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Earthworm occurrence dataset extracted from Russian-language literature.

Maxim Shashkov1, Natalya Ivanova1, Sergey Ermolov1,2

  • 1Institute of Mathematical Problems of Biology RAS - the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Pushchino, Russia Institute of Mathematical Problems of Biology RAS - the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences Pushchino Russia.

Biodiversity Data Journal
|December 25, 2024
PubMed
Summary

This study compiles extensive earthworm distribution data from Northern Eurasia, filling critical knowledge gaps. The dataset enhances global biodiversity understanding and aids climate change impact assessments.

Keywords:
Northern Eurasiadata miningdata mobilisationgrey literaturetaxonomic checklists

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Area of Science:

  • Zoology
  • Ecology
  • Biodiversity Science

Background:

  • Earthworms are crucial for temperate ecosystems, yet their global distribution data remain incomplete, especially for Northern Eurasia.
  • Vast amounts of earthworm distribution research exist in Russian literature but are largely inaccessible due to lack of digitization.
  • This dataset addresses the data scarcity by compiling information from 159 Russian-language sources spanning 1868-2022.

Purpose of the Study:

  • To create a comprehensive dataset of earthworm occurrences in Northern Eurasia.
  • To make previously inaccessible Russian research data available to the global scientific community.
  • To improve understanding of earthworm distribution for biodiversity and climate change research.

Main Methods:

  • Data extraction from 159 Russian-language literature sources published between 1868 and 2022.
  • Compilation of 5,304 earthworm occurrence records, covering 109 species and 14 subspecies.
  • Inclusion of data from 27 countries across Northern Eurasia and surrounding regions.

Main Results:

  • The dataset significantly expands earthworm distribution information for Russia, Belarus, and Ukraine on GBIF.org.
  • It provides the primary GBIF data source for earthworm diversity in Transcaucasia and Central Asia.
  • The compiled data include 5,304 occurrences of 109 species and 14 subspecies across 27 countries.

Conclusions:

  • This dataset bridges a significant data gap in earthworm distribution for Northern Eurasia.
  • It enhances global biodiversity data, supporting more accurate climate change impact and invasive species spread modeling.
  • The accessible data will facilitate future ecological research on earthworm roles in various ecosystems.