Books and Papers
A review of the influence of marine habitat classification schemes on mapping studies: inherent assumptions, influence on end products, and suggestions for future developments
2018
ICES Journal of Marine Science, 76 (1). 10-22
Integrating benthic habitat indicators: Working towards an ecosystem approach
2018
Marine Policy, 90, 88-94
Presentations
Mapping of Biotopes in the German EEZ of the North Sea Status report May 2016
Mai 2016
Meeting of the Working Group on Marine Habitat Mapping, Winchester, UK
Short introduction to HELCOM Underwater Biotope and Habitat classification system (HUB)
Mai 2016
Meeting of the Working Group on Marine Habitat Mapping, Winchester, UK
Predictive Modelling of Red List biotopes as a basis for marine nature conservation in the North Sea
April 2016
34th Annual Conference for the Working Group ´Geography of Seas and Coasts’ (AMK), Leibniz Institute for Baltic Sea Research, Warnemünde
Biotope modelling in German offshore waters (EEZ of Baltic and North Sea) at different spatial scales
November 2015
Workshop on marine biotope mapping for conservation purposes" 30th Nov until 2nd Dec 2015 on the Isle of Vilm, Germany
Predictive Mapping of Benthic Communities and Species in the German North Sea
September 2015
ASC 2015 - ICES Annual Science Conference, Kopenhagen, Dänemark
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...
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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...
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Bachelor & Master Theses
Analyse benthischer Lebensgemeinschaften und ihrer räumlichen Muster im Elbe- Urstromtal der Nordsee mittels maschineller Lernverfahren
2025/10
Cooperation
Helmholtz-Zentrum für Polar- und Meeresforschung
Application of Geographic Information Systems to Analyse Landscape-Ecological Effects of Virtual Fencing in Grassland Ecosystems
2025/9
Cooperation
SLU - Sveriges Lantbruksuniversitet
Ensemble Machine Learning Ansätze zur Prädiktion benthischer Arten in der Ostsee
2025/9
Cooperation
Helmholtz-Zentrum für Polar- und Meeresforschung
Kartierung von Schilfbeständen (Phragmites australis) in der Ostsee mithilfe von Fernerkundung im Rahmen des internationalen Meeresnaturschutzes
2025/8
GIS-basierte Analyse der Entwicklung von Flächenversiegelung auf Grundlage des ATKIS Basis-DLM am Beispiel des Landkreises Diepholz
2025/8
Cooperation
Katasteramt Sulingen
