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何时才足够?量化渔具选择性数据在信息质量和采样努力之间的权衡。

When is enough, enough? Quantifying trade-offs between information quality and sampling effort for fishing gear selectivity data.

机构信息

DTU Aqua, Technical University of Denmark, Hirtshals, Denmark.

SINTEF Fisheries and Aquaculture, Hirtshals, Denmark.

出版信息

PLoS One. 2018 Jun 21;13(6):e0199655. doi: 10.1371/journal.pone.0199655. eCollection 2018.

Abstract

There is general pressure throughout the world's fisheries for the industry to have greater involvement not only in the development of fishing gears but also in the testing and documentation of their effect. In the European Union, the Common Fisheries Policy of 2013, together with the proposed reform of the technical measures regulation, highlights the need for greater flexibility in fisheries through increased stakeholder involvement. To achieve this flexibility, there is a need for additional fishing gears available to the fishermen. A way to facilitate this is to have the industry take part in the development and testing of fishing gears, as well as collect data on their performance. However, to have a successful industry-collected data programme, fishermen have to be able to collect data on the length of a portion of the catch. In this study, we determine how many individuals need to be measured to correctly evaluate the relative selective performance of a new gear compared to a standard gear. The evaluation was carried out by analysing catch ratio curves, their associated uncertainties, and the trade-offs between uncertainties and sampling effort. Results show that with relatively small sample sizes (500 to 1000 individuals) it is possible to correctly evaluate the performance of a gear for a given species. By having the industry develop and test their own gears, as well as being involved in the collection of data, the number of potential gear solutions available to address the different issues emerging in the fisheries is increased.

摘要

世界范围内的渔业普遍要求该行业不仅要更多地参与渔具的开发,还要参与渔具效果的测试和记录。在欧盟,2013 年的共同渔业政策,以及拟议的技术措施法规改革,强调需要通过增加利益相关者的参与,使渔业更加灵活。为了实现这种灵活性,渔民需要更多的渔具。促进这一目标的一种方法是让行业参与渔具的开发和测试,并收集渔具性能的数据。然而,要使行业收集数据的方案取得成功,渔民必须能够收集部分渔获物的长度数据。在这项研究中,我们确定了需要测量多少个体,才能正确评估一种新渔具相对于标准渔具的相对选择性表现。评估是通过分析渔获比曲线、它们的相关不确定性,以及不确定性和采样努力之间的权衡来进行的。结果表明,在相对较小的样本量(500 到 1000 个个体)的情况下,就有可能正确评估给定物种的渔具性能。通过让行业开发和测试自己的渔具,并参与数据收集,可以增加解决渔业中出现的不同问题的潜在渔具解决方案的数量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/6013241/a21d932c82b6/pone.0199655.g001.jpg

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