Faculty of Mathematics and Natural Sciences - Geography Department

Dr. rer. nat. Thilo Wellmann

research interests | project(s) | publications | presentations | teaching
Foto
Name
Dr. rer. nat. Thilo Wellmann
Status
research assistant
Email
thilo.wellmann (at) geo.hu-berlin.de
Homepage
https://www.geographie.hu-berlin.de/de/Members/wellmann_thilo

Institution
Humboldt-Universität → Präsidium → Mathematisch-Naturwissenschaftliche Fakultät → Geographisches Institut → Landschaftsökologie und Biogeographie
Visiting address
Rudower Chaussee 16 , Room 3'215
Phone number
+49 30 2093 6803
Fax
+49 30 2093 6848
Mailing address
Unter den Linden 6, 10099 Berlin

Thilo Wellmann is a Postdoc at the urban ecology lab of Humboldt-Universität zu Berlin. A key area of research is the integration of monitoring techniques to provide an accessible evidence base for urban planning. The aim is to strengthen nature-based solutions (NbS) to become socially equitable tools for climate change adaptation that also support urban biodiversity. Integrating monitoring and multifunctional tools and structures is key in space- and resource-constrained urban environments, especially for NbS - built with living organisms.

To bring these efforts together, he founded the RemoteSensingForCities.org project to develop a science-policy interface for urban remote sensing.

 

Latest Publications:

Wellmann, T., E. Andersson, S. Knapp, A. Lausch, J. Palliwoda, J. Priess, S. Scheuer, and D. Haase. 2023. Reinforcing nature-based solutions through tools providing social-ecological-technological integration. Ambio 52: 489–507. doi:10.1007/s13280-022-01801-4.

 

Długoński, A., T. Wellmann, and D. Haase. 2023. Old-Growth Forests in Urban Nature Reserves: Balancing Risks for Visitors and Biodiversity Protection in Warsaw, Poland. Land 12. doi:10.3390/land12020275.

 

Xie, C., J. Wang, D. Haase, T. Wellmann, and A. Lausch. 2023. Measuring spatio-temporal heterogeneity and interior characteristics of green spaces in urban neighborhoods: A new approach using gray level co-occurrence matrix. Science of The Total Environment 855: 158608. doi:10.1016/j.scitotenv.2022.158608.

 

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