The document discusses the application of uncertainty analysis to enhance sampling strategies for monitoring mercury pollution in fish and loons across various Adirondack lakes from 1992 to 2016. It outlines objectives for determining the necessary number of lakes and years for effective resampling, emphasizing statistical methods like minimum detectable changes and power analysis using R programming. The research aims to provide guidelines that accommodate temporal variations and improve aquatic monitoring efforts.