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

doi:10.3389/fmars.2021.731837

	Stock Assessment of 19 Perciformes in the Beibu Gulf, China, Using a Length-Based Bayesian Biomass Method
	Hou, Gang 1; Zhang, Hui2,3,4 ; Wang, Jinrun 1; Chen, Yanying 1; Lin, Jianbin 1
	2021-08-27
发表期刊	FRONTIERS IN MARINE SCIENCE
卷号	8 页码:10
通讯作者	Zhang, Hui([email protected])
摘要	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 (L-mean/L-opt) and between the mean length at first capture and the mean length, which maximizes catch and biomass (L-c/L-c_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 L-95th/L-inf 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.
关键词	Beibu Gulf LBB method overfishing stock assessment fishery resources
DOI	10.3389/fmars.2021.731837
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[42090044]; National Natural Science Foundation of China[31702347]; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB42000000]; Youth Innovation Promotion Association CAS[2020211]; start-up project of Guangdong Ocean University[R19006]
WOS研究方向	Environmental Sciences & Ecology ; Marine & Freshwater Biology
WOS类目	Environmental Sciences ; Marine & Freshwater Biology
WOS记录号	WOS:000697830100001
出版者	FRONTIERS MEDIA SA
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/176461
专题	海洋生态与环境科学重点实验室
通讯作者	Zhang, Hui
作者单位	1.Guangdong Ocean Univ, Coll Fisheries, Zhanjiang, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, Qingdao, Peoples R China 3.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao, Peoples R China 4.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Ecol & Environm Sci, Qingdao, Peoples R China
通讯作者单位	中国科学院海洋研究所
推荐引用方式 GB/T 7714	Hou, Gang,Zhang, Hui,Wang, Jinrun,et al. Stock Assessment of 19 Perciformes in the Beibu Gulf, China, Using a Length-Based Bayesian Biomass Method[J]. FRONTIERS IN MARINE SCIENCE,2021,8:10.
APA	Hou, Gang,Zhang, Hui,Wang, Jinrun,Chen, Yanying,&Lin, Jianbin.(2021).Stock Assessment of 19 Perciformes in the Beibu Gulf, China, Using a Length-Based Bayesian Biomass Method.FRONTIERS IN MARINE SCIENCE,8,10.
MLA	Hou, Gang,et al."Stock Assessment of 19 Perciformes in the Beibu Gulf, China, Using a Length-Based Bayesian Biomass Method".FRONTIERS IN MARINE SCIENCE 8(2021):10.

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