Ecosystem Approach to Fisheries
Free Access
Aquat. Living Resour.
Volume 22, Number 4, October-December 2009
Ecosystem Approach to Fisheries
Page(s) 433 - 445
Published online 01 September 2009
  • Axenrot T., Didrikas T., Danielsson C., Hansson S., 2004, Diel patterns in pelagic fish behaviour and distribution observed from a stationary, bottom-mounted, and upward-facing transducer. ICES J. Mar. Sci. 61, 1100–1104. [CrossRef]
  • Berger L., Poncelet C., Trenkel V.M., 2009, A method for reducing uncertainty in estimates of fish-school frequency response using data from multifrequency and multibeam echosounders. ICES J. Mar. Sci. 66, 1155–1161. [CrossRef]
  • Bertrand A., Barbieri M.A., Gerlotto, F., Leiva F., Córova J., 2006, Determinism and plasticity of fish schooling behaviour as exemplified by the South Pacific jack mackerel Trachurus murphyi. Mar. Ecol. Prog. Ser. 311, 145–156. [CrossRef]
  • Bertrand A., Gerlotto F., Bertrand S., Gutiérrez M., Alza L., Chipollini A., Díaz E., Espinoza P., Ledesma J., Quesquén R., Peraltilla S., Chavez F., 2008, Schooling behaviour and environmental forcing in relation to achoveta distribution: An analysis across multiple spatial scales. Prog. Oceanogr. 79, 264–277. [CrossRef]
  • Bourguignon S., Berger L., Scalabrin C., Fablet R., Mazauric V., 2009, Methodological developments for improved bottom detection with the ME70 multibeam echosounder. ICES J. Mar. Sci. 66, 1015–1022. [CrossRef]
  • Brehmer P., Georgakarakos S., Josse E., Trygonis V., Dalen J., 2007, Adaptation of fisheries sonar for monitoring schools of large pelagic fish: dependence of schooling behaviour on fish finding efficiency. Aquat. Living Resour. 20, 377–384. [CrossRef] [EDP Sciences]
  • Burgos J.M., Horne J.K., 2007, Sensitivity analysis and parameter selection for detecting aggregations in acoustic data. ICES J. Mar. Sci. 64, 160–168.
  • Burgos J.M., Horne J.K., 2008, Characterization and classification of acoustically detected fish spatial distributions. ICES J. Mar. Sci. 65, 1235–1247. [CrossRef]
  • Castillo J., Barbieri M.A., Gonzalez A., 1996, Relationships between sea surface temperature, salinity and pelagic fish distribution off northern Chile. ICES J. Mar. Sci. 53, 139–146. [CrossRef] [MathSciNet]
  • Coetzee J., 2000, Use of a shoal analysis and patch estimation system (SHAPES) to characterise sardine schools. Aquat. Living Resour. 13, 1–10. [CrossRef] [EDP Sciences]
  • Cutter Jr. G.R., Demer D.A., 2007, Accounting for scattering directivity and fish behaviour in multibeam-echsounder surveys. ICES J. Mar. Sci. 64, 1664–1674. [CrossRef]
  • Dalen J., Nedreaas K., Pedersen R., 2003, A comparative acoustic-abundance estimation of pelagic redfish (Sebastes mentella) from hull-mounted and deep-towed acoustic systems. ICES J. Mar. Sci. 60, 472–479. [CrossRef]
  • De Robertis A., Hjellvik V., Williamson N.J., Wilson C.D., 2008, Silent ships do not always encounter more fish: comparison of acoustic backscatter recorded by a noise-reduced and a conventional research vessel. ICES J. Mar. Sci. 65, 623–635. [CrossRef]
  • Demer D.A., Renfree J.S., 2008, Variations in echosounder-transducer performance with water temperature. ICES J. Mar. Sci. 65, 1021–1035. [CrossRef]
  • Diner N., Le Men R., 1983, Evaluation acoustique des stocks de poisson pélagiques dans la partie sud du golfe de Gascogne en avril-mai 83. ICES CM 1983/H: 44.
