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All issues Volume 19 / No 2 (April-June 2006) Aquat. Living Resour., 19 2 (2006) 115-122 References
Free Access
Issue
Aquat. Living Resour.
Volume 19, Number 2, April-June 2006
Page(s) 115 - 122
DOI https://doi.org/10.1051/alr:2006011
Published online 22 June 2006
  • Angeli N., Cretenoy L., Gerdeaux D., 2001, Importance du peuplement piscicole dans la qualité des eaux: les biomanipulations. In: Gerdeaux D. (Ed.) Gestion piscicole des grands Plans d'Eau, Paris, INRA, pp. 35-74. [Google Scholar]
  • Appenzeller A., 1995, Hydroacoustic measurement of spatial heterogeneity of European whitefish and perch in Lake Constance. Arch. Hydrol. Spec. Issue Adv. Limnol. 46, 261-266. [Google Scholar]
  • Appenzeller A., 1996, Seasonal variability patterns of acoustic estimates of fish biomass and fish size in a lake dominated by coregonids (Lake Constance). Arch. Hydrol. 50, 227-236. [Google Scholar]
  • Arreguin-Sanchez F., 1996, Catchability: a key parameter for fish stock assessment. Rev. Fish Biol. Fish. 6, 221-242. [CrossRef] [Google Scholar]
  • Azzali M., Buracchi G., Conti S., Gambetti S., Luna M., 1985, Relationship between the forms of pelagic fish distribution and nycthemeral periods. A tentative model of behaviour. Oebalia 11, 471-488. [Google Scholar]
  • Bahri T., Fréon P., 2000, Spatial structure of coastal pelagic schools descriptors in the Mediterranean Sea. Fish. Res. 48, 157-166. [CrossRef] [Google Scholar]
  • Bertrand A., Barbieri M.A, Gerlotto F., Leiva F., Córdova J., 2006, Determinism and plasticity of fish schooling behaviour: the example of the South Pacific jack mackerel (Trachurus murphyi). Mar. Ecol. Prog. Ser. 311,145-156. [Google Scholar]
  • Brehmer P., Gerlotto F., Rouault A., 2002, Inter standardization of acoustics devices: an integrated database for fish school studies. Acta Acoust. 88, 730-733. [Google Scholar]
  • Brehmer P., Gerlotto F., Guillard J., Sanguinède F., Guennégan Y., Buestel D., 2003, New applications of hydroacoustic methods for monitoring shallow water aquatic ecosystems: the case of mussel culture grounds. Aquat. Living. Resour. 16, 333-339. [Google Scholar]
  • Brehmer P., 2004, Analyse comparée des caractéristiques dynamiques et spatiales des bancs de Sardinella aurita (Valenciennes 1847) de diverses populations : adaptations comportementales face à l'environnent et à l'exploitation; effet sur la capturabilité. Thèse Doct. Ecole Nat. Sup. Agr. Rennes, France. [Google Scholar]
  • Brehmer P., Gerlotto F., Anchury A., 2005, Comportamiento dinámico y reacción de evitamiento en agregaciones de peces pelágicos ante el estímulo del buque de prospección acústica. Mem. Fund. La Salle Cienc. Nat. 161, 201-214. [Google Scholar]
  • Brehmer P., Vercelli C., Gerlotto F., Sanguinède F., Pichot Y., Buestel Y., Guennégan Y., 2006, Multibeam sonar detection of suspended mussel culture grounds in the open sea: Direct observation methods for management purposes. Aquaculture 252, 234-241. [CrossRef] [Google Scholar]
  • Cachera S., 2005, Suivi piscicole du lac du Bourget - Année 2004. CISALB Rapp. PMA03-2005, 40 p. [Google Scholar]
  • Drastik V., Kubecka J., 2005, Fish avoidance of acoustic survey boat in shallow waters. Fish. Res. 72, 219-228. [CrossRef] [Google Scholar]
  • Eklöv P., Persson L., 1995, Species-specific antipredator capacities and prey refuges: interactions between piscivorous perch (Perca fluviatilis) and juvenile perch and roach (Rutilus rutilus). Behav. Ecol. Sociobiol. 37, 169-178. [Google Scholar]
  • Fernandes P.G., Brierley A.S., Simmonds E.J., Millard N.W., McPhail S.D., Armstrong F., Stevenson P., Squires M., 2000, Fish do not avoid survey vessels. Nature 404, 35-36. [CrossRef] [PubMed] [Google Scholar]
  • Fréon P., Gerlotto F., Soria M., 1996, Diel variability of school structure with special reference to transition periods. ICES J. Mar. Sci. 53, 459-464. [Google Scholar]
