A global database of soil nematode abundance and functional group composition

Johan van den Hoogen, Stefan Geisen, Diana H. Wall, David A. Wardle, Walter Traunspurger, Ron G.M. de Goede, Byron J. Adams, Wasim Ahmad, Howard Ferris, Richard D. Bardgett, Michael Bonkowski, Raquel Campos-Herrera, Juvenil E. Cares, Tancredi Caruso, Larissa de Brito Caixeta, Xiaoyun Chen, Sofia R. Costa, Rachel Creamer, José Mauro da Cunha e Castro, Marie DamDjibril Djigal, Miguel Escuer, Bryan S. Griffiths, Carmen Gutiérrez, Karin Hohberg, Daria Kalinkina, Paul Kardol, Alan Kergunteuil, Gerard Korthals, Valentyna Krashevska, Alexey A. Kudrin, Qi Li, Wenju Liang, Matthew Magilton, Mariette Marais, José Antonio Rodríguez Martín, Elizaveta Matveeva, El Hassan Mayad, E. Mzough, Christian Mulder, Peter Mullin, Roy Neilson, T. A.Duong Nguyen, Uffe N. Nielsen, Hiroaki Okada, Juan Emilio Palomares Rius, Kaiwen Pan, Vlada Peneva, Loïc Pellissier, Julio Carlos Pereira da Silva, Camille Pitteloud, Thomas O. Powers, Kirsten Powers, Casper W. Quist, Sergio Rasmann, Sara Sánchez Moreno, Stefan Scheu, Heikki Setälä, Anna Sushchuk, Alexei V. Tiunov, Jean Trap, Mette Vestergård, Cecile Villenave, Lieven Waeyenberge, Rutger A. Wilschut, Daniel G. Wright, Aidan M. Keith, Jiue in Yang, Olaf Schmidt, R. Bouharroud, Z. Ferji, Wim H. van der Putten, Devin Routh, Thomas W. Crowther

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

As the most abundant animals on earth, nematodes are a dominant component of the soil community. They play critical roles in regulating biogeochemical cycles and vegetation dynamics within and across landscapes and are an indicator of soil biological activity. Here, we present a comprehensive global dataset of soil nematode abundance and functional group composition. This dataset includes 6,825 georeferenced soil samples from all continents and biomes. For geospatial mapping purposes these samples are aggregated into 1,933 unique 1-km pixels, each of which is linked to 73 global environmental covariate data layers. Altogether, this dataset can help to gain insight into the spatial distribution patterns of soil nematode abundance and community composition, and the environmental drivers shaping these patterns.

Original languageEnglish (US)
Article number103
JournalScientific Data
Volume7
Issue number1
DOIs
StatePublished - Dec 1 2020

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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