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  • (-) Organizational Unit = Forest Resources and Management
  • (-) Publication Year = 2019 - 2019
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Early-warning signals of individual tree mortality based on annual radial growth
Cailleret, M., Dakos, V., Jansen, S., Robert, E. M. R., Aakala, T., Amoroso, M. M., … Martínez-Vilalta, J. (2019). Early-warning signals of individual tree mortality based on annual radial growth. Frontiers in Plant Science, 9, 1964 (14 pp.). https://doi.org/10.3389/fpls.2018.01964
Growth and quality of <i>Fagus sylvatica</i> saplings depend on seed source, site, and browsing intensity
Frank, A., Heiri, C., & Kupferschmid, A. D. (2019). Growth and quality of Fagus sylvatica saplings depend on seed source, site, and browsing intensity. Ecosphere, 10(1), e02580 (19 pp.). https://doi.org/10.1002/ecs2.2580
A single-tree processing framework using terrestrial laser scanning data for detecting forest regeneration
Heinzel, J., & Ginzler, C. (2019). A single-tree processing framework using terrestrial laser scanning data for detecting forest regeneration. Remote Sensing, 11(1), 60 (20 pp.). https://doi.org/10.3390/rs11010060
Arbeitsgruppe Wald und Wildtiere im Engadin
Hipler, V., & Boog, J. (2019). Arbeitsgruppe Wald und Wildtiere im Engadin. Schweizerische Zeitschrift für Forstwesen, 170(1), 57-58.
Maintenance of long-term experiments for unique insights into forest growth dynamics and trends: review and perspectives
Pretzsch, H., del Río, M., Biber, P., Arcangeli, C., Bielak, K., Brang, P., … Sycheva, E. (2019). Maintenance of long-term experiments for unique insights into forest growth dynamics and trends: review and perspectives. European Journal of Forest Research. https://doi.org/10.1007/s10342-018-1151-y
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
How do tree mortality models from combined tree-ring and inventory data affect projections of forest succession?
Vanoni, M., Cailleret, M., Hülsmann, L., Bugmann, H., & Bigler, C. (2019). How do tree mortality models from combined tree-ring and inventory data affect projections of forest succession? Forest Ecology and Management, 433, 606-617. https://doi.org/10.1016/j.foreco.2018.11.042
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