Marcoecology meeting 2019 organized jointly with Remote Sensers

Marcoecology meeting 2019 organized jointly with Remote Sensers

October 10, 2018

Staff of the Department of Remote Sensing are co-organizing the next Macroecology 2019 meeting as well as giving keynotes, namely Martin Wegmann and Hannes Taubenboeck, respectively. We are very happy to see remote sensing becoming an important topic in ecological research and that these two community increasingly collaborate especially within the University of Würzburg.

The Macroecology 2019 meeting will be the 13th annual meeting of the specialist group Macroecology of the Ecological Society of Germany, Austria, and Switzerland (GfÖ). The Specialist Group on Macroecology of the GfÖ is one of the leading scientific platforms for macroecological topics in central Europe. With the topic ‚Bridging local patterns and global challenges‘, we invite contributions ranging from ‘small data’ to questions of global relevance for biodiversity research. Hence, Macroecology 2019 aims to foster the dialogue between empiricists dealing with local patterns, bioinformaticians, data scientists, theoreticians and modellers from central Europe and beyond, promoting scientific exchange and progress.

The Macroecology 2019 will be held at the Biocenter  of the University of Würzburg, which is located in the Hubland campus. The historical city of Würzburg is located at the Romantic route of Bavaria, offering an attractive scenario for scientific exchange. In the registration day, participants will have the opportunity to attend a public opening keynote at the Toskana seminar room of the Residence Palace (an UNESCO heritage site), followed by an icebreaker at the wine cellar of the Staatlicher Hofkeller, also at the Residence Palace.

read more here: https://www.biozentrum.uni-wuerzburg.de/cctb/research/ecosystem-modeling/events/macroecology-2019/

follow us and share it on:

you may also like:

Würzburger Förderpreis awarded to our URBAN:Pulse project

Würzburger Förderpreis awarded to our URBAN:Pulse project

“A remote sensing scientist, a social geographer, an informatics researcher, a sports researcher, a psychologist, a linguist and an economist meet ... what sounds like the start of a joke, was the start of a great interdisciplinary research project.” That’s how Hannes...

Annual Meeting of the NetCDA consortium

Annual Meeting of the NetCDA consortium

On November 3-4, 2026, the NetCDA II (European Academic Network for Capacity Development in Climate Change Adaptions in Africa) project network of 12 German academic partners met at the EORC for their annual meeting. We welcomed our new German research institutions on...

Mainpost reported on Stefan Dech’s Bavarian State Medal

Mainpost reported on Stefan Dech’s Bavarian State Medal

We’re happy to see that Mainpost, our local newspaper, also reported on the Bavarian State Medal for Outstanding Services to the Environment. Stefan Dech received it on October 21 at the Munich Residenz, and Environment Minister Thorsten Glauber gave the laudatory...

UrbanPulse in the Mainpost, and invitation to the festivities

UrbanPulse in the Mainpost, and invitation to the festivities

If you open the printed Mainpost today, keep an eye out for the Universitätsbund Würzburg’s invitation to the Festkonzert. Among the topics on the page, there’s one we’re rather proud of: our newly funded project URBAN:Pulse, which will be officially celebrated at the...

Field work for MONID-HABITRACK project

Field work for MONID-HABITRACK project

Today our researchers from the department working on the MONID-HABITRACK project, that is funded by the BMFTR, went to the field to acquire LiDAR, thermal and multispectral data with their drones. Within our department the project is located at the Chair of Remote...

bzgl. Art. 50 Verordnung (EU) 2024/1689 (AI Act):

Überwiegend werden eigene originäre Texte und Bilder des EORC genutzt, jedoch sind einige Inhalte von blog post Texten teilweise mit Hilfe von KI überarbeitet worden und einige Bilder sind ganz mit KI erstellt, die jedoch deutlich keine photorealistische Darstellungen abbilden. Aussnahmen sind KI generierte fernerkundliche Datensätze, die explizit für Forschungszwecke mit KI erstellt wurden, hier wird aber durch den assoziierten Text der wissenschaftliche Grund der KI generierten Bilder erläutert.

Share This