Stock Assessment Using the LBB Method for <i>Portunus trituberculatus</i> Collected from the Yangtze Estuary in China
<i>Portunus trituberculatus</i> is an important invertebrate species distributed in the Yangtze Estuary. However, its biomass and enrichment have been affected seriously by ongoing human activity in recent decades. The length-based Bayesian biomass estimator (LBB) is a novel and potent m...
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MDPI AG
2020-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/1/342 |
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| author | Longtao Yue Yibang Wang Hui Zhang Weiwei Xian |
| author_facet | Longtao Yue Yibang Wang Hui Zhang Weiwei Xian |
| author_sort | Longtao Yue |
| collection | DOAJ |
| description | <i>Portunus trituberculatus</i> is an important invertebrate species distributed in the Yangtze Estuary. However, its biomass and enrichment have been affected seriously by ongoing human activity in recent decades. The length-based Bayesian biomass estimator (LBB) is a novel and potent method to estimate the stocks for most commercial fishes and invertebrates in offshore using only length and frequency data. In this study, the results showed that the ratio of current exploited biomass relative to unexploited biomass (<i>B</i>/<i>B</i><sub>0</sub>) was smaller than relative biomass capable of producing maximum sustainable yields (<i>B<sub>MSY</sub></i>/<i>B</i><sub>0</sub>) after handling of the catches of the <i>P. trituberculatus</i> collected from the Yangtze Estuary in 2018 using the LBB method. Therefore, this evidence indicated that the biomass of the swimming crab was relatively low as a result of the overfishing in this water area and the catches of the crabs should be controlled at a reasonable level in the future. Meanwhile, LBB is a promising method providing a theoretical basis for the management and protection of fishery resources. |
| first_indexed | 2024-03-10T13:35:38Z |
| format | Article |
| id | doaj.art-3cab3d63bc9f4f40ba6f437d37424f96 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T13:35:38Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-3cab3d63bc9f4f40ba6f437d37424f962023-11-21T07:32:04ZengMDPI AGApplied Sciences2076-34172020-12-0111134210.3390/app11010342Stock Assessment Using the LBB Method for <i>Portunus trituberculatus</i> Collected from the Yangtze Estuary in ChinaLongtao Yue0Yibang Wang1Hui Zhang2Weiwei Xian3CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, ChinaCAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, ChinaCAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, ChinaCAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China<i>Portunus trituberculatus</i> is an important invertebrate species distributed in the Yangtze Estuary. However, its biomass and enrichment have been affected seriously by ongoing human activity in recent decades. The length-based Bayesian biomass estimator (LBB) is a novel and potent method to estimate the stocks for most commercial fishes and invertebrates in offshore using only length and frequency data. In this study, the results showed that the ratio of current exploited biomass relative to unexploited biomass (<i>B</i>/<i>B</i><sub>0</sub>) was smaller than relative biomass capable of producing maximum sustainable yields (<i>B<sub>MSY</sub></i>/<i>B</i><sub>0</sub>) after handling of the catches of the <i>P. trituberculatus</i> collected from the Yangtze Estuary in 2018 using the LBB method. Therefore, this evidence indicated that the biomass of the swimming crab was relatively low as a result of the overfishing in this water area and the catches of the crabs should be controlled at a reasonable level in the future. Meanwhile, LBB is a promising method providing a theoretical basis for the management and protection of fishery resources.https://www.mdpi.com/2076-3417/11/1/342LBB methodstock assessmentYangtze Estuary<i>Portunus trituberculatus</i>fishery resources |
| spellingShingle | Longtao Yue Yibang Wang Hui Zhang Weiwei Xian Stock Assessment Using the LBB Method for <i>Portunus trituberculatus</i> Collected from the Yangtze Estuary in China Applied Sciences LBB method stock assessment Yangtze Estuary <i>Portunus trituberculatus</i> fishery resources |
| title | Stock Assessment Using the LBB Method for <i>Portunus trituberculatus</i> Collected from the Yangtze Estuary in China |
| title_full | Stock Assessment Using the LBB Method for <i>Portunus trituberculatus</i> Collected from the Yangtze Estuary in China |
| title_fullStr | Stock Assessment Using the LBB Method for <i>Portunus trituberculatus</i> Collected from the Yangtze Estuary in China |
| title_full_unstemmed | Stock Assessment Using the LBB Method for <i>Portunus trituberculatus</i> Collected from the Yangtze Estuary in China |
| title_short | Stock Assessment Using the LBB Method for <i>Portunus trituberculatus</i> Collected from the Yangtze Estuary in China |
| title_sort | stock assessment using the lbb method for i portunus trituberculatus i collected from the yangtze estuary in china |
| topic | LBB method stock assessment Yangtze Estuary <i>Portunus trituberculatus</i> fishery resources |
| url | https://www.mdpi.com/2076-3417/11/1/342 |
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