Abstract
The somatic growth of individuals governs many aspects of a species’ life history and is an important parameter in the assessment of populations. Population growth parameters are typically derived by relating the length of individuals to their age, with ages commonly estimated from growth bands formed in calcified structures such as the vertebrae or dorsal fin spines. However, routinely utilized vertebrae aging methods may not be reliable for many elasmobranchs (sharks, rays and skates), motivating alternative approaches. This study evaluates the performance of seven techniques that estimate von Bertalanffy growth parameters from mark-recapture tagging data. Evaluation of the performance was done by applying each estimation technique to: 1) simulated error-free mark-recapture tagging data and comparing the estimated versus known simulated growth parameters; 2) simulated mark-recapture data considering individual growth variability, measurement error, different length-at-capture distributions, as well as different sample sizes and comparing the estimated versus known simulated growth parameters; and 3) mark-recapture data of 14 North Atlantic elasmobranch stocks and discussing the estimated growth parameters with respect to biological plausibility and conventional length-at-age data. All investigated estimation techniques returned the known simulated growth parameters when the data is without error. When errors are introduced in the simulation, Bayesian implementations of Fabens' (BFa) and Francis’ (BFr) methods were found to be most reliable. For the observed mark-recapture data only BFa gave biologically plausible results for all 14 elasmobranch stocks. Overall, the results suggest that BFa is a reliable alternative to conventional length-at-age methods for estimating growth parameters, especially in data-limited situations which commonly occur with elasmobranchs. The only prior information needed is limited expert knowledge on maximum length in the population or stock in question. A user guide is provided to facilitate application of the method.
| Original language | English |
|---|---|
| Article number | 106488 |
| Journal | Fisheries Research |
| Volume | 256 |
| DOIs | |
| Publication status | Published - Dec 2022 |
| Externally published | Yes |
Bibliographical note
Funding Information:The authors are gratefully acknowledging the open data policy from the Centre for Environment, Fisheries and Aquaculture Science (Cefas) and the International Commission for the Conservation of Atlantic Tunas (ICCAT). Research funding was provided by the Ocean Frontier Institute, through an award from the Canada First Research Excellence Fund. We thank Rainer Froese for useful discussions at the early stages of this study. We would also like to thank Kirsti Ann Burnett for comments and feedback, which helped improve the manuscript.
Funding Information:
The authors are gratefully acknowledging the open data policy from the Centre for Environment, Fisheries and Aquaculture Science ( Cefas ) and the International Commission for the Conservation of Atlantic Tunas ( ICCAT ). Research funding was provided by the Ocean Frontier Institute , through an award from the Canada First Research Excellence Fund . We thank Rainer Froese for useful discussions at the early stages of this study. We would also like to thank Kirsti Ann Burnett for comments and feedback, which helped improve the manuscript.
Publisher Copyright:
© 2022 The Authors
ASJC Scopus Subject Areas
- Aquatic Science