Document généré le 17/04/2026 depuis l'adresse: https://www.documentation.eauetbiodiversite.fr/fr/notice/evaluating-the-performance-of-survey-based-operational-management-procedures
Titre alternatif
Producteur
Contributeur(s)
Éditeur(s)
EDP Sciences
Identifiant documentaire
10-dkey/10.1051/alr/2010005
Identifiant OAI
oai:edpsciences.org:dkey/10.1051/alr/2010005
Auteur(s):
Marine Pomarede,Richard Hillary,Leire Ibaibarriaga,Johannes Bogaards,Panayiota Apostolaki
Mots clés
FLR fishery simulation system
Management strategy evaluation
Fish survey
Fishery-independent data
Herring
Anchovy
Cod
North Sea
Biscay
Date de publication
17/03/2010
Date de création
Date de modification
Date d'acceptation du document
Date de dépôt légal
Langue
en
Thème
Type de ressource
Source
https://doi.org/10.1051/alr/2010005
Droits de réutilisation
Région
Département
Commune
Description
The design and evaluation of survey-based management strategies is addressed in this article, using three case-study fisheries: North Sea herring, Bay of Biscay anchovy and North Sea cod, with a brief history and the main management issues with each fishery outlined. A range of operational management procedures for the case study stocks were designed and evaluated
using trends that may be derived from survey indices (spawner biomass, year-class strength and total mortality) with an array of simple and more structured observation error regimes simulated. Model-free and model-based indicators of stock status were employed in the management procedures. On the basis of stochastic stock-specific simulations, we identified the following key determinants of successful management procedures: (i) adequate specification of the stock-recruit relationship (model structure, parameter estimates and variability), (ii) knowledge of the magnitude and structure of the variation in the survey indices, and (iii) explication of the particular
management objectives, when assessing management performance. More conservative harvesting strategies are required to meet specified targets in the presence of increasing stochasticity, due to both process and observation error. It was seen that survey-based operational management
procedures can perform well in the absence of commercial data, and can also inform aspects of survey design with respect to acceptable levels of error or bias in the surveys.
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