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      A nearly complete database on the records and ecology of the rarest boreal tiger moth from 1840s to 2020

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          Abstract

          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.

          Abstract

          Measurement(s) specimen record • biological parameters of specimen • environmental characteristics • sampling date • habitat image • specimen image
          Technology Type(s) digital curation
          Factor Type(s) year • month • ten-day period • day • geographic location • altitude • habitat • landscape type • presence of waterbody • ecoregion • developmental stage • sex • individual condition
          Sample Characteristic - Organism Menetries’ Tiger Moth Arctia menetriesii (Insecta: Lepidoptera: Erebidae)
          Sample Characteristic - Environment taiga biome • high-altitude environment
          Sample Characteristic - Location Northern Eurasia

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          Most cited references68

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          Terrestrial Ecoregions of the World: A New Map of Life on Earth

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            Defaunation in the Anthropocene.

            We live amid a global wave of anthropogenically driven biodiversity loss: species and population extirpations and, critically, declines in local species abundance. Particularly, human impacts on animal biodiversity are an under-recognized form of global environmental change. Among terrestrial vertebrates, 322 species have become extinct since 1500, and populations of the remaining species show 25% average decline in abundance. Invertebrate patterns are equally dire: 67% of monitored populations show 45% mean abundance decline. Such animal declines will cascade onto ecosystem functioning and human well-being. Much remains unknown about this "Anthropocene defaunation"; these knowledge gaps hinder our capacity to predict and limit defaunation impacts. Clearly, however, defaunation is both a pervasive component of the planet's sixth mass extinction and also a major driver of global ecological change. Copyright © 2014, American Association for the Advancement of Science.
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              Worldwide decline of the entomofauna: A review of its drivers

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                Author and article information

                Contributors
                inepras@yandex.ru
                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group UK (London )
                2052-4463
                25 March 2022
                25 March 2022
                2022
                : 9
                : 107
                Affiliations
                [1 ]GRID grid.462706.1, ISNI 0000 0004 0497 5323, Northern Arctic Federal University, ; Northern Dvina Emb. 17, 163002 Arkhangelsk, Russia
                [2 ]GRID grid.513051.3, 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
                [3 ]Institute of Water and Ecology Problems of the Far Eastern Branch of the Russian Academy of Sciences, 56 Dikopoltsev Str., 680000 Khabarovsk, Russia
                [4 ]GRID grid.440717.1, ISNI 0000 0001 1018 3793, Petrozavodsk State University, ; Lenin Av. 33, 185910 Petrozavodsk, Russia
                [5 ]Lipetsk, Russia
                [6 ]Irkutsk Anti-Plague Research Institute of Siberia and the Russian Far East, Trilisser Str. 78, 664047 Irkutsk, Russia
                [7 ]GRID grid.469643.a, Institute of General and Experimental Biology of the Siberian Branch of the Russian Academy of Sciences, ; Sakhyanova Str. 6, 670047 Ulan-Ude, Russia
                [8 ]Institute of Human Ecology of the Siberian Branch of the Russian Academy of Sciences, Leningradski Av. 10, 650065 Kemerovo, Russia
                [9 ]GRID grid.439287.3, ISNI 0000 0001 2314 7601, Zoological Institute of the Russian Academy of Sciences, Universitetskaya Emb. 1, ; 199034 Saint-Petersburg, Russia
                [10 ]Yakut Science Centre of Complex Medical Problems of the Siberian Branch of the Russian Academy of Sciences, Yaroslavskogo Str. 6/3, 677000 Yakutsk, Russia
                [11 ]Yugansky State Nature Reserve, Ugut Village, 628458 Surgut District, Khanty-Mansi Region, Russia
                [12 ]Moscow, Russia
                [13 ]Vantaa, Finland
                [14 ]Espoo, Finland
                [15 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Department of Forest Sciences, , University of Helsinki, ; PO Box 27, 00014 Helsinki, Finland
                Author information
                http://orcid.org/0000-0002-3878-4192
                http://orcid.org/0000-0002-8532-0307
                http://orcid.org/0000-0002-9831-079X
                Article
                1230
                10.1038/s41597-022-01230-8
                8956709
                35338150
                de8e1f2d-9793-4540-83c3-81eb0f8f22f3
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 2 September 2021
                : 22 February 2022
                Funding
                Funded by: The Ministry of Science and Higher Education of the Russian Federation partly supported this work (project No. 0793-2020-0005 to I.N.B. and A.V.K., project No. 0409-2019-0041 to M.Y.G., and project No. 0409-2019-0042 to Y.S.K and V.M.S.)
                Categories
                Data Descriptor
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                © The Author(s) 2022

                phenology,population dynamics,entomology
                phenology, population dynamics, entomology

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