The three-dimensional morphology and internal structure of clupeid schools as observed using vertical scanning multibeam sonar

Aquatic Living Resources

Volumn 16, Issue 3, 2003, Pages 113-122

  Gerlotto, François ^a   Paramo, Jorge ^b  

^a Inst de Rech pour le Dévmt   (Chile)

^b UNIVERSITY OF CONCEPCIÓN   (Chile)

Author keywords

3D image; Fish behaviour; Fish school; Fisheries acoustics; Structure

Indexed keywords

ACOUSTIC METHOD; CLUPEOID; MULTIBEAM SONAR; SCHOOLING BEHAVIOR;

CLUPEIDAE;

EID: 0041694471     PISSN: 09907440     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0990-7440(03)00027-5     Document Type: Conference Paper

References (39)

1. Anonymous, 1993. Foreword: the spatial organization of aquatic populations as observed using hydroacoustic methods. Aquat. Living Resour 6, 171-174.
2. Aoki, I., Inagaki, T., 1988. Photographic observations on the behaviour of Japanese anchovy Engraulis japonica at night in the sea. Mar. Ecol. Prog. Ser. 43, 213-221.
3. Axelsen, B.E., Anker-Nilssen, T., Fossum, P., Kvamme, C., Nøttestad, L., 2001. Pretty patterns but a simple strategy: predator-prey interactions between juvenile herring and Atlantic puffins observed with multibeam sonar. Can. J. Zool., 1586-1596.
4. Bahri, T., 2000. Relation entre des variables environnementales et la distribution et structure de la biomasse de poissons pélagiques côtiers en Méditerranée. Thèse Doct. Univ., Paris.
5. Breder Jr., C.M., 1976. Fish schools as operational structures. Fish. Bull. 74, 471-502.
6. Couzin, I.D., Krause, J., James, R., Ruxton, G.D., Franks, N.R., 2002. Collective memory and spatial sorting in animal groups. J. Theor. Biol. 218, 1-11.
7. Cushing, D.H., 1977. Observations on fish shoals with the ARL scanner. Rapp. R-v. Réun. Cons. Int. Explor. Mer 170, 15-20.
8. Diner, N., 2001. Correction on school geometry and density: approach based on acoustic image simulation. Aquat. Living Resour. 14, 211-222.
9. Diner, N., Massé, J., 1987. Fish School Behaviour during Echo Survey Observed by Acoustic Devices International Symposium on Fisheries Acoustics, 1987 Seattle.
10. Fernandes, P.G., Gerlotto, F., Soria, M., Simmonds, E.J., 1998. Into the next dimension: three-dimensional acoustic observations of fish school aggregations ICES C.M 1998/J:33.
11. Fréon, P., Gerlotto, E, Soria, M., 1992. Changes in school structure according to external stimuli: description and influence on acoustic assessment. Fish. Res. 15, 45-66.
12. Fréon, P., Misund, O.A., 1999. Fishing News Books. Blackwell Science Dynamics of Pelagic Fish Distribution and Behaviour: Effects on Fisheries and Stock Assessment.
13. Gerlotto, F., 1993. Méthodologie d'observation et d'évaluation par hydroacoustique des stocks tropicaux de poissons pélagiques côtiers: impact du comportement et de la distribution spatiale. Thèse Doctorat Univ. Bretagne Occidentale, Brest.
14. Gerlotto, F., Soria, M., Fréon, P., 1999. From two dimensions to three: the use of multibeam sonar for a new approach in fisheries acoustics. Can. J. Fish. Aquat. Sci. 56, 6-12.
15. Gonzalez, L., Gerlotto, F., Cardenas, J.J., 1998. Pelagic fish populations in Eastern Venezuela: impact of the environmental characteristics on the morphology, aggregation and spatio-temporal distribution of Sardinella aurita schools ICES ASC.
16. Huth, A., Wissel, C., 1993. Analysis of the behavior and the structure of fish schools by means of computer simulation. J. Comments Theor. Biol. 3, 169-201.
17. Johannesson, K.A., Losse, G.F., 1977. Methodology of acoustic estimations of fish abundance in some UNDP/FAO resource survey projects. Rapp. P.-v. Réun Cons. Int. Explor. Mer 170, 296-318.
18. Lecornu, L., Burdin, V., Scalabrin, C., Hamitouche-Djabou, C., 1998. Fish school analysis from multibeam sonar image processing. Oceans 98, Engineering for sustainable use of the oceans: Conference Proceedings September 1998, Nice, vol. 1. IEEE Service Center, Piscataway, NJ, USA. vol: 1, pp. 587-591.
