The U.S. Environmental Protection Agency has proposed a sample survey
design to answer questions about the ecological condition and trends i
n condition of U.S. ecological resources. To meet the objectives, the
design relies on a probability sample of the resource population of in
terest (e.g., a random sample of lakes) each year on which measurement
s are made during an index period. Natural spatial and temporal variab
ility and variability in the sampling process all affect the ability t
o describe the status of a population and the sensitivity for trend de
tection. We describe the important components of variance and estimate
their magnitude for indicators of trophic condition of lakes to illus
trate the process. We also describe models for trend detection and use
them to demonstrate the sensitivity of the proposed design to detect
trends. if the variance structure that develops during the probability
surveys is like that synthesized from available databases and the lit
erature, then the trends in common indicators of trophic condition of
the specified magnitude should be detectable within about a decade for
Secchi disk transparency (0.5-1 percent/year) and total phosphorus (2
-3 percent/year), but not for chlorophyll-a (> 3-4 percent/year), whic
h will take longer.