Global fine-resolution data on springtail abundance and community structure

Potapov, Anton M. and Chen, Ting-Wen and Striuchkova, Anastasia V. and Alatalo, Juha M. and Alexandre, Douglas and Arbea, Javier and Ashton, Thomas and Ashwood, Frank and Babenko, Anatoly B. and Bandyopadhyaya, Ipsa and Baretta, Carolina Riviera Duarte Maluche and Baretta, Dilmar and Barnes, Andrew D. and Bellini, Bruno C. and Bendjaballah, Mohamed and Berg, Matty P. and Bernava, Verónica and Bokhorst, Stef and Bokova, Anna I. and Bolger, Thomas and Bouchard, Mathieu and Brito, Roniere A. and Buchori, Damayanti and Castaño-Meneses, Gabriela and Chauvat, Matthieu and Chomel, Mathilde and Chow, Yasuko and Chown, Steven L. and Classen, Aimee T. and Cortet, Jérôme and Winkler, Dániel (2024) Global fine-resolution data on springtail abundance and community structure. SCIENTIFIC DATA, 11 (1). ISSN 2052-4463

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Abstract

Springtails (Collembola) inhabit soils from the Arctic to the Antarctic and comprise an estimated ~32% of all terrestrial arthropods on Earth. Here, we present a global, spatially-explicit database on springtail communities that includes 249,912 occurrences from 44,999 samples and 2,990 sites. These data are mainly raw sample-level records at the species level collected predominantly from private archives of the authors that were quality-controlled and taxonomically-standardised. Despite covering all continents, most of the sample-level data come from the European continent (82.5% of all samples) and represent four habitats: woodlands (57.4%), grasslands (14.0%), agrosystems (13.7%) and scrublands (9.0%). We included sampling by soil layers, and across seasons and years, representing temporal and spatial within-site variation in springtail communities. We also provided data use and sharing guidelines and R code to facilitate the use of the database by other researchers. This data paper describes a static version of the database at the publication date, but the database will be further expanded to include underrepresented regions and linked with trait data.

Tudományterület / tudományág

agricultural sciences > forestry and wildlife management

Faculty

Not relevant

Institution

Soproni Egyetem

Item Type:	Article
SWORD Depositor:	Teszt Sword
Depositing User:	Csaba Horváth
Identification Number:	MTMT:34475604
Date Deposited:	22 Jan 2024 09:48
Last Modified:	22 Jan 2024 09:48
URI:	http://publicatio.uni-sopron.hu/id/eprint/2961

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