{"title":"Earthworm occurrence dataset extracted from Russian-language literature.","authors":"Maxim Shashkov, Natalya Ivanova, Sergey Ermolov","doi":"10.3897/BDJ.12.e130897","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Earthworms are one of the most important components of temperate ecosystems and groups of soil animals globally, but data on their distribution around the world are still incomplete and uneven. Northern Eurasia is a region for which available data on earthworm distribution is extremely poor. At the same time, generations of Soviet and Russian researchers have performed extensive research and accumulated a large amount of data on the distribution of earthworms in this vast region. Most of this information was published in Russian, not digitised and, therefore, hardly accessible to researchers. Our dataset fills this gap and provides occurrence data extracted from 159 literature sources in Russian published between 1868 and 2022. The dataset contains 5,304 occurrences of 109 species and 14 subspecies. The collected data cover the territory of 27 countries.</p><p><strong>New information: </strong>The dataset extends the data available through GBIF.org on earthworm distribution in Russia, Belarus, and Ukraine. For Transcaucasia and Central Asia countries, our resource has become the main GBIF source on earthworm diversity distribution. On a global scale, our dataset contributes to filling gaps in biodiversity, which facilitates more accurate estimates of the response of biodiversity to global climate change as well as the spreading of invasive species.</p>","PeriodicalId":55994,"journal":{"name":"Biodiversity Data Journal","volume":"12 ","pages":"e130897"},"PeriodicalIF":1.0000,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667201/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biodiversity Data Journal","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.3897/BDJ.12.e130897","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"BIODIVERSITY CONSERVATION","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Earthworms are one of the most important components of temperate ecosystems and groups of soil animals globally, but data on their distribution around the world are still incomplete and uneven. Northern Eurasia is a region for which available data on earthworm distribution is extremely poor. At the same time, generations of Soviet and Russian researchers have performed extensive research and accumulated a large amount of data on the distribution of earthworms in this vast region. Most of this information was published in Russian, not digitised and, therefore, hardly accessible to researchers. Our dataset fills this gap and provides occurrence data extracted from 159 literature sources in Russian published between 1868 and 2022. The dataset contains 5,304 occurrences of 109 species and 14 subspecies. The collected data cover the territory of 27 countries.
New information: The dataset extends the data available through GBIF.org on earthworm distribution in Russia, Belarus, and Ukraine. For Transcaucasia and Central Asia countries, our resource has become the main GBIF source on earthworm diversity distribution. On a global scale, our dataset contributes to filling gaps in biodiversity, which facilitates more accurate estimates of the response of biodiversity to global climate change as well as the spreading of invasive species.
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.