REES - Rhine Eco-Evolutionary System - Germany

How do freshwater ecosystems react to changing environmental conditions and to what extent can these changes be captured in the dynamics of eco-evolutionary processes?

The project REES ('Rhine Eco-Evolutionary System') aims at the long-term assessment of eco-evolutionary interactions in the Rhine as a limnic habitat under consideration of diverse associated water bodies. The study area includes the main flow channel of the Rhine (km 845, North Rhine-Westphalia), as well as Rhine oxbows, Rhine water-fed gravel pit lakes in ecological succession and the surrounding floodplain (Rees, district of Kleve). The Ecological Research Station Rees-Grietherbusch of the Institute of Zoology (University of Cologne) and the Nature Conservation Center District Kleve e.V. form the central infrastructure of the study area. In addition, the Ecological Rhine Station of the University under the direction of Prof. Dr. Arndt is also associated to the project, which enables direct sampling and experimental recording of the main Rhine flow channel.

The extensive system of standing and flowing freshwater bodies covered in the REES study site allows the investigation of dynamic variations in biodiversity composition at all levels, from species diversity of communities to genomic diversity at the molecular level of individuals and populations. Along a selected trophic cascade, representative species will be long-term observed and analyzed ecologically and especially also (population-)genomically. The incorporation of ecological genomics is the core aspect of this LTER-D project, which is intended to capture the feedback of evolutionary changes on the ecological system. Population genomic approaches can be used to infer both evolutionary and ecological processes from genomic data. To cope with the dimension of this project, REES is designed as an interdisciplinary collaboration project and currently counts seven project partners with corresponding subordinate projects.

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Metadata Access
Creator Ann-Marie Waldvogel
Publisher Long-Term Ecosystem Research in Europe
Contributor DEIMS-SDR Site and Dataset registry
Publication Year 2022
Rights No conditions apply to access and use; no limitations to public access
OpenAccess true
Contact a.waldvogel(at)
Version 3.2.1
Discipline Environmental Monitoring
Spatial Coverage (6.310W, 51.741S, 6.475E, 51.818N)