Changes in growth caused by climate change and other limiting factors in time affect the optimal equilibrium of close-to-nature forest management

Biondi, F., Qeadan, F., 2008: A theory-driven approach to tree-ring standardization: Defining the biological trend from expected basal area increment. Tree-Ring Research, 64:81–96.10.3959/2008-6.1Search in Google Scholar

Bolte, A., Ammer, C., Löf, M., Madsen, P., Nabuurs, G. J., Schall, P. et al., 2009: Adaptive forest management in central Europe: Climate change impacts, strategies and integrative concept. Scandinavian Journal of Forest Research, 24:473–482.10.1080/02827580903418224Search in Google Scholar

Bošeľa, M., Kulla, L. Roessiger, J., Šebeň, V., Dobor, L., Büntgen, U., Lukac, M., 2019: Long-term effects of environmental change and species diversity on tree radial growth in a mixed European forest. Forest Ecology and Management, 446:293–303.10.1016/j.foreco.2019.05.033Search in Google Scholar

Bouriaud, O., Bréda, N., Dupouey, J. L., Granier, A., 2005: Is ring width a reliable proxy for stem-biomass increment? A case study in European beech. Canadian Journal of Forest Research, 35:2920–2933.10.1139/x05-202Search in Google Scholar

Buongiorno, J., Michie, B. R., 1980: A matrix model of uneven-aged forest management. Forest Science, 26:609–625.Search in Google Scholar

Deegen, P., Villa, W., Stümer, W., Pretzsch, H., 2000: Zur finanziellen Analyse der Waldpflegeentschei-dung bei Berücksichtigung der Biodiversität, dargestellt am Beispiel der Fichte in Sachsen. Forstwissenschaftliches Centralblatt, 119:226–244.10.1007/BF02769139Search in Google Scholar

Ficko, A., Roessiger, J., Bončina, A., 2016: Can the use of continuous cover forestry alone maintain silver fir (Abies alba Mill.) in central European mountain forests? Forestry (London), 89:412–421.10.1093/forestry/cpw013Search in Google Scholar

Ficko, A., Roessiger, J., Bončina, A., 2018: Optimizing silviculture in mixed unevenaged forests to increase the recruitment of browse-sensitive tree species without intervening in ungulate population. iForest, 11:227–236.10.3832/ifor2567-011Search in Google Scholar

Gadow, K. V., 2006: Forsteinrichtung: Adaptive Steuerung und Mehrpfadprinzip. Universitätsverlag Göttingen, 163 p.10.17875/gup2006-249Search 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, 267:284–296.10.1016/j.foreco.2011.11.035Search in Google Scholar

Hlásny, T., Barka, I., Roessiger, J., Kulla, L., Trombik, J., Sarvašová, Z. et al., 2017: Conversion of Norway spruce forests in the face of climate change: a case study in Central Europe. European Journal of Forest Research, 136:1013–1028.10.1007/s10342-017-1028-5Search in Google Scholar

Masson-Delmotte, V., Zhai, P., Pörtner, H. O., Roberts, D., Skea, J., Shukla, P. R. et al. (eds.), 2018: IPCC: Global Warming of 1.5°C. An IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty.Search in Google Scholar

King, A. A., 2015: Subplex: Unconstrained Optimization Using the Subplex Algorithm. R Package, Version 1.1-6.Search in Google Scholar

Kulla, L., Bošeľa, M., Murgaš, V., Roessiger, J., Šebeň, V., 2017: Reconstruction of past forest status using inventory and tree ring data to support uneven-aged forest management. Central European Forestry Journal, 63:203–211.10.1515/forj-2017-0022Search in Google Scholar

Kulla, L., Roessiger, J., Sedliak, M., Murgaš, V., Šebeň, V., Sačkov, I., 2018: Inovatívne metódy ťažbovej úpravy prírode blízkych lesov – koncept lesa hrúbkových tried. Lesnícke štúdie 66, Zvolen, NLC, p.Search in Google Scholar

