Recent Additions
Bose, A. K., Moser, B., Rigling, A., Lehmann, M. M., Milcu, A., Peter, M., … Gessler, A. (2020). Memory of environmental conditions across generations affects the acclimation potential of scots pine. Plant, Cell and Environment. https://doi.org/10.1111/pce.13729
Conedera, M., & Giudici, F. (1993). Problemi della fascia castanile al Sud delle Alpi della Svizzera: analisi della situazione e promovimento della ricerca. Arbeitsberichte. Allgemeine Reihe: Vol. 94/1. Zürich: Professur fuer Forstpolitik und Forstoekonomie, Departement fuer Wald- und Holzforschung ETH-Zürich.
Blake, S. A. P., Palmer, J. G., Björklund, J., Harper, J. B., & Turney, C. S. M. (2020). Palaeoclimate potential of New Zealand Manoao colensoi (silver pine) tree rings using Blue-Intensity (BI). Dendrochronologia, 60, 125664 (9 pp.). https://doi.org/10.1016/j.dendro.2020.125664
Björklund, J., Seftigen, K., Fonti, P., Nievergelt, D., & von Arx, G. (2020). Dendroclimatic potential of dendroanatomy in temperature-sensitive Pinus sylvestris. Dendrochronologia, 60, 125673 (9 pp.). https://doi.org/10.1016/j.dendro.2020.125673
Beenken, L., Brodtbeck, T., & De Marchi, R. (2020). First record of Erysiphe corylacearum on Corylus avellana in Switzerland and in central Europe. New Disease Reports, 41, 11. https://doi.org/10.5197/j.2044-0588.2020.041.011
Brožová, N., Fischer, J. T., Bühler, Y., Bartelt, P., & Bebi, P. (2020). Determining forest parameters for avalanche simulation using remote sensing data. Cold Regions Science and Technology, 172, 102976 (11 pp.). https://doi.org/10.1016/j.coldregions.2019.102976
Schweingruber, F. H., Weber, U. M., & Kessel, N. (2019). Anatomy of fruit stalks. Verlag Kessel: Remagen-Oberwinter.
Landolt, M., Stroheker, S., Queloz, V., Gall, A., & Sieber, T. N. (2020). Does water availability influence the abundance of species of the Phialocephala fortinii s.l. – Acephala applanata complex (PAC) in roots of pubescent oak (Quercus pubescens) and Scots pine (Pinus sylvestris)? Fungal Ecology, 44, 100904 (10 pp.). https://doi.org/10.1016/j.funeco.2019.100904
Liao, Z., Zhang, L., Nobis, M. P., Wu, X., Pan, K., Wang, K., … Tian, X. (2020). Climate change jointly with migration ability affect future range shifts of dominant fir species in Southwest China. Diversity and Distributions. https://doi.org/10.1111/ddi.13018
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
Werder, M. A., Huss, M., Paul, F., Dehecq, A., & Farinotti, D. (2020). A Bayesian ice thickness estimation model for large-scale applications. Journal of Glaciology, 66(255), 137-152. https://doi.org/10.1017/jog.2019.93
Voglmayr, H., & Beenken, L. (2020). Linosporopsis, a new leaf-inhabiting scolecosporous genus in Xylariaceae. Mycological Progress, 19(3), 205-222. https://doi.org/10.1007/s11557-020-01559-7
Tobias, S., & Price, B. (2020). How effective is spatial planning for cropland protection? An assessment based on land-use scenarios. Land, 9(2), 43 (20 pp.). https://doi.org/10.3390/land9020043
Richter, B., Schweizer, J., Rotach, M. W., & Van Herwijnen, A. (2019). Validating modeled critical crack length for crack propagation in the snow cover model SNOWPACK. Cryosphere, 13(12), 3353-3366. https://doi.org/10.5194/tc-13-3353-2019
Forzieri, G., Pecchi, M., Girardello, M., Mauri, A., Klaus, M., Nikolov, C., … Beck, P. S. A. (2020). A spatially explicit database of wind disturbances in European forests over the period 2000-2018. Earth System Science Data, 12(1), 257-276. https://doi.org/10.5194/essd-12-257-2020