Mapping earthworm communities in Europe
Existing data sets on earthworm communities in Europe were collected, harmonized,
modelled and depicted on a soil biodiversity map of Europe. 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 constructing earthworm maps
with abundance, species richness, and diversity data. While a good number of environmental
predictors were significant in our multiple regressions, geographical factors alone seem to be less
relevant than climatic factors. Despite differing sampling protocols, land use and geological history
were the most relevant factors determining the demography and diversity of the earthworms across
Europe. 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.
RUTGERS Michiel;
ORGIAZZI Alberto;
GARDI Ciro;
RÖMBKE J;
JÄNSCH Stephan;
KEITH Aidan;
NEILSON Roy;
BOAG Brian;
SCHMIDT Olaf;
MURCHIE Archie;
BLACKSHAW Rod;
PERES Guenola;
CLUZEAU Daniel;
GUERNION Muriel;
BRIONES María;
RODEIRO Javier;
PIÑEIRO Raúl;
DÍAZ COSÍN Darío;
SOUSA Paulo;
SUHADOLC Marjetka;
KOS Ivan;
KROGH Paul Henning;
FABER Jack;
MULDERS Christian;
BOGTE Jaap;
VAN WIJNEN Harm;
SCHOUTEN Anton;
DE ZWART Dick;
2015-12-09
ELSEVIER SCIENCE BV
JRC95920
0929-1393,
http://www.sciencedirect.com/science/article/pii/S0929139315300688,
https://publications.jrc.ec.europa.eu/repository/handle/JRC95920,
10.1016/j.apsoil.2015.08.015,
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