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Sensitivity assessment as a tool for spatial and temporal gear-based fisheries management

机译：敏感性评估作为基于时空渔具的渔业管理工具

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摘要

Assessment of ecosystem health is required in the ecosystem approach to fisheries management (EAFM). Mitigation measures that address impacts exceeding the acceptable level also require assessment. The various fishing metiers have different ecosystem impacts and this makes it difficult to assess them jointly. Sensitivity of the ecosystem to individual fishing metiers has been assessed previously, but to our knowledge, concurrent comparisons of different metiers on the same ecosystem have not been done. In this study, we combined the main characteristics of established approaches to sensitivity assessment into a single roadmap, called Sensitivity Assessment of Gear Effects (SAGE). SAGE is a widely applicable, three-step process to assess the ecological concerns of EAFM. The methodology used in the SAGE roadmap is built on a scoring system, which then results in a sensitivity index of the ecosystem components to the fishing metiers. The scoring system is based on a combination of expert judgement and data, both qualitative and quantitative. It allows for cross-evaluation of fishing metiers and ecosystem components. Sensitivity maps are created using the spatial and temporal distribution patterns of the ecosystem components in the index. The uncertainty of the sensitivity scores and maps are estimated through a pedigree index. The index is based on proxy representation, empirical basis, methodological rigour, theoretical understanding and degree of validation, all of which measure the strength of the research results. The proposed methodology is illustrated using a case study that compares the ecosystem effects of beam trawl and trammel net fisheries. The selected examples did not result in unexpected outcomes, but were rather chosen to evaluate the applicability of our methodology. They illustrate how a semi-quantitative framework, which includes the uncertainties associated with scientific assessments, can deliver holistic advice to fisheries managers in a fully transparent manner.
机译：在渔业管理的生态系统方法（EAFM）中需要评估生态系统健康。解决影响超过可接受水平的缓解措施也需要评估。各个捕鱼阶层对生态系统的影响各不相同，因此很难对其进行共同评估。先前已经评估了生态系统对个体捕捞等级的敏感性，但是据我们所知，尚未对同一生态系统的不同捕捞等级同时进行比较。在这项研究中，我们将已建立的灵敏度评估方法的主要特征组合到一个单独的路线图中，称为齿轮效应灵敏度评估（SAGE）。 SAGE是评估EAFM生态问题的广泛适用的三步过程。 SAGE路线图中使用的方法基于评分系统，然后得出生态系统各组成部分对捕捞等级的敏感性指数。评分系统是基于专家判断和数据（定性和定量）的结合。它允许对捕鱼等级和生态系统组成部分进行交叉评估。使用索引中生态系统组件的时空分布模式创建敏感性图。敏感性分数和图谱的不确定性通过谱系指数估算。该指标基于代理人代表，经验基础，方法严谨性，理论理解和验证程度，所有这些均衡量了研究结果的强度。案例研究说明了拟议的方法，该案例比较了拖网拖网和践踏网渔业对生态系统的影响。选定的例子并没有导致意外的结果，而是被选择来评估我们方法论的适用性。它们说明了包括科学评估相关不确定性在内的半定量框架如何以完全透明的方式向渔业管理者提供整体建议。

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  • 来源
    《Ocean & coastal management》 |2014年第12期|149-160|共12页
  • 作者

    Jochen Depestele; Wouter Courtens; Steven Degraer; Jan Haelters; Kris Hostens; Mardik Leopold; Eunice Pinn; Bea Merckx; Hans Polet; Marijn Rabaut; Henning Reiss; Eric Stienen; Sofie Vandendriessche; Filip A.M. Volckaert; Magda Vincx;

  • 作者单位

    Institute for Agricultural and Fisheries Research (ILVO), Animal Sciences, Fisheries, Ankerstraat 1, 8400 Oostende, Belgium,Ghent University (UGent), Biology Department, Marine Biology Section, Krijgslaan 281, Campus Sterre S8, 9000 Gent, Belgium;

    Research Institute for Nature and Forest (INBO), Kliniekstraat 25, 1070 Brussels, Belgium;

    Royal Belgian Institute of Natural Sciences, Management Unit of the North Sea Mathematical Models (RBINS/MUMM), Gulledelle, 100, 1200 Brussel, Belgium & 3de en 23ste Linieregimentsplein, 8400 Oostende, Belgium;

    Royal Belgian Institute of Natural Sciences, Management Unit of the North Sea Mathematical Models (RBINS/MUMM), Gulledelle, 100, 1200 Brussel, Belgium & 3de en 23ste Linieregimentsplein, 8400 Oostende, Belgium;

    Institute for Agricultural and Fisheries Research (ILVO), Animal Sciences, Fisheries, Ankerstraat 1, 8400 Oostende, Belgium;

    Wageningen-IMARES, P.O. Box 167, Den Burg, The Netherlands;

    Joint Nature Conservation Committee, Inverdee House, Baxter Street, Aberdeen AB11 9QA, United Kingdom;

    Ghent University (UGent), Biology Department, Marine Biology Section, Krijgslaan 281, Campus Sterre S8, 9000 Gent, Belgium;

    Institute for Agricultural and Fisheries Research (ILVO), Animal Sciences, Fisheries, Ankerstraat 1, 8400 Oostende, Belgium;

    Ghent University (UGent), Biology Department, Marine Biology Section, Krijgslaan 281, Campus Sterre S8, 9000 Gent, Belgium;

    University of Nordland, Faculty of Biosciences and Aquaculture, Postbox 1290, 8049 Bodo, Norway;

    Research Institute for Nature and Forest (INBO), Kliniekstraat 25, 1070 Brussels, Belgium;

    Institute for Agricultural and Fisheries Research (ILVO), Animal Sciences, Fisheries, Ankerstraat 1, 8400 Oostende, Belgium;

    KU Leuven, Laboratory of Biodiversity and Evolutionary Genomics, Charles Deberiotstraat 32, 3000 Leuven, Belgium;

    Ghent University (UGent), Biology Department, Marine Biology Section, Krijgslaan 281, Campus Sterre S8, 9000 Gent, Belgium;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Comparing ecosystem effects of fishing gears; Ecosystem-based management; Evaluation of fishing pressures; Low impact gear; Marine spatial planning; Risk; Uncertainty;

    机译：比较渔具对生态系统的影响;基于生态系统的管理;评估捕鱼压力;低冲击齿轮;海洋空间规划;风险;不确定;

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