How do soil properties affect soil saturated hydraulic conductivity?
Assessment and prediction based on soils with different salinity and
sodicity in the semi-arid region of Northeast China
Abstract
Soil salinization and sodication represent a pervasive form of soil
degradation worldwide, characterized by the deterioration of soil
physical structure and a reduction in saturated hydraulic conductivity
(Ks). This has an adverse effect on crop water uptake, which in turn
results in a reduction in food production. Nevertheless, there is a lack
of research on the limiting mechanisms of Ks by individual limiting
factors in soils with different salinity and sodicity. The Songnen Plain
in north-eastern China, the site of this research, is one of the regions
with a concentration of saline sodic soils globally. In this study,
structural equation modelling (SEM) was employed to evaluate the
influence of soil properties on soil Ks, with the objective of
identifying the principal limiting factors and barrier mechanisms of
soil Ks. The results showed that Ks exhibited significant spatial
autocorrelation and its spatial variation depended on soil properties.
Soil Ks was significantly lower in the central plains of the study area,
with a notable increase observed in both the eastern and western
regions. The presence of substantial quantities of exchangeable sodium
on the surface of soil colloids is the root cause of the low soil Ks,
which, in conjunction with total soil alkalinity, exerts a considerable
direct influence on soil pH (55%). Soil sand content and bulk density
are important physical factors affecting soil Ks (22% and 31%,
respectively), which influences water transport in the soil by affecting
soil pore structure. The three predictors of saturated hydraulic
conductivity for soils with different salinity and sodicity were pH,
bulk density, and water-stable aggregate content greater than 0.25 mm
(WSA >0.25). A predictive model was developed
using the logarithmic transformation of soil Ks and a regression
equation based on the support vector mechanism model. The regression
equation was K s = e 26 . 5 + 3 . 72 WSA > 0 . 25 - 4 . 15
BD - 2 . 71 pH . The findings indicate that lowering soil pH and bulk
density and promoting the formation of aggregate structures are key to
increasing Ks in saline sodic soils.