Review of integrated size-structured models for stock assessment of hard-to-age crustacean and mollusc species

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Dealing with data conflicts in statistical inference of population assessment models that integrate information from multiple diverse data sets (2017, background): “The complexity of modern stock assessment models has been driven in part by the desire to incorporate a broad range of data types collected with different sampling assumptions (Maunder and Punt 2013; Punt et al. 2013).”
Model selection for selectivity in fisheries stock assessments (2014, methodology): “However, integrated analysis methods based on length-structured population dynamics models are applied widely for species which are hard to age (Punt et al., 2013).”
Contemporary fisheries stock assessment: many issues still remain (2015, background): “Lack of age data for hard-to-age species has led to the development of integrated length-structured models (Punt and Kennedy, 1997; Punt et al., 2013).”
A simple length-structured model based on life history ratios and incorporating size-dependent selectivity: application to spawning potential ratios for data-poor stocks (2016, background): “For 467 example, species that have an ontogenetic migration may be better described by age-based 468 selectivity, or a combination of the two (Punt et al. 2013, Francis 2015).”