Daniel Trappmann


Dr. Daniel Trappmann
Institut of Geological Sciences
University of Berne
Baltzerstrasse 1-3
3012 Berne (Switzerland)

daniel [dot] trappmann [at]


PhD thesis in Dendrogeomorphology (2015): “Rockfall in forests – advanced approaches for hazard assessment based on stem surface and tree-ring analysis” (UniBE).

Master of Mountain Risk Engineering (BOKU Vienna)


Postdoc since March 2011

Fields of Excellence
  • Dendrogeomorphology
  • Rockfall
  • Hazard assessment of rockfall processes
  • Protective forest
Responsable for Teaching assisstent block course in dendrogeomorphology
  • Hazard assessment on rockfall slopes
  • Reconstruction of frequency and spatial distribution of rockfall processes
Hobbies Mountaineering, ski touring, climbing, music

Publications :

Peer-reviewed papers

Trappmann, D., Stoffel, M., (in press): Visual dating of rockfall scars in Larix decidua (Mill.) trees. Geomorphology.

Morel, P., Trappmann, D., Corona, C., Stoffel, M. (2015): Defining sample size and sampling strategy for dendrogeomorphic rockfall reconstructions. Geomorphology 236, 79–89. [PDF]

Trappmann, D., Stoffel, M., Corona, C., (2014): Achieving a more realistic assessment of rockfall hazards by coupling three-dimensional, process based models and field-based tree-ring data. Earth Surface Processes and Landforms 39, 1866–1875. [PDF]

Corona, C., Trappmann, D., Stoffel, M. (2013): Parameterization of rockfall source areas and magnitudes with ecological recorders – when disturbances in trees serve the calibration and validation of simulation runs. Geomorphology 202: 33–42. [PDF]

Trappmann, D., Corona, C., Stoffel, M. (2013): Rolling stones and tree rings: a state of research on dendrogeomorphic reconstructions of rockfall. Progress in Physical Geography 37(5), 701–716. [PDF]

Trappmann, D., Stoffel, M. (2012): Counting scars on tree stems to assess rockfall hazards: A low effort approach, but how reliable? Geomorphology 180–181:180–186. [PDF]

Master thesis

Trappmann, D., 2011. Dendrogeomorphologic assessment of rockfall frequencies based on tree ring- and injury count data. University of Natural Resources and Life Sciences, Vienna. 122 S.