Marleen Pallandt, MSc.



  • terrestrial C & water cycle
  • process-based terrestrial biosphere models
  • remote sensing of vegetation
About me

My background is a mix of vegetation ecology (, GIS & remote sensing (MSc. degree) and terrestrial biosphere modelling. Before joining the institute, I gained experience with ecophysiology and modelling the terrestrial carbon & water cycle by working with a global dynamic vegetation model (LPJ-GUESS) at Wageningen University for several years.

PhD project

Within the TBM research group, the QUINCY model (Thum et al., 2019) was developed. QUINCY is a new general terrestrial biosphere model which addresses the multiway interactions of carbon, nitrogen, phosphorus and water cycles on a global scale. Its brand new soil model (JSM, Yu et al., 2020) is a vertically explicit, mechanistic microbial decomposition model. My PhD project focusses on modelling the interactions between the water cycle and soil organic matter decomposition. Within the framework of the MOCABORS project, a large part of my work will be aimed at modelling moisture dynamics and carbon sequestration in boreal soils.

Selected Publications:

  • Pallandt, M., Schrumpf, M., Lange, H., Reichstein, M., Yu, L., and Ahrens, B.: Drought counteracts soil warming more strongly in the subsoil than in the topsoil according to a vertical microbial SOC model, EGUsphere [preprint],, 2024.
  • Pallandt, M., Ahrens, B., Koirala, S., Lange, H. Reichstein, M., Schrumpf, M., Zaehle, S. (2022). Vertically divergent responses of SOC decomposition to soil moisture in a changing climate. JGR: Biogeosciences 127,
  • Thum, T., Caldararu, S., Engel, J., Kern, M., Pallandt, M., Schnur, R., Yu, L., and Zaehle, S. (2019). A new terrestrial biosphere model with coupled carbon, nitrogen, and phosphorus cycles (QUINCY v1.0; revision 1996). Geosc. Mod. Dev. 12,
  • Vermeulen, M., Kruijt, B., Hickler, T., Kabat, P., 2015. Modelling short-term variability in carbon and water exchange in a temperate Scots pine forest. Earth Syst. Dynam., 6,
  • Mücher, C.A., Kooistra, L., Vermeulen, M., Vanden Borre, J., Haest, B., Haveman, R., 2013. Quantifying structure of Natura 2000 heathland habitats using spectral mixture analysis and segmentation techniques on hyperspectral imagery. Ecological Indicators 33,


  • Since January 2024: Researcher at Stockholm University (HoliSoils project)
  • Since April 2018: PhD candidate at MPI BGC Jena
  • June 2022 - Feb 2023: Maternity & parental leave
  • Oct 2017 - March 2018: Guest researcher at MPI-BGC Jena
  • Jan 2017 - Sept 2017: GIS information specialist at Provincie Utrecht (government)
  • 2010 - 2015: Researcher at Wageningen university, dpt. Earth System Science & Climate Change
  • 2010: MSc. GIS & remote sensing, Wageningen University. Thesis title: "Possibilities of hyperspectral remote sensing for monitoring the structure and functioning of habitat types in a heathland ecosystem"
  • 2008: BSc. Biology, Wageningen University. Specialization in vegetation ecology
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