  • Diner N., 1999, Correction of school geometry and density: an approach based on acoustic image simulation. ICES Coop. Res. Rep. 238, 27–51.
  • Diner N., 2001, Correction on school geometry and density: approach based on acoustic image simulation. Aquat. Living Resour. 14, 211–222. [CrossRef] [EDP Sciences]
  • Doray M., Josse E., Gervain P., Reynal L., Chantrel J., 2007, Joint use of echosounding, fishing and video techniques to assess the structure of fish aggregations around moored Fish Aggregating Devices in Martinique (Lesser Antilles). Aquat. Living Resour. 20, 357–366. [CrossRef] [EDP Sciences]
  • Doucet A., 1998, On sequential simulation-based methods for Bayesian filtering. Signal Processing Department, University, Cambridge.
  • Fabi G., Sala A., 2002, An assessment of biomass and diel activity of fish at an artificial reef (Adriatic Sea) using a stationary hydroacoustic technique. ICES J. Mar. Sci. 59, 411–420. [CrossRef]
  • Fablet R., Lefort R., Karoui I., Berger L., Massé J., Scalabrin C., Boucher J.M., 2009, Classifying fish schools and estimating their species proportions in fishery-acoustic surveys. ICES J. Mar. Sci. 66, 1136–1142. [CrossRef]
  • Fässler S.M.M., Santos R., García-Nuñez N., Fernandes P.G., 2007, Multifrequency backscattering properties of Atlantic herring (Clupea harengus) and Norway pout (Trisopterus esmarkii). Can. J. Fish. Aquat. Sci. 64, 362–374. [CrossRef]
  • Fernandes P.G., Brierley A.S., Simmonds E.J., Millards N.W., McPhail S.D., Armstrong F., Stevenson P., Squires M., 2000, Fish do not avoid survey vessels. Nature 404, 35–36. [CrossRef] [PubMed]
  • Fernandes P.G., Stevenson P., Brierley A.S., Armstrong F., Simmonds E.J., 2003, Autonomous underwater vehicles: future platforms for fisheries acoustics. ICES J. Mar. Sci. 60, 684–691. [CrossRef]
  • Foote K.G., 2006, Optimizing two targets for calibrating a broadband multibeam sonar. Oceans 2006 Conference, Boston MA, Vol. 1–4, pp. 1499–1502.
  • Fréon P., Cury P., Shannon L., Roy C., 2005, Sustainable exploitation of small pelagic fish stocks challenged by environmental and ecosystem changes: a review. Bull. Mar. Sci. 76, 385–462.
  • Gerlotto F., 1993, Identification and spatial stratification of tropical fish concentrations using acoustic populations. Aquat. Living Resour. 6, 243–254. [CrossRef] [EDP Sciences]
  • 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]
  • 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]
  • 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. [CrossRef]
  • Gorska N., Ona E., Korneliussen R., 2005, Acoustic backscattering by Atlantic mackerel as being representative of fish that lack a swimbladder, backscattering by individual fish. ICES J. Mar. Sci. 62, 984–995. [CrossRef]
  • Hamitouche-Djabou C., Togni S., Lecornu L., 1999, SBI Viewer: 3D fish schools and sea bottom analysis and visualisation software. User's Guide. AVITIS Contract FAIR CT 96-1717, Development release 3–10 June, 1999 Dpt ITI, ENST-Bretagne, Brest.
  • Hammond T.R., Swartzman G.L., 2001, A general procedure for estimating the composition of fish school clusters using standard acoustic survey data. ICES J. Mar. Sci. 58, 1115–1132. [CrossRef]
  • Handegard N.O., Tjøstheim, D., 2005, When fish meet a travelling vessel: examining the behaviour of gadoids using a free-floating buoy and acoustic split-beam tracking. Can. J. Fish. Aquat. Sci. 62, 2409–2422. [CrossRef]
  • Haralambous J., Georgakarakos S., 1996, Artificial neural networks as a tool for species identification of fish schools. ICES J. Mar. Sci. 53, 173–180. [CrossRef]
  • ICES, 2005, Description of the ICES HAC standard data exchange format, Version 1.60. ICES Coop. Res. Rep. 278.
