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Modelling stock recruitment relationships to examine stock management policies

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/35329

Title: Modelling stock recruitment relationships to examine stock management policies
Authors: Kimoto, A. Browse this author
Mouri, T. Browse this author
Matsuishi, T. Browse this author →KAKEN DB
Keywords: Beverton and Holt
nonparametric
operating model
recruitment prediction
Ricker
simulation
stock-recruitment relationship
Issue Date: Jul-2007
Publisher: Oxford University Press
Journal Title: ICES Journal of Marine Science
Journal Title(alt): Journal du conseil
Volume: 64
Issue: 5
Start Page: 870
End Page: 877
Publisher DOI: 10.1093/icesjms/fsm054
Abstract: Simulation studies are widely used for fish stock management. In these studies, the forecasting of future recruitment, which can vary greatly between years, has become an essential part of evaluating management strategies. We propose a new forecasting algorithm to predict recruitment for short or medium term stochastic projections using a stock-recruitment relationship. We specifically address cases in which the spawning stock has dropped below previously observed levels, or in which predicted recruitment is situated close to the maximum observed level. The relative prediction error of seven existing algorithms was compared to the new model using leave-one-out cross-validation for 61 datasets from ICES, the Japanese Fisheries Agency, and PICES. The new algorithm had the smallest prediction error for 49 of the datasets, but was slightly biased by the precautionary treatment of high recruitment predictions.
Type: article (author version)
URI: http://hdl.handle.net/2115/35329
Appears in Collections:水産科学院・水産科学研究院 (Graduate School of Fisheries Sciences / Faculty of Fisheries Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 松石 隆

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