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Stan drzew pomnikowych w Świdnicy

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The work analyses the condition of forty nine trees in Świdnica (in the Lower Silesian Voivodship). The listed trees in this town belong to eighteen species, half of which are native and half foreign to our flora. The vast majority are angiosperms. The majority of the listed trees at Świdnica are English Oak (Quercus robur), the rarest examples include Common Ash (Fraxinus excelsior), Silver Maple (Acer saccharinum), White Mulberry (Morus alba), False Acacia (Robinia pseudoacacia) and Dutch Elm (Ulmus ×hollandica). The majority (59.2%) of the trees are in good health, while 22.4% require urgent arboricultural work.
The paper presents an ecological analysis of the defoliation of Scotch pines in relation to the age of trees, and the dust fall in the immediate environment. The Bayesian modeling of empirical data was proposed here via MCMC technique – known as Gibbs sampling in the BUGS software. The usefulness of the methodology was accentuated in such ecological assessments.
In the paper we proposed a methodology to distinguish the phases of the tree growth in thickness of an English oak in the past century based on the ring chronology. We analyzed northern, eastern, southern and western tree ring increments using both the statistical modeling and a taxonomic method. Each step of the methodological procedure was described in the paper and the results were displayed graphically in line plots via a dendrogram and set in a table. To familiarize the Reader with the chosen methodology, some general notes over the approaches were added to the text. In the analysis, three phases of the tree thickness growth in the examined monumental English oak in the 20th century were set up statistically. The average-annual increments for these phases were calculated and plotted. The appropriateness of this technique for a practical use in dendrochronology was concluded finally and its wider application suggested.
This paper presents an ecological analysis of the growth in thickness of monumental English oaks in relation to the age of trees, their health status, and dust fall in the immediate environment. The Bayesian modeling of empirical data was proposed via the MCMC technique ± known as Gibbs sampling in the BUGS software. The usefulness of the methodology, was accentuated in such ecological assessments.
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