Senckenberg Research

edaphobase_logo GBIF Database on Soil Zoology logo gbif
Information System for Taxonomy, Literature and Ecology
 
     
lumbricidae enchytraeidae Anatonchus_tridentatus oppiella nova neojordensia_levis collembola Chilopoda_Cryptops parisi ommatoiulus sabulosus (L.,1758) Trachelipus_ratzeburgi
                 
                 
– Statistical Models –
       
Background
       
       
The biodiversity of soils is comparable to that of tropical rain forests and coral reefs. Diverse organism communities are organized in very complex food webs. Soil composition and formation are considered to be dependent on the existence and activities of this diverse community of soil organisms. They influence functions such as soil fertility or climate regulation and deliver a substantial contribution to the ecosystem services of soil. Despite this high value, the structural and functional diversity of soil organisms has been hitherto insufficiently protected.
       
The edaphobase information system is being expanded into an assessment instrument for soil-biodiversity data in Germany and - as such - is interconnected with national-biodiversity initiatives and institutions. On the global scale, edaphobase is a pilot project for assessing the effects of different stressors on soil biodiversity.
       
       
       
Goals
       
       
The goal of this subproject is to develop models analyzing the site-specific composition of soil organism communities and processes based on the environmental factors occurring in complex soil ecosystems. Effect hypotheses of these models are being developed and statistically tested with the help of multivariate analyseis and pattern recognition techniques. Based on these methods, tools will be developed that identify the autecological preferences of individual species and formulate hypotheses on reference states and prognoses of soil communities under specific environmental conditions. Autecological preferences will be identified by examining the data basis for each species and then calculating ecological optima and tolerances for specific habitat parameters. The results of these calculations will be used for further analyses (e.g. modelling). In close cooperation with the project partners, predictions will be developed that can be used for data analysis and developing typologies of study sites for soil biodiversity monitoring. This allows the assessment of different influences such as land use or climate change on the soil community. Thereby the requirements of the German National Biodiversity Strategy will be put into practice and linked to soil function.
       
       
       
Realisation
       
       
This subproject is being carried out by the Institute for Environmental Biology and Chemodynamics of the RWTH Aachen University, lead by
Dr. Martina Roß-Nickoll and Dr. Richard Ottermanns
and managed by
Dr. Björn Scholz-Starke and Dipl. Gyml. Jonas Hausen.
       
       
       
       
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