Seal element of the university of freiburg in the shape of a clover

Research

Bergmischwald im Münstertal, Südschwarzwald

‘Economic decisions in forestry under uncertainty and risk’ is the subject of our scientific work in research, teaching and training. We understand ‘economic decisions in forestry under uncertainty and risk’ in a comprehensive sense, which also includes aspects such as ‘deep’ (e.g. climate change-related) uncertainty. We generally use process-based models as the starting point for our economic analyses and, when we apply optimisation solutions, we go methodologically beyond classical optimisation methods in the direction of ‘robust’ decisions. We also use social science methods to analyse how decision-makers and interest groups deal with uncertainty, risk and complexity. Interdisciplinary teamwork therefore plays a central role in our research. In addition, the professorship focuses on knowledge transfer and capacity building in relation to climate change and forests and works closely with national and international cooperation partners from academia and industry.

Research fields

About us

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Teaching

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Team

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Research projects and activities

Research projects since 2014

Current dissertations

completed dissertations

Latest publications

  • Merlin, M.; Locatelli, T.; Gardiner, B.; Astrup, R. (2025). Large-scale modelling wind damage vulnerability through combination of high-resolution forest resources maps and ForestGALES. Forest Ecosystems,Volume 14,2025,100361,ISSN 2197-5620. https://doi.org/10.1016/j.fecs.2025.
  • Buckwitz, S.; Djahangard, M.; Yousefpour, R. (2025). “Assessing the recreational value and preferences in the city forest of Freiburg, Germany.” Urban Forestry & Urban Greening, 107, 128804. DOI: https://doi.org/10.1016/j.ufug.2025.128804.
  • Fischer, R.; Anders, T.; Bugmann, H.; Djahangard, M.; Dreßler, G.; Hetzer, J.; Hickler, T.; Hiltner, U.; Marano, G.; Sperlich, D.; Yousefpour, R.; Knapp N (2025) Perspectives for forest modeling to improve the representation of drought-related tree mortality. J Cultiv Plants 77:50–69. https://doi.org/10.5073/JfK.2025.02.05
  • Lorenz, R., Becker, N., Gardiner, B., Ulbrich, U., Hanewinkel, M., Schmitz, B. (2025). Tree Fall along Railway Lines: Modeling the Impact of Wind and Other Meteorological Factors. NHESS https://doi.org/10.5194/nhess-25-2179-2025.
  • Reinhold, S.; Koch, O.; Schweiger, A.; Detten, R.v. (2025) The license to fail – Steps towards an adaptive paradigm for forest management in times of unprecedented uncertainty.
    Forest Ecology and Management Volume 585, 1 June 2025; https:// doi.org/10.1016/j.foreco.2025.122653