  • Jech J.M., Michaels W.L., 2006, A multifrequency method to classify and evaluate fisheries acoustics data. Can. J. Fish. Aquat. Sci. 63, 2225–2235. [CrossRef]
  • Kloser R.J., 1996, Improved precision of acoustic surveys of benthopelagic fish by means of deep-towed transducer. ICES J. Mar. Sci. 53, 407–413. [CrossRef]
  • Kloser R.J., Ryan T., Sakov A., Williams A., Koslow J.A., 2002, Species identification in deep water using multiple acoustic frequencies. Can. J. Fish. Aquat. Sci. 59, 1065–1077. [CrossRef]
  • Korneliussen R., Ona E., 2003, Synthetic echograms generated from relative frequency response. ICES J. Mar. Sci. 60, 636–640. [CrossRef]
  • Korneliussen R.J., Diner N., Ona E., Berger L., Fernandes P.G., 2008, Proposals for the collection of multifrequency acoustic data. ICES J. Mar. Sci. 65, 982–994. [CrossRef]
  • Koslow, J.A. 2009, The role of acoustics in ecosystem-based fishery management. ICES J. Mar. Sci. 66, 966–973.
  • Lecornu L., Burdin V., Scalabrin C., Hamitouche C., 1998, Fish school analysis from multibeam sonar image processing. Oceans 98 Conference, Nice, pp. 587–591.
  • Lurton X., 2000, Swath bathymetry using phase difference: Theoretical analysis of acoustical measurement precision. IEEE J. Ocean. Engine. 25, 351–363. [CrossRef]
  • Lurton, X., 2002, An introduction to underwater acoustics: Principles and applications. Springer Verlag.
  • MacLennan D.N., Copland P.J., Armstrong E., Simmonds E.J., 2004, Experiments on the discrimination of fish and seabed echoes. ICES J. Mar. Sci. 61, 201–210. [CrossRef]
  • Massé J., Rouxel C., 1991, Improvement in acoustic assessments by discrimination of pelagic shoals with INES/MOVIES system. ICES Annual Science Conference, CM 1991/B:26.
  • Massé J., 1996, Acoustic observations in the Bay of Biscay: schooling, vertical distribution, species assemblages and behaviour. Sci. Mar. 60 (Suppl. 2), 227–234.
  • 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]
  • Massé J., Gerlotto F., 2003, Introducing nature in fisheries research: the use of underwater acoustics for an ecosystem approach of fish population. Aquat. Living Resour. 16, 107–112. [CrossRef]
  • Moreno G., Josse E., Brehmer P., Nøttestadd L., 2007, Echotrace classification and spatial distribution of pelagic fish aggregations around drifting fish aggregating devices (DFAD). Aquat. Living Resour. 20, 343–356. [CrossRef] [EDP Sciences]
  • Ona E., Mitson R.B., 1996, Acoustic sampling and signal processing near the seabed: the deadzone revisited. ICES J. Mar. Sci. 53, 677–690. [CrossRef]
  • Ona E., Godø O.R., Handegard N.O., Hjellvik V., Patel R., Pedersen G., 2007, Silent research vessels are not quiet. J. Acoust. Soc. Am. 121, 145–150.
  • Ona E., Mazauric V., Andersen L.N., 2009, Calibration methods for two scientific multibeam systems. ICES J. Mar. Sci. 66, 1326–1334. [CrossRef]
  • Opderbecke J., Laframboise J.-M., 2007, AUVs for oceanographic science at IFREMER, project progress and operational feedback. Oceans 2007 Conference, Vancouver, Vol. 1–5, pp. 356–360.
