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Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

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Global fine-resolution data on springtail abundance and community structure.

Anton M Potapov^1,2,3, Ting-Wen Chen⁴, Anastasia V Striuchkova⁵

¹German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany. potapov.msu@gmail.com.

Scientific Data

|January 3, 2024

Summary

This study introduces a global springtail (Collembola) community database, detailing 249,912 occurrences across diverse habitats. The database provides essential data for understanding soil arthropod distribution and ecology worldwide.

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Area of Science:

Ecology
Biodiversity Science
Soil Science

Background:

Springtails (Collembola) are globally distributed soil arthropods, representing a significant portion of terrestrial invertebrate biomass.
Understanding the spatial distribution and community structure of springtails is crucial for soil ecosystem health assessments.

Purpose of the Study:

To present a comprehensive, spatially-explicit global database of springtail communities.
To provide standardized, quality-controlled occurrence data for ecological research.
To facilitate future research on springtail ecology and biodiversity.

Main Methods:

Compilation of 249,912 springtail occurrences from 44,999 samples across 2,990 sites.
Data standardization and taxonomic validation from private author archives.
Inclusion of data stratified by habitat, soil layer, season, and year for temporal and spatial variation.

Main Results:

The database covers all continents, with a strong representation from European woodlands, grasslands, agrosystems, and scrublands.
Data includes species-level records, enabling detailed community analysis.
Provided R code and data sharing guidelines to promote database accessibility and use.

Conclusions:

This database serves as a valuable resource for global springtail research and soil biodiversity studies.
The current version is a static snapshot, with plans for future expansion to underrepresented regions and integration with trait data.
The accessibility of this data and associated code will foster broader ecological investigations.