19. Mackinson, S., 2000. A adaptive fussy expert system for predicting structure, dynamics and distribution of herring shoals. Ecol. Model. 126, 155-178.
20. Mayer, L., Li, Y., Melvin, G., 2002. 3D visualisation for pelagic fisheries research and assessment. ICES J. Mar. Sci. 59, 216-225.
21. Medwin, H., Clay, C.S., 1998. Fundamentals of Acoustical Oceanography. Academic Press, San Diego, USA.
22. Misund, O.A., 1993. Dynamics of moving masses: variability in packing density, shape, and size among herring, sprat, and saithe schools. ICES J. Mar. Sci. 50, 145-160.
23. Misund, O.A., Aglen, A., Froenaes, E., 1995. Mapping the shape, size and density of fish schools by echo integration and a high-resolution sonar. ICES J. Mar. Sci. 52, 11-20.
24. Oshihimo, S., 1996. Acoustic estimation of biomass and school character of anchovy Engraulis japonicus in the East China Sea and the Yellow Sea. Fish. Sci. 62, 344-349.
25. Parrish, J.K., Hamner, W.M., Prewitt, C.T., 1997. Introduction - from individuals to aggregation: unifying properties, global framework, and the holy grails of congregation. In: Parrish, J.K., Hamner, W.M (Eds.), Animal Groups in Three Dimensions. Cambridge University Press, pp. 1-13.
26. Parrish, J.K., Turchin, P., 1997. Individual decisions, traffic rules, and emergent patterns in schooling fish. In: Parrish, J.K., Hamner, W.M (Eds.), Animal Groups in Three Dimensions. Cambridge University Press, pp. 126-142.
27. Partridge, B.L., Pitcher, T.J., Cullen, J.M., Wilson, J., 1983. The three-dimensional structure of fish schools. Behav. Ecol. Sociobiol. 6, 277-288.
28. Petitgas, P., Lévenez, J.J., 1996. Spatial organization of pelagic fish: echogram structure, spatio-temporal condition, and biomass in Senegalese waters. ICES J. Mar. Sci. 53, 147-153.
29. Pitcher, T.J., Parrish, J.K., 1993. Functions of schooling behaviour in treleosts. In: Pitcher, T.J (Ed.), Behavior of Teleosts Fish. Chapman & Hall, London, pp. 363-439.
30. Radakov, D.V., 1973. Schooling in the Ecology of Fish. Wiley, New York (USA), Jerusalem (ISR) (Israel Program for Scientific Translations).
31. Reid, D.G., 2000. Cooperative Report on Echo trace classification. ICES Coop. Res. Rep., 238.
32. Rose, G.A., Leggett, W.C., 1988. Hydroacoustic signal classification of fish schools by species. Can. J. Fish. Aquat. Sci. 45, 597-604.
33. Scalabrin, C., 1997. Identification acoustique des espèces pélagiques à partir d' attributs discriminants des bancs de poissons monospécifiques. Thèse dr. Univ. Bretagne Occidentale, Brest.
34. Simmonds, E.J., Gerlotto, F., Fernandes, P., MacLennan, D., 1999. Observation and extraction of three-dimensional information on fish schools. J. Acoust. Soc. Am. 105, 996.
35. Simmonds, E., Williamson, N.J, Gerlotto, F., Aglen, A., 1992. Acoustic survey design and analysis procedures: a comprehensive review of current practice. ICES Coop. Res. Rep., 187.
36. Soria, M., 1994. Structure et stabilité des bancs et agrégations de poissons pélagiques côtiers tropicaux: application halieutique. Thèse Doct., Univ., Rennes I.
37. Soria, M., 1997. Le banc de poissons: expression d'une motivation sociale ou comportement collectif d' un groupe auto-organisé? In: Theraulaz, G., Spitz, F (Eds.), Auto-organisation et comportement. Hermes, Paris, pp. 141-155.
38. Soria, M., Freon, P., Gerlotto, F., 1996. Analysis of vessel influence on spatial behaviour of fish schools using a multi-beam sonar and consequences for biomass estimates by echo-sounder. ICES J. Mar. Sci. 53, 453-458.
39. Vabø, R., Nøttestad, L., 1997. An individual based model of fish school reactions: prediction of antipredator behaviour as observed in nature. Fish. Oceanogr. 6, 155-171.