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Using min/max autocorrelation factors of survey-based indicators to follow the evolution of fish stocks in time

Published online by Cambridge University Press:  17 June 2009

Mathieu Woillez ,
Jacques Rivoirard  and
Pierre Petitgas
Mathieu Woillez
Affiliation:
IFREMER, Département EMH, BP 21105, 44311 Nantes Cedex 03, France
Jacques Rivoirard
Affiliation:
Mines-ParisTech, Centre de Géosciences/Géostatistique, 35 rue St Honoré, 77300 Fontainebleau, France
Pierre Petitgas
Affiliation:
IFREMER, Département EMH, BP 21105, 44311 Nantes Cedex 03, France
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Abstract

Fisheries research monitoring surveys provide an ensemble of measurements on fish stocks and their environment. Because the interannual variability in such survey-based indicators is high and because diagnostics on fish stocks cannot be based on noise, our concern is to make use of what is continuous in time to obtain a reliable diagnostic. In this paper, we show how min/max autocorrelation factors (MAFs) can be useful for assessing the status of a fish stock. Indeed, MAFs will allow us to (i) summarize the multivariate indicator signals into orthogonal factors that are continuous in time, (ii) select those indicators that carry the major signal in time, and (iii) forecast stock status by modelling the time continuity of the MAFs. These different potential uses of MAFs in an indicator-based approach to assessment were illustrated with North Sea cod, for which a suite of biological and spatial indicators are available over a 21-year survey series.

Keywords

Minmax autocorrelation factorsTime correlationSurvey-based indicatorsFish stock diagnostics
Type
Research Article
Information
Aquatic Living Resources , Volume 22 , Issue 2: Fish Stock Assessments Using Surveys and Indicators , April 2009 , pp. 193 - 200
Copyright
© EDP Sciences, IFREMER, IRD, 2009

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