Title: Mapping earthworm communities in Europe
Authors: RUTGERS MichielORGIAZZI ALBERTOGARDI CiroRÖMBKE JJÄNSCH StephanKEITH AidanNEILSON RoyBOAG BrianSCHMIDT OlafMURCHIE ArchieBLACKSHAW RodPERES GuenolaCLUZEAU DanielGUERNION MurielBRIONES MaríaRODEIRO JavierPIÑEIRO RaúlDÍAZ COSÍN DaríoSOUSA PauloSUHADOLC MarjetkaKOS IvanKROGH Paul HenningFABER JackMULDERS ChristianBOGTE JaapVAN WIJNEN HarmSCHOUTEN AntonDE ZWART Dick
Citation: APPLIED SOIL ECOLOGY vol. 97 p. 98-111
Publisher: ELSEVIER SCIENCE BV
Publication Year: 2016
JRC N°: JRC95920
ISSN: 0929-1393
URI: http://www.sciencedirect.com/science/article/pii/S0929139315300688
http://publications.jrc.ec.europa.eu/repository/handle/JRC95920
DOI: 10.1016/j.apsoil.2015.08.015
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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