Application of a continuous Fox-form production model on fishery stock assessment

Because of their simple form and relatively undemanding of data, surplus production models are widely used in fishery stock assessment. This paper uses a continuous Fox-form production model to analyze 3 simulated fisheries and the North Atlantic swordfish fishery. The results of the simulated fisheries are compared to determine what fishery data condition is most suitable for the continuous Fox-form production model. Monte Carlo simulation analysis showed that the model performance for fishery 3 was better than those for the other two simulated fisheries. This may be because the exploitation process of fishery 3 is more complete and fishery 3 data contains more information. When white noise is less than 10%, the percentage biases were small, less than 3.3%. When the white noise is 50%, the percentage biases were large with the largest of 36.7%.