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Wednesday, September 21 • 1:30pm - 3:00pm
Better Monitoring through Uncertainty Analysis

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Uncertainty analysis can be used to improve the efficiency of ecosystem monitoring, better enabling sampling designs to maximize information gained relative to investments in sample collection and analysis. Periodic evaluation of monitoring programs is important to accommodate changing objectives, technological advances, and the accumulation of information over time. Cost-benefit analyses can provide an objective basis for making decisions to adjust sampling effort, whether driven by a need to cut costs, an opportunity to make investments, or a target statistical confidence. Presentations in this workshop will highlight curves of cost versus statistical confidence for diverse environmental data sets. Please attend this session if you have experience making decisions about investments or reductions in monitoring designs, if you can contribute insight to accounting for costs and benefits of monitoring, or if you are interested in conducting such an analysis of your own data sets

Lead Organizer

Ruth Yanai

Multiple Element LImitation in Northern Hardwood Ecosystems (MELNHE)Quantifying Uncertainty in Ecosystem Studies (QUEST)


John Campbell

Research Ecologist, USDA Forest Service

Wednesday September 21, 2022 1:30pm - 3:00pm PDT
10. Oak Shelter