Assessment of standing crop on grasslands using a visual obstruction techni
que provides valuable information to help plan livestock grazing management
and indicate the status of wildlife habitat. The objectives of this study
were to: (1) develop a simple regression model using easily measured visual
obstruction to estimate standing crop on sandy lowland range sites in the
Nebraska Sandhills, (2) provide sampling and monitoring suggestions in the
use of visual obstruction on this grassland type, and (3) compare the visua
l obstruction technique to the standard clip and weigh procedure. Visual ob
struction precisely predicted average standing crop dry weights for the san
dy lowland range sites (r(2) = 0.88). A prediction accuracy of +/- 295 kg h
a(-1) was found using a test data set. Two sampling options (A and B) were
evaluated using a 2-stage sampling protocol. Option A (1 transect/quarter s
ection) provided more precise estimates applicable to extensive grasslands
than option B. However, option A was not applicable to a section (259 ha) o
r a Few sections. Option B (3 transects/section) provided estimates applica
ble to each section and to the entire area, but it required more intensive
sampling than option A to attain the same precision. The visual obstruction
technique provided more precise estimates of standing crop than the standa
rd clip and weigh technique when clipping and weighing up to 6 plots per tr
ansect. When 7 or more clipped and weighed plots per transect were sampled,
standing crop estimates were more precise than using visual obstruction re
adings. However, since 20 visual obstruction readings/transect (25 minutes)
can be sampled in about half the time spent clipping and weighing 6 plots/
transect (45 minutes), visual obstruction in combination with a previously
estimated regression model provides a simple, reliable, and cost effective
alternative to the clip and weigh technique. Regression models should be de
veloped for other grassland types following the methodology described in th
is paper.