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 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; 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

doi:10.1038/s41597-020-0437-3

A global database of soil nematode abundance and functional group composition

Johan van den Hoogen (Lead / Corresponding author), Stefan Geisen (Lead / Corresponding author), 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 (Lead / Corresponding author)

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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
DOIs	https://doi.org/10.1038/s41597-020-0437-3
Publication status	Published - 26 Mar 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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Final Published VersionFinal published version, 11.7 MBLicence: CC BY

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

@article{5817631b67e54d69bf9c202b22dcf2c2,

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.",

author = "{van den Hoogen}, Johan and Stefan Geisen and Wall, {Diana H.} and Wardle, {David A.} and Walter Traunspurger and {de Goede}, {Ron G. M.} 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 {de Brito Caixeta}, Larissa and Xiaoyun Chen and Costa, {Sofia R.} and Rachel Creamer and {da Cunha E Castro}, {Jos{\'e} Mauro} 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 Mart{\'i}n, {Jos{\'e} Antonio Rodr{\'i}guez} 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 Rius, {Juan Emilio Palomares} and Kaiwen Pan and Vlada Peneva and Lo{\"i}c Pellissier and {da Silva}, {Julio Carlos Pereira} and Camille Pitteloud and Powers, {Thomas O.} and Kirsten Powers and Quist, {Casper W.} and Sergio Rasmann and Moreno, {Sara S{\'a}nchez} 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 {van der Putten}, {Wim H.} and Devin Routh and Crowther, {Thomas W.}",

note = "We are thankful to Walter S. Andriuzzi and Louise E. Jackson for help in the initial phases of this study and for providing data. This research was supported by a grant from DOB Ecology to T.W.C., a grant from the Netherlands Organization for Scientific Research (grant 016.Veni.181.078) to S.G., grants from NSF (OPP 1115245, 1341736, 0840979) to B.J.A., by a Ramon y Cajal fellow award (RYC-2016-19939) to R.C.H., a grant from UNEP & Global Environment Facility to J.E.C., grants from NERC{\textquoteright}s Soil Security Programme to R.D.B. (NE/M017028/1) T.C. (NE/M017036/1), a grant from FAPEMIG/FAPESP/VALE S.A.(CRA-RDP-00136-10) to L.B.C., through the strategic programme UID/BIA/04050/2013 (POCI-01-0145-FEDER-007569) awarded to S.R.C., a grant from CNPq PROTAX (562346/2010-4) to J.M.d.C.C., a grant from DFG (CRC990) to V.K. and S.S., a grant from the MSHE of Russia (AAAA-A17-117112850234-5) to A.A.K., grants from the Chinese Academy of Sciences (XDB15010402) and the National Natural Science Foundation of China (41877047) to Q.L., grants from the National Natural Science Foundation of China (31330011, 31170484) to W.L., grants from NERC (NE/M017036/1) to M.M., grants from the Spanish Ministry of Innovation (CGL2009-14686-C02-01/02, CGL2013-43675-P) to J.A.R.M., grant from the Spanish Ministry of Innovation (RYC-2016-19939) to R.C.H., grants from NSF (DEB-0450537, DEB-1145440) to P.M., T.O.P. and K. Powers, grants from the German Academic Exchange Service (PKZ 91540366) and NAFOSTED (106.05–2017.330) to T.A.D.N., by an ARC Discovery project (DP150104199) to U.N.N., by the National Key Research and Development Program of China (2016YFC0502101) and the National Natural Science Foundation of China (31370632) to K. Pan, a ERC Research Council Advanced grant (ERC-Adv 323020 SPECIALS) to W.H.v.d.P, a grant from the Natural Environment Research Council (NERC) to D.G.W., a grant from BAPHIQ (106AS-9.5.1-BQ-B3) to J.-i.Y., a grant from the Russian Foundation for Basic Research (18-29-05076) to A.V.T. The James Hutton Institute receives financial support from the Scottish Government Rural and Environment Science and Analytical Services (RESAS) division. Investigations in Northwest Russia were carried out under state order for IB KarRC RAS and are partially supported by the Russian Foundation for Basic Research (18-34-00849).",

