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Advances in the aquatic sciences
RESEARCH ARTICLE (Open Access)

Evaluation of the effects of otolith sampling strategies and ageing error on estimation of the age composition and growth curve for Pacific bluefin tuna Thunnus orientalis

Yi-Jay Chang https://orcid.org/0000-0002-7472-4672 A B D , Jhen Hsu https://orcid.org/0000-0003-1259-8751 A , Jen-Chieh Shiao https://orcid.org/0000-0002-3824-5738 A B and Shui-Kai Chang https://orcid.org/0000-0003-2929-1510 C
+ Author Affiliations
- Author Affiliations

A Institute of Oceanography, National Taiwan University, Number 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan.

B Institute of Fisheries Science, National Taiwan University, Number 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan.

C Institute of Marine Affairs, National Sun Yat-sen University, 70 Lienhai Road, Kaohsiung 80424, Taiwan.

D Corresponding author. Email: yjchang@ntu.edu.tw

Marine and Freshwater Research 70(12) 1838-1849 https://doi.org/10.1071/MF18241
Submitted: 4 July 2018  Accepted: 13 April 2019   Published: 8 July 2019

Journal Compilation © CSIRO 2019 Open Access CC BY-NC-ND

Abstract

The age composition of the catch and the growth curve of a stock are fundamentally important in fish stock assessment, but these estimates are subject to various sources of uncertainty. Using the Pacific bluefin tuna (Thunnus orientalis) fisheries in the waters off Taiwan as an example, we developed a Monte Carlo simulation model to evaluate the effects of four otolith sampling methods (random otolith sampling, ROS; fixed otolith sampling, FOS; proportional otolith sampling, POS; and reweighting otolith sampling, REW), and ageing error (bias and imprecision) on estimations of age composition and growth curves. The results indicated that FOS has the lowest sampling accuracy, POS performs the best and that ROS is a more efficient method with lower estimation error. For an imprecise reader, the centre (median) of multiple age reads is a useful method to obtain accurate and precise estimates. Ageing bias had greater effects on the estimation of age composition and growth parameters than ageing imprecision or the selection of otolith sampling methods. In most cases, 500 otoliths should be an adequate sample size and could be the guideline for the biological sampling program of the T. orientalis Catch Documentation Scheme.

Additional keywords: age–length key, sampling methods.


References

Aanes, S., and Pennington, M. (2003). On estimating the age composition of the commercial catch of Northeast Arctic cod from a sample of clusters. ICES Journal of Marine Science 60, 297–303.
On estimating the age composition of the commercial catch of Northeast Arctic cod from a sample of clusters.Crossref | GoogleScholarGoogle Scholar |

Boehlert, G. W. (1985). Using objective criteria and multiple regression models for age determination in fishes. Fishery Bulletin 83, 103–117.

Campana, S. E. (2001). Accuracy, precision and quality control in age determination, including a review of the use and abuse of age validation methods. Journal of Fish Biology 59, 197–242.
Accuracy, precision and quality control in age determination, including a review of the use and abuse of age validation methods.Crossref | GoogleScholarGoogle Scholar |

Chang, S. K., Liu, H. L., Fukuda, H., and Maunder, M. N. (2017). Data reconstruction can improve abundance index estimation: an example using Taiwanese longline data for Pacific bluefin tuna. PLoS One 12, e0185784.
Data reconstruction can improve abundance index estimation: an example using Taiwanese longline data for Pacific bluefin tuna.Crossref | GoogleScholarGoogle Scholar | 28968434PubMed |

Chen, K. S., Crone, P., and Hsu, C. C. (2006). Reproductive biology of female Pacific bluefin tuna Thunnus orientalis from south-western North Pacific Ocean. Fisheries Science 72, 985–994.
Reproductive biology of female Pacific bluefin tuna Thunnus orientalis from south-western North Pacific Ocean.Crossref | GoogleScholarGoogle Scholar |

Chih, C. P. (2007). A bootstrap approach for determination of sample sizes for sampling fish from commercial reef fisheries. SFD-2007-027, Southeast Fisheries Science Center, Miami, FL, USA.

