RT Journal Article
T1 Mapping earthworm communities in Europe
A1 Rutgers, Michiel
A1 Orgiazzi, Alberto
A1 Gardi, Ciro
A1 Römbke, Jörg
A1 Jänsch, Stephan
A1 Keih, Adrian M.
A1 Neilson, Roy
A1 Boag, Brian
A1 Schmidt, Olaf
A1 Murchie, Archie K.
A1 Blackshaw, Rod P.
A1 Pérès, Guénola
A1 Cluzeau, Daniel
A1 Guernion, Muriel
A1 Briones, Maria J. I.
A1 Rodeiro, Javier
A1 Piñeiro, Raúl
A1 Díaz Cosín, Darío J.
A1 Sousa, J.Paulo
A1 Suhadolc, Marjetka
A1 Kos, Ivan
A1 Krogh, Paul-Henning
A1 Faber, Jack H. F
A1 Mulder, Christian
A1 Bogte, Jaap J.
A1 Van Wijnen, Harm J.
A1 Schouten, Anton J.
A1 De Zwart, Dick
AB Existing data sets on earthworm communities in Europe were collected, harmonized, collated, modelled and depicted on a soil biodiversity map. Digital Soil Mapping was applied using multiple regressions relating relatively low density earthworm community data to soil characteristics, land use, vegetation and climate factors (covariables) with a greater spatial resolution. Statistically significant relationships were used to build habitat–response models for maps depicting earthworm abundance and species diversity. While a good number of environmental predictors were significant in multiple regressions, geographical factors alone seem to be less relevant than climatic factors. Despite differing sampling protocols across the investigated European countries, land use and geological history were the most relevant factors determining the demography and diversity of the earthworms. Case studies from country-specific data sets (France, Germany, Ireland and The Netherlands) demonstrated the importance and efficiency of large databases for the detection of large spatial patterns that could be subsequently applied at smaller (local) scales.
PB Elsevier
SN 0929-1393
YR 2016
FD 2016-01
LK https://hdl.handle.net/20.500.14352/23492
UL https://hdl.handle.net/20.500.14352/23492
LA eng
NO Unión Europea. FP7
NO Dutch National Institute for Public Health and the Environment (RIVM) (The Netherlands)
DS Docta Complutense
RD 4 may 2024