B.Sc. und M.Sc. Themen

Wir bieten eine vielfältige Auswahl an Vorschlägen für Abschlussarbeiten. Gerne können auch eigene Ideen und Wünsche für Themen vorgeschlagen werden.

Themenvorschläge

Potential research topics suitable for refinement into BSc or MSc theses, along with the main methodologies required for each project:

  • Effect of climate extremes on vegetation functioning across different ecosystem types (Methods: data analysis)
  • Exploring the link between land-cover change and rainfall patterns (Methods: data analysis)
  • Understanding the link between vegetation phenology and carbon fluxes in peatland ecosystems (Methods: data analysis)
  • Effect of heatwaves and drought on vegetation phenology across different ecosystem types (Methods: data analysis)
  • Effect of more frequent winter warming on the de-coupling of soil and air temperature in snow-dominated forest ecosystems (Methods: data analysis)
  • Estimation of soil heat flux from changes in the soil temperature profile (Methods: data analysis)
  • Linking satellite-based and ground-based automatic phenological observations across different ecosystem types (Methods: data analysis)
  • Understanding tree functioning from sapflow and/or dendrometer measurements across different forest types (Methods: data analysis)
  • Quantification of below-ground carbon storage in peatland ecosystems (Methods: laboratory analysis)
  • Dissolved organic carbon in peatland ecosystems (Methods: data analysis)
  • Soil greenhouse gas measurements with non-steady state chambers across different ecosystem types (Methods: field measurements, data analysis)
  • Urban heat island effect in the city of Münster (Methods: field measurements, data analysis)
  • Analysis of long-term (30-years) continuous weather observations measured in Münster-Osnabrück (Methods: data analysis)
  • Understanding the Irminger sea convection processes (Methods: literature review)
  • Why does the Irminger current has 2 cores? (Methods: data analysis)
  • Understanding the link between the seasonal variability in the Irminger sea and the ocean overturning (Methods: data analysis)