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应用生态学报 ›› 2018, Vol. 29 ›› Issue (8): 2778-2786.doi: 10.13287/j.1001-9332.201808.035

• 综合评述 • 上一篇    下一篇

海洋甲壳类生物资源评估方法研究进展

王芮1,3, 朱国平1,2,3*   

  1. 1上海海洋大学海洋科学学院, 上海 201306;
    2国家远洋渔业工程技术研究中心, 上海 201306;
    3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极地海洋生态系统研究室, 上海 201306
  • 收稿日期:2017-10-22 出版日期:2018-08-20 发布日期:2018-08-20
  • 通讯作者: E-mail: gpzhu@shou.edu.cn
  • 作者简介:王 芮,女,1992年生,博士研究生. 主要从事渔业资源评估工作. E-mail: mangguomusi1992@163.com
  • 基金资助:

    本文由国家自然科学基金项目(41776185,41606210)、国家科技支撑计划项目(2013BAD13B03)和上海市教委重点课程建设项目资助

Stock assessment methods on marine crustacean species: A review.

WANG Rui1,3, ZHU Guo-ping1,2,3*   

  1. 1College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China;
    2National Engineering Research Center for Oceanic Fisheries, Shanghai 201306, China;
    3Polar Marine Ecosystem Group, Ministry of Education Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Shanghai Ocean University, Shanghai 201306, China.
  • Received:2017-10-22 Online:2018-08-20 Published:2018-08-20
  • Supported by:

    The work was supported by the National Natural Science Foundation of China (41776185, 41606210), National Science and Technology Support Program (2013BAD13B03) and Key Constructed Course Project of Shanghai Municipal Education Commission.

摘要: 目前甲壳类生物资源,如蟹、龙虾、对虾及南极磷虾等组成了全球庞大且极具商业价值的渔业.虽然这些渔业的重要性逐步提升,规模也在扩大,但相对于其他渔业,适合且有效的海洋甲壳类资源评估与管理方法仍需进一步发展.本文回顾和评价了各种用于甲壳类生物资源评估的方法与模型,对剩余产量模型、时滞差分模型、损耗模型及体长结构模型等应用到甲壳类生物资源评估的4种主要模型进行了归纳和分析,简要地总结了这几种模型在应用时所需要的假设前提以及对所需数据的要求等,并对比分析了几种模型的优、缺点.此外,本文还列举了关于资源评估方法中模型的假设要求.参数的估算方法、不确定性来源及一般性解决办法等.最后,本文对甲壳类资源评估方法的发展方向和前景进行了展望.

Abstract: Crustaceans, such as crab, lobster, prawn, and Antarctic krill, have formed a vast and commercially valuable fishery globally. Although the importance and scale of these crustacean fishe-ries are increasing, the suitable and effective methods for stock assessment and management of crustacean fisheries are urgent to be improved compared to other fisheries. We reviewed and evaluated four kinds of stock assessment methods for assessing crustacean fishery, including the surplus production model, delay-difference model, the depletion model, and size-structured model. We described the application of those models in stock assessment of crustacean fishery, and briefly summarized the assumptions and data needed in these models. We further compared the advantages and disadvantages of those models. In addition, the assumptions of the models, the estimation method of the parameters, and the general solution of uncertainty were analyzed. Finally, the future direction and prospect of crustacean stock assessment were discussed.