The relative importance of factors affecting variation in stock-recruitment relationships remains a long-standing question for fisheries research and management. Corresponding to the desire of ecosystem-based fisheries management in recent years, a better understanding of the stock-recruitment mechanism involving explicit effects of biological and ecological factors is badly required. Yellow Perch (Perca flavescens) comprises a significant proportion of the food web as well as the total value of all harvested species in Lake Erie, but the mechanisms behind its stock-recruitment relationship are not well understood. To identify and justify factors from both correlation and causation perspectives, I propose to apply both population-based statistical model and individual-based mechanistic model to study factors affecting stock-recruitment relationships of Lake Erie Yellow Perch.