Forecasting, using time series data, has become the most relevant and effective tool for fisheries stock assessment. Autoregressive integrated moving average (ARIMA) modeling been commonly used to predict general trend fish landings with increased reliability precision. In this paper, ARIMA models were applied Lake Malombe annual catch per unit effort (CPUE). The CPUE trends first observed both...