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Ressources forestières
Cioldi, F., Brändli, U. B., Didion, M., Fischer, C., Ginzler, C., Herold, A., … Thürig, E. (2020). Ressources forestières. In U. B. Brändli, M. Abegg, & B. Allgaier Leuch (Eds.), Inventaire forestier national suisse. Résultats du quatrième inventaire 2009-2017 (pp. 35-119). Birmensdorf; Berne: Institut fédéral de recherches sur la forêt, la neige et le paysage WSL; Office fédéral de l'environnement OFEV.
Waldressourcen
Cioldi, F., Brändli, U. B., Didion, M., Fischer, C., Ginzler, C., Herold, A., … Thürig, E. (2020). Waldressourcen. In U. B. Brändli, M. Abegg, & B. Allgaier Leuch (Eds.), Schweizerisches Landesforstinventar. Ergebnisse der vierten Erhebung 2009-2017 (pp. 35-119). Birmensdorf; Bern: Eidgenössische Forschungsanstalt für Wald, Schnee und Landschaft WSL; Bundesamt für Umwelt BAFU.
Holzproduktion
Fischer, C., Rohner, B., Herold, A., Allgaier Leuch, B., Temperli, C., Frutig, F., … Rösler, E. (2020). Holzproduktion. In U. B. Brändli, M. Abegg, & B. Allgaier Leuch (Eds.), Schweizerisches Landesforstinventar. Ergebnisse der vierten Erhebung 2009-2017 (pp. 147-187). Birmensdorf; Bern: Eidgenössische Forschungsanstalt für Wald, Schnee und Landschaft WSL; Bundesamt für Umwelt BAFU.
Production de bois
Fischer, C., Rohner, B., Herold, A., Allgaier Leuch, B., Temperli, C., Frutig, F., … Rösler, E. (2020). Production de bois. In U. B. Brändli, M. Abegg, & B. Allgaier Leuch (Eds.), Inventaire forestier national suisse. Résultats du quatrième inventaire 2009-2017 (pp. 147-187). Birmensdorf; Berne: Institut fédéral de recherches sur la forêt, la neige et le paysage WSL; Office fédéral de l'environnement OFEV.
Trade-offs between ecosystem service provision and the predisposition to disturbances: a NFI-based scenario analysis
Temperli, C., Blattert, C., Stadelmann, G., Brändli, U. B., & Thürig, E. (2020). Trade-offs between ecosystem service provision and the predisposition to disturbances: a NFI-based scenario analysis. Forest Ecosystems, 7, 27 (17 pp.). https://doi.org/10.1186/s40663-020-00236-1
Assessing the response of forest productivity to climate extremes in Switzerland using model-data fusion
Trotsiuk, V., Hartig, F., Cailleret, M., Babst, F., Forrester, D. I., Baltensweiler, A., … Schaub, M. (2020). Assessing the response of forest productivity to climate extremes in Switzerland using model-data fusion. Global Change Biology, 26(4), 2463-2476. https://doi.org/10.1111/gcb.15011
Whole tree biomass and carbon stock
Didion, M., Herold, A., & Thürig, E. (2019). Whole tree biomass and carbon stock. In C. Fischer & B. Traub (Eds.), Managing forest ecosystems: Vol. 35. Swiss National Forest Inventory – Methods and models of the fourth assessment (pp. 243-248). https://doi.org/10.1007/978-3-030-19293-8_14
State and change of forest resources
Herold, A., Zell, J., Rohner, B., Didion, M., Thürig, E., & Rösler, E. (2019). State and change of forest resources. In C. Fischer & B. Traub (Eds.), Managing forest ecosystems: Vol. 35. Swiss National Forest Inventory – Methods and models of the fourth assessment (pp. 205-230). https://doi.org/10.1007/978-3-030-19293-8_12
Forest development model MASSIMO
Stadelmann, G., Temperli, C., Rohner, B., Didion, M., Herold, A., Rösler, E., & Thürig, E. (2019). Forest development model MASSIMO. In C. Fischer & B. Traub (Eds.), Managing forest ecosystems: Vol. 35. Swiss National Forest Inventory – Methods and models of the fourth assessment (pp. 265-278). https://doi.org/10.1007/978-3-030-19293-8_17
