Towards defining good practices for modeling time-varying selectivity

摘要: Abstract Changes in the observed size- or age-composition of commercial catch can occur for a variety reasons including: market demand, availability, temporal changes growth, time-area closures, regulations, change fishing practice, to name but few. Two common approaches dealing with time-varying selectivity assessment models are use discrete time-blocks associated an epoch history fishery, penalized random walk parametric non-parametric curves. Time block periods, penalty weights parameters, subjective and often developed on ad hoc basis. A factorial simulation–estimation experiment, continuous selectivity, is conducted determine best practices modeling fisheries stock assessments. Both statistical properties model policy implications choosing wrong taken into consideration.