Whale depredation in the South Georgia Patagonian toothfish (Dissostichus eleginoides) fishery in the South Atlantic: a comparison of estimation methods
| Type | Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Date | 2021-12 | ||||||||
| Language | English | ||||||||
| Author(s) | Earl Timothy1, Macleod Eleanor1, 2, Soffker Marta1, Gasco Nico3, Massiot-Granier Felix3, Tixier Paul4, Darby Christopher1 | ||||||||
| Affiliation(s) | 1 : Centre for the Environment Fisheries and Aquaculture Sciences, Lowestoft, UK 2 : Marine Scotland Science, Aberdeen, UK 3 : Muséum National d’Histoire Naturelle, Laboratoire de biologie des organismes et Ecosystemes Aquatiques (BOREA), Paris, Île-de-France, France 4 : MARBEC Université de Montpellier-CNRS-IFREMER-IRD, Avenue Jean Monnet CS 30171, 34203 Sète, France |
||||||||
| Source | Ices Journal Of Marine Science (1054-3139) (Oxford Univ Press), 2021-12 , Vol. 78 , N. 10 , P. 3817-3833 | ||||||||
| DOI | 10.1093/icesjms/fsab212 | ||||||||
| WOS© Times Cited | 1 | ||||||||
| Keyword(s) | depredation, longline, marine mammal, modelling, odontocete, South Atlantic, South Georgia | ||||||||
| Abstract | 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. | ||||||||
| Full Text |
|