[
Albrecht, A., Hanewinkel, M., Bauhus, J., & Kohnle, U. (2012). How does silviculture affect storm damage in forests of south-western Germany? Results from empirical modeling based on long-term observations. European Journal of Forest Research, 131(1), 229–247. https://doi.org/10.1007/s10342-010-0432-x
]Search in Google Scholar
[
Čada, V., Morrissey, R. C., Michalová, Z., Bače, R., Janda, P., & Svoboda, M. (2016). Frequent severe natural disturbances and non-equilibrium landscape dynamics shaped the mountain spruce forest in central Europe. Forest Ecology and Management, 363, 169–178. https://doi.org/10.1016/j.foreco.2015.12.023
]Search in Google Scholar
[
Dobbertin, M. (2002). Influence of stand structure and site factors on wind damage comparing the storms Vivian and Lothar. Forest Snow and Landscape Research, 77(1–2), 187–205.
]Search in Google Scholar
[
Dobor, L., Hlásny, T., & Zimová, S. (2020). Contrasting vulnerability of monospecific and species-diverse forests to wind and bark beetle disturbance: The role of management. Ecology and Evolution, 10, 12233–12245. https://doi.org/10.1002/ece3.6854
]Search in Google Scholar
[
Dormann, C. F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., …, & Lautenbach, S. (2013). Collinearity: A review of methods to deal with it and a simulation study evaluating their performance. Ecography, 36, 27–46. https://doi.org/10.1111/j.1600-0587.2012.07348.x
]Search in Google Scholar
[
Everham, E. M., & Brokaw, N. V. L. (1996). Forest Damage and Recovery from Catastrophic Wind. The Botanical Review, 62, 113–185.
]Search in Google Scholar
[
Falťan, V., Katina, S., Bánovský, M., & Pazúrová, Z. (2009). The Influence of Site Conditions on the Impact of Windstorms on Forests: The Case of the High Tatras Foothills (Slovakia) in 2004. Moravian Geographical Reports, 17(3), 10–18.
]Search in Google Scholar
[
Falťan, V., Katina, S., Minár, J., Polčák, N., Bánovský, M., Maretta, M., Zámečník, S., & Petrovič, F. (2020). Evaluation of abiotic controls on windthrow disturbance using a generalized additive model: A case study of the Tatra National Park, Slovakia. Forests, 11, 1259. https://doi.org/10.3390/f11121259
]Search in Google Scholar
[
Falťan, V., Petrovič, F., Gábor, M., Šagát, V., & Hruška, M. (2021). Mountain landscape dynamics after large wind and bark beetle disasters and subsequent logging—case studies from the Carpathians. Remote Sensing, 13, 3873. https://doi.org/10.3390/rs13193873
]Search in Google Scholar
[
Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27, 861–874. https://doi.org/10.1016/j.patrec.2005.10.010
]Search in Google Scholar
[
Fleischer, P., Pichler, P., Fleischer, P. (Jr.), Holko, L., Máliš, F., Gömöryová, E., Cudlín, P., Holeksa, J., Michalová, Z., Homolová, Z., Škvarenina, J., Střelcová, K., & Hlaváč, P. (2017). Forest ecosystem services affected by natural disturbances, climate and land-use changes in the Tatra Mountains. Climate Research, 73, 57–71. https://doi.org/10.3354/cr01461
]Search in Google Scholar
[
Foster, D. R., & Boose, E. R. (1992). Patterns of Forest Damage Resulting from Catastrophic Wind in Central New England, USA. Journal of Ecology, 80(1), 79–98. https://doi.org/https://www.jstor.org/stable/2261065
]Search in Google Scholar
[
Fox, J., & Monette, G. (1992). Generalized collinearity diagnostics. Journal of the American Statistical Association, 87(417), 178–183. https://doi.org/10.1080/01621459.1992.10475190
]Search in Google Scholar
[
Griess, V. C., Acevedo, R., Härtl, F., Staupendahl, K., & Knoke, T. (2012). Does mixing tree species enhance stand resistance against natural hazards? A case study for spruce. Forest Ecology and Management, 267, 284–296. https://doi.org/10.1016/j.foreco.2011.11.035
]Search in Google Scholar
[
Hanewinkel, M., Kuhn, T., Bugmann, H., Lanz, A., & Brang, P. (2014). Vulnerability of uneven-aged forests to storm damage. Forestry, 87, 525–534. https://doi.org/10.1093/forestry/cpu008
]Search in Google Scholar
[
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., …, & Townshend, J. R. G. (2013). High-resolution global maps of 21st century forest cover change. Science, 342, 850–853. http://earthenginepartners.appspot.com/science-2013-global-forest
]Search in Google Scholar
[
Jakuš, R., Mezei, P., & Blaženec, M. (2015). Ekologické základy ochrany lesa- disturbancie v lesných ekosystémoch. In R. Jakuš & M. Blaženec (Eds.), Princípy ochrany dospelých smrekových porastov pred podkôrnym hmyzom (pp. 93–108). Department of Forest Ecology, Slovak Academy of Sciences.
