Research

We use and develop various modelling approaches to understand interactions between people and nature, especially in the context of forest and mountain landscapes. We are interested in understanding the dynamics of complex social-ecological systems and in developing practical tools that can support stakeholders in sustainable ecosystem management. We use a variety of tools, including empirical spatial models, Bayesian Networks, agent-based models and social-ecological networks to address current challenges, such as forest adaptation to global change, risk reduction, and coexistence.
Research Projects
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Recent Publications
- Stritih, A., Senf, C., Marsoner, T., & Seidl, R. (2024). Mapping the natural disturbance risk to protective forests across the European Alps. Journal of Environmental Management, 366(July), 121659. https://doi.org/10.1016/j.jenvman.2024.121659
- Stritih, A.,Senf, C., Kuemmerle, T., Munteanu, C., Dzadzamia, L., Stritih, J., Matijašić, D., Cortner, O., & Seidl, R. (2024). Same, but different: similar states of forest structure in temperate mountain regions of Europe despite different social-ecological forest disturbance regimes. Landscape Ecology, 39(6), 114. https://doi.org/10.1007/s10980-024-01908-x
- Mayer, P., Grêt-Regamey, A., Ciucci, P., Salliou, N., Stritih, A. 2023. Mapping human- and bear-centered perspectives on coexistence using a participatory Bayesian framework. Journal of Nature Conservation. https://doi.org/10.1016/j.jnc.2023.126387