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The performance of VPA-based management

The performances of management procedures (combinations of estimation methods and harvest strategies) based on Laurec-Shepherd ad hoc tuned Virtual Population Analysis (VPA) are examined using Monte Carlo simulation. The evaluation considers the qualitative impact on performance of the initial state...

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Bibliographic Details
Published in:Fisheries research 1997-03, Vol.29 (3), p.217-243
Main Author: Punt, A.E.
Format: Article
Language:English
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Summary:The performances of management procedures (combinations of estimation methods and harvest strategies) based on Laurec-Shepherd ad hoc tuned Virtual Population Analysis (VPA) are examined using Monte Carlo simulation. The evaluation considers the qualitative impact on performance of the initial state of the resource, the time series of historical catches, the productivity of the resource, the extent of observation and process error, and the values for some biological parameters. The performance of a management procedure based on the F 0.1 harvest strategy is adequate for scenarios typical of many demersal fish species in terms of conservation objectives although some potential loss in yield occurs if the management procedure is applied to an initially underexploited resource. Performance degrades markedly when the observational data are very noisy, although for the catch-at-age data, the level of noise at which performance degradation occurs is rare for most stocks. A very high positive correlation between recruitment anomalies, high variation about the stock-recruitment relationship, and the use of an overestimate of the rate of natural mortality in assessments also leads to an inability to achieve management objectives. If permitting depleted stocks to recover is of importance to management, it appears preferable to attempt to estimate a stock-recruitment relationship than to assume that recruitment is independent of spawner stock size. It is shown that a management procedure based on VPA outperforms a comparative procedure based on a surplus production model for populations which are slightly below their initial levels when the management procedure is first applied.
ISSN:0165-7836
1872-6763
DOI:10.1016/S0165-7836(96)00539-5