FN Archimer Export Format
PT J
TI Whale depredation in the South Georgia Patagonian toothfish (Dissostichus eleginoides) fishery in the South Atlantic: a comparison of estimation methods
BT 
AF EARL, Timothy
   MACLEOD, Eleanor
   SOFFKER, Marta
   GASCO, Nico
   MASSIOT-GRANIER, Felix
   TIXIER, Paul
   DARBY, Christopher
AS 1:1;2:1,2;3:1;4:3;5:3;6:4;7:1;
FF 1:;2:;3:;4:;5:;6:;7:;
C1 Centre for the Environment Fisheries and Aquaculture Sciences, Lowestoft, UK
   Marine Scotland Science, Aberdeen, UK
   Muséum National d’Histoire Naturelle, Laboratoire de biologie des organismes et Ecosystemes Aquatiques (BOREA), Paris, Île-de-France, France
   MARBEC Université de Montpellier-CNRS-IFREMER-IRD, Avenue Jean Monnet CS 30171, 34203 Sète, France
C2 CEFAS, UK
   MARINE SCOTLAND SCI, UK
   MNHN, FRANCE
   IRD, FRANCE
UM MARBEC
IN WOS Cotutelle UMR
   copubli-france
   copubli-europe
IF 3.906
TC 1
UR https://archimer.ifremer.fr/doc/00749/86144/91377.pdf
LA English
DT Article
DE ;depredation;longline;marine mammal;modelling;odontocete;South Atlantic;South Georgia
AB Removal of fish from gear by marine predators, known as depredation, is a fishery dependent mortality that needs to be included in stock assessments for affected stocks to avoid misestimation of the assessed resource. Toothed whales engage regularly in depredation from longlines, and while in some regions they leave clear marks of depredation activity, in the longline fisheries in the Southern Ocean they often leave no trace of removal, making it necessary to estimate depredation through modelling approaches. Several modelling approaches have been developed over the past decade in affected Southern Ocean fisheries, and in this paper, we examine five applications of common CPUE model structures to the same dataset from the longline fishery around South Georgia. We then compare the estimates of depredation with those based on observed bycatch ratios. The different model structures estimated very similar annual depredation removals, with all approaches averaging around 5% of the catch removed throughout the entire fishery. While depredation varies spatially, the different modelling approaches consistently highlighted areas where the impact of depredation was highest.
PY 2021
PD DEC
SO Ices Journal Of Marine Science
SN 1054-3139
PU Oxford Univ Press
VL 78
IS 10
UT 000743855700027
BP 3817
EP 3833
DI 10.1093/icesjms/fsab212
ID 86144
ER

EF