FN Archimer Export Format
PT J
TI Global patterns and inferences of tuna movements and trophodynamics
BT 
AF Logan, J.M.
   Pethybridge, Heidi
   Lorrain, Anne
   Somes, C.
   Allain, Valerie
   Bodin, Nathalie
   Choy, C.A.
   Duffy, L.
   Goñi, N.
   Graham, B.
   Langlais, C.
   Ménard, F.
   Olson, R.
   Young, J.
AS 1:1;2:2;3:3;4:4;5:5;6:6;7:7;8:8;9:9;10:10;11:1;12:11;13:8;14:2;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;
C1 Massachusetts Division of Marine Fisheries, New Bedford, MA, 02744, USA
   CSIRO Oceans & Atmosphere, GPO Box 158, Hobart, Tasmania, Australia
   IRD, Univ Brest, CNRS, Ifremer, LEMAR, F-29280, Plouzané, France
   GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
   Pacific Community (SPC), Nouméa, New Caledonia
   Seychelles Fishing Authority (SFA), Fishing Port, Victoria, Mahé Island, Seychelles
   Scripps Institution of Oceanography, University of California, San Diego, Integrative Oceanography Division, La Jolla, CA, 92037, USA
   Inter-American Tropical Tuna Commission (IATTC), La Jolla, CA, 92037, USA
   AZTI-Tecnalia/Marine Research, Herrera Kaiaportualdea Z/g, 20110, Pasaia, Gipuzkoa, Spain
   National Institute of Water and Atmospheric Research, Ltd. (NIWA), Wellington, 6021, New Zealand
   Aix Marseille Univ, Université de Toulon, CNRS, IRD, MIO, 13288, Marseille, France
C2 MASSACHUSETTS DIV MAR FISH, USA
   CSIRO, AUSTRALIA
   IRD, FRANCE
   IFM GEOMAR, GERMANY
   PACIFIC COMMUNITY (SPC), FRANCE
   SEYCHELLES FISHING AUTHORITY (SFA), SEYCHELLES
   UNIV CALIF SAN DIEGO, USA
   ITTC, USA
   AZT, SPAIN
   NIWA, NEW ZEALAND
   UNIV AIX MARSEILLE, FRANCE
UM LEMAR
IN WOS Cotutelle UMR
   copubli-france
   copubli-europe
   copubli-univ-france
   copubli-int-hors-europe
IF 2.732
TC 18
UR https://archimer.ifremer.fr/doc/00617/72943/71964.pdf
LA English
DT Article
DE ;Albacore tuna;Bigeye tuna;Yellowfin tuna;Carbon isotope analysis;Movement indicators;Global ocean;Fisheries management
AB A global dataset of carbon stable isotope (δ13C) values from yellowfin, bigeye, and albacore tuna muscle tissue (n = 4275) was used to develop a novel tool to infer broad-scale movement and residency patterns of these highly mobile marine predators. This tool was coupled with environmental models and lipid content (C:N ratio) of tuna muscle tissues to examine ocean warming impacts on tuna ecology and bioenergetic condition across Longhurst provinces. Over a 16-year study period (2000–2015), latitudinal gradients in tuna δ13C values were consistent, with values decreasing with increasing latitude. Tuna δ13C values, reflecting modelled global phytoplankton δ13C landscapes (“isoscapes”), were largely related to spatial changes in oxygen concentrations at depth and temporal changes in sea surface temperature. Observed tuna isoscapes (δ13CLScorr), corrected for lipid content and the Suess effect (oceanic changes in CO2 over time), were subtracted from model-predicted baseline isoscapes (Δ13Ctuna-phyto) to infer spatial movement and residency patterns of the different tuna species. Stable isotope niche width was calculated for each Longhurst province using Δ13Ctuna-phyto and baseline-corrected nitrogen isotope (δ15Ntuna-phyto) values to further quantify isotopic variability as evidence of movements across isoscapes. A high degree of movement—defined as the deviation from expected range of Δ13Ctuna-phyto values— was evident in four Longhurst provinces: Guinea current coast, North Atlantic drift, Pacific equatorial divergence, and the North Pacific equatorial counter current. The highest level of population dispersal (variability in Δ13Ctuna-phyto values) was observed in Longhurst provinces within the western and central Pacific Oceans and in the Guinea current coast. While lipid content was low in yellowfin and bigeye, high and variable lipid stores in albacore muscle were consistent with seasonal movements between productive foraging and oligotrophic spawning habitats. Our ability to characterize tuna movement patterns without ambiguity remains challenged by uncertainty in trophic discrimination factors and ecological (e.g. diet variability) processes. However, this study illustrates that model-corrected δ13C values are a valuable, relatively cost-effective tool for identifying potential areas of mixing across management zones, particularly when electronic tagging studies are limited or absent. Stable isotope analyses of tuna tissues can therefore be an additional tool for guiding spatial stock assessments on top predator movement, dispersal patterns, and how they may be altered under a changing climate. 
PY 2020
PD MAY
SO Deep-sea Research Part Ii-topical Studies In Oceanography
SN 0967-0645
PU Elsevier BV
VL 175
UT 000554017400016
DI 10.1016/j.dsr2.2020.104775
ID 72943
ER

EF