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1816年赭夜蛾属(鳞翅目:夜蛾科)里沃鲁姆种群的分类学

Taxonomy of the rivorum species-group of Leucania Ochsenheimer, 1816 (Lepidoptera: Noctuidae).

作者信息

Dolibaina Diego Rodrigo, Casagrande Mirna Martins, Specht Alexandre, Mielke Olaf Hermann Hendrik, Legrain Albert, Zilli Alberto, Goldstein Paul

机构信息

Laboratório de Estudos de Lepidoptera Neotropical, Departamento de Zoologia, Universidade Federal do Paraná, P.O. Box 19.020, 81.531-980, Curitiba, Brazil..

出版信息

Zootaxa. 2019 Dec 17;4711(3):zootaxa.4711.3.6. doi: 10.11646/zootaxa.4711.3.6.

Abstract

The rivorum species-group of the genus Leucania (Noctuidae: Noctuinae: Leucaniini) is circumscribed and taxonomically revised, with the inclusion of three species. New taxonomic hypotheses were achieved through the morphological analysis of about 250 specimens allied to the type material of L. rivorum Guenée, 1852; L. pampa Schaus, 1894, stat. rev.; and Neleucania multistria Köhler, 1947, stat. rev., the last two resurrected from synonymy with L. rivorum and Dargida lithophilus (Butler, 1882), respectively. Adult habitus and morphology of the genitalia support the transfer of Neleucania multistria to Leucania, comb. nov. Lectotypes for L. rivorum and L. pampa are designated to ensure nomenclatural stability and recognizability of these taxa. Additionally, the similar, rust-colored species Leucania chejela (Schaus, 1921) is compared with species of the rivorum species-group, and is recorded from South America for the first time. All species of the rivorum group are re-described, with high-resolution images of taxonomic characters of the adults (head, patagium, and male and female genitalia), and updated distributional maps presented.

摘要

对白禾螟属(夜蛾科:夜蛾亚科:白禾螟族)的里沃鲁姆物种组进行了界定和分类修订,包括三个物种。通过对约250个与1852年的里沃鲁姆白禾螟(Guenée)模式标本相关的标本进行形态分析,得出了新的分类假设;1894年的潘帕白禾螟(Schaus),新地位;以及1947年的多纹新白禾螟(Köhler),新地位,后两者分别从与里沃鲁姆白禾螟和嗜石达尔吉夜蛾(巴特勒,1882)的同物异名中恢复。成虫的形态和生殖器形态支持将多纹新白禾螟转移到白禾螟属,新组合。指定了里沃鲁姆白禾螟和潘帕白禾螟的选模标本,以确保这些分类单元的命名稳定性和可识别性。此外,将相似的锈色物种切杰拉白禾螟(肖斯,1921)与里沃鲁姆物种组的物种进行了比较,并首次记录于南美洲。对里沃鲁姆组的所有物种进行了重新描述,并提供了成虫(头部、翅轭以及雄性和雌性生殖器)分类特征的高分辨率图像以及更新的分布图。

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