A probability-based approach to setting annual catch levels

被引:0
|
作者
Shertzer, Kyle W. [1 ]
Prager, Michael H. [1 ]
Williams, Erik H. [1 ]
机构
[1] NOAA, SE Fisheries Sci Ctr, Ctr Coastal Fisheries & Habitat Res, Beaufort, NC 28516 USA
来源
FISHERY BULLETIN | 2008年 / 106卷 / 03期
关键词
D O I
暂无
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
The requirement of setting annual catch limits to prevent overfishing has been added to the Magnuson-Stevens Fishery Conservation and Management Reauthorization Act of 2006 (MSRA). Because this requirement is new, a body of applied scientific practice for deriving annual catch limits and accompanying targets does not yet exist. This article demonstrates an approach to setting levels of catch that is intended to keep the probability of future overfishing at a preset low level. The proposed framework is based on stochastic projection with uncertainty in population dynamics. The framework extends common projection methodology by including uncertainty in the limit reference point and in management implementation, and by making explicit the risk of overfishing that managers consider acceptable. The approach is illustrated with application to gag (Mycteroperca microlepis), a grouper that inhabits the waters off the southeastern United States. Although devised to satisfy new legislation of the MSRA, the framework has potential application to any fishery where the management goal is to limit the risk of overfishing by controlling catch.
引用
收藏
页码:225 / 232
页数:8
相关论文
共 50 条
  • [31] A probability-based approach for the analysis of large-scale RNAi screens
    Koenig, Renate
    Chiang, Chih-Yuan
    Tu, Buu P.
    Yan, S. Frank
    DeJesus, Paul D.
    Romero, Angelica
    Bergauer, Tobias
    Orth, Anthony
    Krueger, Ute
    Zhou, Yingyao
    Chanda, Sumit K.
    NATURE METHODS, 2007, 4 (10) : 847 - 849
  • [32] Utilization of Unlicensed Spectrum in Cognitive Radio Networks: A Probability-based Approach
    Omer, Ala Eldin
    Shubair, Raed M.
    2017 INTERNATIONAL CONFERENCE ON ELECTRICAL AND COMPUTING TECHNOLOGIES AND APPLICATIONS (ICECTA), 2017, : 696 - 701
  • [33] A probability-based approach for the analysis of large-scale RNAi screens
    Renate König
    Chih-yuan Chiang
    Buu P Tu
    S Frank Yan
    Paul D DeJesus
    Angelica Romero
    Tobias Bergauer
    Anthony Orth
    Ute Krueger
    Yingyao Zhou
    Sumit K Chanda
    Nature Methods, 2007, 4 : 847 - 849
  • [34] A Probability-Based Approach for Solving Shortest Path Problems in Gaussian Networks
    Abi-Char, Pierre E.
    Youssef, Ahmed
    2019 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2019,
  • [35] A probability-based approach for multi-scale image feature extraction
    Thanh Le
    Schuff, Norbert
    2014 11TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: NEW GENERATIONS (ITNG), 2014, : 143 - 148
  • [36] Sweet tweets! Evaluating a new approach for probability-based sampling of Twitter
    Trent D. Buskirk
    Brian P. Blakely
    Adam Eck
    Richard McGrath
    Ravinder Singh
    Youzhi Yu
    EPJ Data Science, 11
  • [37] Reliability-Aware VNF Placement Using a Probability-Based Approach
    Wu, Yunyi
    Zheng, Weichang
    Zhang, Yongbing
    Li, Jie
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2021, 18 (03): : 2478 - 2491
  • [38] Sweet tweets! Evaluating a new approach for probability-based sampling of Twitter
    Buskirk, Trent D.
    Blakely, Brian P.
    Eck, Adam
    McGrath, Richard
    Singh, Ravinder
    Yu, Youzhi
    EPJ DATA SCIENCE, 2022, 11 (01)
  • [39] Probability-based determination of design earthquakes
    Takada, T
    Ochi, S
    Kanda, J
    PROBABILISTIC SAFETY ASSESSMENT AND MANAGEMENT, VOL I AND II, PROCEEDINGS, 2002, : 1737 - 1747
  • [40] Transition probability-based indicator geostatistics
    Carle, SF
    Fogg, GE
    MATHEMATICAL GEOLOGY, 1996, 28 (04): : 453 - 476