Poulin Robert, Kamiya Tsukushi
Department of Zoology,University of Otago,P.O. Box 56, Dunedin,New Zealand.
Parasitology. 2015 Jan;142(1):145-55. doi: 10.1017/S0031182013001534. Epub 2013 Oct 24.
The use of parasites as biological tags to discriminate among marine fish stocks has become a widely accepted method in fisheries management. Here, we first link this approach to its unstated ecological foundation, the decay in the similarity of the species composition of assemblages as a function of increasing distance between them, a phenomenon almost universal in nature. We explain how distance decay of similarity can influence the use of parasites as biological tags. Then, we perform a meta-analysis of 61 uses of parasites as tags of marine fish populations in multivariate discriminant analyses, obtained from 29 articles. Our main finding is that across all studies, the observed overall probability of correct classification of fish based on parasite data was about 71%. This corresponds to a two-fold improvement over the rate of correct classification expected by chance alone, and the average effect size (Zr = 0·463) computed from the original values was also indicative of a medium-to-large effect. However, none of the moderator variables included in the meta-analysis had a significant effect on the proportion of correct classification; these moderators included the total number of fish sampled, the number of parasite species used in the discriminant analysis, the number of localities from which fish were sampled, the minimum and maximum distance between any pair of sampling localities, etc. Therefore, there are no clear-cut situations in which the use of parasites as tags is more useful than others. Finally, we provide recommendations for the future usage of parasites as tags for stock discrimination, to ensure that future applications of the method achieve statistical rigour and a high discriminatory power.
利用寄生虫作为生物标签来区分海洋鱼类种群,已成为渔业管理中一种广泛接受的方法。在此,我们首先将这种方法与其未阐明的生态基础联系起来,即随着组合之间距离的增加,组合物种组成的相似性会下降,这是自然界中几乎普遍存在的一种现象。我们解释了相似性的距离衰减如何影响寄生虫作为生物标签的使用。然后,我们对从29篇文章中获取的61项将寄生虫用作海洋鱼类种群标签的多变量判别分析进行了荟萃分析。我们的主要发现是,在所有研究中,基于寄生虫数据观察到的鱼类正确分类的总体概率约为71%。这比仅靠随机预期的正确分类率提高了两倍,并且根据原始值计算出的平均效应大小(Zr = 0·463)也表明是中等到较大的效应。然而,荟萃分析中纳入的调节变量均对正确分类的比例没有显著影响;这些调节变量包括采样鱼类的总数、判别分析中使用的寄生虫物种数量、采样鱼类的地点数量、任意一对采样地点之间的最小和最大距离等。因此,不存在寄生虫作为标签的使用比其他情况更有用的明确情形。最后,我们为未来将寄生虫用作种群区分标签的使用提供了建议,以确保该方法的未来应用达到统计严谨性和高辨别力。