A new improved method to compute swept area estimates of biomass from commercial catch rate data: Application to Namibian orange roughy (Hoplostethus atlanticus)

Fisheries Research

Volumn 56, Issue 1, 2002, Pages 69-88

  Kirchner, Carola ^a   McAllister, Murdoch ^b  

^a MINISTRY OF FISHERIES AND MARINE RESOURCES   (Namibia)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Biomass estimates; Commercial catch rates; Namibia; Non stationary; Orange roughy; Post stratification

Indexed keywords

BIOMASS; CATCH STATISTICS; ESTIMATION METHOD; FISH; HETEROGENEITY;

NAMIBIA;

ATLANTICUS; HOPLOSTETHUS; HOPLOSTETHUS ATLANTICUS;

EID: 0036232959     PISSN: 01657836     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-7836(01)00311-3     Document Type: Article

References (12)

1. Spatial variation in reproduction, and occurrence of non-reproductive adults, in orange roughy, Hoplostethus atlanticus collett (Trachichthyidae), from southeastern Australia
2. Changes in a population of orange roughy, Hoplostethus atlanticus, with commercial exploitation on the challenger plateau
3. The effects of commercial exploitation on orange roughy (Hoplostethus atlanticus) from the continental slope of the Chatman Rise, New Zealand, from 1979 to 1997
4. Use of risk analysis to assess fishery management strategies: A case study using orange roughy (Hoplostethus atlanticus) on the Chatham Rise
5. Bayesian stock assessment using catch-at-age data and the sampling/importance resampling algorithm
6. Bayesian stock assessment and policy evaluation: A review and example application using the logistic model
7. A Bayesian approach to stock assessment and harvest decisions using the sampling/importance resampling algorithm
8. Stock abundance estimation using depth-dependent trends and spatially correlated variation