Chih, C. P. (2009a). The effects of otolith sampling methods on the precision of growth curves. North American Journal of Fisheries Management 29, 1519–1528.
The effects of otolith sampling methods on the precision of growth curves.Crossref | GoogleScholarGoogle Scholar |

Chih, C. P. (2009b). Evaluation of the sampling efficiency of three otolith sampling methods for commercial king mackerel fisheries. Transactions of the American Fisheries Society 138, 990–999.
Evaluation of the sampling efficiency of three otolith sampling methods for commercial king mackerel fisheries.Crossref | GoogleScholarGoogle Scholar |

Coggins, L. G., and Quinn, T. J. (1998). A simulation study of the effects of ageing error and sample size on sustained yield estimates. In ‘Fishery Stock Assessment Models’. (Eds F. Funk, T. J. Quinn, J. Heifetz, J. N. Ianelli, J. E. Powers, J. F. Schweigert, P. J. Sullivan, and C-I. Chang.) Alaska Sea Grant College Program Report number AK-SG-98-01, pp. 955–975. (University of Alaska—Fairbanks: Fairbanks, AK, USA.)

Coggins, L. G., Gwinn, D. C., and Allen, M. S. (2013). Evaluation of age–length key sample sizes required to estimate fish total mortality and growth. Transactions of the American Fisheries Society 142, 832–840.
Evaluation of age–length key sample sizes required to estimate fish total mortality and growth.Crossref | GoogleScholarGoogle Scholar |

Collette, B. B., and Nauen, C. E. (1983). ‘FAO Species Catalogue. Volume 2. Scombrids of the World. An Annotated and Illustrated Catalogue of Tunas, Mackerels, Bonitos and Related Species Known to Date.’ (Food and Agriculture Organization of the United Nations: Rome, Italy.)

Committee of Age Reading Experts (2000). ‘Manual on Generalized Age Determination Procedures for Groundfish.’ (Pacific States Marine Fisheries Commission: Portland, OR, USA.)

Cope, J. M., and Punt, A. E. (2007). Admitting ageing error when fitting growth curves: an example using the von Bertalanffy growth function with random effects. Canadian Journal of Fisheries and Aquatic Sciences 64, 205–218.
Admitting ageing error when fitting growth curves: an example using the von Bertalanffy growth function with random effects.Crossref | GoogleScholarGoogle Scholar |

Dortel, E., Felix, M. G., Etienne, R., Julien, M., Jean, P. H., Eric, M., Jean, M. M., Nicolas, B., and Emmanuel, C. (2013). Accounting for age uncertainty in growth modeling, the case study of yellowfin tuna (Thunnus albacares) of the Indian Ocean. PLoS One 8, e60886.
Accounting for age uncertainty in growth modeling, the case study of yellowfin tuna (Thunnus albacares) of the Indian Ocean.Crossref | GoogleScholarGoogle Scholar | 23637773PubMed |

Evans, G. T., and Hoenig, J. M. (1998). Testing and viewing symmetry in contingency tables, with application to readers of fish ages. Biometrics 54, 620–629.
Testing and viewing symmetry in contingency tables, with application to readers of fish ages.Crossref | GoogleScholarGoogle Scholar |

Francis, R. C. (2011). Data weighting in statistical fisheries stock assessment models. Canadian Journal of Fisheries and Aquatic Sciences 68, 1124–1138.
Data weighting in statistical fisheries stock assessment models.Crossref | GoogleScholarGoogle Scholar |

Francis, R. C. (2016). Growth in age-structured stock assessment models. Fisheries Research 180, 77–86.
Growth in age-structured stock assessment models.Crossref | GoogleScholarGoogle Scholar |

