FN Archimer Export Format
PT J
TI The influence of the environment on the variability of monthly tuna biomass around a moored, fish-aggregating device
BT 
AF DORAY, Mathieu
   PETITGAS, Pierre
   NELSON, Laetitia
   MAHEVAS, Stephanie
   JOSSE, E
   REYNAL, Lionel
AS 1:1;2:1;3:2;4:1;5:3;6:2;
FF 1:PDG-DOP-DCN-EMH;2:PDG-DOP-DCN-EMH;3:PDG-DOP-DCM-HMT-RHANTILLES;4:PDG-DOP-DCN-EMH;5:;6:PDG-DOP-DCM-HMT-RHANTILLES;
C1 IFREMER, EMH, F-44311 Nantes 03, France.
   IFREMER, Lab Ressources Halieut Antilles, F-97321 Le Robert, Martinique, France.
   IRD, US Acoust Halieut, Ctr IRD Bretagne, F-29280 Plouzane, France.
C2 IFREMER, FRANCE
   IFREMER, FRANCE
   IRD, FRANCE
SI NANTES
   MARTINIQUE
SE PDG-DOP-DCN-EMH
   PDG-DOP-DCM-HMT-RHANTILLES
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-p187
IF 1.92
TC 9
UR https://archimer.ifremer.fr/doc/2008/publication-6162.pdf
LA English
DT Article
DE ;Lesser Antilles;tuna;environment;geostatistics;biomass estimation;fish aggregating device
AB Fish-aggregating devices (FADs) are increasingly used worldwide to enhance tuna catches. Meanwhile, ecosystem-based management of this fishery is constrained by a paucity of information regarding the interaction of FAD-associated tuna aggregations with their local environment. This paper reports the results of a nine-month study around a FAD moored near Martinique Island, aimed at assessing the effects of the local environment on the variability of monthly estimates of proximate tuna biomass. Dual-frequency, active acoustics provided highresolution quantitative data on the pelagic community around the FAD, from fish to micronekton forage. Geostatistics were used to compute biomass estimates of the tuna aggregation comprising most of the FADassociated fish biomass, with a sampling error of 27%. Environmental variability was summarized by a small set of principal components (PCs) derived from profiles of temperature, salinity and dissolved oxygen vs. depth; and maps of chlorophyll a derived from remotely sensed, sea-surface colour. A generalized linear model was used to relate tuna biomass to environmental PCs and revealed a positive correlation between tuna abundance and: i) a micronekton layer sensed at 38 kHz and potentially consisting of preferred prey at about 180 m depth; and ii) low subsurface salinity (60–80 m). These favourable environmental conditions may be related to thepresence of North Brazilian Current eddies that migrating tuna follow when not temporally associated with the FADs.
PY 2009
PD JUN
SO ICES Journal of Marine Science
SN 1054-3139
PU Oxford university press
VL 66
IS 6
UT 000267221600064
BP 1410
EP 1416
DI 10.1093/icesjms/fsp039
ID 6162
ER

EF