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CHALLENGES OF PROCESSING BIOLOGICAL DATA FOR INCORPORATION INTO A LAKE EUTROPHICATION MODEL
Citation:
Taunt, K. W., J. J. Pauer, AND R G. Kreis. CHALLENGES OF PROCESSING BIOLOGICAL DATA FOR INCORPORATION INTO A LAKE EUTROPHICATION MODEL. Presented at American Society for Limnology and Oceanography, Alburquerque, NM, February 2001.
Description:
A eutrophication model is in development as part of the Lake Michigan Mass Balance Project (LMMBP). Successful development and calibration of this model required the processing and incorporation of extensive biological data. Data were drawn from multiple sources, including nutrient analyses, phytoplankton samples and radiolabeled carbon incubation experiments, to derive field estimates of productivity that can be directly compared to model output. Results indicate good agreement between data and model-derived productivity estimates and suggest that relationships have been appropriately established. While lakewide sampling conducted in support of the LMMBP provided a wealth of current data for Lake Michigan, many ecological models do not benefit from this level of support and must rely upon historical and/or limited data for the system of interest. These data often require similar processing to that described here before successful application to modeling applications can occur. Challenges and solutions encountered in applying LMMBP data to our eutrophication model may be valuable for solving
problems that arise when historical data are used in modeling.