Stock Assessment of Exploited Populations of Shovel-Nosed Lobster Thenus unimaculatus (Scyllaridae, Burton and Davie, 2007) Along the Indian Coast Using Length-Based Approaches

Chakraborty, Rekha D and Kumar, Rajan and Dash, Gyanaranjan and Maheswarudu, G (2024) Stock Assessment of Exploited Populations of Shovel-Nosed Lobster Thenus unimaculatus (Scyllaridae, Burton and Davie, 2007) Along the Indian Coast Using Length-Based Approaches. Thalassas: An International Journal of Marine Sciences. pp. 1-9. ISSN 2366-1674

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Official URL: https://link.springer.com/article/10.1007/s41208-0...

Abstract

This manuscript presents a detailed investigation into the stock status of Thenus unimaculatus, a commercially valuable lobster species in India. In data-poor fisheries, Bayesian approach offers robust guidance for sustainable sand lobster population management. Utilizing a non-conventional Bayesian approach, the study employed length-based Bayesian biomass (LBB) and length-based Spawning Potential Ratio (LB-SPR) methods to analyze length frequency data collected between 2011 and 2019. In our study using LBB, the current exploited biomass (B/B0 = 0.35) was found to be lower than the biomass capable of producing maximum sustainable yield (B/BMSY=0.93). Spawning potential ratio was calculated between 28 and 37% using LB-SPR model. The fishing mortality (F/M = 1.5) was slightly above optimal, resulting in low sand lobster biomass due to moderate over-exploitation. This suggests a need for rational slipper lobster catch control. However, with an Lm50/Lc50 ratio close to 1.0, indicates an absence of targeted juvenile fishery, it suggest the need to reduce fishing pressure. . However, implementing measures is challenging because the species forms a by-catch in trawl fisheries.

Item Type: Article
Uncontrolled Keywords: Capture fisheries; Stock status; Management; Spawning stock; biomass Sustainable
Subjects: Marine Fisheries > Population Dynamics
Crustacean Fisheries > Lobsters
Marine Fisheries > Stock Assessment
Depositing User: Arun Surendran
Date Deposited: 31 May 2024 05:38
Last Modified: 31 May 2024 05:38
URI: http://eprints.cmfri.org.in/id/eprint/18439

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