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Delimitation difficulties in species splits: a morphometric case study on the Euxoa tritici complex (Lepidoptera, Noctuidae)

机译:物种分裂中的划界困难:Euxoa tritici复合体(鳞翅目,夜蛾科)的形态学案例研究

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摘要

Genital characteristics tend to vary greatly between Lepidoptera species, providing helpful features for species delimitation. The differences between species are usually remarkable and suspicions about species identity never arise. However, fairly often, and possibly increasingly, taxa are elevated to species rank on the basis of very slight morphological differences, often without quantitative support. Euxoa tritici (Linnaeus) is a typical example of a variable species split into several morphologically similar species. The present study tested whether the diagnostic genital characters of the current classification, based on nonquantitative methodology, provide safe identification of species. Both traditional distance morphometrics as well as modern geometric morphometrics, which also enables quantitative shape exploration, were used. Moreover, whether the study specimens can be unambiguously categorized into several species with visual comparisons was tested independently using four specialist entomologists. Genital types of several named species as well as considerable variation in genitalia were found, but no support was found for the presence of several morphologically distinguishable species with quantitative morphometric analyses. Neitherwere study specimens categorized unambiguously by specialists. The results suggest that pure visual comparisons may lead to unsound taxonomic conclusions and that a quantitative approach in critical cases should be used more frequently.
机译:鳞翅目物种之间的生殖器特征往往相差很大,为物种划分提供了有用的特征。物种之间的差异通常很明显,并且从未出现关于物种身份的怀疑。但是,基于非常轻微的形态差异,并且经常没有定量支持,相当经常地并且可能越来越多地将分类单元提高到物种等级。小麦(Euxoa tritici)(Linnaeus)是将可变物种分为几种形态相似的物种的典型示例。本研究测试了基于非定量方法的当前分类的诊断生殖器特征是否可以提供物种的安全鉴定。传统的距离形态计量学和现代几何形态计量学都可以使用定量形状探索。此外,使用四名专业昆虫学家独立测试了是否可以通过视觉比较将研究样本明确地分为几个物种。发现了几种命名物种的生殖器类型以及生殖器的显着变化,但没有发现通过定量形态计量学分析支持存在几种形态上可区分的物种。专家们都没有对研究标本进行明确分类。结果表明,纯粹的视觉比较可能会得出不合理的分类学结论,在关键情况下应更频繁地使用定量方法。

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