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Using the LBB method for the assessments of seven fish stocks from the Yangtze estuary and its adjacent waters
Frontiers in Marine Science ( IF 2.8 ) Pub Date : 2021-05-05 , DOI: 10.3389/fmars.2021.679299
Yuanchao Wang , Cui Liang , Weiwei Xian , Yibang Wang

The status of fishery resources in the Yangtze estuary and its adjacent waters is still unclear for the effective implementation of fishery management strategies. To help address this gap, a new method especially for data-limited fish stocks (LBB) was applied to assess seven commercially and ecotrophically important fish stocks. Fish specimens were collected in the estuary by bottom trawling quarterly from May 2018 to February 2019. Two historical data sets were collected with the same method in the same area for Indian perch (Jaydia lineata) and sickle pomfret (Pampus echinogaster). To explore the growth features and resilience of fish stocks, auximetric plots and growth performance indices (Φ’) were used. Results showed that common hairfin anchovy (Setipinna tenuifilis) in 2018 and Indian perch in 2018 showed a healthy stock biomass status with complete length structures under a sustainable fishing pressure. The others were outside of safe biological limits or overfished. The Lmean/Lopt<0.9 in 6 (67%) of 9 LBB models for 7 fish stocks suggested that most of stocks were truncated in length structures. This contribution provides the main fisheries reference points regarding stock status that can inform managers and form the basis for various management strategies.

中文翻译:

使用LBB方法评估长江口及其附近水域的7种鱼类

对于有效实施渔业管理战略,长江口及其附近水域的渔业资源状况仍不清楚。为了解决这一差距,采用了一种特别针对数据受限鱼类种群的新方法来评估七种具有商业和生态意义的重要鱼类种群。从2018年5月至2019年2月每季度进行一次底拖网捕捞,在河口收集鱼标本。在同一地区,使用相同的方法收集了印度鲈(Jaydia lineata)和镰仓m(Pampus echinogaster)的两个历史数据集。为了探索鱼类种群的生长特征和复原力,使用了测积图和生长性能指数(Φ')。结果显示,2018年和2018年的印度鲈鱼(Setipinna tenuifilis)和印度鲈鱼在可持续的捕捞压力下显示出健康的种群生物量状态,具有完整的长度结构。其他的则超出了安全的生物学范围或被过度捕捞。在9种LBB模型中,有6种(67%)的Lmean / Lopt <0.9(67%)用于7种鱼类,表明大多数种群的长度结构被截断。该贡献提供了有关种群状况的主要渔业参考点,可以为管理者提供信息并构成各种管理策略的基础。
更新日期:2021-05-06
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