Leslie, P. H., 1945: The use of matrices in certain population mathematics. Biometrika, 33:183–212.10.1093/biomet/33.3.18321006835Search in Google Scholar

Lewis, E. G., 1942: On the generation and growth of a population. Sankhya Indian Journal of Statistics, 6:93–96.Search in Google Scholar

Liang, J., Zhou, M., Verbyla, D. L., Zhang, L., Springs-teen, A. L., Malone, T., 2011: Mapping forest dynamics under climate change: A matrix model. Forest Ecology and Management, 262:2250–2262.10.1016/j.foreco.2011.08.017Search in Google Scholar

Ministerstvo lesného a vodného hospodárstva Slovenskej republiky, 1992a: Výkonové normy pre sústreďovanie dreva univerzálnymi, pásovými a špeciálnymi lesnými kolesovými traktormi, Zborník 24.Search in Google Scholar

Ministerstvo lesného a vodného hospodárstva Slovenskej republiky 1992b: Výkonové normy pre ťažbu dreva, Zborník 21.Search in Google Scholar

Petráš, R., Pajtík, J., 1991: Sústava česko-slovenských objemových tabuliek drevín. Lesnícky časopis, 37:49–56.Search in Google Scholar

Petráš, R., Mecko, J., Kulla, L., 2017: Economic value production of trees as a criterion of their maturity in an uneven-aged forest. Central European Forestry Journal, 63:188–194.10.1515/forj-2017-0019Search in Google Scholar

Pretzsch, H., Biber, P, Schütze, G., Uhl, E., Rötzer, T., 2014: Forest stand growth dynamics in Central Europe have accelerated since 1870. Nature Communications, 5:4967.10.1038/ncomms5967417558325216297Search in Google Scholar

R Core Team, 2015: R: Language and Environment for Statistical Computing. R foundation for Statistical Computing, Vienna Austria. http://www.R-project.org/.Search in Google Scholar

Roessiger, J, Griess V. C., Härtl, F., Clasen, C., Knoke, T., 2013: How economic performance of a stand increases due to decreased failure risk associated with the admixing of species. Ecological Modelling, 255:58–69.10.1016/j.ecolmodel.2013.01.019Search in Google Scholar

Roessiger, J., Ficko, A., Clasen, C., Griess, V. C., Knoke, T., 2016: Variability in growth of trees in uneven-aged stands displays the need for optimizing diversified harvest diameters. European Journal of Forest Research, 135:283–295.10.1007/s10342-015-0935-6Search in Google Scholar

Roessiger, J., Kulla, L., Bošeľa, M., 2018: Finding equilibrium in continuous-cover forest management sensitive to interest rates using an advanced matrix transition model. Journal of Forest Economics, 33:83–94.10.1016/j.jfe.2018.12.001Search in Google Scholar

Rowan, T., 1990: Functional Stability Analysis of Numerical Algorithms. Ph.D. Thesis. Department of Computer Sciences, University of Texas at Austin.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, 4:806–810.10.1038/nclimate2318434056725737744Search in Google Scholar

Šimůnek, V., Vacek, Z., Vacek, S., Králíček, I., Vančura, K., 2019: Growth variability of European beech (Fagus sylvatica L.) natural forests: Dendroclimatic study from Krkonoše National Park. Central European Forestry Journal, 65:92–102.10.2478/forj-2019-0010Search in Google Scholar

Solomon, D. S., Hosmer, R. A., Hayslett, H. T. J., 1986: A two-stage matrix model for predicting growth of forest stands in the Northeast. Canadian Journal of Forest Research, 16:521–528.10.1139/x86-092Search in Google Scholar

Usher, M. B., 1969: A matrix model for forest management. Biometrics, 25:309–315.10.2307/2528791Search in Google Scholar

Vacek, Z., Vacek, S., Slanař, J., Bílek, L., Bulušek, D., Štafančík, I. et al., 2019: Adaptation of Norway spruce and European beech forests under climate change: from resistance to close-to-nature silviculture. Central European Forestry Journal, 65:129–144.10.2478/forj-2019-0013Search in Google Scholar