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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). Bern, Stuttgart, Wien: Haupt.
Les scolytes et la sensibilité de l&#039;épicéa aux infestations dans le contexte des changements climatiques
Jakoby, O., Stadelmann, G., Lischke, H., & Wermelinger, B. (2016). Les scolytes et la sensibilité de l'épicéa aux infestations dans le contexte des changements climatiques. In A. R. Pluess, S. Augustin, P. Brang, Office fédéral de l’environnement OFEV,Berne, & Institut fédéral de recherches sur la forêt (Eds.), Forêts et changements climatiques. Éléments pour des stratégies d'adaptation (pp. 251-269). Berne, Stuttgart, Vienne: Haupt.
Borkenkäfer im Klimawandel - Modellierung des künftigen Befallsrisikos durch den Buchdrucker (Ips typographus)
Jakoby, O., Wermelinger, B., Stadelmann, G., & Lischke, H. (2015). Borkenkäfer im Klimawandel - Modellierung des künftigen Befallsrisikos durch den Buchdrucker (Ips typographus). Birmensdorf: Eidg. Forschungsanstalt WSL.
Climate change impacts on tree species, forest properties, and ecosystem services
Bugmann, H., Brang, P., Elkin, C., Henne, P., Jakoby, O., Lévesque, M., … Zimmermann, N. E. (2014). Climate change impacts on tree species, forest properties, and ecosystem services. In C. C. Raible & K. M. Strassmann (Eds.), CH2014-Impacts. Toward quantitative scenarios of climate change impacts in Switzerland (pp. 79-89). Retrieved from http://ch2014-impacts.ch/
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
Demography as the basis for understanding and predicting range dynamics
Normand, S., Zimmermann, N. E., Schurr, F. M., & Lischke, H. (2014). Demography as the basis for understanding and predicting range dynamics. Ecography, 37(12), 1149-1154. https://doi.org/10.1111/ecog.01490
Application of a computationally efficient method to approximate gap model results with a probabilistic approach
Scherstjanoi, M., Kaplan, J. O., & Lischke, H. (2014). Application of a computationally efficient method to approximate gap model results with a probabilistic approach. Geoscientific Model Development, 7(4), 1543-1571. https://doi.org/10.5194/gmd-7-1543-2014
Challenges in developing a computationally efficient plant physiological height-class-structured forest model
Scherstjanoi, M., Kaplan, J. O., Poulter, B., & Lischke, H. (2014). Challenges in developing a computationally efficient plant physiological height-class-structured forest model. Ecological Complexity, 19, 96-110. https://doi.org/10.1016/j.ecocom.2014.05.009
Terrestrial and Inland Water Systems
Settele, J., Scholes, R., Betts, R. A., Bunn, S., Leadley, P., Nepstad, D., … Winter, M. (2014). Terrestrial and Inland Water Systems. In C. B. Field, V. R. Barros, D. J. Dokken, K. J. Mach, M. D. Mastrandrea, T. E. Bilir, … A. N. Levy (Eds.), Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Working Group II Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 271-359). Cambridge: Cambridge University Press.
Using dynamic vegetation models to simulate plant range shifts
Snell, R. S., Huth, A., Nabel, J. E. M. S., Bocedi, G., Travis, J. M. J., Gravel, D., … Lischke, H. (2014). Using dynamic vegetation models to simulate plant range shifts. Ecography, 37(12), 1184-1197. https://doi.org/10.1111/ecog.00580
Experience from downscaling IPCC-SRES scenarios to specific national-level focus scenarios for ecosystem service management
Walz, A., Braendle, J. M., Lang, D. J., Brand, F., Briner, S., Elkin, C., … Schmatz, D. R. (2014). Experience from downscaling IPCC-SRES scenarios to specific national-level focus scenarios for ecosystem service management. Technological Forecasting and Social Change, 86, 21-32. https://doi.org/10.1016/j.techfore.2013.08.014