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|Title:||Mapping earthworm communities in Europe|
|Authors:||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|
|Citation:||APPLIED SOIL ECOLOGY vol. 97 p. 98-111|
|Publisher:||ELSEVIER SCIENCE BV|
|Type:||Articles in periodicals and books|
|Abstract:||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.|
|JRC Directorate:||Sustainable Resources|
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