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  4. Growth Parameters and Spawning Season Estimation of Four Important Flyingfishes in the Kuroshio Current Off Taiwan and Implications From Comparisons With Global Studies
 
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Growth Parameters and Spawning Season Estimation of Four Important Flyingfishes in the Kuroshio Current Off Taiwan and Implications From Comparisons With Global Studies

Journal
Frontiers in Marine Science
Journal Volume
8
Date Issued
2022
Author(s)
Chang S.-K
Yuan T.-L
Hoyle S.D
Farley J.H
JEN-CHIEH SHIAO  
DOI
10.3389/fmars.2021.747382
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123117125&doi=10.3389%2ffmars.2021.747382&partnerID=40&md5=99cc9ba36b79fd05b32783814e460bca
https://scholars.lib.ntu.edu.tw/handle/123456789/606372
Abstract
Growth shapes the life history of fishes. Establishing appropriate aging procedures and selecting representative growth models are important steps in developing stock assessments. Flyingfishes (Exocoetidae) have ecological, economic, and cultural importance to many coastal countries including Taiwan. There are 29 species of flyingfishes found in the Kuroshio Current off Taiwan and adjacent waters, comprising 56% of the flyingfishes taxa recorded worldwide. Among the six dominant species in Taiwan, four are of special importance. This study reviews aging data of these four species, documents major points of the aging methods to address three aging issues identified in the literature, and applies multi-model inference to estimate sex-combined and sex-specific growth parameters for each species. The candidate growth models examined included von Bertalanffy, Gompertz, Logistic, and Richards models, and the resulting optimal model tended to be the von Bertalanffy model for sex-combined data and Gompertz and von Bertalanffy models for sex-specific cases. The study also estimates hatch dates from size data collected from 2008 to 2017; the results suggest that the four flyingfishes have two spawning seasons per year. Length-weight relationships are also estimated for each species. Finally, the study combines the optimal growth estimates from this study with estimates for all flyingfishes published globally, and statistically classifies the estimates into clusters by hierarchical clustering analysis of logged growth parameters. The results demonstrate that aging materials substantially affect growth parameter estimates. This is the first study to estimate growth parameters of flyingfishes with multiple model consideration. This study provides advice for aging flyingfishes based on the three aging issues and the classification analysis, including a recommendation of using the asterisci for aging flyingfishes to avoid complex otolith processing procedures, which could help researchers from coastal countries to obtain accurate growth parameters for many flyingfishes. Copyright ? 2022 Chang, Yuan, Hoyle, Farley and Shiao.
Subjects
aging issues
Gompertz
growth performance
length-weight relationship
otolith
spawning season
von Bertalanffy
SDGs

[SDGs]SDG8

[SDGs]SDG14

[SDGs]SDG15

Type
journal article

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