Abstract
Scientific knowledge-based fishery management is essential to ensure the sustainability of marine resources, particularly in regions where fisheries are data-limited. This study assessed the stock status of six shallow-water demersal fish species (Bagre marinus, Cathorops mapale, Diapterus rhombeus, Eucinostomus argenteus, Haemulopsis corvinaeformis, and Lutjanus synagris) in the Colombian Caribbean Sea using three complementary length-based models: length-based indicators (LBIs), length-based spawning potential ratio (LBSPR), and the Length-Based Bayesian Biomass estimator (LBB). The integrated results demonstrated that five species (C. mapale, D. rhombeus, E. argenteus, H. corvinaeformis, and L. synagris) are currently overexploited (F/M > 1 and B/BMSY 1 and B/BMSY > 1), with a high risk of surpassing its maximum sustainable yield. These outcomes confirm that demersal fish populations in the Colombian Caribbean are being exploited beyond sustainable biological limits. With the aim of promoting stock recovery and long-term sustainability, this study recommends the implementation of recently evaluated management measures focused on (i) the implementation and enforcement of Bycatch Reduction Devices (BRDs); (ii) the regulation and monitoring of trawl net mesh sizes to improve selectivity patterns; (iii) the establishment of spatial and temporal closures in critical spawning areas for demersal fish species; and (iv) the strengthening of fishery monitoring and data collection systems. The findings provide critical baseline information and a methodological framework to support evidence-based fishery management and conservation strategies in tropical multispecies fisheries under data-limited conditions.