The paper deals with a proposal for a thinning model for the growth simulator SIBYLA. The model is based on an analytical-causal modeling approach. Some partial theorems are tested on experimental data from thinning sample plots. The model is composed of the following components: the model of bio-sociological tree status, the model for score of existence, the model for type of selection, the model for amount of thinning, and the aggregated model of the thinning concept. The appropriate combination of type and amount of thinning allows the user to perform the following thinning concepts: thinning from below, thinning from above, neutral thinning, crop tree thinning, target diameter thinning, target frequency (equilibrium) curve thinning, clear cutting, and thinning by list (interactive thinning). A software solution of the algorithms, and an example of different thinning concepts for selected forest stands is presented at the end of the paper along with a discussion about the advantages and disadvantages of the thinning model compared to the SILVA 2.2 model.
AbStRACt:The paper presents the results of a regional analysis of climate change impacts on Norway spruce growth in the north-western part of Slovakia (Orava region). Radial increment was determined from nine X-tree sample plots established in the forests of natural character in the region. The analysis of PTT radial increment was done on tree disks cut from a height of 1.3 m by measurements of four perpendicular directions corresponding to the cardinal points. It was derived from the tree-ring width measured at breast height (1.3 m) while all the basic principles of tree-ring analyses were observed (transport and borehole treatment, measurements with digital positiometer to the nearest 0.01 mm, synchronisation of the tree-ring diagrams). A dendroclimatic model belongs to the category of empirical models based on the statistical evaluation of empirically derived dependences between the time series of tree-ring parameters and the monthly climatic characteristics. This statistical evaluation is based on a multiple linear regression model. Climatic models were used as basic tools for climatic change prediction. There is a scenario coming from the GCM category, which is derived from the models of Canadian Centre for Climate Modelling and Analysis in Victoria (British Columbia, Canada), used for a solution of this task. It is the latest connected model from the second generation designated CCCM 2000. For the purpose of this study the area averages were modified for the meteorological station Oravská Polhora with the 1951-1980 reference period. The modification includes two climatic characteristics, total monthly precipitation and monthly temperature means. The frequency analysis indicates that 24.4% of trees would react to the assumed climatic change negatively, i.e. by decreasing the increment, and 75.6% of trees would react positively. Most of the reactions are moderately positive. It is to conclude that 14.6% of trees will react to a climatic change significantly in a negative way, the reactions of 34.1% trees are considered to be unchanged and 51.3% of trees should react to the assumed climatic change positively (P = 0.95). It results from the analysis of the climatic change impact that the highest effect on stands situated on the upper forest limit can be expected.
The paper is focused on the evaluation of long-term changes in the chemical composition of precipitation in the mountain forests of Slovakia. Two stations with long-term measurements of precipitation quality were selected, namely the station of the EMEP (European Monitoring and Evaluation Programme) network Chopok (2008 m a.s.l.) and the station of the ICP Forests (International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests) network Poľana-Hukavský grúň (850 m a.s.l.). All basic chemical components were analyzed, namely sulfur (S-SO4), nitrogen (N-NH4, N-NO3), and base cations (Ca, Mg, and K) contained in precipitation. The time changes of the individual components were statistically evaluated by the Mann–Kendall test and Kruskal–Wallis test. The results showed significant declining trends for almost all components, which can significantly affect element cycles in mountain forest ecosystems. The evaluated forty one-year period (1987 to 2018) is characterized by significant changes in the precipitation regime in Slovakia and the obtained results indicate possible directions in which the quantity and quality of precipitation in the mountainous areas of Slovakia will develop with ongoing climate change.
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