A Bayesian hierarchical model of size-at-age in ocean-harvested stocks — quantifying effects of climate and temporal variability
Abstract:Quantifying size-at-age in harvested marine fish populations is a challenge with implications for both conservation and management. We describe a Bayesian hierarchical modeling approach for estimating mean and variation in size-at-age, incorporating environmental covariates. We apply the approach to two runs of Sacramento River Chinook salmon (
Document Type: Research Article
Affiliations: Fisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, 110 Shaffer Road, Santa Cruz, CA 95060, USA
Publication date: 2012-05-05
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- Published continuously since 1901 (under various titles), this monthly journal is the primary publishing vehicle for the multidisciplinary field of aquatic sciences. It publishes perspectives (syntheses, critiques, and re-evaluations), discussions (comments and replies), articles, and rapid communications, relating to current research on cells, organisms, populations, ecosystems, or processes that affect aquatic systems. The journal seeks to amplify, modify, question, or redirect accumulated knowledge in the field of fisheries and aquatic science. Occasional supplements are dedicated to single topics or to proceedings of international symposia.
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