Books and Papers
Correlating concentrations of heavy metals in atmospheric deposition with respective accumulation in moss and natural surface soil for ecological land classes in Norway between 1990 and 2010
2015
Environmental Science and Pollution Research 22(11):8488-8498
Correlating heavy metal deposition and respective concentration in moss and natural surface soil for ecological land classes in Norway (1990-2010)
2015
link to research data and scientific software (Version v1) [Data set]. Zenodo
Multivariate association of regional factors with heavy metal concentrations in moss and natural surface soil sampled across Norway between 1990 and 2010
2015
Journal of Soils and Sediments; 15: 410-422
Predictive Mapping of Benthic Communities and Species for the German North Sea
2015
ICES CM 2015/ N:03
Presentations
Progress in biotope mapping of reef structures in the North Sea and the Baltic Sea
September 2018
5th International Conference Progress in Marine Conservation 2018, - 25 years after Rio - reflections on past development and looking ahead, Stralsund, Germany
Flächendeckende Modellierung des § 30-Biotops „Artenreiche Kies- Grobsand- und Schillgründe“ im Borkum-Riffgrund und Sylter Außenriff
April 2018
BfN-Abteilung Meeresnaturschutz KoordinatorInnentreffen
Projects
Funded by
Europäische Union (EU)
Given the EU Biodiversity Strategy 2030, Protect Baltic aims to evaluate and optimise the existing network of marine protected areas in the Baltic Sea and thus makes a positive contribution to biodiversity and the protection of marine ecosystems. Together with other institutes th...
more
Funded by
Niedersächsisches Vorab
Transformation and structural change in rural areas mean changes in space and time. Such spatiotemporal data is to be managed and processed by our “Geo-Toolbox”. It uses digital technologies such as databases and geographic information systems (GIS) for tasks of the e...
more
Bachelor & Master Theses
Flächenhafte Modellierung der Verbreitung ausgewählter Seevögel in der Ostsee mittels maschineller Lernverfahren
2026/3
Ableitung eines Modells zur flurstücksscharfen Hochrechnung von Hochwasserschäden aus Jahrhunderthochwasser und Extremhochwasser
2026/2
Cooperation
Katasteramt Lingen
Bodenschätzung mit KI - Machbarkeitsstudie zum Einsatz automatisierter Verfahren zur Verbesserung der Bodenschätzung in der Flurbereinigung
2026/2
Cooperation
Regionaldirektion Lüneburg