A prerequisite for a precise estimate of the abundance of weed seeds i
n soil is prior knowledge of sampling variability. Based on an analysi
s of EWRS working group trials, it is shown that the sampling variance
(s(2)) of seed counts increases with the sampling mean ((x) over bar)
and can be predicted with the logarithmic form of Taylor's power law:
log(10)(s(2)) = a + b log(10)((x) over bar). This relationship is con
stant over time for means greater than 0.1 seeds per core within each
of the five different sites studied (temporal variability) but differs
slightly among sites (geographical variability). An attempt is made t
o use a general s(2) : (x) over bar relationship to predict the number
of samples as a function of precision and density.