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Parasites as biological tags of fish stocks: a meta-analysis of their discriminatory power

机译：寄生虫作为鱼类库存的生物标记：鉴别权力的荟萃分析

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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.
机译：使用寄生物作为生物标签以歧视海洋鱼类库存已成为渔业管理中广泛接受的方法。在这里，我们首先将这种方法与其未列生态基础联系起来，衰减在组合物种组成的相似性中，作为它们之间的距离增加，几乎普遍的现象。我们解释了相似性的距离衰减程度如何影响寄生虫作为生物标签的使用。然后，我们对寄生虫的61种寄生虫进行了META分析，因为从29篇文章中获得的多元判别分析中的海洋鱼群的标签。我们的主要发现是，在所有研究中，基于寄生虫数据的正确分类的鱼类的总体概率约为71％。这对应于通过机径预期的正确分类速率的两倍改善，并且从原始值计算的平均效果大小（Zr = 0.463）也表明了媒体到大的效果。然而，Meta分析中包含的主持人变量都没有对正确分类的比例产生显着影响;这些主持人包括采样的鱼类总数，判别分析中使用的寄生虫种类的数量，对鱼类的鱼类从中采样的数量，任何一对采样区之间的最小距离等，因此没有在其中使用寄生虫作为标签的清除情况比其他形式更有用。最后，我们为未来使用寄生虫作为股票歧视的标签提供了建议，以确保该方法的未来应用实现统计严格和高鉴别权。

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