Effects of earthworms on bulk density: A meta‐analysis
Using meta-analysis, we quantified earthworm effects on bulk density and investigated the influence of driving factors (Lang, B. & Russell, D.J. Eur J Soil Sci. (2020) 71: 80– 83. https://doi.org/10.1111/ejss.12846). We compiled data from 22 articles, yielding 111 data points. In the supplementary data file, we give information on geographical location, climate, soils (soil type, soil texture, organic carbon, pH), experimental details (laboratory or field experiment, natural soil structure or repacked soil, mesocosm and sampling depth, experimental duration, land use, treatment, replication, initial bulk density), organisms (species or higher taxon, earthworm ecological group, mean individual mass, biomass, abundance), and results (bulk density and standard deviation for fauna and control treatments). Research domain: Other Research question: We estimated taxon-specific impacts on bulk density, whether general earthworm effects depended on ecological groups, earthworm body mass, abundance, soil texture, land use or experimental duration. Furthermore, we assessed whether earthworms are able to counteract soil compaction.
Birgit Lang
Role: author
Email: birgit.lang@senckenberg.de
Url:
David J. Russell
Role: projectLeader
Email: david.russell@senckenberg.de
Url:
BonaRes Data Centre
Role: publisher
Position: Research Platform 'Data Analysis & Simulation' - WG Geodata
Phone: +49 33432 82 171
Email: bonares-datenzentrum@zalf.de
Deliverypoint: Eberswalder Strasse 84
City: Müncheberg
Administrativearea: Brandenburg
Postalcode: 15374
Country: Germany
Url:
David J. Russell
Role: author
Email: david.russell@senckenberg.de
Url:
Senckenberg Museum of Natural History Görlitz
Role: contributor
Created: 2020-09-29
Updated: 2020-12-08
Temporal extent:
date
Rights: Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: "Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Centre's research activities." Although every care has been taken in preparing and testing the data, the BonaRes Centre and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Centre and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Centre and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.
Language: eng