  • Orlowski A., 2005, Experimental verification of the acoustic characteristics of the clupeoid diel cycle in the Baltic. ICES J. Mar. Sci. 62, 1180–1190. [CrossRef]
  • Patel R., Handegard N.O., Godø O.R., 2004, Behaviour of herring (Clupea harengus L.) towards an approaching autonomous underwater vehicle. ICES J. Mar. Sci. 61, 1044–1049. [CrossRef]
  • Petitgas P., Reid D., Carrera P., Iglesias M., Georgakarakos S., Liorzou B., Massé, J., 2001, On the relation between schools, clusters of schools, and abundance in pelagic fish stocks. ICES J. Mar. Sci. 58, 1150–2001. [CrossRef]
  • Petitgas P., Massé J., Beillois P., Lebarbier E., Le Cann, A., 2003, Sampling variance of species identification in fisheries-acoustic surveys based on automated procedures associating acoustic images and trawl hauls. ICES J. Mar. Sci. 60, 437–445. [CrossRef]
  • Petitgas P., Massé J., Bourriau P., Bellois P., Bergeron J.-P., Delmas D., Herbland A., Koueta N., Froidefond M., Santos, M., 2006, Hydro-plankton characteristics and their relationship with sardine and anchovy distributions on the French shelf of the Bay of Biscay. Sci. Mar. 70S1, 161–172.
  • Planque B., Lazure P., Jégou A.-M., 2004, Detecting hydrological landscapes over the Bay of Biscay continental shelf in spring. Climate Res. 28, 41–52. [CrossRef]
  • Rigaud V., 2007, Innovation and operation with robotized underwater systems. J. Field Robotics 24, 449–459. [CrossRef]
  • Scalabrin C., Massé J., 1993, Acoustic detection of the spatial and temporal distribution of fish shoals in the Bay of Biscay. Aquat. Living Resour. 6, 269–283. [CrossRef] [EDP Sciences]
  • Scalabrin C., Diner N., Weill A., Hillion A., Mouchot M.C., 1996, Narrowband acoustic identification of monospecific fish schools. ICES J. Mar. Sci. 53, 181–188. [CrossRef]
  • Scalabrin C., Diner N., Veron G., Choqueuse D., Sanchez F., 2005, Autonomous bottom moored acoustic observatory for fisheries resources monitoring. Oceans 2005 Conference, Brest, Vol. 1–2.
  • Scalabrin C., Marfia C., Boucher J., 2009, How much fish is hidden in surface and bottom acoustic blind zones? ICES J. Mar. Sci. 66, 1355–1363.
  • Simmonds E.J., MacLennan D.N., 2005, Fisheries acoustics. Theory and practice. 2nd edition. Blackwell, Oxford.
  • 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]
  • Totland A., Johansen G.O., Godø O.R., Ona E., Torkelsen T., 2009, Quantifying and reducing the surface blind zone and the seabed dead zone using new technology. ICES. Mar. Sci. 66, 1370–1376. [CrossRef]
  • Trenkel V.M., Mazauric V., Berger L., 2008, The new multibeam fisheries echosounder ME70: description and expected contribution to fisheries research. ICES J. Mar. Sci. 65, 645–655. [CrossRef]
  • Trevorrow M.V., 2005, The use of moored inverted echo sounders for monitoring meso-zooplankton and fish near the ocean surface. Can. J. Fish. Aquat. Sci. 62, 1004–1018. [CrossRef]
  • Trygonis V., Georgakarakos S., Simmonds E.J., 2009, An operational system for automatic school identification on multi-beam sonar echoes. ICES J. Mar. Sci. 66, 935–949. [CrossRef]
  • Villalobos H., 2008, Évolution de l'écosystème pélagique du golfe de Gascogne pendant la période 1990-2003. Conséquences sur la capturabilité des espèces. PhD, Université de Bretagne Occidentale.
  • Weill A., Scalabrin C., Diner N., 1993, MOVIES-B: an acoustic detection description software. Application to shoal species' classification. Aquat. Living Resour. 6, 255–267.
  • Zwolinski J., Morais A., Marques V., Stratoudakis Y., Fernandes P.G., 2007, Diel variation in the vertical distribution and schooling behaviour of sardine (Sardina pilchardus) off Portugal. ICES J. Mar. Sci. 64, 963–972. [CrossRef]

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