growth rate and product demand patterns) for 90000 agro-ecological cells.
