Reliable growth estimation from mark–recapture tagging data in elasmobranchs

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 form...

Full description

Bibliographic Details
Main Authors: Dureuil, Manuel, Aeberhard, William H., Dowd, Michael, Pardo, Sebastián A., Whoriskey, Frederick G., Worm, Boris
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2022
Subjects:
Online Access:https://hdl.handle.net/20.500.11850/572988
https://doi.org/10.3929/ethz-b-000572988
id ftethz:oai:www.research-collection.ethz.ch:20.500.11850/572988
record_format openpolar
spelling ftethz:oai:www.research-collection.ethz.ch:20.500.11850/572988 2023-05-15T17:35:57+02:00 Reliable growth estimation from mark–recapture tagging data in elasmobranchs Dureuil, Manuel Aeberhard, William H. Dowd, Michael Pardo, Sebastián A. Whoriskey, Frederick G. Worm, Boris 2022-12 application/application/pdf https://hdl.handle.net/20.500.11850/572988 https://doi.org/10.3929/ethz-b-000572988 en eng Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fishres.2022.106488 info:eu-repo/semantics/altIdentifier/wos/000870882200012 http://hdl.handle.net/20.500.11850/572988 doi:10.3929/ethz-b-000572988 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International CC-BY-NC-ND Fisheries Research, 256 Aging Growth Mark-recapture tagging Population dynamics von Bertalanffy info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2022 ftethz https://doi.org/20.500.11850/572988 https://doi.org/10.3929/ethz-b-000572988 https://doi.org/10.1016/j.fishres.2022.106488 2023-02-13T01:12:32Z 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 ... Article in Journal/Newspaper North Atlantic ETH Zürich Research Collection
institution Open Polar
collection ETH Zürich Research Collection
op_collection_id ftethz
language English
topic Aging
Growth
Mark-recapture tagging
Population dynamics
von Bertalanffy
spellingShingle Aging
Growth
Mark-recapture tagging
Population dynamics
von Bertalanffy
Dureuil, Manuel
Aeberhard, William H.
Dowd, Michael
Pardo, Sebastián A.
Whoriskey, Frederick G.
Worm, Boris
Reliable growth estimation from mark–recapture tagging data in elasmobranchs
topic_facet Aging
Growth
Mark-recapture tagging
Population dynamics
von Bertalanffy
description 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 ...
format Article in Journal/Newspaper
author Dureuil, Manuel
Aeberhard, William H.
Dowd, Michael
Pardo, Sebastián A.
Whoriskey, Frederick G.
Worm, Boris
author_facet Dureuil, Manuel
Aeberhard, William H.
Dowd, Michael
Pardo, Sebastián A.
Whoriskey, Frederick G.
Worm, Boris
author_sort Dureuil, Manuel
title Reliable growth estimation from mark–recapture tagging data in elasmobranchs
title_short Reliable growth estimation from mark–recapture tagging data in elasmobranchs
title_full Reliable growth estimation from mark–recapture tagging data in elasmobranchs
title_fullStr Reliable growth estimation from mark–recapture tagging data in elasmobranchs
title_full_unstemmed Reliable growth estimation from mark–recapture tagging data in elasmobranchs
title_sort reliable growth estimation from mark–recapture tagging data in elasmobranchs
publisher Elsevier
publishDate 2022
url https://hdl.handle.net/20.500.11850/572988
https://doi.org/10.3929/ethz-b-000572988
genre North Atlantic
genre_facet North Atlantic
op_source Fisheries Research, 256
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fishres.2022.106488
info:eu-repo/semantics/altIdentifier/wos/000870882200012
http://hdl.handle.net/20.500.11850/572988
doi:10.3929/ethz-b-000572988
op_rights info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
op_rightsnorm CC-BY-NC-ND
op_doi https://doi.org/20.500.11850/572988
https://doi.org/10.3929/ethz-b-000572988
https://doi.org/10.1016/j.fishres.2022.106488
_version_ 1766135259119747072