Stock Assessment of 19 Perciformes in the Beibu Gulf, China, Using a Length-Based Bayesian Biomass Method

The Beibu Gulf in China is rich fish resources. However, only a small number of commercially developed stocks have been specifically assessed owing to limited data and expertise. In this study, 19 perciform populations the were using length-based Bayesian biomass (LBB) estimator method, which new approach evaluate fishery’s status length frequency (LF) data. results showed that 21% evaluated healthy 79% overfished. particular, 26 species had collapsed grossly overfished, respectively. Only 11 slightly overfished ratios between mean optimum ( L /L opt ) at first capture length, maximizes catch c c_opt ), below one 14 out stocks, suggesting truncated structure fishing undersized individuals. ratio 95th percentile asymptotic inf was close (>0.9) 10 least some large still present. Our research confirmed fishery resources seriously provided evidence LBB an efficient method Fishery managers need take specific measures restore