Presenting MASSIMO: a management scenario simulation model to project growth, harvests and carbon dynamics of Swiss forests
Stadelmann, G., Temperli, C., Rohner, B., Didion, M., Herold, A., Rösler, E., & Thürig, E. (2019). Presenting MASSIMO: a management scenario simulation model to project growth, harvests and carbon dynamics of Swiss forests. Forests, 10(2), 94 (18 pp.). https://doi.org/10.3390/f10020094
Scenario simulations
Stadelmann, G., Didion, M., & Thürig, E. (2019). Scenario simulations. In C. Fischer & B. Traub (Eds.), Managing forest ecosystems: Vol. 35. Swiss National Forest Inventory – Methods and models of the fourth assessment (pp. 285-296). https://doi.org/10.1007/978-3-030-19293-8_19
Harmonised projections of future forest resources in Europe
Vauhkonen, J., Berger, A., Gschwantner, T., Schadauer, K., Lejeune, P., Perin, J., … Packalen, T. (2019). Harmonised projections of future forest resources in Europe. Annals of Forest Science, 76(3), 79 (12 pp.). https://doi.org/10.1007/s13595-019-0863-6
Modeling ingrowth for empirical forest prediction systems
Zell, J., Rohner, B., Thürig, E., & Stadelmann, G. (2019). Modeling ingrowth for empirical forest prediction systems. Forest Ecology and Management, 433, 771-779. https://doi.org/10.1016/j.foreco.2018.11.052
Complementarity of gymnosperms and angiosperms along an altitudinal temperature gradient
Caspersen, J. P., Thürig, E., Rigling, A., & Zimmermann, N. E. (2018). Complementarity of gymnosperms and angiosperms along an altitudinal temperature gradient. Oikos, 127(12), 1787-1799. https://doi.org/10.1111/oik.05360
Multiple factors modulate tree growth complementarity in Central European mixed forests
Mina, M., Huber, M. O., Forrester, D. I., Thürig, E., & Rohner, B. (2018). Multiple factors modulate tree growth complementarity in Central European mixed forests. Journal of Ecology, 106, 1106-1119. https://doi.org/10.1111/1365-2745.12846
The symmetry of competitive interactions in mixed Norway spruce, silver fir and European beech forests
Mina, M., del Río, M., Huber, M. O., Thürig, E., & Rohner, B. (2018). The symmetry of competitive interactions in mixed Norway spruce, silver fir and European beech forests. Journal of Vegetation Science, 29(4), 775-787. https://doi.org/10.1111/jvs.12664
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
Species-specific, pan-European diameter increment models based on data of 2.3 million trees
Schelhaas, M. J., Hengeveld, G. M., Heidema, N., Thürig, E., Rohner, B., Vacchiano, G., … Nabuurs, G. J. (2018). Species-specific, pan-European diameter increment models based on data of 2.3 million trees. Forest Ecosystems, 5(1), 21 (19 pp.). https://doi.org/10.1186/s40663-018-0133-3
Switzerland
Fischer, C., Camin, P., Kaufmann, E., & Thürig, E. (2017). Switzerland. In S. Barreiro, M. J. Schelhaas, R. E. McRoberts, & G. Kändler (Eds.), Managing forest ecosystems: Vol. 29. Forest inventory-based projection systems for wood and biomass availability (pp. 303-313). https://doi.org/10.1007/978-3-319-56201-8_26
Tree biomass in the Swiss landscape: nationwide modelling for improved accounting for forest and non-forest trees
Price, B., Gomez, A., Mathys, L., Gardi, O., Schellenberger, A., Ginzler, C., & Thürig, E. (2017). Tree biomass in the Swiss landscape: nationwide modelling for improved accounting for forest and non-forest trees. Environmental Monitoring and Assessment, 189(3), 106 (14 pp.). https://doi.org/10.1007/s10661-017-5816-7