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; Jose Mauro da Cunha e Costa; Marie Dam; Djibril 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; Jose Antonio Rodriguez Martin; 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

doi:10.1038/s41597-020-0437-3

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, Jose Mauro da Cunha e Costa, 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, Jose Antonio Rodriguez Martin, 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

Western Sydney University

Research output: Contribution to journal › Article › peer-review

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 language	English
Article number	103
Number of pages	8
Journal	Scientific Data
Volume	7
Issue number	1
DOIs	https://doi.org/10.1038/s41597-020-0437-3
Publication status	Published - 2020

Open Access - Access Right Statement

Â© The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.

Keywords

databases
nematodes
soils

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10.1038/s41597-020-0437-3

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Hoogen, J. V. D., Geisen, S., Wall, D. H., Wardle, D. A., Traunspurger, W., Goede, R. G. M. D., Adams, B. J., Ahmad, W., Ferris, H., Bardgett, R. D., Bonkowski, M., Campos-Herrera, R., Cares, J. E., Caruso, T., Brito Caixeta, L. D., Chen, X., Costa, S. R., Creamer, R., Cunha e Costa, J. M. D., ... Crowther, T. W. (2020). A global database of soil nematode abundance and functional group composition. Scientific Data, 7(1), Article 103. https://doi.org/10.1038/s41597-020-0437-3

@article{b77c17ed1987403289d080533d278b3e,

title = "A global database of soil nematode abundance and functional group composition",

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.",

keywords = "databases, nematodes, soils",

author = "Hoogen, {Johan van den} and Stefan Geisen and Wall, {Diana H.} and Wardle, {David A.} and Walter Traunspurger and Goede, {Ron G. M. de} and Adams, {Byron J.} and Wasim Ahmad and Howard Ferris and Bardgett, {Richard D.} and Michael Bonkowski and Raquel Campos-Herrera and Cares, {Juvenil E.} and Tancredi Caruso and {Brito Caixeta}, {Larissa de} and Xiaoyun Chen and Costa, {Sofia R.} and Rachel Creamer and {Cunha e Costa}, {Jose Mauro da} and Marie Dam and Djibril Djigal and Miguel Escuer and Griffiths, {Bryan S.} and Carmen Guti{\'e}rrez and Karin Hohberg and Daria Kalinkina and Paul Kardol and Alan Kergunteuil and Gerard Korthals and Valentyna Krashevska and Kudrin, {Alexey A.} and Qi Li and Wenju Liang and Matthew Magilton and Mariette Marais and {Rodriguez Martin}, {Jose Antonio} and Elizaveta Matveeva and Mayad, {El Hassan} and E. Mzough and Christian Mulder and Peter Mullin and Roy Neilson and Nguyen, {T. A. Duong} and Nielsen, {Uffe N.} and Hiroaki Okada and {Palomares Rius}, {Juan Emilio} and Kaiwen Pan and Vlada Peneva and Lo{\"i}c Pellissier and Silva, {Julio Carlos Pereira da} and Camille Pitteloud and Powers, {Thomas O.} and Kirsten Powers and Quist, {Casper W.} and Sergio Rasmann and {S{\'a}nchez Moreno}, Sara and Stefan Scheu and Heikki Set{\"a}l{\"a} and Anna Sushchuk and Tiunov, {Alexei V.} and Jean Trap and Mette Vesterg{\aa}rd and Cecile Villenave and Lieven Waeyenberge and Wilschut, {Rutger A.} and Wright, {Daniel G.} and Keith, {Aidan M.} and Jiue-in Yang and Olaf Schmidt and R. Bouharroud and Z. Ferji and Putten, {Wim H. van der} and Devin Routh and Crowther, {Thomas W.}",

