Management implication on Indian Ocean albacore from simple yield analysis incorporating parameter uncertainty

Abstract Many studies have been conducted to estimate the parameters of Indian Ocean albacore ( Thunnus alalunga ) fishery. Various estimates on the same parameter from these studies have resulted in uncertainty and confusion when management strategies are made. This study incorporates these estimates in the simple yield-per-recruit model through Monte Carlo simulations to derive management implication under parameter uncertainty. The results provided an optimal management suggestion under the following conditions. First, the probability of obtaining feasible simulation results was greater than 95%; second, the probability of increase to yield-per-recruit after regulatory change was also greater than 95%. Under these conditions, the results suggested if the goal of management was to increase the relative yield-per-recruit of the Indian Ocean albacore stock by 30% and more, the relative selection size should be changed by +0.15 to +0.25 and the exploitation rate by −0.5 to +0.15.