Paul Henning Krogh

Mapping earthworm communities in Europe

Publication: ResearchConference abstract for conference

  • Michiel Rutgers
    Michiel Rutgers
  • Alberto Orgiazzi
    Alberto Orgiazzi
  • Ciro Gardi
    Ciro Gardi
  • Jörg Römbke
    Jörg Römbke
  • Stephan Jänsch
    Stephan Jänsch
  • Aidan M. Keith
    Aidan M. Keith
  • Roy Neilson
    Roy Neilson
  • Brian Boag
    Brian Boag
  • Olaf Schmidt
    Olaf Schmidt
  • Archie K. Murchie
    Archie K. Murchie
  • Rod P. Blackshaw
    Rod P. Blackshaw
  • Guénola Pérès
    Guénola Pérès
  • Daniel Cluzeau
    Daniel Cluzeau
  • Muriel Guernion
    Muriel Guernion
  • Maria J. I. Briones
    Maria J. I. Briones
  • Javier Rodeiro
    Javier Rodeiro
  • Raúl Piñeiro
    Raúl Piñeiro
  • Darío J. Díaz Cosín
    Darío J. Díaz Cosín
  • J. Paulo Sousa
    J. Paulo Sousa
  • Marjetka Suhadolc
    Marjetka Suhadolc
  • Ivan Kos
    Ivan Kos
  • Paul Henning Krogh
  • Jack H. Faber
    Jack H. Faber
  • Christian Mulder
    Christian Mulder
  • Jaap J. Bogte
    Jaap J. Bogte
  • Harm J. van Wijnen
    Harm J. van Wijnen
  • Anton J. Schouten
    Anton J. Schouten
  • Dick de Zwart
    Dick de Zwart
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.
Original languageEnglish
Publication year23 Aug 2015
Number of pages1
StatePublished - 23 Aug 2015
Event - Wageningen, Netherlands

Conference

ConferenceWageningen soil conference
LocationWageningen University
CountryNetherlands
CityWageningen
Period24/08/201527/08/2015

    Keywords

  • Digital Soil Mapping Earthworm community EcoFINDERS Soil Atlas Soil biodiversity

See relations at Aarhus University Citationformats

ID: 90907566