The SCRS has advanced the outlook for Blue Shark MSE through two key
documents prepared in 2024. These focus on developing code architecture,
conducting preliminary closed-loop simulations for the northern stock,
and assessing technical feasibility.
Taylor (2024) presents a
compact closed-loop simulation framework for Blue Shark MSE that uses
multivariate Bayesian priors for life-history parameters and tests
ICCAT-relevant management procedures against minimum performance
standards. Example simulations show that several MPs—both index- and
model-based—achieve high probabilities (>90%) of remaining above 40%
BMSY, with green quadrant probabilities ranging from 60% to 90%, and
greater catch variability observed in model-based MPs.
Carruthers
(2024) introduces a streamlined simulation platform for Atlantic Blue
Shark MSE, using operating models that incorporate uncertainty in
life-history and productivity parameters. It evaluates both index- and
model-based MPs, demonstrating that many exceed performance benchmarks
such as maintaining biomass above 40% BMSY and achieving 60–90%
probability of being in the Kobe green quadrant. The platform also
explores algorithms to automatically tune MPs to minimum performance
standards. The full source code is available at
github.com/Blue-Matter/Blue_Shark_MSE.
The SCRS aims to submit a
feasibility analysis for northern and southern Blue Shark MSE to the
Commission by 2025.