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Data files contain the simulated mean daily environmental conditions experienced by particles (which can be assumed to be planktonic larval alewife or yellow perch) in Lake Michigan during March 15 - July 31 of past and future years. Simulations were generated by integrating a series of climatic, hydrodynamic, biogeochemical, and Lagrangian particle dispersion (LPD) models. For each year, 42,765 particles (i.e., each representing a theoretical larval fish) were released from coastal and nearshore locations and tracked sub-hourly for 50-days following their release. Each year's dataset summarizes individual particle experiences (e.g., light, zooplankton prey, temperature) into daily averages.
This data was used for the analysis in the paper "Assessing factors related to Walleye stocking success in the midwestern United States". This data includes stocking records of walleye from the Midwestern United States and subsequent evaluations of these stockings as provided by state agencies. Additionally, attributes of lakes such as size (depth, area), trophic state, and temperature are included to evaluate factors that relate to walleye stocking success. A second copy of the data is included that relies on imputation to fill in data gaps. Methodological processes are outlined in the associated paper.
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