Invasive species, such as bluegill sunfish, have been recognized as one of the most major threats to freshwater ecosystems and their managements have been intensively conducted in Japan. Population modeling can be a useful tool to accomplish such management needs, for example to select effective control measures. However, the population modeling has been rarely used in such context, even if life history information and monitoring data on abundance are available. One of the likely reasons is the difficulty in estimating parameters necessary for the population models from field data. Hence, in this study, we aimed to 1) estimate parameters of an age structured population model of bluegill sunfish by using Bayesian method and 2) predict population dynamics under different management strategies. To this end, for the parameter estimation, used available data on abundance of bluegill sunfish in the Hyco Reservoir (North Carolina USA) from 1979 to 1986.