A new approach for estimating stock status from length frequency data

Froese, Rainer; Winker, Henning; Coro, Gianpaolo; Demirel, Nazlı; Tsikliras, Athanassios C.; Dimarchopoulou, Donna; Scarcella, Giuseppe; Probst, Wolfgang; Dureuil, Manuel; Pauly, Daniel

doi:10.1093/icesjms/fsy139

Cited by 44 publications

(103 citation statements)

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“…The length-based Bayesian biomass estimation method (LBB), combining species length frequencies data and Bayesian Monte Carlo Markov chain (MCMC), could rapidly estimate the status of fish exploitation [8,9]. The LBB method rejects the dependency of catch data and life history information but mitigates the subjectivity caused by prior estimation of the remaining biomass in the final year.…”

Section: Introductionmentioning

confidence: 99%

“…Most indicators, including estimated relative biomass (B/B0), length at first capture (Lc), optimum length in the first capture (Lc_opt), and the ratio of current relative biomass to the biomass capable of producing maximum sustainable yields (B/Bmsy), could be extracted from LBB for fishery management and applied as inputs in other stock assessment models. LBB has a promising application by providing better performance and more reliable results that are closer to the "true" values [8].…”

Section: Introductionmentioning

confidence: 99%

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Sustainable Exploitation of Dominant Fishes in the Largest Estuary in Southeastern China

Wang

et al. 2020

Water

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Globally, marine fisheries have declined under multiple stresses including overfishing, climate change, and habitat degradation. The Min River Estuary, as the largest estuary in southeastern China, has confronted this situation over recent decades. In this study, the dominant species of fish stocks in the Min River Estuary, including Coilia mystus, Cynoglossus abbreviates, Collichthys lucidus, Amblychaeturichthys hexanema, Polydactylus sextarius, Harpodon nehereus, and Secutor ruconius, were evaluated by the length-based Bayesian biomass estimator method (LBB). Outcomes could be grouped into three categories as healthy, showing the lowest exploitation rate (E: 0.31–0.43) and highest relative biomass (B/Bmsy: 1.30–1.90), including S. ruconius, C. mystus, and H. nehereus; overfished, with a medium E (0.50–0.58) and B/Bmsy (0.68–0.79), including A. hexanema and C. abbreviates; and collapsed, with the highest E (0.89–0.92) and lowest B/Bmsy (0.03–0.21), including C. lucidus and P. sextarius. Corresponding imperative countermeasures such as using larger-sized mesh gears and reducing fishing intensity should be deployed according to the current status of each species for sustainable fishery exploitation and fish conservation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sustainable Exploitation of Dominant Fishes in the Largest Estuary in Southeastern China

Wang

et al. 2020

Water

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“…To preserve the sustainability and continuity of the fishery resource in HSU Regency, the awareness of the status and the level of utilization of the fishing activity by the people must be raised. Limits of the utilization of resources is represented by the value of maximum sustainable yield (MSY), which estimates how many resources could be exploited sustainably in order to preserve it for the future [7]. The MSY value can be used to evaluate the fishing effort and serves as a basis to regulate the number of catch per unit effort (CPUE), in which the value is proportional to the stock biomass in the exploited phase [8].…”

Section: Introductionmentioning

confidence: 99%

Production and Maximum Sustainable Yield of fisheries activity in Hulu Sungai Utara Regency

Rais¹,

Wulandari²

2020

E3S Web Conf.

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Production and fishing activities of inland waters in the Hulu Sungai Utara Regency (HSU) have a large contribution to fulfill the food needs for the local people in South Borneo. A total of 65% of the inland waters in the HSU Regency are floodplains. This research aimed to describe the production of capture fisheries products from 2010 to 2016, the catch per unit of effort (CPUE), the estimation of maximum sustainable (MSY), the biodiversity of fish species in the flood plain waters of Hulu Sungai Utara Regency (HSU). Research and field data collection was carried out throughout 2016, by collecting fishing gears and catch data from fishermen at Tampakang Village and Palbatu Village. The highest fish production was found in 2014, which reached a value of 2053 tons/year, and tended to decline in the following year. The highest catch per unit of effort per year was found to be in 2014 (151.65 tons/effort), and significantly dropped in 2016 (36.05 tons/effort). The Maximum Sustainable Yield (MSY) analysis obtained a value of 2103.13 tons/year with an effort value of 16.57 for standard fishing gear. The research identified 31 species of fish and the largest composition was baung (Mystusnemurus) and Nila (Tilapia nilotica).

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“…Likewise, a length-based, integrated, mixed-effects model (LIME; Rudd and Thorson 2018) provides a comprehensive framework to account for variable fishing mortality and recruitment when only length data are available. Also, a length-based Bayesian biomass estimation method (Froese et al 2018) for the analysis of size composition can estimate relative natural mortality, relative fishing mortality, length at first capture, and asymptotic length. It should be noted that these methods are based on different assumptions and mathematical structures, and their reliability and robustness have not been well examined and understood in a data-poor situation.…”

mentioning

confidence: 99%

“…Also, a length‐based Bayesian biomass estimation method (Froese et al. ) for the analysis of size composition can estimate relative natural mortality, relative fishing mortality, length at first capture, and asymptotic length. It should be noted that these methods are based on different assumptions and mathematical structures, and their reliability and robustness have not been well examined and understood in a data‐poor situation.…”

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confidence: 99%

Evaluating the Performances of Size‐Frequency‐Based Methods for Estimating Fishing Mortality of Pholis fangi

et al. 2019

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Age‐structured data are commonly needed in stock assessments but are unavailable for the majority of existing fisheries, while fish size (length or weight) data are most readily accessible and carry critical information of population status. However, the performances of assessment methods based on size‐frequency data have been less well understood. This study evaluated the reliability of two size‐frequency‐based assessment methods in R package, s6model and TropFishR, for estimating the exploitation status of one data‐poor stock, Pholis fangi in Haizhou Bay, China. We used both simulation and empirical approaches to compare the performances of the two assessment methods in estimating F and Fmsy and examined their robustness to the stochasticity and amount of sampling data. In the simulation test, s6model and TropFishR yielded satisfactorily accurate and consistent estimates of F and Fmsy. In the empirical test, the estimated stock exploitation status varied substantially among seasons. TropfishR and s6model estimated the F/Fmsy to be 2.40 and 2.05 in spring, respectively, indicating remarkable overfishing, and 0.43 and 0.41 in fall, respectively, indicating an optimistic exploitation level. The reflected pattern was consistent with the fishery characteristics of this species. The s6model method was substantially influenced by sample size and might lead to unreasonable estimations in small samples, whereas TropFishR was relatively robust on the changes of sample size. This study highlighted the usefulness of size‐frequency methods in guiding fisheries management and provided references for their applications in data‐limited situations.

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A new approach for estimating stock status from length frequency data

Cited by 44 publications

References 0 publications

Sustainable Exploitation of Dominant Fishes in the Largest Estuary in Southeastern China

Sustainable Exploitation of Dominant Fishes in the Largest Estuary in Southeastern China

Production and Maximum Sustainable Yield of fisheries activity in Hulu Sungai Utara Regency

Evaluating the Performances of Size‐Frequency‐Based Methods for Estimating Fishing Mortality of Pholis fangi

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