]Search in Google Scholar
[
Jalkanen, A., & Mattila, U. (2000). Logistic regression models for wind and snow damage in northern Finland based on the National Forest Inventory data. Forest Ecology and Management, 135, 315–330. https://doi.org/10.1016/S0378-1127(00)00289-9
]Search in Google Scholar
[
Kenderes, K., Aszalós, R., Ruff, J., Barton, Z., & Standovár, T. (2007). Effects of topography and tree stand characteristics on susceptibility of forests to natural disturbances (ice and wind) in the Börzsöny Mountains (Hungary). Community Ecology, 8(2), 209–220. https://doi.org/10.1556/ComEc.8.2007.2.7
]Search in Google Scholar
[
Klaus, M., Holsten, A., Hostert, P., & Kropp, J. P. (2011). Integrated methodology to assess windthrow impacts on forest stands under climate change. Forest Ecology and Management, 261, 1799–1810. https://doi.org/10.1016/j.foreco.2011.02.002
]Search in Google Scholar
[
Klopcic, M., Poljanec, A., Gartner, A., & Boncina, A. (2009). Factors related to natural disturbances in mountain Norway spruce (Picea abies) forests in the Julian Alps. Ecoscience, 16(1), 48–57. https://doi.org/10.2980/16-1-3181
]Search in Google Scholar
[
Konôpka, B., Zach, P., & Kulfan, J. (2016). Wind – An important ecological factor and destructive agent in forests. Forestry Journal, 62, 123–130. https://doi.org/10.1515/forj-2016-0013
]Search in Google Scholar
[
Kopecký, M., & Čížková, Š. (2010). Using topographic wetness index in vegetation ecology: Does the algorithm matter? Applied Vegetation Science, 13, 450–459. https://doi.org/10.1111/j.1654-109X.2010.01083.x
]Search in Google Scholar
[
Kramer, M. G., Hansen, A. J., Taper, M. L., & Kissinger, E. J. (2001). Abiotic controls on long-term windthrow disturbance and temperate rain forest dynamics in Southeast Alaska. Ecology, 82(10), 2749–2768. https://doi.org/10.2307/2679958
]Search in Google Scholar
[
Krejci, L., Kolejka, J., Vozenilek, V., & Machar, I. (2018). Application of GIS to empirical windthrow risk model in mountain forested landscapes. Forests, 9, 96. https://doi.org/10.3390/F9020096
]Search in Google Scholar
[
Lanquaye-Opoku, N., & Mitchell, S. J. (2005). Portability of stand-level empirical windthrow risk models. Forest Ecology and Management, 216, 134–148. https://doi.org/10.1016/j.foreco.2005.05.032
]Search in Google Scholar
[
Lohmander, P., & Helles, F. (1987). Windthrow probability as a function of stand characteristics and shelter. Scandinavian Journal of Forest Research, 2, 227–238. https://doi.org/10.1080/02827588709382460
]Search in Google Scholar
[
Mayer, P., Brang, P., Dobbertin, M., Hallenbarter, D., Renaud, J. P., Walthert, L., & Zimmermann, S. (2005). Forest storm damage is more frequent on acidic soils. Annals of Forest Science, 62(4), 303–311. https://doi.org/10.1051/forest:2005025
]Search in Google Scholar
[
Mezei, P., Blaženec, M., Grodzki, W., Škvarenina, J., & Jakuš, R. (2017a). Influence of different forest protection strategies on spruce tree mortality during a bark beetle outbreak. Annals of Forest Science, 74, 65. https://doi.org/10.1007/s13595-017-0663-9
]Search in Google Scholar
[
Mezei, P., Jakuš, R., Pennerstorfer, J., Havašová, M., Škvarenina, J., Ferenčík, J., …, & Netherer, S. (2017b). Storms, temperature maxima and the Eurasian spruce bark beetle Ips typographus—An infernal trio in Norway spruce forests of the Central European High Tatra Mountains. Agricultural and Forest Meteorology, 242, 85–95. https://doi.org/10.1016/j.agrformet.2017.04.004
]Search in Google Scholar
[
Mikita, T., Klimanek, M., & Kolejka, J. (2012). Usage of multidimensional statistic methods with MAXTOPEX factor for Windthrow risk assessment. Allgemeine Forst Und Jagdzeitung, 183(3–4), 63–74.
]Search in Google Scholar
[
Minár, J., Falťan, V., Bánovský, M., Damankošová, Z., & Kožuch, M. (2009). Influence of site conditions on the windstorm impact: A case study of the High Tatras foothills in 2004. Landform Analysis, 10, 95–101.
