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Using min/max autocorrelation factors of survey-based indicators to follow the evolution of fish stocks in time ArchiMer
Woillez, Mathieu; Rivoirard, Jacques; Petitgas, Pierre.
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...
Tipo: Text Palavras-chave: Fish stock diagnostics; Survey based indicators; Time correlation; Min/max autocorrelation factors.
Ano: 2009 URL: http://archimer.ifremer.fr/doc/2009/publication-6759.pdf
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Monitoring small pelagic fish in the Bay of Biscay ecosystem, using indicators from an integrated survey ArchiMer
Doray, Mathieu; Petitgas, Pierre; Huret, Martin; Duhamel, Erwan; Romagnan, Jean-baptiste; Authier, Matthieu; Dupuy, Christine; Spitz, Jerome.
This paper is a practical contribution to two important debates raised by the implementation of marine ecosystem based management: (i) which ecosystem data can be provided by a fisheries survey optimised for ecosystem monitoring; and (ii) how to combine/select potential indicators to derive useful information on marine ecosystem status and dynamics? A suite of 143 potential indicators, including spatial indices, representing small pelagic fish and their biotic and abiotic environments are presented. Indicators were routinely derived from the PELGAS integrated ecosystem survey conducted in spring in the Bay of Biscay (BoB). The general patterns over time in this suite of 5–16 years, non-stationary time series are characterised using a methodology based on...
Tipo: Text Palavras-chave: Min/max autocorrelation factors; Time correlation; Survey-based indicators; Marine Strategy Framework Directive; Ecosystem variability; Bay of Biscay; Pelagic ecosystem.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00414/52552/53443.pdf
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