Soil chemical and biological dynamics in mixed use landscapes are dependent
on the distribution and pattern of soil moisture and water transport. In t
his paper we examine the effect of different grid sizes on soil water conte
nt for a spatially explicit, variable-source-area hydrology model applied t
o a watershed in central New York. Data on topography, soil type, and land
use were input at grid sizes from 10 to 600 m. Output data consisted of run
off and spatial pattern of soil moisture. To characterize the spatial varia
bility at different grid sizes, information theory was used to calculate th
e information content of the input and output variables. Simulation results
showed higher average soil water contents and higher evaporation rates for
large grid sizes. During a wet year, runoff was not affected by grid size,
whereas during a dry year runoff was greatest for the smallest grid size.
While the information content (i.e., spatial variability) of soil type and
land use maps was not affected by the different grid sizes, increasing grid
sizes caused the information content of the slope gradient to decrease sli
ghtly and the Laplacian (or curvature of the landscape) to decrease greatly
. In other words, increasing grid cell size misrepresented the curvature of
the landscape. During wet periods the decrease in information content of t
he soil moisture data was the same as for the Laplacian as grid size increa
sed. During dry periods, when local fluxes such as evaporation and runoff d
etermine the moisture content, this relation did not exist. The Laplacian c
an be used to provide a priori estimates of the moisture content deviations
by aggregation. These deviations will be much smaller for the slowly undul
ating landscapes than the landscape with steep valleys simulated in this st
udy.