]Search in Google Scholar
[
Nikolov, C., Konôpka, B., Kajba, M., Galko, J., Kunca, A., & Janský, L. (2014). Post-disaster forest management and bark beetle outbreak in Tatra National Park, Slovakia. Mountain Research and Development, 34(4), 326–335. https://doi.org/10.1659/MRD-JOURNAL-D-13-00017.1
]Search in Google Scholar
[
Nováková, M. H., & Edwards-Jonášová, M. (2015). Restoration of Central-European mountain Norway spruce forest 15 years after natural and anthropogenic disturbance. Forest Ecology and Management, 344, 120–130. https://doi.org/10.1016/j.foreco.2015.02.010
]Search in Google Scholar
[
Ochtyra, A. (2020). Forest disturbances in Polish Tatra Mountains for 1985–2016 in relation to topography, stand features, and protection zone. Forests, 11, 579. https://doi.org/10.3390/F11050579
]Search in Google Scholar
[
Oťaheľ, J., Feranec, J., Kopecká, M., & Falťan, V. (2017). Modifikácia metódy CORINE Land Cover a legenda pre identifikáciu a zaznamenávanie tried krajinnej pokrývky v mierke 1:10 000 na báze príkladových štúdií z územia Slovenska. Geographical Journal, 69(3), 189–224.
]Search in Google Scholar
[
Panferov, O., Doering, C., Rauch, E., Sogachev, A., & Ahrends, B. (2009). Feedbacks of windthrow for Norway spruce and Scots pine stands under changing climate. Environmental Research Letters, 4. https://doi.org/10.1088/1748-9326/4/4/045019
]Search in Google Scholar
[
Pawlik, Ł., Godziek, J., & Zawolik, Ł. (2022). Forest damage by extra-tropical cyclone Klaus-Modeling and prediction. Forests, 13, 1991. https://doi.org/10.3390/f13121991
]Search in Google Scholar
[
Pedersen, E. J., Miller, D. L., Simpson, G. L., & Ross, N. (2019). Hierarchical generalized additive models in ecology: An introduction with mgcv. PeerJ. https://doi.org/10.7717/peerj.6876
]Search in Google Scholar
[
Peterson, C. J., & Pickett, S. T. A. (1991). Treefall and resprouting following catastrophic windthrow in an old-growth hemlock-hardwoods forest. Forest Ecology and Management, 42, 205–217.
]Search in Google Scholar
[
Roberts, D. W. (1986). Ordination on the basis of fuzzy set theory. Vegetatio, 66(3), 123–131. https://www.jstor.org/stable/20037322
]Search in Google Scholar
[
Romagnoli, F., Cadei, A., Costa, M., Maragon, D., Pellegrini, G., Nardi, D., …, & Cavalli, R. (2023). Windstorm impacts on European forest-related systems: An interdisciplinary perspective. Forest Ecology and Management, 541, 121048. https://doi.org/10.1016/j.foreco.2023.121048
]Search in Google Scholar
[
Ruel, J. C. (1995). Understanding windthrow: Silvicultural implications. The Forestry Chronicle, 71(4), 434–445.
]Search in Google Scholar
[
Ruel, J. (2000). Factors influencing windthrow in balsam fir forests : from landscape studies to individual tree studies. Forest Ecology and Management, 135, 169–178.