Goodyear, C. P. (1995). Mean size at age: an evaluation of sampling strategies with simulated red grouper data. Transactions of the American Fisheries Society 124, 746–755.
Mean size at age: an evaluation of sampling strategies with simulated red grouper data.Crossref | GoogleScholarGoogle Scholar |

Gunn, J. S., Clear, N. P., Carter, T. I., Rees, A. J., Stanley, C. A., Farley, J. H., and Kalish, J. M. (2008). Age and growth in southern bluefin tuna, Thunnus maccoyii (Castelnau): direct estimation from otoliths, scales and vertebrae. Fisheries Research 92, 207–220.
Age and growth in southern bluefin tuna, Thunnus maccoyii (Castelnau): direct estimation from otoliths, scales and vertebrae.Crossref | GoogleScholarGoogle Scholar |

Hatch, J., and Jiao, Y. (2016). A comparison between traditional and measurement-error growth models for weakfish Cynoscion regalis. PeerJ 4, e2431.
A comparison between traditional and measurement-error growth models for weakfish Cynoscion regalis.Crossref | GoogleScholarGoogle Scholar | 27688963PubMed |

Hsu, J. (2017). Demography and otolith sampling approach of Pacific Bluefin tuna (Thunnus orientalis) in the water off Taiwan. M.Sc. Thesis, Institute of Fishery Science, National Taiwan University, Taipei, Taiwan.

International Scientific Committee for Tuna and Tuna-like Species in the North Pacific Ocean (2016). Report of the Pacific Bluefin Tuna Working Group Workshop, International Scientific Committee for Tuna and Tuna-like Species in the North Pacific Ocean, 29 February–11 March 2016, La Jolla, CA, USA. Available at http://isc.fra.go.jp/pdf/ISC16/ISC16_Annex_06_Report_of_the_PBFWG(Feb2016).pdf [Verified 15 May 2019].

Ishihara, T., Abe, O., Shimose, T., Takeuchi, Y., and Aires-da-Silva, A. (2017). Use of post-bomb radiocarbon dating to validate estimated ages of Pacific bluefin tuna, Thunnus orientalis, of the North Pacific Ocean. Fisheries Research 189, 35–41.
Use of post-bomb radiocarbon dating to validate estimated ages of Pacific bluefin tuna, Thunnus orientalis, of the North Pacific Ocean.Crossref | GoogleScholarGoogle Scholar |

Kimura, D. K. (1977). Statistical assessment of the age–length key. Journal of the Fisheries Research Board of Canada 34, 317–324.
Statistical assessment of the age–length key.Crossref | GoogleScholarGoogle Scholar |

Kimura, D. K. (1980). Likelihood methods for the von Bertalanffy growth curve. Fishery Bulletin 77, 765–776.

Kimura, D. K. (1990). Approaches to age-structured separable sequential population analysis. Canadian Journal of Fisheries and Aquatic Sciences 47, 2364–2374.
Approaches to age-structured separable sequential population analysis.Crossref | GoogleScholarGoogle Scholar |

Lepak, J. M., Cathcart, C. N., and Hooten, M. B. (2012). Otolith mass as a predictor of age in kokanee salmon (Oncorhynchus nerka) from four Colorado reservoirs. Canadian Journal of Fisheries and Aquatic Sciences 69, 1569–1575.
Otolith mass as a predictor of age in kokanee salmon (Oncorhynchus nerka) from four Colorado reservoirs.Crossref | GoogleScholarGoogle Scholar |

Mackett, D. J. (1963). A method of sampling the Pacific albacore (Thunnus germo) catch for relative age composition. FAO Fisheries Report 3, 1355–1361.

Neilson, J. D. (1992). Sources of error in otolith microstructure examination. Otolith microstructure examination and analysis. Canadian Special Publication of Fisheries and Aquatic Sciences 117, 115–125.

Ogle, D. H. (2015). Age–length keys. In ‘Introductory Fisheries Analyses with R’. pp. 87–103. (CRC Press: Boca Raton, FL, USA.)

