Refining Fisheries Advice With Stock-Specific Ecosystem Information
Refining Fisheries Advice With Stock-Specific Ecosystem Information
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DOI：
10.3389/fmars.2021.602072
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发表时间：
2021-04-09
影响因子：
3.7
通讯作者：
Reid, David G.
中科院分区：
文献类型：
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作者：
Bentley, Jacob W.;Lundy, Mathieu G.;Reid, David G.
虽然经常被建议作为基于生态系统的渔业管理的一个目标，但将生态系统信息纳入渔业资源评估已证明具有挑战性。输入数据的不确定性，加上复杂的多鱼种模型的结构不确定性，目前使得使用这些模型的绝对值作为短期单鱼种渔业管理咨询意见是有争议的。在这里，我们提出了一种不同的方法，标准的评估方法可以使用生态系统模型派生的信息进行增强。使用爱尔兰海的案例研究，我们说明了如何具体的股票生态系统指标可以用来设置一个基于生态系统的捕捞死亡率参考点（对外经济合作组织）内？收益不错？国际海洋考察理事会目前在欧洲采用的预防性办法是捕捞死亡率的幅度。我们建议，这个新的目标，对外经济合作中心，可用于规模捕捞死亡率下降时，生态系统条件的股票是穷人和上升时，条件很好。这一方法提供了一种将生态系统信息纳入渔获量建议的简化量化方式，并提供了一个实施生态系统模型和经验指标的机会，同时保持了当前评估模型和基于FMSY的建议程序的完整性。
Although frequently suggested as a goal for ecosystem-based fisheries management, incorporating ecosystem information into fisheries stock assessments has proven challenging. The uncertainty of input data, coupled with the structural uncertainty of complex multi-species models, currently makes the use of absolute values from such models contentious for short-term single-species fisheries management advice. Here, we propose a different approach where the standard assessment methodologies can be enhanced using ecosystem model derived information. Using a case study of the Irish Sea, we illustrate how stock-specific ecosystem indicators can be used to set an ecosystem-based fishing mortality reference point (FECO) within the ?Pretty Good Yield? ranges for fishing mortality which form the present precautionary approach adopted in Europe by the International Council for the Exploration of the Sea (ICES). We propose that this new target, FECO, can be used to scale fishing mortality down when the ecosystem conditions for the stock are poor and up when conditions are good. This approach provides a streamlined quantitative way of incorporating ecosystem information into catch advice and provides an opportunity to operationalize ecosystem models and empirical indicators, while retaining the integrity of current assessment models and the FMSY-based advice process.