A characterization of eroded soil properties, especially size, is requ
ired for proper usage of modern process-based soil erosion models. In
a study addressing reclaimed mine land erodibility, over 350 measured
eroded aggregate size distributions were collected from erosion plots
created on reclaimed and nearby unmined soils at three separate strip
mine sites. The experimental design allowed for a comparison of eroded
aggregate size distributions as a function of land slope, run sequenc
e, and reclamation treatment. No influence of slope was apparent, as d
istributions collected from plots constructed at 6% slope were coarser
than those collected from 18% slope, but finer than those collected f
rom 12%. Samples collected during extra inflow runs, in which runoff r
ates, flow velocity, and rill erosion were greatest, had coarser distr
ibutions than samples collected during rainfall only runs, which tende
d to have similar distributions. Distributions from reclaimed topsoil
treatments were similar to nearby unmined soils and were distinct from
subsoil reclamation treatments. At two sires, topsoil treatments had
coarser distributions, while the converse was true at the third. Distr
ibutions taken from topsoil and unmined soil treatments were used to d
evelop five regression equations to predict the percentage of total er
oded soil mass falling into each of five size classes-clay, silt, and
three sand sizes. A stepwise, multivariate regression technique was us
ed to select the best independent variables from 30 soil parameters. I
ndependent variables that proved to be significant in at least one equ
ation include primary particle and water stable aggregate size distrib
utions, bulk density, organic carbon, and soil moisture. The number of
significant independent variables ranges from II to 15 and correlatio
n coefficients (R(2)) range from 0.77 to 0.53, which is a general impr
ovement over previously published prediction methods.