Northern Arctic Federal University, Northern Dvina Emb. 17, 163002, Arkhangelsk, Russia.
N. Laverov Federal Center for Integrated Arctic Research of the Ural Branch of the Russian Academy of Sciences, Northern Dvina Emb. 23, 163000, Arkhangelsk, Russia.
Sci Data. 2022 Mar 25;9(1):107. doi: 10.1038/s41597-022-01230-8.
Global environmental changes may cause dramatic insect declines but over century-long time series of certain species' records are rarely available for scientific research. The Menetries' Tiger Moth (Arctia menetriesii) appears to be the most enigmatic example among boreal insects. Although it occurs throughout the entire Eurasian taiga biome, it is so rare that less than 100 specimens were recorded since its original description in 1846. Here, we present the database, which contains nearly all available information on the species' records collected from 1840s to 2020. The data on A. menetriesii records (N = 78) through geographic regions, environments, and different timeframes are compiled and unified. The database may serve as the basis for a wide array of future research such as the distribution modeling and predictions of range shifts under climate changes. It represents a unique example of a more than century-long dataset of distributional, ecological, and phenological data designed for an exceptionally rare but widespread boreal insect, which primarily occurs in hard-to-reach, uninhabited areas of Eurasia.
全球环境变化可能导致昆虫数量急剧减少，但由于缺乏某些物种的百年长期记录，相关科学研究也十分有限。Menetries' Tiger Moth（Arctia menetriesii）似乎是北方昆虫中最神秘的例子。尽管它存在于整个欧亚大陆北方森林生物群系，但由于其自 1846 年被首次描述以来，记录到的标本不到 100 个，因此非常罕见。在这里，我们提供了一个数据库，其中包含了自 19 世纪 40 年代至 2020 年收集到的有关该物种记录的几乎所有可用信息。通过地理区域、环境和不同时间框架对 A. menetriesii 记录的数据（N=78）进行了编译和统一。该数据库可以作为未来广泛研究的基础，例如在气候变化下分布模型和范围转移的预测。它代表了一个独特的例子，即一个多世纪以来针对分布、生态和物候数据的数据集，这些数据是为一种异常罕见但分布广泛的北方昆虫设计的，该昆虫主要存在于欧亚大陆难以到达和无人居住的地区。
