Use of otolith shape to inform stock structure in Patagonian toothfish (Dissostichus eleginoides) in the south-western Atlantic
Brendon Lee A B G , Paul E. Brewin C D E , Paul Brickle C and Haseeb Randhawa A C F
+ Author Affiliations
- Author Affiliations
A Fisheries Department, Falkland Islands Government, Stanley, PO Box 598, FIQQ 1ZZ, Falkland Islands.
B Department of Ichthyology and Fisheries Science, Rhodes University, PO Box 94, Grahamstown 6140, South Africa.
C South Atlantic Environmental Research Institute, PO Box 609, Stanley Cottage, Stanley, FIQQ 1ZZ, Falkland Islands.
D Shallow Marine Surveys Group, 2 Philomel Place, Stanley, FIQQ 1ZZ, Falkland Islands.
E Biological Sciences (Zoology), University of Aberdeen, Tillydrone Avenue, Aberdeen, AB24 2TZ, UK.
F New Brunswick Museum, 277 Douglas Avenue, Saint John, NB, E2K 1E5, Canada.
G Corresponding author: blee@fisheries.gov.fk, brendon82.lee@gmail.com
Marine and Freshwater Research 69(8) 1238-1247 https://doi.org/10.1071/MF17327
Submitted: 2 November 2017 Accepted: 16 January 2018 Published: 11 April 2018
Abstract
An analysis of patterns in otolith shape is an effective tool for discriminating among fish stocks. Otolith shapes of Patagonian toothfish (Dissostichus eleginoides) and Antarctic toothfish (D. mawsoni) were investigated for geographic variability within seven regions across the Patagonian Shelf, and South Georgia and the South Sandwich Islands (SGSSI). Otolith shape was characterised by its elliptical Fourier coefficients (EFCs), corrected for fish length before being analysed, using multivariate methods. Non-metric multidimensional scaling analysis suggested the following three main groupings: Patagonian Shelf, SGSSI, and the third for Antarctic toothfish. This result was supported by ANOVA-like permutation tests, indicating significant (P < 0.001) differences in otolith shape among these three groupings. Linear discriminant analysis (LDA) cross-validation analyses of the EFCs resulted in otoliths being correctly classified to the sampling region from which they came, with an accuracy ranging from 78.95 to 100%. LDA cross-validation analyses on sampling regions within SGSSI and the Patagonian Shelf were able to classify individuals back to their sampling region with an accuracy of greater than 89.74 and 78.95% respectively. These results have provided some alternative insights into the stock structure of Patagonian toothfish across southern South America, South Atlantic and SGSSI.
Additional keywords: elliptical Fourier analysis, Patagonian Shelf, South Georgia, South Sandwich Islands.
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