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Tuesday, April 10 • 10:45am - 11:00am
SYMPOSIA-09: Improving High Performance Super Computer Aquatic Ecosystem Models with the Integration of Real-time Citizen Science Data

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AUTHORS: Jason H. Knouft*, Department of Biology, Saint Louis University; Darren L. Ficklin, Department of Geography, Indiana University, Bloomington; Damon Hall, Center for Sustainability, Saint Louis University; Christopher S. Lowry, Department of Geology, University of Buffalo

ABSTRACT: Because freshwater species are some of the most imperiled taxa in North America, accurate spatial representations of their habitat are needed. This can be accomplished through the collection of data by government and research organizations or by computer modeling, whereby the accuracy of the model is dependent upon the observed data. The amount of observed data in freshwater habitats has been declining due to decreases in funding from federal agencies. Data that do exist are on large rivers important for urban communities (i.e., flooding, water supply), a location not appropriate for aquatic species whose habitat are in the smaller headwater streams. Local communities of active resource users, however, offer an opportunity to close this data-availability gap through citizen science. We are using an integrated approach to data collection, storage, evaluation, forecasting and application that blurs the lines between citizen and professional scientists in the Boyne River Basin in Michigan, USA. We have installed CrowdHydrology (a citizen science network that collects hydrologic data) stream gauges throughout the Boyne River Basin. The local community can text (via cellphone) stream level and water temperature data to the CrowdHydrology platform. These citizen science data are then automatically transformed and input into an eco-hydrological model of real-time simulations of streamflow, stream temperature, and eventually aquatic species habitat. The primary goal of this work is to advance the science of hydrological/ecosystem modeling using high performance super computers by incorporating participant-generated data to advance approaches for engaging citizens in water and ecosystems.

Tuesday April 10, 2018 10:45am - 11:00am CDT
Adams Room