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The dynamics of plant communities is an important issue for sustainable forest management. In case of several parallel dynamic tendencies occurring within a group of research objects similar to each other, their demarcation may be difficult. The aim of the research was to check the applicability of numerical classification to distinguish the dynamic trends of plant communities on the example of multidirectional reaction of oligotrophic pine forest Peucedano−Pinetum W. Mat. (1962) 1973 to surface fire. The research was conducted in the post−fire site originated in spring 2015 in the Kampinoski National Park (central Poland). The set of 45 permanent plots was established. They differed in the degree of disturbance, measured as the share of the total burnout of the soil organic horizon. The phytosociological survey was carried out every year between 2015 and 2018, using the Londo scale. The use of cluster analysis for classification of vegetation changes requires an uniform unit for each of the variables. It was expressed as the ratio of the difference between the positions of the research plots (registered vegetation states) in the indirect space of the ordination analysis and the time elapsed between them. Thus the subject of the classification were the multidimensional changes (beta diversity) expressed in the unit of speed. The obtained material was arithmetically transformed and ordered using the PCoA method with the Bray−Curtis distance. The range of changes was calculated as differences in the plot position in three annual intervals separately for each of the four main gradients of the ordination. The 12 annual change values obtained for each of the plot were subjected to Ward classification. In order to verify the nature of the obtained clusters, collective covers of species belonging to higher syntaxones were calculated and their changes during the research period compared using the Kruskal−Wallis and Mann−Whitney tests. The significance of differences in the degree of initial disturbance was also checked. On the basis of the Ward classification, the division into five dynamic groups of plots was obtained. An analysis of the changes in the coverage of higher syntaxonomic groups revealed the existence of statistically significant differences between the clusters in 55 out of 110 possible cases. The presence of significant differences in the initial degree of disturbance by fire was also noted. The studied plot groups represent the regeneration process (A and B), pine forest regression combined with secondary succession (groups C and D) and the control group – not−disturbed pine forest (E). The cluster analysis method was proved to be an effective tool for classifying objects in terms of different tendencies of vegetation dynamic.
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