The ideal stock assessment would be able to estimate all of the key parameters related to
population processes within a framework that assigns appropriate weight to the data, fits the …

In fisheries with limited capacity for monitoring, it is often easier to collect length
measurements from fishery catch than quantify total catch. Conventional stock assessment …

Integrated analysis has increasingly been the preferred approach for conducting stock
assessments and providing the basis for management advice for fish and invertebrate stocks …

A variety of data types can be included in contemporary integrated stock assessments to
simultaneously provide information on all estimated parameters. Conflicts between data …

Catch statistics are perhaps the most commonly collected data and are widely available for
many fisheries. However, it is currently difficult to provide scientific advice for management …

Integrated models (IMs) for stock assessment are simultaneously fit to diverse data sets to
estimate parameters related to biological and fishery processes. Model misspecification may …

Contemporary fisheries stock assessments often use multiple diverse data sets to extract as
much information as possible about biological and fishery processes. However, models are …

Abstract Specification of how selectivity (the combination of availability and vulnerability) is
modelled in integrated stock assessments is key to avoiding bias in estimates of quantities of …

Integrated stock assessments consist of fitting several sources of catch, abundance, and
auxiliary biological information to estimate parameters of equations that describe the …

Selectivity has traditionally been well estimated internally in stock assessment models when
length or age composition data are available. However, in stock assessment, temporal or …