Dr. Daniel Trappmann


Dr. Daniel Trappmann
Institut de Géologie
Université de Berne
Baltzerstrasse 1-3
3012 Berne (Suisse)

daniel [dot] trappmann [at]


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

Diplôme d'ingénieur, spécialité évaluation des risques de montagne (BOKU Vienne).


Post-Doc depuis décembre 2011.

  • Dendrogéomorphologie
  • Chutes de pierres et analyse des risques associés
  • Rôle protecteur des forêts
Responsabilités Enseignant au "cours-bloc" de dendrogéomorphologie.
  • Analyse des risques de chutes de pierres
  • Reconstitution des fréquences de chutes de pierres et de leur distribution spatiale
Hobbies Alpinisme, ski hors pistes, escalade, musique

Publications :


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]

Travail de Master

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 p.