Using Simulation Results And Bayesian Belief Networks To Assist Fisheries Planning: A Case Study Of The Patagonian Toothfish Fishery At Macquarie Island ...

• Main Authors: Kuikka, Sakari, Tuck, Geoff, Smith, Tony, He, Xi
• Format: Conference Object
• Language: unknown
• Published: ASC 2001 - N - Theme session 2024
• Subjects: Fisheries and aquaculture; Pressures, impacts, conservation, and management; Macquarie Island; Patagonian Toothfish
• Online Access: https://dx.doi.org/10.17895/ices.pub.25635915.v1; https://ices-library.figshare.com/articles/conference_contribution/Using_Simulation_Results_And_Bayesian_Belief_Networks_To_Assist_Fisheries_Planning_A_Case_Study_Of_The_Patagonian_Toothfish_Fishery_At_Macquarie_Island/25635915/1

No abstracts are to be cited without prior reference to the author.In this paper we consider two key areas of fisheries management. Firstly, we demonstrate how knowledge related to biological hypotheses and observations can be brought into fisheries management modelling in a relatively simple way. Secondly, we show how value-of-information and value-of-control can be used when planning fisheries management systems. We apply Bayesian belief network methodology to the fishery for Patagonian toothfish at Macquarie Island, Australia. In this fishery, fishers’ observations, as well as the scientific data, suggest that large-sized transient fish, increasing the total catches and CPUE values in a remarkable but also unpredictable way, might occasionally occupy the area. We use a model to simulate the daily fishing decisions of the fishers. We show that the reaction of the fishers to the variability in daily income includes a strong self-regulatory mechanism, which serves to protect the stock. The probabilistic ...