  • Fréon P., Misund O.A., 1999, Dynamics of pelagic fish distribution and behaviour: effects on fisheries and stock assessment, Blackwell, London. [Google Scholar]
  • Gerlotto F., Paramo J., 2003, The three-dimensional morphology and internal structure of clupeid schools as observed using vertical scanning multibeam sonar. Aquat. Living Resour. 16, 113-122. [CrossRef] [EDP Sciences] [Google Scholar]
  • Gerlotto F., Castillo J., Saavedra A., Barbieri M.A., Espejo M., Cotel P., 2004, Three-dimensional structure and avoidance behaviour of anchovy and common sardine schools in central southern Chile. ICES J. Mar. Sci. 61, 1120-1126. [Google Scholar]
  • 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. [CrossRef] [Google Scholar]
  • Gerlotto F., Hammitouch C., Simmonds E.J., Georgakarakos S., Fernandes P., 2001, Analyse et visualisation tri-dimensionelle des images sonar. Final report, Fair CT 96 1717, CRHMT, Sète. [Google Scholar]
  • Gillet C., 2001, Le déroulement de la fraie des principaux poissons lacustres. In: Gerdeaux D. (Ed.) Gestion piscicole des grands plans d'eau, Paris, INRA, pp. 241-282. [Google Scholar]
  • Guillard J., Lebourges-Dhaussy A., Brehmer P., 2004, Simultaneous Sv and TS measurements on Young-of-the-Year (YOY) freshwater fish using three frequencies. ICES J. Mar. Sci. 61, 267-273. [CrossRef] [Google Scholar]
  • Guillard J., 1991, Etude des stocks pisciaires lacustres par échointégration : problèmes méthodologiques. Th. Doct. Sci. Univ. Cl. Bernard, Lyon I. [Google Scholar]
  • Guillard J., Angeli N., Borel C., Colon M., 2003, Dynamique saisonnière d'une cohorte de 0+ de perche (Perca fluviatilis) suivie par hydroacoustique dans le lac d'Annecy. CILEF 2003, Montréal, 28-31 July 2003. [Google Scholar]
  • Guillard J., Gerdeaux D., 1993, In situ determination of the target strength of roach (Rutilus rutilus) in lake Bourget with a single beam sounder. Aquat. Living Resour. 6, 285-289. [CrossRef] [EDP Sciences] [Google Scholar]
  • Hensor E., Couzin I.D., James R., Krause J., 2005, Modelling density-dependent fish shoal distributions in the laboratory and field. Oikos 110, 344-352. [Google Scholar]
  • Hoare D.J., Couzin I.D., Godin J.G.J., Krause J., 2004, Context-dependent group size choice in fish. Anim. Behav. 67, 155-164. [Google Scholar]
  • Hoare D.J., Krause J., Peuhkuri N., Godin J.G.J., 2000, Body size and shoaling in fish. J. Fish Biol. 57 1351-1366. [Google Scholar]
  • Hoare D.J., Krause J., 2003, Social organisation, shoal structure and information transfer. Fish Fish. 4, 269-279. [Google Scholar]
  • Jørgensen R., Handegard N.O., Gjøsæter H., Slotte A., 2004, Possible vessel avoidance behaviour of capelin in a feeding area and on a spawning ground. Fish. Res. 69, 251-261. [CrossRef] [Google Scholar]
  • Kahl U., Radke R.J. 2006. Habitat and food resource use of perch and roach in a deep mesotrophic reservoir: enough space to avoid competition? Ecol. Freshw. Fishes 15, 48-56 [Google Scholar]
  • Lawson G.L., Barange M., Fréon P., 2001, Species identification of pelagic fish schools on the South African continental shelf using acoustic descriptors and ancillary information. ICES J. Mar. Sci. 58, 275–287. [Google Scholar]
  • Mackinson S., Freemanb S., Flatta R., Meadows B., 2004, Improved acoustic surveys that save time and money integrating fisheries and ground-discrimination acoustic technologies. J. Exp. Mar. Biol. Ecol. 129-140. [Google Scholar]
  • Magurran A.E., Oulton W.J., Pitcher T.J., 1985, Vigilant behaviour and shoal size in minnows. Z. Tierpsychol. 67, 167-178. [CrossRef] [Google Scholar]
  • Massé J., Koutsikopoulos C., Patty W., 1996, The structure and spatial distribution of pelagic fish schools in multispecies clusters: an acoustic study. ICES J. Mar. Sci. 53, 155-160. [CrossRef] [Google Scholar]
  • Masson S., Angeli N., Guillard J., Pinel-Alloul B., 2001, Diel vertical and horizontal distribution of crustacean zooplankton and YOY fish in a sub alpine lake: an approach base on high frequency sampling. J. Plankton Res. 23, 1041-1060. [Google Scholar]
