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Recent research projects

ESMERALDA – Enhancing ecoSysteM sERvices mApping for poLicy and Decision mAking)

Bild zum Projekt ESMERALDA – Enhancing ecoSysteM sERvices mApping for poLicy and Decision mAking)

Supervisor:

Benjamin Burkhard (project coordinator)

Researcher:

Sabine Bicking, Ina Sieber, Bastian Steinhoff-Knopp

Duration:

02.2015 - 07.2018

Funded by:

EU Horizon 2020

Brief description:

Mapping and assessment of ecosystems and their services (ES) are core to the EU Biodiversity (BD) Strategy. ESMERALDA aims to deliver a flexible methodology to provide the building blocks for pan-European and regional assessments. The work will ensure the timely delivery to EU member states in relation to Action 5 of the BD Strategy, supporting the needs of assessments in relation to the requirements for planning, agriculture, climate, water and nature policy.

 

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Feasibility study on the integration of status information of forest ecosystems and their ecosystem services (matrix approach)

Bild zum Projekt Machbarkeitsstudie zur Verknüpfung von Zustandsinformationen zu Waldökosystemen und deren Bereitstellung von Ökosystemleistungen (Matrixansatz)

Supervisor:

Winfried Schröder (Universität Vechta)

Researcher:

Claudia Dworczyk, Benjamin Burkhard

Duration:

08.2016 - 06.2017

Funded by:

German Umweltbundesamt (UBA

Brief description:

This study uses an integrative approach to assess the status information and development of forest ecosystems in all of Germany. Based on these results, the nationwide status and functions of forest ecosystems are evaluated along with the changes over space and time. These evaluations are used to analyze the correlations ecosystem conditions and ecosystem services.

 

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ÖSKKIP – Ecosystem services (ES) of urban areas – mapping, communicating and integrating ES in planning policies to protect biodiversity in face of climate change

Bild zum Projekt ÖSKKIP - Ökosystemleistungen von Stadtregionen -Kartieren, Kommunizieren und Integrieren in die Planung zum Schutz der biologischen Vielfalt im Klimawandel

Supervisor:

Sonja Deppisch (Hafen Universität Hamburg)

Researcher:

Claudia Dworczyk, Benjamin Burkhard

Duration:

03.2017 - 03.2021

Funded by:

BMBF/BMU/BfN research project to implement the German National Strategy on Biological Diversity

Brief description:

ÖSKKIP assesses the integration capacity of the concept of ecosystem services in urban and regional planning policies. Furthermore, the protection of biodiversity in urban areas should be intensified, especially due to the changing conditions in the face of climate change.

 

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Long-term soil erosion monitoring in Lower Saxony, Germany

Bild zum Projekt Bodenerosionsdauerbeobachtung Niedersachsen

Supervisor:

Bastian Steinhoff-Knopp

Duration:

since 2000

Funded by:

Landesamt für Bergbau, Energie und Geologie Niedersachsen (LBEG)

Brief description:

This long-term project is monitoring the extent and frequency of soil erosion through water in an area of 450 hectares since the year 2000. The aim is to obtain long-term empirically secured data on soil erosion due to water under different site and cultivation conditions.

 

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Soil erosion monitoring in Baden-Wurttemberg

 

Supervisor:

Bastian Steinhoff-Knopp

Duration:

since 2011

Funded by:

Landesanstalt für Umwelt, Messungen und Naturschutz Baden-Württemberg (LUBW)

Brief description:

This project is monitoring the extent and frequency of soil erosion through water in an area of about 200 hectares since the year 2011. The aim is to obtain long-term empirically secured data on soil erosion due to water under different site and cultivation conditions.

 

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Identifying regions with a risk of heavy rain events in Hesse for planning disaster prevention procedures at a state and municipal level

 

Supervisor:

Gerald Kuhnt

Researcher:

Jennifer Peußner

Duration:

10.2015 - 09.2019

Funded by:

Hessian Agency for Nature Conservation, Environment and Geology (HLNUG)

Brief description:

The goal of this project is to develop a procedure for automated analysis of radar-meteorological data (RADOLAN) to detect heavy rain events. Regions with a high risk for heavy rain falls will be identified in Hesse based on these results.

 

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