Apparent electrical conductivity (ECa) of soils can be measured easily by n
ondestructive methods and, therefore, could be useful in the mapping of soi
l properties, which influence ECa. The influences of soil structure, bulk d
ensity, clay and water content, EC of the soil solution, and cation exchang
e capacity (CEC) on ECa were examined in laboratory experiments for 19 soil
s at 16 to 18 water contents. Soil structure increased variability in ECa b
ut had no other influence. Bulk density also had no influence when the othe
r variables were used on a volume basis rather than on a weight basis. This
agrees with the concept that an electric current has to pass a given volum
e between two electrodes but not a constant mass. Cation exchange capacity,
which depends primarily on charged sites of the clay and organic matter fr
actions, correlated less with ECa than clay content alone, indicating that
the charged sites of organic matter are less important. Despite the humid c
limate, the EC of the soil solution varied considerably in the soils, which
could be explained by differences in fertilizing history which, in turn, i
nfluenced ECa. Water content had a comparably small influence, which increa
sed near the wilting point and below. In a multiple regression, volumetric
clay content, EC of the soil solution, and logarithmic water content influe
nced ECa at a ratio of 1 : 0.8 : 0.4. This regression explained 84% of the
variation and performed equally well on a validation data set of 145 soil-m
oisture combinations. This is superior to an existing model. Thus, ECa offe
rs the opportunity to improve high-resolution mapping of these three proper
ties by selecting conditions under which the variation can be assigned main
ly to a single factor. Together with the ease of ECa measurement, this is e
specially useful for precision agriculture.