Joint use of echosounding, fishing and video techniques to assess the structure of fish aggregations around moored Fish Aggregating Devices in Martinique (Lesser Antilles)

From April 2003 to April 2004 monthly sea surveys were conducted around 2 fish aggregating devices (FADs) moored at 2000 and 2500 m depth in Martinique (Lesser Antilles). The use of a dual frequency splitbeam echosounder combined with an underwater camera and fishing methods allowed assessment of average space and time distribution of pelagic fish aggregated beneath the FADs, as well as identification of their overall size and species com- position. At daytime, 4 fish aggregations were identified at each FAD, representing 4 distinct types: i) an aggregation of small juvenile tuna (mean fork length, FL: 30 cm) observed very close to the surface in 25% of daytime periods; ii) a small surface aggregation dominated by carangids, Caranx crysos, present in 65% of daytime periods; iii) a large sub- surface aggregation observed during all daytime periods: this aggregation appeared to be primarily comprised of 58 cm FL blackfin tuna (Thunnus atlanticus), mixed with yellowfin (Thunnus albacares) and skipjack (Katsuwonus pelamis) tunas of the same size; and iv) sub-surface scattered large predators (mainly blue marlin, Makaira nigricans )p resent in 10% of daytime periods. A smaller sub-surface aggregation comprised of medium tuna mixed with "extranatants" (fishes which remain within 10 to 50 m of a FAD) was observed in 75% of night-time periods, whereas unidentified scattered fishes were detected from 70 to 400 m depth. The low daytime vulnerability of medium sub-surface tunas to applied line techniques leads us to assume that their feeding motivation was low during daytime. These tunas could pref- erentially feed on mesopelagic organisms during night-time and transition periods around Martinican moored FADs. Local fishermen mainly targeted the large scattered predators using very small tunas as living bait. The sub-surface tuna aggregation hence appeared to be currently unexploited by local fisheries, though it represented the large majority of the pelagic biomass around the moored FADs.

[1]  J. A. Hartigan,et al.  A k-means clustering algorithm , 1979 .

[2]  Kenneth G. Foote,et al.  Optimizing copper spheres for precision calibration of hydroacoustic equipment , 1982 .

[3]  David Itano,et al.  Behavior of yellowfin (Thunnus albacares) and bigeye (T. obesus) tuna in a network of fish aggregating devices (FADs) , 2007 .

[4]  Mathieu Doray,et al.  Acoustic characterisation of pelagic fish aggregations around moored fish aggregating devices in Martinique (Lesser Antilles) , 2006 .

[5]  L. Dagorn,et al.  An acoustic approach to study tuna aggregated around fish aggregating devices in French Polynesia: methods and validation , 1999 .

[6]  Pierre Petitgas,et al.  Sampling variance of species identification in fisheries-acoustic surveys based on automated procedures associating acoustic images and trawl hauls , 2003 .

[7]  T. Buckley,et al.  Feeding Habits of Yellowfin Tuna Associated with Fish Aggregation Devices in American Samoa , 1994 .

[8]  A conditional simulation of acoustic survey data: advantages and potential pitfalls , 2003 .

[9]  E. Cillaurren Daily fluctuations in the presence of Thunnus albacares and Katsuwonus pelamis around fish aggregating devices anchored in Vanuatu, Oceania , 1995 .

[10]  John K. Horne,et al.  Characterizing uncertainty in target-strength measurements of a deepwater fish: orange roughy (Hoplostethus atlanticus) , 2003 .

[11]  Erwan Josse,et al.  Typology and behaviour of tuna aggregations around fish aggregating devices from acoustic surveys in French Polynesia , 2000 .

[12]  W. M. Matsumoto,et al.  Anchored fish aggregation devices in Hawaiian waters , 1979 .

[13]  Blackfin tuna (Thunnus atlanticus) fishing around FADs in Martinique (French West Indies) , 2000 .

[14]  Stuart Robson,et al.  The accuracy and precision of underwater measurements of length and maximum body depth of southern bluefin tuna (Thunnus maccoyii) with a stereo-video camera system , 2003 .

[15]  E. John Simmonds,et al.  Fisheries Acoustics: Theory and Practice , 2005 .

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

[17]  K. Holland,et al.  HORIZONTAL AND VERTICAL MOVEMENTS OF YELLOWFIN AND BIGEYE TUNA ASSOCIATED WITH FISH AGGREGATING DEVICES , 1990 .

[18]  Christopher D. Wilson,et al.  Hook Timers to Measure the Capture Time of Individual Fish , 1988 .

[19]  M. Youngbluth,et al.  An evaluation of acoustic and video methods to estimate the abundance and vertical distribution of jellyfish , 2003 .

[20]  Tim Dempster,et al.  Temporal variability of pelagic fish assemblages around fish aggregation devices : biological and physical influences , 2005 .

[21]  A. Bertrand,et al.  Tuna target-strength related to fish length and swimbladder volume , 2000 .

[22]  Daniel W. Fuller,et al.  Behavior of bigeye (Thunnus obesus) and skipjack (Katsuwonus pelamis) tunas within aggregations associated with floating objects in the equatorial eastern Pacific , 2005 .

[23]  B. Morales-Nin,et al.  Fish fauna associated with floating objects sampled by experimental and commercial purse nets , 1999 .

[24]  Robert Kieser,et al.  Classification of Fish Assemblages based on Echo Integration Surveys , 1991 .

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

[26]  T. Dempster Biology of fish associated with moored fish aggregation devices (FADs): implications for the development of a FAD fishery in New South Wales, Australia , 2004 .

[27]  K. Foote Fish target strengths for use in echo integrator surveys , 1987 .

[28]  S. Kakuma Current, catch and weight composition of yellowfin tuna with FADs off Okinawa island, Japan , 2000 .

[29]  Pierre Fréon,et al.  Review of fish associative behaviour: Toward a generalisation of the meeting point hypothesis , 2000, Reviews in Fish Biology and Fisheries.