Short course on dynamic vegetation modelling

Preliminary dates: 3 - 5 August, 2022

Registration dates:
TBA, by our application system (will be opened for applications in due time). Two documents must be submitted:
- Letter of motivation
- CV

Location: online

Coordinating university: 
Goethe University & Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany

SPACES project: EMSAfrica

Course coordinator:
Carola Martens

Course lead:
Simon Scheiter, Carola Martens, Thomas Hickler

Course description & primary learning objectives:
Dynamic vegetation models are an important tool to investigate how climate change and land use may influence future vegetation dynamics. This course will provide theoretical background on biogeochemical fluxes, large scale vegetation dynamics and climate change. Equipped with this knowledge, course participants will learn how to conceptualize a vegetation model and how processes are integrated in complex vegetation models. Finally, a specific vegetation model (the aDGVM) will be introduced. In hands-on sessions, participants will learn how to use the model and apply the model to specific research questions focussing on climate change and land use.

Learning methods:

  • lectures on theoretical background on biogeochemical fluxes, large scale vegetation dynamics and climate change
  • group work on how to conceptualise a dynamic vegetation model
  • hands-on session with a dynamic vegetation model and land-use sub-modules
  • work on small modelling project and presentation of results

Expected learning outcomes:

  • understanding of important climate-vegetation interactions, biogeography, and biogeochemical cycles
  • basic understanding of structure and functioning of dynamic vegetation models;
  • understanding of potential impacts of climate change, fire, and land-use on vegetation;
  • first experience with applying a dynamic vegetation model in a specific case study

Target group:
Students, PhD students and postdocs interested in savanna and tropical ecology

Additional Information:
Stable internet connections will be necessary. Further information on computational requirements will be made available in due time.