Length-Based Stock Assessment for the Data-Poor Bombay Duck Fishery from the Northern Bay of Bengal Coast, Bangladesh

Alam, Mohammed Shafiul; Liu, Qun; Schneider, Petra; Mozumder, Mohammad Mojibul Hoque; Chowdhury, M. A.; Uddin, Mir Muhammad Nasir; Monwar, Md. Mostafa; Hoque, Md Enamul; Barua, Suman

doi:10.3390/jmse10020213

Cited by 12 publications

(35 citation statements)

References 42 publications

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“…This visualization of R n scores across discrete combinations of both variables may also aid in narrowing possible variable ranges in subsequent, more refined searches (Mildenberger et al, 2017). While our R n score (0.515) is higher than that reported in other recent studies (Alam et al, 2022;Kindong et al, 2022), the parameters estimated by "TropFishR" match those of other studies (Table 2). Therefore, the priors that we used in LBB and LBSPR are sound and informative.…”

Section: Discussionsupporting

confidence: 55%

“…We use the LBSPR method to estimate the SPR of skipjack tuna in the SCS. This method has been widely used in stock assessments for data-poor fisheries (Prince et al, 2015;Prince et al, 2020;Han et al, 2021;Alam et al, 2022); Kindong et al, 2022, and it has proven to be a consistent and accurate model (Chong et al, 2020;Pons et al, 2020). LBSPR assumes that SPR of an exploited fish stock is a function of relative fishing mortality (F/M) and two life-history ratios (M/K and L 50 /L inf ).…”

Section: Lbspr Methodsmentioning

confidence: 99%

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This is what we know: Assessing the stock status of the data-poor skipjack tuna (Katsuwonus pelamis) fishery in the South China Sea

Zhang

Zhang²,

Zhang³

et al. 2023

Front. Mar. Sci.

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Skipjack tuna (Katsuwonus pelamis) is a highly migratory species of significant value in global marine fisheries. The South China Sea (SCS) is the largest marginal sea in the northwestern Pacific Ocean, and many tuna and tuna-like species occur within it. Although a recent Western and Central Pacific Fisheries Commission report identified skipjack tuna in the western and central Pacific to be sustainably fished, the exploitation status of skipjack tuna in the SCS is still unclear, due to limited data. We apply two data-poor methods, length-based Bayesian biomass estimation (LBB) and length-based spawning potential ratio (LBSPR), to assess the status of skipjack tuna stock in the SCS. We use electronic length frequency analysis to estimate von Bertalanffy growth parameters (asymptotic length Linf and growth coefficient K) to serve as priors for LBB and LBSPR estimation. Estimates are calculated for SCS skipjack tuna Linf (68.3 cm), K (0.325 year−1), natural mortality (0.49 year−1) and mean fork length at 50% sexual maturity (36.7 cm). LBB analysis reveals the estimated relative stock size (0.29) indicates that the SCS skipjack tuna stock maybe heavily overfished. LBSPR analysis reveals the estimated spawning potential ratio for this fishery to be 3%, which is significantly below the limit reference point of 20%. Accordingly, for the SCS skipjack tuna stock we identify a need to reduce fishing mortality by controlling fishing effort and increasing catchable size.

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Section: Discussionsupporting

confidence: 55%

Section: Lbspr Methodsmentioning

confidence: 99%

This is what we know: Assessing the stock status of the data-poor skipjack tuna (Katsuwonus pelamis) fishery in the South China Sea

Zhang

Zhang²,

Zhang³

et al. 2023

Front. Mar. Sci.

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“…Fish stocks are generally healthy and resilient to fishing pressure when their spawning stocks are maintained high by ensuring the length at capture is above the length at maturity (Prince & Hordyk, 2019). The LBSPR model was also used to assess the spawning potential ratio of javelin grunter in the Persian Gulf and Oman Sea (Vahabnezhad et al, 2021), the overfished stock status of Atlantic Bonito in the Moroccan-Atlantic coast (Baibbat et al, 2019), and the selectivity pattern for setting length and catch limits to sustain fisheries for Bombay Duck and Hilsa Shad of the Northern Bay of Bengal Coast (Alam et al, 2021(Alam et al, , 2022. The GTG-LBSPR approach was used to assess healthy stocks of Common sole on the Iberian coast (Pennino et al, 2022) and the artisanal fishery of sea silverside in southern Chile (Mora et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

“…Several approaches have been used to assess data‐limited marine fish stocks based on length, catch and CPUE to support rapid evaluation of fish stocks through reference points (RPs) (Alam et al, 2021, 2022; Amorim et al, 2020; Ba, 2020; Dimarchopoulou et al, 2021; Dowling et al, 2015, 2016; Froese et al, 2017; Herron et al, 2018; Hordyk, Ono, Sainsbury, et al, 2015a; Hordyk, Ono, Valencia, et al, 2015b; ICES, 2015; Maria et al, 2022; Miethe et al, 2019; Prince et al, 2020; Ren & Liu, 2020; Rosenberg et al, 2018; Wang et al, 2020; Zhou et al, 2018). All data‐limited approaches are subject to risk due to uncertainty of input parameters (Cope & Punt, 2009; Liao et al, 2022; Meissa et al, 2021; Pons et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Assessment of data‐limited fisheries: A case study of three finfish species in Chilika lagoon, India

