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CCAMLR Science, Volume 14 (2007):43–66

Journal Volume:
CCAMLR Science, Volume 14
Page Numbers:
43–66
Автор(ы):
Candy, S.G., A.J. Constable, T. Lamb and R. Williams
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A von Bertalanffy growth model for toothfish at Heard Island fitted to length-at-age data and compared to observed growth from mark–recapture studies

Abstract / Description: 

Length-at-age data for Patagonian toothfish (Dissostichus eleginoides) at Heard Island (Division 58.5.2) were fitted using a von Bertalanffy (VB) growth model taking into account response-biased sampling of fish that were aged. Subsampling of random lengthfrequency (LF) data used to obtain the samples of fish for ageing used length-bin sampling involving a fixed sample size per bin. Estimation of the VB parameters used a definition of the likelihood function based on variable probability (VP) sampling due to the prespecified length-dependent selectivity function for trawl fishing and the additional effect of length-bin sampling on sampling probabilities. The VB curve fitted to the length-at-age data, ignoring VP sampling and assuming normal errors with constant coefficient of variation using iteratively weighted least squares (IWLS), predicted substantially lower mean length-at-age for older ages compared to the VB curve fitted using VP maximum likelihood (MLP) with length-bin relative probabilities defined using fishing selectivity alone. This was due to the feature of the selectivity function of a sharp decline from ‘full’ selection at 1 000 mm length down to 1% selection for a length of 1 600 mm. When length-bin sampling frequencies were also included in defining relative probabilities, the VP maximum likelihood (MLPLB) and IWLS-estimated curves were more similar.

Predicted and observed values of annual growth rate (AGR) for lengths measured at release and first recapture in mark–recapture studies were compared where predictions used the VB parameter estimates obtained from the length-at-age data and the Fabens (1965) form of the VB growth model. Formulae for adjusting predictions for bias imparted by the use of the Fabens model were developed and showed that the bias is relatively small for the range of release lengths in the data. Predictions of AGR using the MLPLB-estimated VB parameters were closer to, but still substantially higher than, the mean trend in observed AGR values with release length compared with those obtained using IWLS-estimated parameters. A young-age adjustment (less than 5 years old) to the VB model is also given in order to give more realistic predictions of mean length-at-age for young fish.

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