Continuous monitoring of watershed signals: Disentangling compounded processes

Monday, 15 December 2014: 4:15 PM
Brian L McGlynn1, Erin Cedar Seybold1, Margaret A Zimmer1, Kendra Elena Kaiser1, John M Mallard1, Anna Bergstrom2, Kelsey G Jencso2 and Fabian Nippgen1,3, (1)Duke University, Nicholas School of the Environment, Durham, NC, United States, (2)University of Montana, Missoula, MT, United States, (3)Montana State University, Durham, NC, United States
Matching observation and process time scales is critical for uncovering and quantifying ecosystem processes and developing new understanding of key drivers of observed behavior. Fortunately, real-time monitoring of hydrological and biogeochemical signals across watershed and stream systems is becoming more common. Unfortunately, disentangling compounded biological and physical processes operating and transported across often asynchronous time scales presents new challenges for realizing the potential of real-time sensor technology. Here we focus on challenges to interpreting in-stream observations as well as opportunities to use these emerging technologies to gain new insight into system behavior through enhanced observational networks and analysis that can reduce equifinality in process attribution of observed signals.