Pennington, M., Burmeister, L. M., and Hjellvik, V. (2002). Assessing the precision of frequency distributions estimated from trawl survey samples. Fishery Bulletin 100, 74–81.

Punt, A. E., Smith, D. C., KrusicGolub, K., and Robertson, S. (2008). Quantifying age-reading error for use in fisheries stock assessments, with application to species in Australia’s southern and eastern scalefish and shark fishery. Canadian Journal of Fisheries and Aquatic Sciences 65, 1991–2005.
Quantifying age-reading error for use in fisheries stock assessments, with application to species in Australia’s southern and eastern scalefish and shark fishery.Crossref | GoogleScholarGoogle Scholar |

Reeves, S. A. (2003). A simulation study of the implications of age-reading errors for stock assessment and management advice. ICES Journal of Marine Science 60, 314–328.
A simulation study of the implications of age-reading errors for stock assessment and management advice.Crossref | GoogleScholarGoogle Scholar |

Richards, L. J., Schnute, J. T., Kronlund, A. R., and Beamish, R. J. (1992). Statistical models for the analysis of ageing errors. Canadian Journal of Fisheries and Aquatic Sciences 49, 1801–1815.
Statistical models for the analysis of ageing errors.Crossref | GoogleScholarGoogle Scholar |

Ricker, W. E. (1975). Computation and interpretation of biological statistics of fish populations. Bulletin 191, Fisheries Research Board of Canada, Ottawa, ON, Canada.

Sen, A. R. (1986). Methodological problems in sampling commercial rockfish landings. Fishery Bulletin 84, 409–421.

Shiao, J. C., Lu, H. B., Hsu, J., Wang, H. Y., Chang, S. K., Huang, M. Y., and Ishihara, T. (2017). Changes in size, age, and sex ratio composition of Pacific bluefin tuna (Thunnus orientalis) on the northwestern Pacific Ocean spawning grounds. ICES Journal of Marine Science 74, 204–214.
Changes in size, age, and sex ratio composition of Pacific bluefin tuna (Thunnus orientalis) on the northwestern Pacific Ocean spawning grounds.Crossref | GoogleScholarGoogle Scholar |

Shimose, T., and Ishihara, T. (2015). A manual for age determination of Pacific bluefin tuna Thunnus orientalis. Bulletin of Fisheries Research Agency 40, 1–11.

Shimose, T., Tanabe, T., Chen, K. S., and Hsu, C. C. (2009). Age determination and growth of Pacific bluefin tuna, Thunnus orientalis, off Japan and Taiwan. Fisheries Research 100, 134–139.
Age determination and growth of Pacific bluefin tuna, Thunnus orientalis, off Japan and Taiwan.Crossref | GoogleScholarGoogle Scholar |

Summerfelt, R. C., and Hall, G. E. (Eds) (1987). ‘Age and Growth of Fish.’ (Iowa State University Press: Ames, IA, USA.)

von Bertalanffy, L. (1938). A quantitative theory of organic growth (inquiries on growth laws. II). Human Biology 10, 181–213.

Wakefield, C. B., O’Malley, J. M., Williams, A. J., Taylor, B. M., Nichols, R. S., Halafihi, T., Humphreys, R. L., Kaltavara, J., Nicol, S. J., and Newman, S. J. (2017). Ageing bias and precision for deep-water snappers: evaluating nascent otolith preparation methods using novel multivariate comparisons among readers and growth parameter estimates. ICES Journal of Marine Science 74, 193–203.
Ageing bias and precision for deep-water snappers: evaluating nascent otolith preparation methods using novel multivariate comparisons among readers and growth parameter estimates.Crossref | GoogleScholarGoogle Scholar |

Worthington, D. G., Fowler, A. J., and Doherty, P. J. (1995). Determining the most efficient method of age determination for estimating the age structure of a fish population. Canadian Journal of Fisheries and Aquatic Sciences 52, 2320–2326.
Determining the most efficient method of age determination for estimating the age structure of a fish population.Crossref | GoogleScholarGoogle Scholar |