Several data-poor techniques, including Length-Based methods (Froese Sustainability Indicators) and SPR, are applied to perform an assessment of the Gulf corvina (Cynoscion othonopterus) fishery in the Gulf of California from 1997 to 2012 and to investigate the effects of gear selectivity and age-dependent variation in spawning frequency on estimates of sustainability in spawning aggregation fisheries. This paper provides an excellent example of the application of the Data Limited Assessment and Management Framework to a real-world fishery, and shows how the use of local knowledge about a system is critical for effective interpretation of assessment results. The authors also explore what outcomes would be if the assumption of equilibrium was violated, which may be the case in some fisheries.
