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Evaluating the performance of survey-based operational management procedures

Published online by Cambridge University Press:  17 March 2010

Marine Pomarede ,
Richard Hillary ,
Leire Ibaibarriaga ,
Johannes Bogaards  and
Panayiota Apostolaki
Marine Pomarede
Affiliation:
Fisheries Group, Imperial College, Division of Biology, Silwood Park, Ascot SL5 7PY, UK
Richard Hillary
Affiliation:
Fisheries Group, Imperial College, Division of Biology, Silwood Park, Ascot SL5 7PY, UK
Leire Ibaibarriaga
Affiliation:
AZTI, Herrera Kaia, Portualdea z/g, 20110 Pasajes, Spain
Johannes Bogaards
Affiliation:
IMARES, PO Box 68, Haringkade 1, 1970 AB, IJmuiden, The Netherlands
Panayiota Apostolaki
Affiliation:
CEFAS, Pakefield road, NR33 OHT, Lowestoft, UK
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Abstract

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.

Keywords

FLR fishery simulation systemManagement strategy evaluationFish surveyFishery-independent dataHerringAnchovyCodNorth SeaBiscay
Type
Research Article
Information
Aquatic Living Resources , Volume 23 , Issue 1 , January 2010 , pp. 77 - 94
Copyright
© EDP Sciences, IFREMER, IRD, 2010

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