  • Mayer L., Li Y., Melvin G., 2002, 3D visualization for pelagic fisheries research and assessment. ICES J. Mar. Sci. 59, 216-225. [CrossRef] [Google Scholar]
  • Meillan M., 2003, Construction d'un chalut mésopélagique. Doc. Tech. TMSI pf006302, IFREMER, Brest. [Google Scholar]
  • Milne S.W., Shute B.J., Sprules W.G., 2005, The schooling and foraging ecology of lake herring (Coregonus artedi) in Lake Opeongo, Ontario. Can. J. Fish. Aquat. Sci. 62, 1210-1218. [CrossRef] [Google Scholar]
  • Misund O.A., Coetzee J.C., Fréon P., Gardener M., Olsen K., Svellingen I., Hampton I., 2003, Schooling behaviour of sardine Sardinops sagax in False bay, South Africa. Afr. J. Mar. Sci. 25, 185-193. [CrossRef] [Google Scholar]
  • Muiño R., Carrera P., Petitgas P., Beare D.J., Georgakarakos S., Haralambous J., Iglesias M., Liorzou B., Massé J., Reid D.G., 2003, Consistency in the correlation of school parameters across years and stocks. ICES J. Mar. Sci. 60, 164-175. [CrossRef] [Google Scholar]
  • Nøttestad L., Axelsen E., 1999, Herring schooling manoeuvres in response to killer whale attacks. Can. J. Zool. 77, 1540-1546. [CrossRef] [Google Scholar]
  • Olsen K., Angell J., Pettersen F., Lovik A., 1983, Observed fish reactions to a surveying vessel with special reference to herring, cod, capelin and polar cod. FAO Fish. Rep. 300, 131-138. [Google Scholar]
  • Parrish J., Viscido S., Nbaum D., 2002, Self-organized fish schools: an examination of emergent properties. Biol. Bull. 202, 296-305. [Google Scholar]
  • Perga M., 2004, Origines et flux de carbone dans les réseaux trophiques lacustres : étude par analyse de la composition en isotopes stables du carbone et de l'azote du zooplancton et des poissons. Th. Doct. Univ. Savoie. [Google Scholar]
  • Petitgas P., Levenez 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. [CrossRef] [Google Scholar]
  • Petitgas P., Reid D., Carrera P., Iglesias M., Georgakarakos G., Liorzou B., Massé J., 2001, On the relation between schools, clusters of schools, and abundance in pelagic fish stocks. ICES J. Mar. Sci. 58, 1150-1160. [CrossRef] [Google Scholar]
  • Pitcher T.J., Parrish J.K., 1993, Function of shoaling behavior in teleosts. In: Pitcher T.J. (Ed.) Behaviour of Teleost Fishes, Chapman & Hall, London, pp. 363-439. [Google Scholar]
  • Shaw E., 1961, The development of schooling behaviour in fishes. Physiol. Zool. 34, 263-272. [Google Scholar]
  • Soria M., Bahri T., Gerlotto F., 2003, Effect of external factors (environment and survey vessel) on fish school characteristics observed by echosounder and multibeam sonar in the Mediterranean Sea. Aquat. Living Resour. 16, 145-157 [CrossRef] [EDP Sciences] [Google Scholar]
  • Thorpe J.E., 1977, Morphology, physiology, behavior and ecology of Perca fluviatilis L. and P. flavescens Mitchell. J. Fish. Res. Board Can. 34, 1504–1514. [Google Scholar]
  • Tien J.H., Levin S.A., Rubenstein D.I., 2004, Dynamics of fish shoals: identifying key decision rules. Trends Evol. Ecol. Res. 6, 555-565. [Google Scholar]
  • Troadec J.P., Boncœur J., Boucher J., 2003, Exploitation et surexploitation des ressources marines vivantes. Académies des sciences, Rapp. Science Technol. 17, Tec & Doc., Paris, pp. 16-56. [Google Scholar]
  • Turesson H., Brönmark C., 2004, Foraging behaviour and capture success in perch, pikeperch and pike and the effects of prey density. J. Fish Biol. 65, 363-375. [CrossRef] [Google Scholar]
  • Vabø R., Olsen K., Huse I., 2002, The effect of vessel avoidance of wintering Norwegian spring spawning herring. Fish. Res. 58, 59-77. [CrossRef] [Google Scholar]
  • Ward A.J.W., Duff A.J., Krause J., Barber I., 2005, Shoaling behaviour of sticklebacks infected with the microsporidian parasite, Glugea anomala. Environ. Biol. Fish 72, 155-160. [CrossRef] [Google Scholar]

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