Stock structure analysis of the declining shovel-nosed lobster Thenus unimaculatus (Burton and Davie, 2007) for effective management and conservation along the Indian coast

Author:

Chakraborty Rekha Devi,P. T. Sarada ,Dash Gyanaranjan,Kumar Rajan,Divipala Indira,M. Rajkumar ,G. Kuberan ,S. Sreelakshmy ,G. Maheswarudu

Abstract

The  shovel-nosed lobster Thenus unimaculatus (Burton and Davie 2007) is one of India’s most important commercially exploited lobster species. The declining trends and collapse of the sand lobster fishery have been reported from the north-west coast of India. Several hypotheses have been proposed to explain this decline, but a lack of basic information on population demographics inhibits hypothesis testing. This study attempted morphometric stock structure analysis of T. unimaculatus along the Indian coast, using 673 specimens collected from five locations during 2017-2019. Data was subjected to allometric transformation to remove size effect and further subjected to multivariate analysis, including principal component analysis (PCA) followed by linear discriminant analysis (LDA) using R software. The first eight principal components (PCs) cumulatively explained 73.97% of the total variance. The misclassification rate (MR) of the LDA model performed to optimise separation among different sampling locations and coasts were 0.30 and 0.26 respectively, indicating clear overlap of the stocks. The results of this study revealed the presence of a single spawning stock of shovel-nosed lobster along the Indian coast, providing insights for adopting holistic management strategies to conserve this declining resource. Keywords: LDA, Population structure, Putative stocks, Slipper lobster, Truss

Publisher

Central Marine Fisheries Research Institute, Kochi

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3