Consistency in the correlation of school parameters across years and stocks

ICES Journal of Marine Science

Volumn 60, Issue 1, 2003, Pages 164-175

  Muino R ^a   Carrera, P ^b   Petitgas, P ^c   Beare, D J ^d   Georgakarakos, S ^e   Haralambous, J ^e   Iglesias, M ^b   Liorzou, B ^c   Masse J ^c   Reid, D G ^d  

^a UNIVERSITY OF A CORUÑA   (Spain)

^b INSTITUTO ESPAÑOL DE OCEANOGRAFÍA   (Spain)

^c IFREMER   (France)

^d MARINE LABORATORY   (United Kingdom)

^e INSTITUTE OF OCEANOGRAPHY   (Greece)

Author keywords

Acoustic survey; Correlation; Inter stocks variability; Intra stocks variability; School bathymetry; School energy; School morphology; STATIS

Indexed keywords

ACOUSTIC SURVEY; AGGREGATION; BATHYMETRIC SURVEY; CORRELATION; FISH;

EUROPE;

PANTHERA LEO;

EID: 0037303139     PISSN: 10543139     EISSN: None     Source Type: Journal    
DOI: 10.1006/jmsc.2002.1322     Document Type: Article

References (28)

1. Aglen, A. 1994. Sources of error in acoustics estimation of fish abundance. In Marine Fish Behaviour in Capture and Abundance Estimation, pp. 107-133. Ed. by A. Fernø, and S. Olsen. Fishing News Books, Oxford.
2. Carrera, P., Meixide, M., Porteiro, C., and Miquel, J. 2001. Study of the blue whiting movements around the Bay of Biscay using acoustic methods. Fisheries Research, 50: 151-161.
3. Diner, N. 1998. School descriptor variability: approach based on acoustic image simulation. FAST Working Group, Study Group on Echo-Trace Classification, ICES, A Coruña, 18-23 April 1998, 26 pp.
4. Diner, N., Weill, A., Coail, J. Y., and Coudeville, J. M. 1989. INES/MOVIES: A new acoustic data acquisition and processing system. ICES CM 1989/B: 45, 11 pp.
5. Fréon, P., Gerlotto, F., and Soria, M. 1992. Changes in school structure according to external stimuli: description and influence on acoustic assessment. Fisheries Research, 15: 45-66.
6. Fréon, P., and Misund, O. 1999. Schooling behaviour. In Dynamics of Pelagic Fish Distribution and Behaviour: Effects on Fisheries and Stocks Assessment, pp. 56-100. Fishing News Book.
7. Gaertner, J. C., Chessel, D., and Bertrand, J. 1998. Stability of demersal assemblages. A multitable approach. Aquatic Living Resources, 11(2): 75-85.
8. ICES. 2000a. Report of Echotrace Classification. Ed. by D. Reid. ICES Cooperative Research Report. No. 238. 107 pp.
9. ICES. 2000b. Report of Working Group on Fisheries Acoustics Science and Technology. 38 pp.
10. Kennedy, G. J. A., and Pitcher, T. J. 1975. Experiments on homing in shoals of the European minnow, Phoxinus phoxinus (L.). Transactions of the American Fisheries Society, 104: 452-453.
11. Lavit, Ch. 1988. Analyse Conjointe de Tableaux Quantitatifs. Masson, Paris.
12. Lavit, Ch., Escoufier, Y., Sabatier, R., and Traissac, P. 1994. The ACT (statis method). Computational Statistics and Data Analysis, 18: 97-119.
13. Maravelias, C. D. 1999. Habitat selection and clustering of a pelagic fish: effects of topography and bathymerty on species dynamics. Canadian Journal of Fisheries and Aquatic Sciences, 56: 437-450.
14. Maravelias, C. D., and Reid, D. G. 1997. Identifying the effects of oceanographic features and zooplankton on prespawning herring abundance using generalized additive models. Marine Ecology - Progress Series, 147: 1-9.
15. Massé, J., Koutsikopoulos, C., and Patty, W. 1996. The structure and spatial distribution of pelagic fish schools in multispecies clusters: an acoustic study. ICES Journal of Marine Science, 53: 155-160.
16. Meixide, M., Carrera, P., and Miquel, J. 1991. Acoustic abundance estimates of blue whiting off the Spanish Atlantic coast in March-April 1991. ICES CM, 1991/H: 29.
17. Misund, O. A., 1993. Dynamics of moving masses: variability in packing density, shape, and size among herring, sprat, and saithe schools. ICES Journal of Marine Science, 50: 145-160.
18. Misund, O. A., Aglen, A., and Frønæs, E. 1995. Mapping the shape, size and density of fish schools by echo integration and a high-resolution sonar. ICES Journal of Marine Science, 52: 11-20.
19. Ohshimo, S. 1996. Acoustics estimation of biomass and school character of anchovy Engraulis japonicus in the East China Sea and the Yellow Sea. Fisheries Science, 62: 344-349.
20. Partridge, B. L., Pitcher, T. J., Cullen, J. M., and Wilson, J. 1980. The three-dimensional structure of fish schools. Behaviour Ecology and Sociobiology, 6: 277-288.
21. Petitgas, P., Reid, D., Carrera, P., Iglesias, M., Georgakarakos, G., Liorzou, B., and Massé, J. 2001. On the relation between schools, clusters of schools, and abundance in pelagic fish stocks. ICES Journal of Marine Science, 58: 1150-1160.
22. Pitcher, T. J. 1983. Heuristic definitions of shoaling behaviour. Animal Behaviour, 31: 611-613.
23. Reid, D. G., and Simmonds, E. J. 1993. Image analysis techniques for the study of fish school structure from acoustic survey data. Canadian Journal of Fisheries and Aquatic Sciences, 50: 886-893.
24. Scalabrin, C., Weill, A., and Diner, N. 1992. The structure of multidimensional data from acoustics detection of fish schools. In European Conference on Underwater Acoustics, pp. 141-146. Ed. by M. Weydert. Elsevier Applied Science.
25. Scalabrin, C., and Massé, J. 1993. Acoustics detection of the spatial and temporal distribution of fish shoals in the Bay of Biscay. Aquatic Living Resources, 6: 269-283.
26. Scalabrin, C., Diner, N., Weill, A., Hillion, A., and Mouchot, M-C. 1996. Narrowband acoustic identification of monospecific fish shoals. ICES Journal of Marine Science, 53: 181-188.
27. Simmonds, E. J., Armstrong, F., and Copland, P. J. 1996. Species identification using wideband backscatter with neural network and discriminant analysis. ICES Journal of Marine Science, 53: 189-195.
28. Ulltang, Ø. 1980. Factors affecting the reaction of pelagic fish stocks to exploitation and requiring a new approach to assessment and management. Rapports P.-v. Réun. Cons. Int. Explor. Mer, 177: 489-504.