year = "2020",

month = mar,

day = "26",

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

language = "English",

volume = "7",

journal = "Scientific Data",

issn = "2052-4436",

publisher = "Nature Research",

}

van den Hoogen, J, Geisen, S, Wall, DH, Wardle, DA, Traunspurger, W, de Goede, RGM, Adams, BJ, Ahmad, W, Ferris, H, Bardgett, RD, Bonkowski, M, Campos-Herrera, R, Cares, JE, Caruso, T, de Brito Caixeta, L, Chen, X, Costa, SR, Creamer, R, da Cunha E Castro, JM, 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, Martín, JAR, Matveeva, E, Mayad, EH, Mzough, E, Mulder, C, Mullin, P, Neilson, R, Nguyen, TAD, Nielsen, UN, Okada, H, Rius, JEP, Pan, K, Peneva, V, Pellissier, L, da Silva, JCP, Pitteloud, C, Powers, TO, Powers, K, Quist, CW, Rasmann, S, Moreno, SS, Scheu, S, Setälä, H, Sushchuk, A, Tiunov, AV, Trap, J, Vestergård, M, Villenave, C, Waeyenberge, L, Wilschut, RA, Wright, DG, Keith, AM, Yang, J-I, Schmidt, O, Bouharroud, R, Ferji, Z, van der Putten, WH, Routh, D & Crowther, TW 2020, 'A global database of soil nematode abundance and functional group composition', Scientific Data, vol. 7, 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 - van den Hoogen, Johan

AU - Geisen, Stefan

AU - Wall, Diana H.

AU - Wardle, David A.

AU - Traunspurger, Walter

AU - de Goede, Ron G. M.

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 - de Brito Caixeta, Larissa

AU - Chen, Xiaoyun

AU - Costa, Sofia R.

AU - Creamer, Rachel

AU - da Cunha E Castro, José Mauro

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 - Martín, José Antonio Rodríguez

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 - Rius, Juan Emilio Palomares

AU - Pan, Kaiwen

AU - Peneva, Vlada

AU - Pellissier, Loïc

AU - da Silva, Julio Carlos Pereira

AU - Pitteloud, Camille

AU - Powers, Thomas O.

AU - Powers, Kirsten

AU - Quist, Casper W.

AU - Rasmann, Sergio

AU - Moreno, Sara Sánchez

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 - van der Putten, Wim H.

AU - Routh, Devin

AU - Crowther, Thomas W.

N1 - We are thankful to Walter S. Andriuzzi and Louise E. Jackson for help in the initial phases of this study and for providing data. This research was supported by a grant from DOB Ecology to T.W.C., a grant from the Netherlands Organization for Scientific Research (grant 016.Veni.181.078) to S.G., grants from NSF (OPP 1115245, 1341736, 0840979) to B.J.A., by a Ramon y Cajal fellow award (RYC-2016-19939) to R.C.H., a grant from UNEP & Global Environment Facility to J.E.C., grants from NERC’s Soil Security Programme to R.D.B. (NE/M017028/1) T.C. (NE/M017036/1), a grant from FAPEMIG/FAPESP/VALE S.A.(CRA-RDP-00136-10) to L.B.C., through the strategic programme UID/BIA/04050/2013 (POCI-01-0145-FEDER-007569) awarded to S.R.C., a grant from CNPq PROTAX (562346/2010-4) to J.M.d.C.C., a grant from DFG (CRC990) to V.K. and S.S., a grant from the MSHE of Russia (AAAA-A17-117112850234-5) to A.A.K., grants from the Chinese Academy of Sciences (XDB15010402) and the National Natural Science Foundation of China (41877047) to Q.L., grants from the National Natural Science Foundation of China (31330011, 31170484) to W.L., grants from NERC (NE/M017036/1) to M.M., grants from the Spanish Ministry of Innovation (CGL2009-14686-C02-01/02, CGL2013-43675-P) to J.A.R.M., grant from the Spanish Ministry of Innovation (RYC-2016-19939) to R.C.H., grants from NSF (DEB-0450537, DEB-1145440) to P.M., T.O.P. and K. Powers, grants from the German Academic Exchange Service (PKZ 91540366) and NAFOSTED (106.05–2017.330) to T.A.D.N., by an ARC Discovery project (DP150104199) to U.N.N., by the National Key Research and Development Program of China (2016YFC0502101) and the National Natural Science Foundation of China (31370632) to K. Pan, a ERC Research Council Advanced grant (ERC-Adv 323020 SPECIALS) to W.H.v.d.P, a grant from the Natural Environment Research Council (NERC) to D.G.W., a grant from BAPHIQ (106AS-9.5.1-BQ-B3) to J.-i.Y., a grant from the Russian Foundation for Basic Research (18-29-05076) to A.V.T. The James Hutton Institute receives financial support from the Scottish Government Rural and Environment Science and Analytical Services (RESAS) division. Investigations in Northwest Russia were carried out under state order for IB KarRC RAS and are partially supported by the Russian Foundation for Basic Research (18-34-00849).

PY - 2020/3/26

Y1 - 2020/3/26

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.

UR - http://www.scopus.com/inward/record.url?scp=85082561474&partnerID=8YFLogxK

U2 - 10.1038/s41597-020-0437-3

DO - 10.1038/s41597-020-0437-3

M3 - Article

C2 - 32218461

SN - 2052-4436

VL - 7

JO - Scientific Data

JF - Scientific Data

M1 - 103

ER -

A global database of soil nematode abundance and functional group composition

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