]Search in Google Scholar
[
Schelhaas, M. J., Nabuurs, G. J., & Schuck, A. (2003). Natural disturbances in the European forests in the 19th and 20th centuries. Global Change Biology, 9, 1620–1633. https://doi.org/10.1046/j.1365-2486.2003.00684.x
]Search in Google Scholar
[
Schindler, D., Jung, C., & Buchholz, A. (2016). Using highly resolved maximum gust speed as predictor for forest storm damage caused by the high-impact winter storm Lothar in Southwest Germany. Atmospheric Science Letters, 17, 462–469. https://doi.org/10.1002/asl.679
]Search in Google Scholar
[
Schmidt, M., Hanewinkel, M., Kändler, G., Kublin, E., & Kohnle, U. (2010). An inventory-based approach for modeling singletree storm damage – experiences with the winter storm of 1999 in southwestern Germany. Canadian Journal of Forest Research, 40, 1636–1652. https://doi.org/10.1139/X10-099
]Search in Google Scholar
[
Schmoeckel, J., & Kottmeier, C. (2008). Storm damage in the Black Forest caused by the winter storm “Lothar” – Part 1: Airborne damage assessment. Natural Hazards and Earth System Science, 8, 795–803. https://doi.org/10.5194/nhess-8-795-2008
]Search in Google Scholar
[
Schütz, J. P., Götz, M., Schmid, W., & Mandallaz, D. (2006). Vulnerability of spruce (Picea abies) and beech (Fagus sylvatica) forest stands to storms and consequences for silviculture. European Journal of Forest Research, 125, 291–302. https://doi.org/10.1007/s10342-006-0111-0
]Search in Google Scholar
[
Seidl, R., & Blennow, K. (2012). Pervasive growth reduction in Norway spruce forests following wind disturbance. PLoS ONE, 7(3). https://doi.org/10.1371/journal.pone.0033301
]Search in Google Scholar
[
Seidl, R., Schelhaas, M. J., Rammer, W., & Verkerk, P. J. (2014). Increasing forest disturbances in Europe and their impact on carbon storage. Nature Climate Change, 4, 806–810. https://doi.org/10.1038/nclimate2318
]Search in Google Scholar
[
Sproull, G. J., Adamus, M., Bukowski, M., Krzyzanowski, T., Szewczyk, J., Statwick, J., & Szwagrzyk, J. (2015). Tree and stand-level patterns and predictors of Norway spruce mortality caused by bark beetle infestation in the Tatra Mountains. Forest Ecology and Management, 354, 261–271. https://doi.org/10.1016/j.foreco.2015.06.006
]Search in Google Scholar
[
Stathers, R. J., Rollerson, T. P., & Mitchell, S. J. (1994). Windthrow Handbook for British Columbia Forests (Working Paper 9401). Victoria B.C., Ministry of Forests.
]Search in Google Scholar
[
Suvanto, S., Peltoniemi, M., Tuominen, S., Strandström, M., & Lehtonen, A. (2019). High-resolution mapping of forest vulnerability to wind for disturbance-aware forestry. Forest Ecology and Management, 453, 117619. https://doi.org/10.1016/j.foreco.2019.117619
]Search in Google Scholar
[
Svoboda, M., Janda, P., Nagel, T. A., Fraver, S., Rejzek, J., & Bače, R. (2012). Disturbance history of an old-growth sub-alpine Picea abies stand in the Bohemian Forest, Czech Republic. Journal of Vegetation Science, 23, 86–97. https://doi.org/10.1111/j.1654-1103.2011.01329.x
]Search in Google Scholar
[
Šagát, V., & Rusinko, A. (2022). Comparison of digital elevation models considering explanatory power of derived topographic variables entering generalized additive models of deforestation. Sborník Abstraktů 25. Kongresu ČGS a 18. Kongresu SGS, 213.
]Search in Google Scholar
[
Šagát, V., Ružek, I., Šilhán, K., & Beracko, P. (2021). The impact of local climate change on radial Picea abies growth: A case study in natural mountain spruce stand and low-lying spruce monoculture. Forests, 12, 1118. https://doi.org/10.3390/f12081118
]Search in Google Scholar
[
Usbeck, T., Wohlgemuth, T., Dobbertin, M., Pfister, C., Bürgi, A., & Rebetez, M. (2010). Increasing storm damage to forests in Switzerland from 1858 to 2007. Agricultural and Forest Meteorology, 150, 47–55. https://doi.org/10.1016/j.agrformet.2009.08.010
]Search in Google Scholar
[
Valinger, E., & Fridman, J. (2011). Factors affecting the probability of windthrow at stand level as a result of Gudrun winter storm in southern Sweden. Forest Ecology and Management, 262, 398–403. https://doi.org/10.1016/j.foreco.2011.04.004
]Search in Google Scholar
[
Weis, A. D. (2001). Topographic position and landforms analysis. ESRI User Conference. http://scholar.google.com/scholar?hl=enandbtnG=Searchandq=intitle:Topographic+Position+and+Landforms+Analysis#0
]Search in Google Scholar
[
White, P. S., & Pickett, S. T. A. (1985). Natural disturbance and patch dynamics: An introduction. In P. White & S. T. A. Pickett (Eds.), The ecology of natural disturbance and patch dynamics (pp. 3–13). Academic Press. https://doi.org/10.1016/b978-0-12-554520-4.50006-x
]Search in Google Scholar
[
Wood, S. N. (2017). Generalized Additive Models: An introduction with R. Chapman and Hall, CRC. https://doi.org/https://doi.org/10.1016/C2009-0-02952-3
]Search in Google Scholar
[
Wood, S. N. (2008). Fast stable direct fitting and smoothness selection for Generalized Additive Models. Journal of the Royal Statistical Society, 70(3), 495–518. https://www.jstor.org/stable/20203839
]Search in Google Scholar
[
Zuur, A. F., Ieno, E. N., & Elphick, C. S. (2010). A protocol for data exploration to avoid common statistical problems. Methods in Ecology and Evolution, 1, 3–14. https://doi.org/10.1111/j.2041-210x.2009.00001.x
]Search in Google Scholar