Stock identification and age prediction of Red Mullet Mullus barbatus in the western Black Sea (Türkiye) as inferred from otolith shape descriptors

IF 1.8 3区农林科学 Q2 FISHERIES

Marine and Coastal Fisheries Pub Date : 2024-12-25 DOI:10.1002/mcf2.10316

Taner Yildiz, Nurdan Cömert, Abdullah E. Kahraman, F. Saadet Karakulak

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Abstract

Objective

In this study, we applied shape analysis to differentiate two Red Mullet Mullus barbatus stocks in the western Black Sea and assessed the generalized linear model (GLM) for age prediction based on otolith dimensions and weight.

Methods

Sagittal otoliths from 259 fish were collected by commercial bottom trawl vessels in İğneada and Şile, Türkiye, between October 2017 and April 2018. Otolith shape was described using wavelet transformation (contour shape) along with four morphometric characteristics (otolith length, area, width, and perimeter) and six shape indices (circularity, rectangularity, form factor, roundness, ellipticity, and aspect ratio) to reveal differences between the two regions. Shape indices were explored using multivariate statistical methods, including multivariate analysis of variance (MANOVA) and canonical discriminant analysis (CDA). Canonical analysis of principal coordinates (CAP) provided an overview of the differentiation in the otolith outline shape between the two stocks by using the wavelet coefficients. The GLMs predicted age using otolith size parameters, shape indices, and otolith weight.

Result

The MANOVA showed no significant differences between sexes but notable differences between right and left otoliths. The CDA achieved a discrimination rate of 65.7% for age 1 and 64.8% for age 3, indicating distinct local populations. The otolith contours varied between Red Mullet sampled in the two regions, with CAP achieving an overall accuracy of 67.1% for both regions, 68.12% accuracy for İğneada, and 66.20% accuracy for Şile. The GLMs identified otolith length, weight, width, and perimeter and fish sex as key factors, with otolith length being the most significant predictor for age estimation.

Conclusion

The close alignment of observed and estimated ages highlights the potential for using otolith length in age estimation.

Abstract Image

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根据耳石形状描述符推断的黑海西部（t rkiye）红鲻鱼种群鉴定和年龄预测

目的应用形状分析方法对黑海西部两种红鲻鱼种群进行区分，并对基于耳石尺寸和重量的广义线性模型（GLM）进行年龄预测。方法于2017年10月至2018年4月，利用商业底拖网渔船在基耶省İğneada和Şile采集了259条鱼的矢状耳石。利用小波变换（轮廓形状）描述耳石形状，并结合耳石长度、面积、宽度和周长等4个形态特征和圆度、矩形度、形状因子、圆度、椭圆度和纵横比等6个形状指标来揭示两个区域的差异。采用多元统计方法，包括多元方差分析（MANOVA）和典型判别分析（CDA），对形状指数进行了探讨。主坐标的典型分析（CAP）通过使用小波系数提供了两股耳石轮廓形状差异的概述。GLMs使用耳石尺寸参数、形状指数和耳石重量来预测年龄。结果左、右耳石差异显著，而右耳石差异无统计学意义。CDA对1岁和3岁儿童的歧视率分别为65.7%和64.8%，显示出不同的地方人群。在两个地区采样的红鲻鱼耳石轮廓不同，CAP在两个地区的总体准确率为67.1%，İğneada的准确率为68.12%，Şile的准确率为66.20%。GLMs确定耳石长度、重量、宽度、周长和鱼的性别是关键因素，耳石长度是估计年龄最重要的预测因素。结论耳石长度在年龄估计中的应用与实际年龄的吻合较好。

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来源期刊

Marine and Coastal Fisheries FISHERIES-MARINE & FRESHWATER BIOLOGY

CiteScore

3.40

自引率

5.90%

发文量

审稿时长

>12 weeks

期刊介绍： Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science publishes original and innovative research that synthesizes information on biological organization across spatial and temporal scales to promote ecologically sound fisheries science and management. This open-access, online journal published by the American Fisheries Society provides an international venue for studies of marine, coastal, and estuarine fisheries, with emphasis on species'' performance and responses to perturbations in their environment, and promotes the development of ecosystem-based fisheries science and management.