Assessments of 14 Exploited Fish and Invertebrate Stocks in Chinese Waters Using the LBB Method

Liang, Cui; Xian, Weiwei; Liu, Shude; Pauly, Daniel

doi:10.3389/fmars.2020.00314

Cited by 21 publications

(26 citation statements)

References 14 publications

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“…This approach assumes constant recruitment, growth and mortality, and can provide the best available information if the LF data is representative of the exploited stock, including data-limited fisheries. The LBB method has recently been applied in the East Asian waters to assess some data-limited stocks (Liang et al, 2020;Wang et al, 2020;Zhang et al, 2020). Thus, even in most non-targeted species which are mostly data-limited, the LBB approach may be applied by fishery managers for precautionary management of these species.…”

Section: Introductionmentioning

confidence: 99%

Stock Status Assessments of Five Small Pelagic Species in the Atlantic and Pacific Oceans Using the Length-Based Bayesian Estimation (LBB) Method

et al. 2020

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A rising trend in catches of non-targeted species has recently been observed in major fisheries including tuna longline fisheries, yet most of these species are unmanaged. Given their importance to local economies and sustainable livelihoods in many coastal countries, there is a need to provide plans for their management. However, most nontargeted species are data-limited which hampers the use of conventional assessment methods. This study applied a novel data-limited length-based Bayesian biomass estimator (LBB) method to assess the stocks of five species from the Atlantic and Pacific Oceans. Estimates of growth, length at first capture and present relative biomass (B/B 0 , B/B MSY) of these species were gotten from length-frequency (LF) data. Of the ten populations (5 species from two regions) assessed, one has collapsed, one grossly overfished, and three overfished. Six populations had the ratio of mean lengths at first capture (Lc) on the mean length at first capture, which maximizes the catch and biomass (Lc_opt) greater than unity, indicating the presence of large-sized specimens in the populations. Two species faced intense fishing pressure in the Atlantic while one population collapsed in the Pacific Ocean. Our results indicate that even nontargeted pelagic can be prone to over-exploitation. Therefore, there is an urgent need for stakeholders and fisheries managers to focus on improving fishery statistics and to conduct periodic monitoring of stock status indicators for non-target species.

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Section: Introductionmentioning

confidence: 99%

Stock Status Assessments of Five Small Pelagic Species in the Atlantic and Pacific Oceans Using the Length-Based Bayesian Estimation (LBB) Method

et al. 2020

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“…Fish stocks were classified to three exploitation statuses based on the estimates of B/B MSY , overexploited status was assigned where B/B MSY < 0.8, fully exploited status where 0.8 ≤ B/B MSY ≤ 1.2, and underdeveloped status where B/B MSY > 1.2 (Amorim et al, 2019). Besides, the stocks are considered as suffering from growth overfishing when the estimated L c /L c_opt < 1 (Liang et al, 2020;Zhang et al, 2021b).…”

Section: Lbb Methodsmentioning

confidence: 99%

“…At present, two types of methods are commonly used in data-poor fisheries, the catch-based methods and the lengthbased methods (Liang et al, 2020). The catch-based methods estimate sustainable yield or maximum sustainable yield (MSY) of the target population using catch time series and auxiliary data, e.g., intrinsic rate of increase, natural mortality, and age at maturity.…”

Section: Introductionmentioning

confidence: 99%

“…ELEFAN is widely used in fish stock assessment in Chinese waters, and many of the main commercial species have been assessed by this method, e.g., largehead hairtail Trichiurus japonicus (Zhou et al, 2002), small yellow croaker Larimichthys polyactis (Liu et al, 2012). LBB is a newly developed method and has been recently introduced to stock assessment in Chinese waters (Liang et al, 2020;Zhang et al, 2021b). The assumptions and computational procedures of the two methods are quite different (Pauly and David, 1981;Froese et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Length-Based Assessment of Fish Stocks in a Data-Poor, Jointly Exploited (China and Vietnam) Fishing Ground, Northern South China Sea

Zhang

Hou

et al. 2021

Front. Mar. Sci.

