2010
DOI: 10.2478/s11535-010-0024-2
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The Sibyla model and development of beech forests affected by air pollution

Abstract: Abstract:The paper deals with the health status, production and structure of autochthonous beech stands in the eastern part of the Krkonoše Mts. (Czech Republic). The region was affected by increased air pollution load due to long-range SO 2 transmission from the late 1970s to the early 1990s. In 1980, five research plots were established in long unmanaged beech stands at an optimum stage. Tree coordinates and initial biometrical measurements were made in 1980 and repeated in 2005. The defoliation of individua… Show more

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Cited by 11 publications
(11 citation statements)
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“…(Vacek et al, 2014). Model development of the studied PRP created by the SIBYLA growth simulator, which confirmed a high accuracy (Špulák & Souček, 2010;Vacek et al, 2015b), showed relative stability in the forest dynamics in the area of the hilltop phenomenon. ) (Vacek et al, 2015b).…”
Section: Discussionmentioning
confidence: 52%
“…(Vacek et al, 2014). Model development of the studied PRP created by the SIBYLA growth simulator, which confirmed a high accuracy (Špulák & Souček, 2010;Vacek et al, 2015b), showed relative stability in the forest dynamics in the area of the hilltop phenomenon. ) (Vacek et al, 2015b).…”
Section: Discussionmentioning
confidence: 52%
“…Research of Špulák and Souček (2010) also showed only moderate differences in evaluated stand indices between reality and models. However, in fact it is to take into account that the dynamics of beech forests may be influenced by unforeseeable anomalous disturbances of high intensity (Mountford 2002;Closset-Kopp et al 2006).…”
Section: Discussionmentioning
confidence: 92%
“…Climatic information was obtained from a nearby meteorological station at Rýchory. For a higher statistical significance of prediction the 36× repetition of simulation was used (6× repetition of structure generation, 6× repetition of prognosis) - (Špulák and Souček 2010). The arithmetic mean of variables from repeated simulations was calculated from the resultant value and then the simulation most approaching the mean was chosen.…”
Section: Discussionmentioning
confidence: 99%
“…Empirical forest growth models, such as the SIBYLA tree growth simulator, are mostly based on regression analysis-adapted growth curves concerning the relationships between age and height for different site conditions (Pretzsch 2009). Empirical growth models are capable of producing reliable outputs even under different climate change scenarios (Matala et al 2005), forest management (Lindner 2000), or atmospheric pollution (Špulák & Souček 2010). Such models are generally based on the conservation of climatic envelopes for species but they ignore the capacity of populations to modify their ecological niches in the future (Thuiller et al 2006).…”
Section: Discussionmentioning
confidence: 99%