Effects of Fishing Selectivity and Dynamics on the Performance of Catch-Based Data-Limited Assessment Models for Species with Different Life History Traits

The assessment of fish stocks is often limited by a lack comprehensive data. Therefore, catch-based methods are increasingly being used because the availability more catch However, models may perform differently for species with different traits and fishing histories. In this study, we investigated performance life history traits, histories, under length selections. We compared simulated biomass estimated stock status from three widely (Catch-MSY model [CMSY]; catch-only model-sampling importance resampling [COM-SIR]; state-space [SSCOM]) scenarios (constant, increasing then decreasing, continuously mortality) selectivity (no selectivity, preferring smaller individuals, larger individuals). Our results showed that CMSY performed best, particularly when mortality remained constant. Catch-based better opportunistic had individuals selected equilibrium selected. tended to overestimate continued increase. caution should be exercised applying data-poor diverse history, those sensitive selective fishing.