Christian Mulder, Michiel Rutgers, J.J. Bogte, Muriel Guernion, Ivan Kos, Briand Boag, Olaf Schmidt, Raúl Piñeiro, Maria J. I. Briones, Marjetka Suhadolc, Paul-Henning Krogh, Aidan M. Keith, Daniel Cluzeau, A.J. Schouten, J. Paulo Sousa, Rod P. Blackshaw, Darío J. Díaz Cosín, Roy Neilson, Stephan Jänsch, Guénola Pérès, Harm J. van Wijnen, Dick de Zwart, Archie K. Murchie, Jack H. Faber, Alberto Orgiazzi, Ciro Gardi, Jörg Römbke, Javier Rodeiro, National Institute for Public Health and the Environment [Bilthoven] (RIVM), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), University of Parma = Università degli studi di Parma [Parme, Italie], ECT, Centre for Ecology and Hydrology [Bangor] (CEH), Natural Environment Research Council (NERC), The James Hutton Institute, University College Dublin [Dublin] (UCD), Agri Food and Biosciences Institute, Blackshaw Research & Consultancy, Sol Agro et hydrosystème Spatialisation (SAS), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA), Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Station Biologique de Paimpont CNRS UMR 6653 (OSUR), Université de Rennes 1 (UR1), University of Vigo [ Pontevedra], Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), University of Coimbra [Portugal] (UC), Center for Soil and Environmental Science, University of Ljubljana, Soil Fauna and Ecotoxicology Research Unit , Department of Terrestrial Ecology, National Environmental Research Institute, Alterra Wageningen University & Research Centre (ALTERRA), Wageningen University and Research [Wageningen] (WUR), RIVM projects QESAP (S/607022) and BEO (M/607406), European Project: 264465,EC:FP7:ENV,FP7-ENV-2010,ECOFINDERS(2011), University of Parma, Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), Universidad Complutense de Madrid [Madrid] (UCM), Wageningen University and Research Centre [Wageningen] (WUR), Università degli studi di Parma = University of Parma (UNIPR), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
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. After the first set of maps, additional datasets were used to improve the regressions and maps and to extent the area depicting earthworm predictions (e.g. Portugal, Italy, England, Finland, Austria and some countries from Eastern Europe). The improved maps will be submitted for publication in the Global Soil Biodiversity Atlas.