Limited data, and the requirement to provide science-based advice for exploited
populations, have led to the development of statistical methods that combine several …

This paper presents a brief review of the present state of knowledge in stock–recruitment
forecasting, including process and current methodological challenges to predicting stock …

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 …

Abstract Interpretation of data used in fisheries assessment and management requires
knowledge of population (eg growth, natural mortality, and recruitment), fisheries (eg …

Integrated analysis (or integrated population modelling) methods have become the
preferred approach for conducting stock assessments, and providing the basis for …

Integrated analysis models provide a tool to estimate fish abundance, recruitment, and
fishing mortality from a wide variety of data. The flexibility of integrated analysis models …

The state-space model framework provides a natural, probabilistic approach to stock
assessment by modeling the stochastic nature of population survival and recruitment …

Recruitment is one of the most variable biological processes driving fisheries population
dynamics and the characteristics and drivers of the variation differ among stocks …

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 …

This manual provides a guide for using the stock assessment program, Stock Synthesis
(SS). The guide contains a description of the input and output files and usage instructions. A …