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A spatially-explicit database of tree-related microhabitats in Europe and beyond
Zudin, S., Heintz, W., Kraus, D., Krumm, F., Larrieu, L., & Schuck, A. (2022). A spatially-explicit database of tree-related microhabitats in Europe and beyond. Biodiversity Data Journal, 10, e91385 (14 pp.). https://doi.org/10.3897/BDJ.10.e91385
Borkenkäferdynamik im Klimawandel: die Bedeutung der Landschaftsebene
Temperli, C., & Bugmann, H. (2020). Borkenkäferdynamik im Klimawandel: die Bedeutung der Landschaftsebene. Schweizerische Zeitschrift für Forstwesen, 171(3), 142-150. https://doi.org/10.3188/szf.2020.0142
Extrapolation methods for climate time series revisited - spatial correlations in climatic fluctuations influence simulated tree species abundance and migration
Nabel, J. E. M. S., Kirchner, J. W., Zurbriggen, N., Kienast, F., & Lischke, H. (2014). Extrapolation methods for climate time series revisited - spatial correlations in climatic fluctuations influence simulated tree species abundance and migration. Ecological Complexity, 20, 315-324. https://doi.org/10.1016/j.ecocom.2014.02.006
Future landscapes of Switzerland: risk areas for urbanisation and land abandonment
Price, B., Kienast, F., Seidl, I., Ginzler, C., Verburg, P. H., & Bolliger, J. (2015). Future landscapes of Switzerland: risk areas for urbanisation and land abandonment. Applied Geography, 57, 32-41. https://doi.org/10.1016/j.apgeog.2014.12.009
Linking demand and supply factors in identifying cultural ecosystem services of urban green infrastructures: a review of European studies
Hegetschweiler, K. T., de Vries, S., Arnberger, A., Bell, S., Brennan, M., Siter, N., … Hunziker, M. (2017). Linking demand and supply factors in identifying cultural ecosystem services of urban green infrastructures: a review of European studies. Urban Forestry and Urban Greening, 21, 48-59. https://doi.org/10.1016/j.ufug.2016.11.002
Simulating the spatial and temporal dynamics of landscapes using generic and complex models
Bolliger, J., Lischke, H., & Green, D. G. (2005). Simulating the spatial and temporal dynamics of landscapes using generic and complex models. Ecological Complexity, 2(2), 107-116. https://doi.org/10.1016/j.ecocom.2004.11.005
Simulation of alpine chamois <em>Rupricapra r. rupricapra</em> habitat use
Fankhauser, R., & Enggist, P. (2004). Simulation of alpine chamois Rupricapra r. rupricapra habitat use. Ecological Modelling, 175, 291-302. https://doi.org/10.1016/j.ecolmodel.2003.10.020
TreeMig: a forest-landscape model for simulating spatio-temporal patterns from stand to landscape scale
Lischke, H., Zimmermann, N. E., Bolliger, J., Rickebusch, S., & Löffler, T. J. (2006). TreeMig: a forest-landscape model for simulating spatio-temporal patterns from stand to landscape scale. Ecological Modelling, 199(4), 409-420. https://doi.org/10.1016/j.ecolmodel.2005.11.046
What you see is where you go? Modeling dispersal in mountainous landscapes
Graf, R. F., Kramer-Schadt, S., Fernandez, N., & Grimm, V. (2007). What you see is where you go? Modeling dispersal in mountainous landscapes. Landscape Ecology, 22(6), 853-866. https://doi.org/10.1007/s10980-006-9073-3