Monitoring nutrients in
precipitation inputs and other ecosystem fluxes has advanced our
understanding of biogeochemical cycling.  However, uncertainty due to
variability or error in observations and models has rarely been reported
in ecosystem studies. This makes it difficult to determine rates of
change over time or compare results across multiple sites with
quantitative confidence.  Failure to address uncertainties can lead to
erroneous conclusions, for example in identifying missing sources and
sinks. Uncertainty analyses can also help to improve efficiency in
ecosystem monitoring efforts, allowing sampling designs to maximize
information gained relative to the resources required for data
collection and analysis.  In this Synthesis Working Group, we propose to
develop and apply approaches to estimating uncertainty in precipitation
inputs of nutrients for several LTER sites.