The Trophic State Index (TSI) has been widely used to rank and classify lakes and has proven useful in limnological investigations, but it has not been widely used in fisheries investigations. Trophic State Index was developed from chlorophyll a (Chi a), total phosphorus (TP), total nitrogen (TN), and Secchi disk (SD) transparency measurements for 69 Florida lakes. A combination of TSI parameters was used to develop multiple regression models to predict lake capacity for supporting sportfish biomass (kg/ha). The developed, predictive model could be used by other states with modifications to investigate fish biomass from trophic state information. Also, fish estimates predicted from the model would provide fishery managers feedback for future resource planning.
