引用本文:
【打印本页】   【下载PDF全文】   View/Add Comment  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 3124次   下载 2723 本文二维码信息
码上扫一扫!
分享到: 微信 更多
基于贝叶斯Schaefer模型的西北太平洋秋刀鱼资源评估和管理
石永闯1, 朱清澄2,3,4, 黄硕琳1,2,5, 花传祥2,3,4
1.上海海洋大学海洋文化与法律学院 上海 201306;2.上海海洋大学海洋科学学院 上海 201306;3.上海海洋大学国家远洋渔业工程技术研究中心 上海 201306;4.上海海洋大学大洋渔业资源可持续开发省部共建教育部重点实验室 上海 201306;5.上海海洋大学海洋政策与法律研究所 上海 201306
摘要:
秋刀鱼(Cololabis saira)是西北太平洋温带海域的主要捕捞对象之一,也是西北太平洋渔业重要的组成部分。本研究根据北太平洋渔业委员会(NPFC)统计的2003~2017年渔获量数据以及中国秋刀鱼组织提交的单位捕捞努力渔获量数据(Catch per unit effort, CPUE),基于贝叶斯Schaefer剩余产量模型,分基准方案和敏感性分析方案对西北太平洋秋刀鱼资源状况进行了评估,并对其管理策略做了风险分析。结果显示,基准方案和敏感性分析方案下模型参数预测值以及生物学参考点估计值比较相近。在基准方案下,估算的最大可持续产量(Maximum sustainable yield, MSY)为75.26×104 t,最大可持续产量的资源量BMSY为240.14×104 t,此时的捕捞死亡率为0.32。在敏感性分析方案下,估算的最大的可持续产量MSY为70.03×104 t,最大可持续产量的资源量BMSY为232.53×104 t,此时的捕捞死亡率为0.31。该海域秋刀鱼资源状况良好,未经受过度捕捞。风险评估分析表明,为使秋刀鱼资源可持续利用,需将捕获率设定在0.3左右。
关键词:  秋刀鱼  贝叶斯Schaefer模型  资源评估与管理  西北太平洋
DOI:
分类号:
基金项目:国家科技支撑计划(2013BAD13B05)资助
Stock Assessment of Pacific Suary (Cololabis Saira) in the Northwest Pacific Using a Bayesian Schaefer Model
SHI Yongchuang1, ZHU Qingcheng2,3,4, HUANG Shuolin1,2,5, HUA Chuanxiang2,3,4
1.College of Marine Culture and Law, Shanghai Ocean University, Shanghai 201306;2.College of Marine Sciences, Shanghai Ocean University, Shanghai 201306;3.National Engineering Research Center for Pelagic Fishery, Shanghai Ocean University, Shanghai 201306;4.Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306;5.Institute of Marine Policy and Law, Shanghai Ocean University, Shanghai 201306
Abstract:
Pacific saury Cololabis saira is one of the most harvested species in the temperate waters of the Northwest Pacific Ocean, and an important part of their fishery industry. In 2014, the yearly catch from mainland China, from more than 40 fishing vessels, reached 620,300 tons. The Pacific saury has also become a dominant fish species of the North Pacific Fisheries Commission (NPFC), and the conservation of saury resources has received increasing attention. It is therefore necessary to assess their stock to ensure that sustainable fishery practices occur, however, there is little previous research in this field. Based on the data of catches from 2003 to 2017, collected by the NPFC and the resource abundance data submitted by China, the stock assessment and risk analysis of alternative management strategies for the Pacific saury were carried out using a Bayesian Schaefer model. During the process, two scenarios, a standard scenario and a sensitivity analysis scenario, were considered. The Schaefer model was chosen not only because of the lack of age structure data for the Pacific saury, but also because the migration mechanisms and stock structures of the Pacific saury are very complex and insufficiently understood. Bayesian analysis is one of the methods which can be used to improve the reliability of stock assessments in data-poor situations, by utilizing information from other species with good-quality data or other known information. The results showed that compared with the results of the two scenarios, those of the posterior distribution of the three parameters are similar. Under the standard scenario, the MSY(maximum sustainable yield) is 752,600 tons. To maintain the MSY, the biomass and fishing mortality should be 2.401 million tons and 320,000 tons, respectively. While, under the sensitivity analysis scenario, the MSY is 700,300 tons. To maintain the MSY, the biomass and fishing mortality should be 2.325 million tons and 310,000 tons, respectively. The status of the Pacific saury stock is currently good and it is not under overfishing. If the harvest rate is set below 0.3, then the stock will be protected and the probability of resource collapse will be very low. The harvest rates from 2003 to 2017 are all close to 0.3, so there is reason to be optimistic for the potential of this resource. We have concluded that in the future, a harvest rate of 0.3 for Pacific saury should be set, as the best and most sustainable management strategy.
Key words:  Cololabis saira  Bayesian Schaefer model  Stock assessment and management  Northwest Pacific Ocean