Raghavan

Varghese

Sajina

et al. 2022

Fisheries Management Eco

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Inland capture fisheries in many parts of the world, especially in developing nations, receive relatively low governance priority, thereby raising concerns about their sustainability. Consequently, most inland capture fisheries are data‐limited, which renders conventional capture fisheries assessment methods inapplicable for making science‐based monitoring and management decisions. Three recent data‐limited approaches for marine fish stock assessments using length frequency and catch data (Length‐Based Indicators [LBI], Growth‐Type Groups Length‐Based Spawning Potential Ratio [GTG‐LBSPR] and Catch Maximum Sustainable Yield [CMSY]), were explored for applicability to assess stock status of three commercially exploited finfish species, Daysciaena albida, Eleutheronema tetradactylum and Mugil cephalus, in Chilika lagoon, an inland water body along the east coast of India. The LBI and GTG‐LBSPR approaches are based on catch length‐frequency data, while the CMSY is based on catch‐only data. The LBI provided insight into current exploitation status of the three species in relation to sustainable fishing, the GTG‐LBSPR provided reference points (RP) for the unfished portion of spawning biomass and relative yield in relation to selectivity, and the CMSY provided RPs for MSY, biomass and fishing pressure that yield MSY, to assess stock status and fishery management decisions. All three approaches suggested that the three species were overfished in terms of catch length and quantity, which agreed with expert knowledge of the fishery in the lagoon. All three approaches can support management and policy decisions in inland fisheries and fishery management recommendations. Future research should explore and standardise such approaches to overcome data limitations in assessing and managing inland capture fisheries.

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“…It is defined as the proportion of the unfished spawning potential remaining when under fishing pressure (Walters and Martell 2004). Based on this biological reference point, the length‐based spawning potential ratio (LBSPR) can be established, which is a widely used technique in data‐poor stock assessments (Prince et al 2015, 2020; Alam et al 2022; Kindong et al 2022). The LBSPR assumes that the SPR is a function of the relative fishing mortality ( F / M ) and two life history ratios ( M / K and L 50 / L inf ) of a specific stock.…”

Section: Methodsmentioning

confidence: 99%

The initial assessment of an important pelagic fish, Mackerel Scad, in the South China Sea using data‐poor length‐based methods

Xu,

Zhang,

Panhwar

et al. 2023

Mar Coast Fish

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ObjectiveScads Decapterus spp. occur widely throughout tropical, subtropical, and temperate oceans and are both economically and ecologically important species. They are among the main commercial fish species caught by the light falling‐net fishery in the South China Sea, which is dominated by Mackerel Scad Decapterus macarellus and Shortfin Scad D. macrosoma. Stock assessment is an approach used to guide effective management and maintain fishery sustainability.MethodsTwo data‐poor methods, namely length‐based Bayesian biomass estimation and length‐based spawning potential ratio, were applied to assess the status of Mackerel Scad, the most dominant Decapterus species in the South China Sea. Electronic length–frequency analysis was used to estimate von Bertalanffy growth parameters (asymptotic length Linf and growth coefficient K) to serve as priors.ResultThe results show the estimated Linf and K of Mackerel Scad in the South China Sea as 36.0 cm and 0.37/year, respectively. Estimated natural mortality was 0.74/year, and mean fork length at 50% sexual maturity was 24.29 cm. Length‐based Bayesian biomass estimation analysis showed that the estimated relative stock size had decreased from 1.3 in 2012–2014 to 0.7 in 2019–2021, indicating an overfished status. Length‐based spawning potential ratio analysis showed that the estimated spawning potential ratio for this fishery decreased from 13% to 12%, which is significantly below the limit reference point of 20%.ConclusionOur results obtained through length‐based methods indicate the lower SPR of Mackerel Scad stock was due to catching an excess of juveniles. Therefore, we highlight the need to increase the minimum mesh size in the fishing nets and strengthen international cooperation for conserving this shared stock in the South China Sea.

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Length-Based Stock Assessment for the Data-Poor Bombay Duck Fishery from the Northern Bay of Bengal Coast, Bangladesh

Cited by 12 publications

References 42 publications

This is what we know: Assessing the stock status of the data-poor skipjack tuna (Katsuwonus pelamis) fishery in the South China Sea

This is what we know: Assessing the stock status of the data-poor skipjack tuna (Katsuwonus pelamis) fishery in the South China Sea

Assessment of data‐limited fisheries: A case study of three finfish species in Chilika lagoon, India

The initial assessment of an important pelagic fish, Mackerel Scad, in the South China Sea using data‐poor length‐based methods

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