In search of robust harvest rules for Pacific halibut in the face of uncertain assessments and decadal changes in productivity

Otros responsables
Fecha
03/2002
Editorial
Rosenstiel School of Marine and Atmospheric Science
Revista
Bulletin of Marine Science
Título del libro
Nombre del evento
Fecha del evento
Institución organizadora
ISSN
0007-4977
eISSN
ISBN
Idioma
Inglés
Tipo del evento
Clasificación temática
Palabras clave
Resumen
In the conventional ‘assessment-based approach’, catch quotas are calculated as some target harvest rate (not necessarily fixed) applied to a ‘best’ estimate of exploitable biomass produced by the stock assessment. In the alternative ‘management-procedure approach’, quotas are computed from a predetermined feedback control rule, usually a simple algorithm for adjusting catches in response to monitoring indices. Uncertainty and instability of stock assessments complicate the implementation of the conventional approach. For example, estimates of Pacific halibut biomass have changed substantially from year to year, mostly in response to changes in methodology and newly available survey data. Although the changes improved the assessments, the use of an assessment-based approach to set quotas led to unnecessary disruptions in the fishery. Simulations using operating models derived from recent halibut assessments suggest that a management procedure based on a simple delay-difference model could provide stable and adequate yields and perform similarly to two harvesting strategies considered suitable for Pacific halibut (fixed exploitation rate and constant spawning-biomass-per-recruit), implemented assuming no assessment errors. An advantage of such an approach is that once a robust rule is in place, quota setting can be decoupled from assessment, at least until the latter indicates that modifications are needed.
Colecciones
Aprobación
Revisión
Complementado por
Referenciado por
Licencia Creative Commons
Excepto donde se indique lo contrario, la licencia de este ítem se describe como by-nc-sa
