Generalized linear bayesian models for standardization of CPUE with incorporation of spatial-temporal variations [SA WP07] Zane Zhang and John Holmes

By: Contributor(s): Material type: ArticleArticleLanguage: ENG Publication details: [Pohnpei, Federated States of Micronesia] Western and Central Pacific Fisheries Commission (WCPFC) 2009Description: 21 p. ill., tables 30 cmSubject(s): DDC classification:
  • 639.27783
Online resources: Summary: "Catch and effort data from longline fleets are a key input in the assessment of yellowfin, bigeye, skipjack, and albacore tuna stocks in the WCPFC convention area (Hampton et al. 2006a, 2006b; Hoyle 2008). These data are used to derive standardised CPUE indices whose temporal trends are assumed to be proportional to the longline exploitable biomass. Improving existing catch effort standardization models for construction of stock assessment indices for key tuna species in the WCPO has been the focus of much research (e.g., Langley 2007). In this paper, we explore and develop alternative standardization models based on the Bayesian estimator and apply these models to albacore catch-effort data from the Japanese distant-water longline fleet. Bayesian models are appealing because they can easily incorporate heterogrenous data and they are flexible in allowing the use of new data (Zhang and Perry 2005, Zhang et al. 2008, Zhang et al. 2009)."
Item type: Meeting Paper
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Holdings
Current library Call number Status Date due Barcode
SPC Special Collections SPC 639.277 83 WES 2009 Available

"WCPFC-SC5-2009/SA-WP-07"

Includes bibliographical references (p. 15-16)

"Catch and effort data from longline fleets are a key input in the assessment of yellowfin, bigeye, skipjack, and albacore tuna stocks in the WCPFC convention area (Hampton et al. 2006a, 2006b; Hoyle 2008). These data are used to derive standardised CPUE indices whose temporal trends are assumed to be proportional to the longline exploitable biomass. Improving existing catch effort standardization models for construction of stock assessment indices for key tuna species in the WCPO has been the focus of much research (e.g., Langley 2007). In this paper, we explore and develop alternative standardization models based on the Bayesian estimator and apply these models to albacore catch-effort data from the Japanese distant-water longline fleet. Bayesian models are appealing because they can easily incorporate heterogrenous data and they are flexible in allowing the use of new data (Zhang and Perry 2005, Zhang et al. 2008, Zhang et al. 2009)."