open access

https://hdl.handle.net/2115/97367

Precision of Estimated Growth Parameters of Yellowfin Tuna (Thunnus albacares) From Length-Frequency Data Estimated by Bootstrapping

英語

yellowfin tuna

2024-12-18

John Wiley & Sons

Fisheries Management and Ecology

Over 60% of the world's fish stocks suffer from limited data, which hampers effective fisheries management. Researchers have developed stock assessment methods for data-limited fisheries using length-frequency data, but reliability was questionable and not well researched. We evaluated the precision of the widely used length-based method ELEFAN using 24 months of length-frequency data from 14,190 individual yellowfin tuna and sequential and interval data fractions. Using bootstrapping (1000 times) and data reduction, growth parameters and precision L-infinity K and Phi ' were estimated. The CVs of L-infinity K and Phi ' were 2.55%, 23.04%, and 2.35%, respectively. From the result of data reduction, at least once in 1 or 2 months and 12 times measurements with 500 data per measurement on average is recommended for achieving high precision with CV of Phi ' < 3%.

学術雑誌論文

Accepted Manuscript

This is the peer reviewed version of the following article: Precision of Estimated Growth Parameters of Yellowfin Tuna (Thunnus albacares) From Length-Frequency Data Estimated by Bootstrapping, which has been published in final form at 10.1111/fme.12781. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.

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