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A new way to visualize and report structural and data uncertainty in stock assessments
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2020
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Source: Canadian Journal of Fisheries and Aquatic Sciences, 77(8), 1275-1280
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Journal Title:Canadian Journal of Fisheries and Aquatic Sciences
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Description:We present a visual and tabular representation of fisheries stock assessment model outputs to rapidly examine and effectively communicate sensitivity analysis results from numerous alternative model comparisons. This approach uses multiple output metrics to identify which alternative stock assessment model configurations relative to the reference model deserve further attention when quantifying intermodel uncertainty. An accompanying table of likelihood components, parameters, and model-derived quantities highlights where major changes exist compared with the reference model. The general method is applicable to any stock assessment and should aid in model behavior diagnosis and communicating uncertainty to managers. Specific examples and code are provided for the Stock Synthesis modelling framework.
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Source:Canadian Journal of Fisheries and Aquatic Sciences, 77(8), 1275-1280
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ISSN:0706-652X;1205-7533;
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Rights Information:CC0 Public Domain
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Compliance:Library
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