FN Archimer Export Format
PT J
TI A multivariate indicator to monitor changes in spatial patterns of age-structured fish populations
BT 
AF PETITGAS, Pierre
   POULARD, Jean-Charles
AS 1:1;2:1;
FF 1:PDG-DOP-DCN-EMH;2:PDG-DOP-DCN-EMH;
C1 IFREMER, Dep Ecol & Modeles Halieut, F-44311 Nantes 3, France.
C2 IFREMER, FRANCE
SI NANTES
SE PDG-DOP-DCN-EMH
IN WOS Ifremer jusqu'en 2018
IF 1.227
TC 11
UR https://archimer.ifremer.fr/doc/2009/publication-6688.pdf
LA English
DT Article
DE ;Spatial distribution;Monitoring;CUSUM;Multi factor analysis
AB Quantitative analysis of the spatial patterns in age-structured fish populations provides a useful complement to stock assessment methods. The spatial distribution of an age-structured population is characterized by indicators for location, dispersion and aggregation, which are estimated from survey data. The times series of spatial indicators are organised in a 3D data structure with dimensions along indicators, age classes and years. Multi factor analysis (MFA) is applied to quantify the reproducibility in time of the multivariate structure between age classes and indicators. MFA computes the mean annual pattern over the age classes. The deviation around that pattern in each year is also quantified. A multivariate indicator that characterise the spatial pattern over all age classes is developed. Its variation in time is evaluated with quality control methods. The multivariate indicator is shown to be chi(2) distributed and a CUSUM control chart is used to detect any significant changes in time. Software for implementing the method is presented and described. To illustrate this new method, North Sea cod data are analysed, and changes in the spatial patterns of the age-structured population are detected and interpreted.
PY 2009
PD APR
SO Aquatic Living Resources
SN 0990-7440
PU EDP Sciences
VL 22
IS 2
UT 000267128000006
BP 165
EP 171
DI 10.1051/alr/2009018
ID 6688
ER

EF