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The Beibu Gulf is one of the most important fishing grounds in the South China Sea (SCS), and the fisheries resources in this area are exploited by both China and Vietnam. In recent decades, some indications of overfishing have appeared, including declining catch rates, frequently changing catch composition, and shrinking body sizes in main commercial fish species. Due to limited data availability, only a small subset of exploited fish stocks in this area has been assessed. Here, we applied two length-based methods, electronic length frequency analysis (ELEFAN) and length-based Bayesian biomass estimation (LBB), to stock assessment of nine exploited fish species in the Beibu Gulf. There were total 53, 652 length records of 30 target stocks used in this study during the survey period from 1960 to 2015. The results showed that the two length-based methods presented different ability in estimating exploitation rate (E), and the estimated E ranged from 0.34 to 0.87 using ELEFAN method while ranged from 0.26 to 0.86 using LBB method. The prior information from ELEFAN method was effective for LBB method, as there were significant differences in 66.7% of the 30 target stocks in estimated Linf, and 93.3% in estimated B/BMSY, using LBB method with and without prior information. The estimated Lc/Lc_opt and B/BMSY of LBB method suggest a pressing situation for the fisheries in the Beibu Gulf, as 86.7% of the 30 target stocks had been suffering from growth overfishing (Lc/Lc_opt < 1), and 83.3% had been overexploited or fully exploited (B/BMSY ≤ 1.2). In addition, we suggest using both ELEFAN and LBB methods to fit length-frequency data of data-poor fish stocks because they are complementary in estimating management reference points. We also emphasize collaboration mechanism should be established by China and Vietnam for the sustainability and recovery of fishery resources in the Beibu Gulf.

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“…In China, only a small number of commercially developed fish resources have been specifically assessed, owing to limited data and expertise (Liang et al, 2020). Recently, two methods have been applied to the assessment of fishery resources in China.…”

Section: Introductionmentioning

confidence: 99%

Stock Assessment of 19 Perciformes in the Beibu Gulf, China, Using a Length-Based Bayesian Biomass Method

et al. 2021

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The Beibu Gulf in China is rich in fish resources. However, only a small number of commercially developed fish stocks have been specifically assessed owing to limited data and expertise. In this study, 19 perciform fish populations in the Beibu Gulf were assessed using a length-based Bayesian biomass (LBB) estimator method, which is a new approach to evaluate a fishery’s status using length frequency (LF) data. The results showed that only 21% of the evaluated stocks were healthy and 79% were overfished. In particular, 26 and 21% of the assessed species had collapsed and were grossly overfished, respectively. Only 11 and 21% of the assessed species were slightly overfished and overfished, respectively. The ratios between the mean and optimum length (Lmean/Lopt) and between the mean length at first capture and the mean length, which maximizes catch and biomass (Lc/Lc_opt), were below one in 14 out of the 19 stocks, suggesting a truncated length structure and fishing of undersized individuals. The ratio of the 95th percentile length to asymptotic length L95th/Linf was close to one (>0.9) in 10 of 19 stocks, suggesting that at least some large fish were still present. Our research confirmed that the fishery resources in the Beibu Gulf were seriously overfished and provided evidence that LBB was an efficient method to evaluate the fishery resources. Fishery managers need to take specific measures to restore fishery resources.

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Assessments of 14 Exploited Fish and Invertebrate Stocks in Chinese Waters Using the LBB Method

Cited by 21 publications

References 14 publications

Stock Status Assessments of Five Small Pelagic Species in the Atlantic and Pacific Oceans Using the Length-Based Bayesian Estimation (LBB) Method

Stock Status Assessments of Five Small Pelagic Species in the Atlantic and Pacific Oceans Using the Length-Based Bayesian Estimation (LBB) Method

Length-Based Assessment of Fish Stocks in a Data-Poor, Jointly Exploited (China and Vietnam) Fishing Ground, Northern South China Sea

Stock Assessment of 19 Perciformes in the Beibu Gulf, China, Using a Length-Based Bayesian Biomass Method

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