Results of sensitivity tests applied to the South African squid stock assessment model, including for harvesting strategies with a constant annual catch component for small scale fishers

Currently a Bayesian approach is applied in assessing the status of the South African squid resource, Loligo reynaudii. The underlying model is biomass-based and a year is split into two time periods to better model the dynamics of the stock and the two fisheries (jig and trawl) that exploit it. This paper reports results from various sensitivity tests conducted on the existing model.