FN Archimer Export Format
PT J
TI Using min/max autocorrelation factors of survey-based indicators to follow the evolution of fish stocks in time
BT 
AF WOILLEZ, Mathieu
   RIVOIRARD, Jacques
   PETITGAS, Pierre
AS 1:1;2:2;3:1;
FF 1:PDG-DOP-DCN-EMH;2:;3:PDG-DOP-DCN-EMH;
C1 IFREMER, Dept EMH, F-44311 Nantes 03, France.
   Ctr Geosci Geostat, F-77300 Fontainebleau, France.
C2 IFREMER, FRANCE
   CTR GEOSCI GEOSTAT, FRANCE
SI NANTES
SE PDG-DOP-DCN-EMH
IN WOS Ifremer jusqu'en 2018
   copubli-france
IF 1.227
TC 18
UR https://archimer.ifremer.fr/doc/2009/publication-6759.pdf
LA English
DT Article
DE ;Fish stock diagnostics;Survey based indicators;Time correlation;Min/max autocorrelation factors
AB 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.
PY 2009
PD JUL
SO Aquatic Living Resources
SN 0990-7440
PU EDP Sciences
VL 22
IS 2
UT 000267128000009
BP 193
EP 200
DI 10.1051/alr/2009020
ID 6759
ER

EF