Effect of external factors (environment and survey vessel) on fish school characteristics observed by echosounder and multibeam sonar in the Mediterranean Sea

The size of pelagic fish schools depends on several parameters related to internal factors such as species, number of fish, fish swimming speed and physiological status and to external factors, such as hydrological factors and presence of predators. In order to better understand these relations, results coming from echosounder and multibeam sonar databases are analysed. Field data are collected during four acoustic surveys in the Mediterranean Sea in two different areas (Catalan and Adriatic Seas). The analysis shows differences between the two areas regarding size and position in the water column: schools are deeper and their mean size is lower in the Catalan Sea in comparison with Adriatic Sea. The differences in size of schools are mainly related to differences in school length. Moreover, the elongation of schools seen with the sonar is greater than one and half higher in the Adriatic Sea than in the Catalan Sea, whereas one would expect similar values for the two areas. The results are discussed in terms of environmental influence, avoidance reaction and acoustic capabilities of both tools. A hypothesis is proposed: the variation of school length and consecutively the variation of the correlated dimensions is first related to the strength of the avoidance reaction in front of the vessel and this effect can be reinforced depending on the environmental conditions. The model takes into account the effect of the boat, the vertical constraints undergone by the schools, and the internal requirements of the schools, such as the necessity for fish to keep visual contacts and the cohesion of the group.

[1]  C. Scalabrin,et al.  Automatic shoal recognition and classification based on MOVIES-B software , 1994, Proceedings of OCEANS'94.

[2]  Ole Arve Misund,et al.  Tracking herring schools with a high resolution sonar. Variations in horizontal area and relative echo intensity , 1998 .

[3]  Pierre Freon,et al.  La variabilité des tailles individuelles à l'intérieur des cohortes et des bancs de poissons I : Observations et interprétation , 1984 .

[4]  F. Ollevier,et al.  Size structure and feeding dynamics in estuarine clupeoid fish schools: field evidence for the school trap hypothesis , 2002 .

[5]  P. Fréon,et al.  Variability of Harengula spp. school reactions to boats or predators in shallow water , 1993 .

[6]  Pierre Fréon,et al.  Some elements on vertical avoidance of fish schools to a vessel during acoustic surveys , 1992 .

[7]  A. Artegiani,et al.  Adriatic Sea hydrography , 1996 .

[8]  Marc Soria Structure et stabilité des bancs et agrégations de poissons pélagiques côtiers tropicaux : Application halieutique , 1994 .

[9]  Carlos J. Robinson,et al.  Food competition in a shoal of herring: The role of hunger , 1994 .

[10]  Pierre Petitgas,et al.  Spatial organization of pelagic fish: echogram structure, spatio-temporal condition, and biomass in Senegalese waters , 1996 .

[11]  Magnar Aksland,et al.  Schooling dynamics of norwegian spring spawning herring (Clupea harengus L.) in a coastal spawning area , 1996 .

[12]  T. Pitcher Behaviour of Teleost Fishes , 1986 .

[13]  S. Georgakarakos,et al.  Artificial neural networks as a tool for species identification of fish schools , 1996 .

[14]  D. Reid,et al.  Spatio-temporal patterns in herring (Clupea harengus L.) school abundance and size in the northwest North Sea: modelling space–time dependencies to allow examination of the impact of local school abundance on school size , 2002 .

[15]  Anthony J. Booth,et al.  Incorporating the spatial component of fisheries data into stock assessment models , 2000 .

[16]  Pierre Fréon,et al.  From two dimensions to three: the use of multibeam sonar for a new approach in fisheries acoustics , 1999 .

[17]  Jacques Masse,et al.  The structure and spatial distribution of pelagic fish schools in multispecies clusters: an acoustic study , 1996 .

[18]  M. J. Morgan,et al.  The effect of hunger, shoal size and the presence of a predator on shoal cohesiveness in bluntnose minnows, Pimephales notatus Rafinesque , 1988 .

[19]  Werner Stuetzle,et al.  Relating the distribution of pollock schools in the Bering Sea to environmental factors , 1994 .

[20]  Abundance estimation of fish schools based on a relationship between school area and school biomass , 1993 .

[21]  T. Pitcher,et al.  The three-dimensional structure of fish schools , 1980, Behavioral Ecology and Sociobiology.

[22]  Ole Arve Misund,et al.  Dynamics of moving masses: variability in packing density, shape, and size among herring, sprat, and saithe schools , 1993 .

[23]  Pierre Fréon,et al.  Changes in school structure according to external stimuli: description and influence on acoustic assessment , 1992 .

[24]  Pierre Fréon,et al.  Analysis of vessel influence on spatial behaviour of fish schools using a multi-beam sonar and consequences for biomass estimates by echo-sounder , 1996 .

[25]  T. Pitcher Functions of Shoaling Behaviour in Teleosts , 1986 .

[26]  Swimming speed of sardine school on the basis of aerial survey , 1987 .

[27]  Ole Arve Misund,et al.  Recording fish schools by multi-beam sonar: potential for validating and supplementing echo integration recordings of schooling fish , 2000 .

[28]  Alain Hillion,et al.  Narrowband acoustic identification of monospecific fish shoals , 1996 .

[29]  J. Godin,et al.  Body size and shoaling in fish , 2000 .

[30]  T. J. Pitcher,et al.  Hunger motivation as a promoter of different behaviours within a shoal of herring: selection for homogeneity in fish shoal? , 1989 .

[31]  Noël Diner,et al.  MOVIES-B: an acoustic detection description software. Application to shoal species' classification , 1993 .

[32]  Pierre Fréon,et al.  Dynamics of pelagic fish distribution and behaviour : effects on fisheries and stock assessment , 1999 .

[33]  T. Bahri,et al.  Spatial structure of coastal pelagic schools descriptors in the Mediterranean Sea , 2000 .

[34]  T. Mulligan,et al.  Bias Correction of Rockfish School Cross Section Widths from Digitized Echo Sounder Data , 1993 .

[35]  J. Coetzee Use of a shoal analysis and patch estimation system (SHAPES) to characterise sardine schools , 2000 .

[36]  J. Godin,et al.  Predator preferences for attacking particular prey group sizes: consequences for predator hunting success and prey predation risk , 1995, Animal Behaviour.

[37]  Pablo Carrera,et al.  On the relation between schools, clusters of schools, and abundance in pelagic fish stocks , 2001 .

[38]  Ole Arve Misund,et al.  Cross-scale observations on distribution and behavioural dynamics of ocean feeding Norwegian spring-spawning herring (Clupea harengus L.) , 1999 .

[39]  Ole Arve Misund,et al.  Adaptive behaviour of herring schools in the Norwegian Sea as revealed by high-resolution sonar , 1996 .

[40]  Pierre Fréon,et al.  Diel variability of school structure with special reference to transition periods , 1996 .

[41]  G. Swartzman Analysis of the summer distribution of fish schools in the Pacific Eastern Boundary Current , 1997 .

[42]  Jacques Masse,et al.  Acoustic detection of the spatial and temporal distribution of fish shoals in the Bay of Biscay , 1993 .

[43]  T. Pitcher,et al.  Fish school density and volume , 1979 .

[44]  J. Parrish Do Predators 'Shape' Fish Schools: Interactions Between Predators and Their Schooling Prey , 1991 .

[45]  Noël Diner,et al.  Correction on school geometry and density: approach based on acoustic image simulation , 2001 .

[46]  D. V. Radakov Schooling in the ecology of fish , 1973 .

[47]  S. Mackinson,et al.  Variation in structure and distribution of pre‐spawning Pacific herring shoals in two regions of British Columbia , 1999 .