A Bayesian two-stage biomass model for stock assessment of data-limited species: An application to cuttlefish ( Sepia officinalis ) in the English Channel
Author:
Funder
Ifremer and from the “Conseil Régional de Normandie”
Publisher
Elsevier BV
Subject
Aquatic Science
Reference50 articles.
1. Adult-mediated connectivity affects inferences on population dynamics and stock assessment of nursery-dependent fish populations;Archambault;Fish. Res.,2016
2. Age studies based on daily growth increments in statoliths and growth lamellae in cuttlebone of cultured Sepia officinalis;Bettencourt;Mar. Biol.,2001
3. The migrations of the cuttlefish (Sepia officinalis L.) in the English Channel;Boucaud-Camou,1991
4. Some issues for monitoring convergence of iterative simulations;Brooks;Comput. Sci. Stat.,1998
5. Embedding population dynamics models in inference;Buckland;Stat. Sci.,2007
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