Stock synthesis: A biological and statistical framework for fish stock assessment and fishery management

By R. Methot, Chantell R. Wetzel. 2013

750 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/9bf45772a752b8f7ba761efe2c6d66700a58f65e

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In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Accounting for correlated observations in an age-based state-space stock assessment model (2016, methodology): “A common approach is to use a multinomial likelihood for the composition data (e.g. Stock Synthesis (Methot and Wetzel, 2013)), but this distribution fails to account for the overdispersion and correlations that are usually found in compositional catch data (e.g. Pennington and Volstad, 1994;…”
Estimation of time-varying selectivity in stock assessments using state-space models (2014, background): “Other examples include estimating deviations around a mean, random walks deviations, or Gaussian trends (Methot and Wetzel, 2013; Taylor and Methot, 2013).”
Management strategy evaluation: best practices (2016, methodology): “Base the operating model(s) and the manage- ment strategy on software that has been developed for broad application and has been tested extensively, such as Stock Synthesis (Methot and Wetzel 2013; Anderson et al. 2014; Maunder 2014), or use tools specifically developed to evaluate management strate”
Contemporary fisheries stock assessment: many issues still remain (2015, methodology): “Several general models are now available to implement integrated analysis [e.g. Stock Synthesis (Methot, 1990; Methot and Wetzel, 2013), Coleraine (Hilborn et al., 2000), CASAL (Bull et al., 2005), MULTIFAN-CL (Fournier et al., 1998; Hampton and Fournier, 2001), Gadget (Begley and Howell, 2004)]…”
An evaluation of an iterative harvest strategy for data-poor fisheries using the length-based spawning potential ratio assessment methodology (2015, methodology): “This must be kept in mind whenever comparing the estimates of one of these methods to the output of models such as Stock Synthesis, which present the static SPR (Methot and Wetzel, 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): “Both Stock Synthesis and CASAL allow for the presence of growth groups (called 454 ‘morphs’ or ‘platoons’ in Stock Synthesis (Methot and Wetzel, 2013) and ‘growth paths’ in 455 CASAL (Bull et al.”
Dealing with data conflicts in statistical inference of population assessment models that integrate information from multiple diverse data sets (2017, methodology): “Maunder et al. (2015) recommend that when there is an adequate amount of growth information available, estimation of annual variation in the asymptotic length should be the default assumption using the growth increment approach (see Methot and Wetzel 2013).”
Research Priorities to Support Effective Manta and Devil Ray Conservation (2018, background): “As life history parameters and population estimates become available for mobulids, researchers should use traditional stock assessment methods to evaluate the status and trends of populations (Methot and Wetzel, 2013).”