Ruslan A Saifutdinov, Maxim I Degtyarev, Daniil I Korobushkin, Svetlana M Artemieva, Philipp S Byzov, Margarita A Danilova, Alla A Ditts, Ksenia A Ermokhina, Petr G Garibian, Anastasia Yu Gorbunova, Polina A Guseva, Evgeniy I Karlik, Tatiana Yu Kondratieva, Dmitri A Kupriyanov, Iurii M Lebedev, Natalia V Lebedeva, Pavel A Nazarov, Alisa A Neplyukhina, Elizaveta A Noskova, Roman R Obolensky, Alexey A Panchenkov, Anna V Popova, Nina A Pronina, Joel Rüthi, Gabriela Schaepman-Strub, Svetlana V Shakhab, Andrey S Zaitsev, Vitalii A Zemlianskii, Elena Yu Zvychaynaya, Konstantin B Gongalsky
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引用次数: 0
Abstract
Background: Enchytraeids, commonly known as potworms, are small oligochaetes found worldwide in various terrestrial, freshwater and marine ecosystems. Despite their crucial role in ecosystem functioning, the diversity and abundance of Enchytraeidae are seldom studied due to the labour-intensive process of species identification. This study aims to address this gap and expand knowledge on the distribution and abundance of enchytraeids within the Northern Palaearctic Region. The provided dataset represents the latest and most comprehensive field sampling of enchytraeid communities within the European part of Russia within the Northern Palaearctic. It consists exclusively of an original set of soil samples systematically collected across the region from 2019 to 2023, without any previously published data included.
New information: The dataset includes occurrences from 204 georeferenced sites, encompassing 73 species from 17 genera, totalling 61,254 records, with 1,419 records having the "present'' occurrence status. This comprehensive, species-specific dataset (Darwin Core Archive - DwC-A) provides insights into the distribution and abundance of terrestrial enchytraeids across a wide geographic area, covering the eastern sector of the East European Plain and the North Caucasus Region within the Northern Palaearctic. Compiled from field sampling campaigns, this dataset is essential for exploring and understanding local and regional enchytraeid diversity over time and space. It also serves as a valuable resource for monitoring and conserving soil biodiversity in the studied region.
Biodiversity Data JournalAgricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
2.20
自引率
7.70%
发文量
283
审稿时长
6 weeks
期刊介绍:
Biodiversity Data Journal (BDJ) is a community peer-reviewed, open-access, comprehensive online platform, designed to accelerate publishing, dissemination and sharing of biodiversity-related data of any kind. All structural elements of the articles – text, morphological descriptions, occurrences, data tables, etc. – will be treated and stored as DATA, in accordance with the Data Publishing Policies and Guidelines of Pensoft Publishers.
The journal will publish papers in biodiversity science containing taxonomic, floristic/faunistic, morphological, genomic, phylogenetic, ecological or environmental data on any taxon of any geological age from any part of the world with no lower or upper limit to manuscript size.