Stock assessment for fishery management - A framework guide to the stock assessment tools of the Fisheries Management Science Programme (FMSP)

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Hogarth, D.D., Abeyasekera, S., Arthur, R.I., J.R., B., Burn, R.W., Halls, A.S., Kirkwood, G.P., McAllister, M., Medley, P., Meeds, C.C., Parkes, G.B., Pilling, G.M., Wakeford, R.C. and Welcomme, R.L., (2006) Stock assessment for fishery management - A framework guide to the stock assessment tools of the Fisheries Management Science Programme (FMSP). FAO Fisheries Technical Paper 487. Food and Agriculture Organization of the United Nations, Rome.

Abstract/Summary

This document provides guidelines for fish stock assessment and fishery management using the software tools and other outputs developed by the United Kingdom's Department for International Development's Fisheries Management Science Programme (FMSP) from 1992 to 2004. It explains some key elements of the precautionary approach to fisheries management and outlines a range of alternative stock assessment approaches that can provide the information needed for such precautionary management. Four FMSP software tools, LFDA (Length Frequency Data Analysis), CEDA (Catch Effort Data Analysis), YIELD and ParFish (Participatory Fisheries Stock Assessment), are described with which intermediary parameters, performance indicators and reference points may be estimated. The document also contains examples of the assessment and management of multispecies fisheries, the use of Bayesian methodologies, the use of empirical modelling approaches for estimating yields and in analysing fishery systems, and the assessment and management of inland fisheries. It also provides a comparison of length- and age-based stock assessment methods. A CD-ROM with the FMSP software packages CEDA, LFDA, YIELD and ParFish is included.

Additional Information ISBN 9789251055038
Item Type Report (UNSPECIFIED)
URI https://reading-clone.eprints-hosting.org/id/eprint/9420
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics > Applied Statistics
Additional Information ISBN 9789251055038
Publisher Food and Agriculture Organization of the United Nations
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