year = "2020",

doi = "10.1038/s41597-020-0437-3",

language = "English",

volume = "7",

journal = "Scientific Data",

issn = "2052-4463",

publisher = "Nature Publishing Group",

number = "1",

}

Hoogen, JVD, Geisen, S, Wall, DH, Wardle, DA, Traunspurger, W, Goede, RGMD, Adams, BJ, Ahmad, W, Ferris, H, Bardgett, RD, Bonkowski, M, Campos-Herrera, R, Cares, JE, Caruso, T, Brito Caixeta, LD, Chen, X, Costa, SR, Creamer, R, Cunha e Costa, JMD, Dam, M, Djigal, D, Escuer, M, Griffiths, BS, Gutiérrez, C, Hohberg, K, Kalinkina, D, Kardol, P, Kergunteuil, A, Korthals, G, Krashevska, V, Kudrin, AA, Li, Q, Liang, W, Magilton, M, Marais, M, Rodriguez Martin, JA, Matveeva, E, Mayad, EH, Mzough, E, Mulder, C, Mullin, P, Neilson, R, Nguyen, TAD, Nielsen, UN, Okada, H, Palomares Rius, JE, Pan, K, Peneva, V, Pellissier, L, Silva, JCPD, Pitteloud, C, Powers, TO, Powers, K, Quist, CW, Rasmann, S, Sánchez Moreno, S, Scheu, S, Setälä, H, Sushchuk, A, Tiunov, AV, Trap, J, Vestergård, M, Villenave, C, Waeyenberge, L, Wilschut, RA, Wright, DG, Keith, AM, Yang, J, Schmidt, O, Bouharroud, R, Ferji, Z, Putten, WHVD, Routh, D & Crowther, TW 2020, 'A global database of soil nematode abundance and functional group composition', Scientific Data, vol. 7, no. 1, 103. https://doi.org/10.1038/s41597-020-0437-3

TY - JOUR

T1 - A global database of soil nematode abundance and functional group composition

AU - Hoogen, Johan van den

AU - Geisen, Stefan

AU - Wall, Diana H.

AU - Wardle, David A.

AU - Traunspurger, Walter

AU - Goede, Ron G. M. de

AU - Adams, Byron J.

AU - Ahmad, Wasim

AU - Ferris, Howard

AU - Bardgett, Richard D.

AU - Bonkowski, Michael

AU - Campos-Herrera, Raquel

AU - Cares, Juvenil E.

AU - Caruso, Tancredi

AU - Brito Caixeta, Larissa de

AU - Chen, Xiaoyun

AU - Costa, Sofia R.

AU - Creamer, Rachel

AU - Cunha e Costa, Jose Mauro da

AU - Dam, Marie

AU - Djigal, Djibril

AU - Escuer, Miguel

AU - Griffiths, Bryan S.

AU - Gutiérrez, Carmen

AU - Hohberg, Karin

AU - Kalinkina, Daria

AU - Kardol, Paul

AU - Kergunteuil, Alan

AU - Korthals, Gerard

AU - Krashevska, Valentyna

AU - Kudrin, Alexey A.

AU - Li, Qi

AU - Liang, Wenju

AU - Magilton, Matthew

AU - Marais, Mariette

AU - Rodriguez Martin, Jose Antonio

AU - Matveeva, Elizaveta

AU - Mayad, El Hassan

AU - Mzough, E.

AU - Mulder, Christian

AU - Mullin, Peter

AU - Neilson, Roy

AU - Nguyen, T. A. Duong

AU - Nielsen, Uffe N.

AU - Okada, Hiroaki

AU - Palomares Rius, Juan Emilio

AU - Pan, Kaiwen

AU - Peneva, Vlada

AU - Pellissier, Loïc

AU - Silva, Julio Carlos Pereira da

AU - Pitteloud, Camille

AU - Powers, Thomas O.

AU - Powers, Kirsten

AU - Quist, Casper W.

AU - Rasmann, Sergio

AU - Sánchez Moreno, Sara

AU - Scheu, Stefan

AU - Setälä, Heikki

AU - Sushchuk, Anna

AU - Tiunov, Alexei V.

AU - Trap, Jean

AU - Vestergård, Mette

AU - Villenave, Cecile

AU - Waeyenberge, Lieven

AU - Wilschut, Rutger A.

AU - Wright, Daniel G.

AU - Keith, Aidan M.

AU - Yang, Jiue-in

AU - Schmidt, Olaf

AU - Bouharroud, R.

AU - Ferji, Z.

AU - Putten, Wim H. van der

AU - Routh, Devin

AU - Crowther, Thomas W.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - databases

KW - nematodes

KW - soils

UR - https://hdl.handle.net/1959.7/uws:56885

U2 - 10.1038/s41597-020-0437-3

DO - 10.1038/s41597-020-0437-3

M3 - Article

SN - 2052-4463

VL - 7

JO - Scientific Data

JF - Scientific Data

IS - 1

M1 - 103

ER -

A global database of soil nematode abundance and functional group composition

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Keywords

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