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以有限数据评估方法为基础的海州湾渔业管理策略评估
引用本文:孙铭,张崇良,李韵洲,徐宾铎,薛莹,任一平.以有限数据评估方法为基础的海州湾渔业管理策略评估[J].水产学报,2018,42(10):1661-1669.
作者姓名:孙铭  张崇良  李韵洲  徐宾铎  薛莹  任一平
作者单位:中国海洋大学水产学院;青岛海洋科学与技术国家实验室海洋渔业科学与食物产出过程功能实验室
基金项目:中央高校基本科研业务费专项(201612004);国家自然科学基金(31772852)
摘    要:实验以计算机模拟的管理策略评价方法为基础,以海州湾海域的银鲳、小黄鱼、大泷六线鱼和长蛇鲻为例,对基于数据有限方法的管理策略进行了分析评价。模拟结果显示,基于体长的管理策略能够在产量和避免过度捕捞间取得较好的权衡,其管理效果优于基于捕捞努力量的管理策略。模拟结果显示,银鲳和大泷六线鱼处于过渡捕捞状态;小黄鱼种群规模具有较大波动和不确定性;长蛇鲻种群未遭受过度捕捞。研究表明,基于有限数据评估方法的管理策略可以有效避免潜在的过度捕捞,提升遭受过度捕捞群体的产卵群体生物量规模,具有较好的可持续性,并能维持可观的产量,在我国具有广泛的运用前景。

关 键 词:渔业  资源评估  管理策略评价  数据有限方法  海州湾
收稿时间:2017/9/11 0:00:00
修稿时间:2017/10/31 0:00:00

Management strategy evaluation of fishery stocks in Haizhou Bay based on Data-Limited Methods
SUN Ming,ZHANG Chongliang,LI Yunzhou,XU Binduo,XUE Ying and REN Yiping.Management strategy evaluation of fishery stocks in Haizhou Bay based on Data-Limited Methods[J].Journal of Fisheries of China,2018,42(10):1661-1669.
Authors:SUN Ming  ZHANG Chongliang  LI Yunzhou  XU Binduo  XUE Ying and REN Yiping
Institution:College of Fisheries, Ocean University of China, Qingdao 266003, China,College of Fisheries, Ocean University of China, Qingdao 266003, China,College of Fisheries, Ocean University of China, Qingdao 266003, China,College of Fisheries, Ocean University of China, Qingdao 266003, China,College of Fisheries, Ocean University of China, Qingdao 266003, China and College of Fisheries, Ocean University of China, Qingdao 266003, China;Qingdao Laboratory for Marine Fisheries Science and Food Production Processes, National Laboratory for Marine Science and Technology, Qingdao 266237, China
Abstract:Data-limited stock assessment with Data-Limited Methods (DLMs) is capable of evaluating and managing data-limited fisheries and widely used in the world. Fisheries in China are at high risk of overfishing but meanwhile subject to limited data, which makes DLMs the optimal scientific advisory tools to support management. However, DLMs are rarely studied and implemented in China. In order to examine the effectiveness of DLMs in China, the present study conducts management strategy evaluation (MSE) with four data-limited management procedures (MPs) on silvery pomfret (Pampus argenteus), small yellow croaker (Larimichthys polyactis), greenling (Hexagrammos otakii), and lizardfish (Saurida elongate) from Haizhou Bay. According to the results, MPs based on DLMs are proved to be sustainable fisheries management methods by effectively enhancing the spawning stock biomass of overfished stocks while maintaining a considerable level of yield. The length-based MPs (matlenlim and minlenLopt) outperformed the effort-based MPs (CurE and CurE75) with better trade-offs between yields and overfishing. The results also suggest that, with the implementation of DLMs, the overfished status of silvery pomfret and greenling can be improved, and the lizardfish stock can be better exploited. DLMs with the small yellow croaker stock are subject to fluctuation and uncertainty. In general, DLMs have broad application prospect in China.
Keywords:fishery  sock assessment  management strategy evaluation (MSE)  Data-Limited Methods (DLMs)  Haizhou Bay
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