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Modeling the effect of rockfall on forest development in a dynamic forest landscape model
Moos, C., & Lischke, H. (2022). Modeling the effect of rockfall on forest development in a dynamic forest landscape model. Ecosphere, 13(1), e3909 (13 pp.). https://doi.org/10.1002/ecs2.3909
Linking functional traits and demography to model species-rich communities
Chalmandrier, L., Hartig, F., Laughlin, D. C., Lischke, H., Pichler, M., Stouffer, D. B., & Pellissier, L. (2021). Linking functional traits and demography to model species-rich communities. Nature Communications, 12, 2724 (9 pp.). https://doi.org/10.1038/s41467-021-22630-1
Tackling unresolved questions in forest ecology: the past and future role of simulation models
Maréchaux, I., Langerwisch, F., Huth, A., Bugmann, H., Morin, X., Reyer, C. P. O., … Bohn, F. J. (2021). Tackling unresolved questions in forest ecology: the past and future role of simulation models. Ecology and Evolution, 11(9), 3746-3770. https://doi.org/10.1002/ece3.7391
A quantitative assessment of rockfall influence on forest structure in the Swiss Alps
Moos, C., Khelidj, N., Guisan, A., Lischke, H., & Randin, C. F. (2021). A quantitative assessment of rockfall influence on forest structure in the Swiss Alps. European Journal of Forest Research, 140, 91-104. https://doi.org/10.1007/s10342-020-01317-0
Climate change impacts the protective effect of forests: a case study in Switzerland
Moos, C., Guisan, A., Randin, C. F., & Lischke, H. (2021). Climate change impacts the protective effect of forests: a case study in Switzerland. Frontiers in Forests and Global Change, 4, 682923 (15 pp.). https://doi.org/10.3389/ffgc.2021.682923
Scaling methods in ecological modelling
Fritsch, M., Lischke, H., & Meyer, K. M. (2020). Scaling methods in ecological modelling. Methods in Ecology and Evolution, 11(11), 1368-1378. https://doi.org/10.1111/2041-210X.13466
Simulation der Baumartenmigration im Klimawandel
Lischke, H. (2020). Simulation der Baumartenmigration im Klimawandel. Schweizerische Zeitschrift für Forstwesen, 171(3), 151-157. https://doi.org/10.3188/szf.2020.0151
How robust are future projections of forest landscape dynamics? Insights from a systematic comparison of four forest landscape models
Petter, G., Mairota, P., Albrich, K., Bebi, P., Brůna, J., Bugmann, H., … Lischke, H. (2020). How robust are future projections of forest landscape dynamics? Insights from a systematic comparison of four forest landscape models. Environmental Modelling and Software, 134, 104844 (13 pp.). https://doi.org/10.1016/j.envsoft.2020.104844
Competition and demography rather than dispersal limitation slow down upward shifts of trees' upper elevation limits in the Alps
Scherrer, D., Vitasse, Y., Guisan, A., Wohlgemuth, T., & Lischke, H. (2020). Competition and demography rather than dispersal limitation slow down upward shifts of trees' upper elevation limits in the Alps. Journal of Ecology, 108(6), 2416-2430. https://doi.org/10.1111/1365-2745.13451
FORests and HYdrology under Climate Change in Switzerland v1.0: a spatially distributed model combining hydrology and forest dynamics
Speich, M. J. R., Zappa, M., Scherstjanoi, M., & Lischke, H. (2020). FORests and HYdrology under Climate Change in Switzerland v1.0: a spatially distributed model combining hydrology and forest dynamics. Geoscientific Model Development, 13(2), 537-564. https://doi.org/10.5194/gmd-13-537-2020
Climate change alters elevational phenology patterns of the European spruce bark beetle (<em>Ips typographus</em>)
Jakoby, O., Lischke, H., & Wermelinger, B. (2019). Climate change alters elevational phenology patterns of the European spruce bark beetle (Ips typographus). Global Change Biology, 25(12), 4048-4063. https://doi.org/10.1111/gcb.14766
LPJ-GM 1.0: simulating migration efficiently in a dynamic vegetation model
Lehsten, V., Mischurow, M., Lindström, E., Lehsten, D., & Lischke, H. (2019). LPJ-GM 1.0: simulating migration efficiently in a dynamic vegetation model. Geoscientific Model Development, 12(3), 893-908. https://doi.org/10.5194/gmd-12-893-2019
Biotic interactions in species distribution modelling: 10 questions to guide interpretation and avoid false conclusions
Dormann, C. F., Bobrowski, M., Dehling, D. M., Harris, D. J., Hartig, F., Lischke, H., … Kraan, C. (2018). Biotic interactions in species distribution modelling: 10 questions to guide interpretation and avoid false conclusions. Global Ecology and Biogeography, 27, 1004-1016. https://doi.org/10.1111/geb.12759
Predicting individual-tree growth of central European tree species as a function of site, stand, management, nutrient, and climate effects
Rohner, B., Waldner, P., Lischke, H., Ferretti, M., & Thürig, E. (2018). Predicting individual-tree growth of central European tree species as a function of site, stand, management, nutrient, and climate effects. European Journal of Forest Research, 137, 29-44. https://doi.org/10.1007/s10342-017-1087-7
Sensitivity of forest water balance and physiological drought predictions to soil and vegetation parameters – A model-based study
Speich, M. J. R., Zappa, M., & Lischke, H. (2018). Sensitivity of forest water balance and physiological drought predictions to soil and vegetation parameters – A model-based study. Environmental Modelling and Software, 102, 213-232. https://doi.org/10.1016/j.envsoft.2018.01.016
Testing an optimality-based model of rooting zone water storage capacity in temperate forests
Speich, M. J. R., Lischke, H., & Zappa, M. (2018). Testing an optimality-based model of rooting zone water storage capacity in temperate forests. Hydrology and Earth System Sciences, 22(7), 4097-4124. https://doi.org/10.5194/hess-22-4097-2018
Modeling forest landscapes in a changing climate: theory and application
He, H. S., Gustafson, E. J., & Lischke, H. (2017). Modeling forest landscapes in a changing climate: theory and application. Landscape Ecology, 32(7), 1299-1305. https://doi.org/10.1007/s10980-017-0529-4
Finding all multiple stable fixpoints of <I>n</I>-species Lotka–Volterra competition models
Lischke, H., & Löffler, T. J. (2017). Finding all multiple stable fixpoints of n-species Lotka–Volterra competition models. Theoretical Population Biology, 115, 24-34. https://doi.org/10.1016/j.tpb.2017.02.001
The past and future of modeling forest dynamics: from growth and yield curves to forest landscape models
Shifley, S. R., He, H. S., Lischke, H., Wang, W. J., Jin, W., Gustafson, E. J., … Yang, J. (2017). The past and future of modeling forest dynamics: from growth and yield curves to forest landscape models. Landscape Ecology, 32(7), 1307-1325. https://doi.org/10.1007/s10980-017-0540-9
Borkenkäfer und Befallsdisposition der Fichte im Klimawandel
Jakoby, O., Stadelmann, G., Lischke, H., & Wermelinger, B. (2016). Borkenkäfer und Befallsdisposition der Fichte im Klimawandel. In A. R. Pluess, S. Augustin, P. Brang, Bundesamt für Umwelt BAFU,Bern, & Eidgenössische Forschungsanstalt für Wald,Schnee und Landschaft WSL,Birmensdorf (Eds.), Wald im Klimawandel. Grundlagen für Adaptationsstrategien (pp. 247-265). Haupt.
 

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