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. 2024 Jan 3;11(1):22.
doi: 10.1038/s41597-023-02784-x.

Global fine-resolution data on springtail abundance and community structure

Anton M Potapov  1   2   3 Ting-Wen Chen  4 Anastasia V Striuchkova  5 Juha M Alatalo  6 Douglas Alexandre  7 Javier Arbea  8 Thomas Ashton  9 Frank Ashwood  9 Anatoly B Babenko  10 Ipsa Bandyopadhyaya  11 Carolina Riviera Duarte Maluche Baretta  12 Dilmar Baretta  12 Andrew D Barnes  13 Bruno C Bellini  14 Mohamed Bendjaballah  15 Matty P Berg  16   17 Verónica Bernava  18 Stef Bokhorst  19 Anna I Bokova  5 Thomas Bolger  20   21 Mathieu Bouchard  22 Roniere A Brito  23 Damayanti Buchori  24 Gabriela Castaño-Meneses  25 Matthieu Chauvat  26 Mathilde Chomel  27 Yasuko Chow  28 Steven L Chown  29 Aimee T Classen  30   31 Jérôme Cortet  32 Peter Čuchta  33 Ana Manuela de la Pedrosa  34 Estevam C A De Lima  35 Louis E Deharveng  36 Enrique Doblas Miranda  37   38 Jochen Drescher  4 Nico Eisenhauer  39   40 Jacintha Ellers  41 Olga Ferlian  39   40 Susana S D Ferreira  41 Aila S Ferreira  35 Cristina Fiera  42 Juliane Filser  43 Oscar Franken  16   17   44 Saori Fujii  45 Essivi Gagnon Koudji  46   47 Meixiang Gao  48   49 Benoit Gendreau-Berthiaume  46   47   50 Charles Gers  51 Michelle Greve  52 Salah Hamra-Kroua  15 I Tanya Handa  46   47 Motohiro Hasegawa  53 Charlène Heiniger  54 Takuo Hishi  55 Martin Holmstrup  56 Pablo Homet  57 Toke T Høye  56 Mari Ivask  58   59 Bob Jacques  60 Charlene Janion-Scheepers  61   62 Malte Jochum  39   40   63 Sophie Joimel  64 Bruna Claudia S Jorge  65 Edite Juceviča  66 Esther M Kapinga  67 Ľubomír Kováč  68 Eveline J Krab  69   70 Paul Henning Krogh  56 Annely Kuu  59 Natalya Kuznetsova  5 Weng Ngai Lam  28 Dunmei Lin  71 Zoë Lindo  72 Amy W P Liu  73 Jing-Zhong Lu  4 María José Luciáñez  74 Michael T Marx  75 Amanda Mawan  4 Matthew A McCary  76 Maria A Minor  77 Grace I Mitchell  13 David Moreno  78   79 Taizo Nakamori  80 Ilaria Negri  81 Uffe N Nielsen  82 Raúl Ochoa-Hueso  83 Luís Carlos I Oliveira Filho  7 José G Palacios-Vargas  84 Melanie M Pollierer  4 Jean-François Ponge  85 Mikhail B Potapov  5 Pascal Querner  86   87 Bibishan Rai  13 Natália Raschmanová  68 Muhammad Imtiaz Rashid  88 Laura J Raymond-Léonard  46   47 Aline S Reis  89 Giles M Ross  82 Laurent Rousseau  46   47 David J Russell  90 Ruslan A Saifutdinov  10 Sandrine Salmon  85 Mathieu Santonja  91 Anna K Saraeva  92 Emma J Sayer  93   94 Nicole Scheunemann  90 Cornelia Scholz  95 Julia Seeber  96   97 Peter Shaw  98 Yulia B Shveenkova  99 Eleanor M Slade  28 Sophya Stebaeva  100 Maria Sterzynska  101 Xin Sun  102   103 Winda Ika Susanti  4 Anastasia A Taskaeva  104 Li Si Tay  105 Madhav P Thakur  106 Anne M Treasure  107 Maria Tsiafouli  108 Mthokozisi N Twala  52 Alexei V Uvarov  10 Lisa A Venier  109 Lina A Widenfalk  110   111 Rahayu Widyastuti  112 Bruna Winck  113 Daniel Winkler  114 Donghui Wu  115   116   117 Zhijing Xie  118 Rui Yin  119 Robson A Zampaulo  89 Douglas Zeppelini  120 Bing Zhang  121 Abdelmalek Zoughailech  15 Oliver Ashford  122 Osmar Klauberg-Filho  7 Stefan Scheu  4
Affiliations

Global fine-resolution data on springtail abundance and community structure

Anton M Potapov et al. Sci Data. .

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.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Data collection and evaluation in #GlobalCollembola. Most of the data are raw data collected from archives of the contributing authors of the paper. The data were collected using an Excel template and included in the final database after technical and expert cleaning of each dataset. No data were excluded, instead, expert evaluation is provided for each dataset. Whenever possible, we recorded species occurrences in individual samples (soil cores).
Fig. 2
Fig. 2
Database structure of #GlobalCollembola. Database consists of three main spreadsheets: (1) Events, (2) Occurrences, and (3) Taxonomy. The spreadsheets can be linked, summarised, and filtered using the associated R script to produce site-level averages.
Fig. 3
Fig. 3
Global distribution of the sampling points and habitat types represented in the database. Density of samples per pixel in a global 100 × 100 coordinate grid are shown with grayscale (light – few samples, dark – many samples). Number of collected samples in each habitat type are shown with a doughnut chart; habitat classification follows the European Environmental Agency.
Fig. 4
Fig. 4
Temporal coverage of the database. Frequency histograms show the number of samples collected in different years (a) and months (b), and the number of sites where samples were collected in multiple years (c) in a certain time range (d).
Fig. 5
Fig. 5
Collection methods and identification precision represented in the database. Number of collected samples with different methods and the number of samples where springtails were identified to a certain taxonomic resolution level are shown with doughnut charts.

References

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