DETECTION OF FISH MOVEMENT PATTERNS ACROSS MANAGEMENT UNIT BOUNDARIES USING AGE-STRUCTURED BAYESIAN HIERARCHICAL MODELS WITH TAG-RECOVERY DATA.

Detection of fish movement patterns across management unit boundaries using age-structured Bayesian hierarchical models with tag-recovery data.

Tagging studies have been widely conducted to investigate the movement pattern of wild fish populations.In this study, we present a set of length-based, age-structured Bayesian hierarchical models to Bumpers explore variabilities and uncertainties in modeling tag-recovery data.These models fully incorporate uncertainties in age classifications of t

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