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Generating Virtual Even-Aged Silver Fir Stand Structure Based on the Measured Sample Plots (CROSBI ID 233764)

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Beljan, Karlo ; Vedriš, Mislav ; Mikac, Stjepan ; Teslak, Krunoslav Generating Virtual Even-Aged Silver Fir Stand Structure Based on the Measured Sample Plots // South-east European forestry, 7 (2016), 2; 119-127. doi: 10.15177/seefor.16-16

Podaci o odgovornosti

Beljan, Karlo ; Vedriš, Mislav ; Mikac, Stjepan ; Teslak, Krunoslav

engleski

Generating Virtual Even-Aged Silver Fir Stand Structure Based on the Measured Sample Plots

Background and Purpose: The aim of this article is to create a virtual forest stand based on the field measurement of spatially separated sample plots and to examine its credibility based on the deviation of the basic characteristics of the virtual stand as compared to the field measurements. Material and Methods: Field measurements were made on 20 circular sample plots with a 20 m radius, set on a 100x100 m grid. By using the univariate Ripley’s K function the regularity of the spatial pattern of trees was analysed. The diameter distribution and the frequencies of height within individual diameter class were mathematically fitted and used for generating the virtual stand. The whole process of generating the virtual stand was done in the R software. Area of study are even-aged silver fir stands in the Croatian Dinarides. Results: The main unit of the virtual stand is a tree, with the purpose that the virtual stand can then be used as a basis for forest stand growth simulators. The result of the research was a virtual stand of 3 ha whose characteristics only slightly differed from the field measured plots. Within the virtual stand, special emphasis has been put on tree heights, which were generated according to the variability of tree height for trees of the same diameter at breast height. Conclusions: Considering the distribution of diameters at breast height, tree heights, the number of trees, basal area and volume, the virtual stand has minimal deviations from the situation in the field and it adequately shows variability measured in the field.

virtual forest ; forest planning ; Ripley’s (K) analysis ; distribution fitting ; R software

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Podaci o izdanju

7 (2)

2016.

119-127

objavljeno

1847-6481

1849-0891

10.15177/seefor.16-16

Povezanost rada

Šumarstvo

Poveznice