A global database of soil nematode abundance and functional group composition
2020
van den Hoogen, Johan | Geisen, Stefan | Wall, Diana H. | Wardle, David A. | Traunspurger, Walter | de Goede, Ron G.M. | Adams, Byron J. | Ahmad, Wasim | Ferris, Howard | Bardgett, Richard D. | Bonkowski, Michael | Campos-Herrera, Raquel | Cares, Juvenil E. | Caruso, Tancredi | de Brito Caixeta, Larissa | Chen, Xiaoyun | Costa, Sofia R. | Creamer, Rachel | da Cunha e Castro, José Mauro | Dam, Marie | Djigal, Djibril | Escuer, Miguel | Griffiths, Bryan S. | Gutiérrez, Carmen | Hohberg, Karin | Kalinkina, Daria | Kardol, Paul | Kergunteuil, Alan | Korthals, Gerard | Krashevska, Valentyna | Kudrin, Alexey A. | Li, Qi | Liang, Wenju | Magilton, Matthew | Marais, Mariette | Martín, José Antonio Rodríguez | Matveeva, Elizaveta | Mayad, El Hassan | Mzough, E. | Mulder, Christian | Mullin, Peter | Neilson, Roy | Nguyen, Duong T.A. | Nielsen, Uffe N. | Okada, Hiroaki | Rius, Juan Emilio Palomares | Pan, Kaiwen | Peneva, Vlada | Pellissier, Loïc | da Silva, Julio Carlos Pereira | Pitteloud, Camille | Powers, Thomas O. | Powers, Kirsten | Quist, Casper W. | Rasmann, Sergio | Moreno, Sara Sánchez | Scheu, Stefan | Setälä, Heikki | Sushchuk, Anna | Tiunov, Alexei V. | Trap, Jean | Vestergård, Mette | Villenave, Cecile | Waeyenberge, Lieven | Wilschut, Rutger A. | Wright, Daniel G. | Keith, Aidan M. | Yang, Jiuein | Schmidt, Olaf | Bouharroud, R. | Ferji, Z. | van der Putten, Wim H. | Routh, Devin | Crowther, Thomas W.
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.
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