Theoretical preconditions for growth modelling of modal stands of hardwood broadleaved tree species



О. P. Bala, А. Yu. Terentiev, І. P. Lakyda

Анотація


Development of reference materials for assessment of dynamics of biometric parameters of modal stands is an important component of research of forestsproductivity. In this research, on basis of a stand-level database of IA  Ukrderzhlisproektwe have statistically justified allocation of pure and mixed stands for hardwood broadleaved tree species by means of cluster analysis and graphical comparison of dendrograms of cluster objects for the main biometric indices (mean height, mean diameter and growing stock per 1 ha). The results prove that for the majority of factors stands with 9 out of 10 units of a certain species in composition belong to the same cluster as those with 3 to 8 units. This has enabled us to allocate pure stands as those featuring 10 units of a certain species in composition. The next stage was to test the null hypothesis on the significance of the difference between the mean values of the main biometric indices of the stand groups allocated from the stand-level database. The groups included pure and mixed stands, stands of natural and artificial, seed and vegetative origin. The statistical toolbox applied includes the Student’s t-test and Fisher’s F-test. As a result, after an analysis of the calculated indices, considering the structure of the stands in question in terms of their species composition and origin, we have allocated 6 groups for oak, 2 – for beech, 3 – for hornbeam and 3 – for ash stands. Further research of growth and productivity of the hardwood broadleaves linked with the development of yield tables for modal stands should be based on the allocated groups and dynamic site index scales.

Keywords: composition of a stand, origin of a stand, cluster analysis, biometric indices, Students t-test, Fishers F-test.


Повний текст:

PDF (English)

Посилання


Abramowitz, Milton, Stegun & Irene A. (1965). Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York: Dover.

Bala, O. P. & Terentiev, A. Yu. (2011). Comparative characteristic of stands indicators of modal oak stands of Ukraine. Scientific bulletin of NULES of Ukraine, series ”Forestry and park gardening”, 164(3), 11-19 (in Ukrainian).

Bala, O. P. (2018). Foundation of the choice of the ranking factor for the creation of yield tables of modal hardwood tree species stands. The sustainable management of the forest complex and the balanced development of the urban landscapes, 14-15. Kyiv, Ukraine: National University of Life and Environment Science of Ukraine (in Ukrainian).

Bala, O. P., Terentiev, A. Yu., & Vasylyshyn, R. D. (2011). Comparative characteristic of stands indicators of modal beech stands in Carpathian region of Ukraine. Scientific reports of NULES of Ukraine, 6(28), http://www.nbuv.gov.ua/e-journals/Nd/2011_6/11bop.pdf (in Ukrainian).

DSTU 3404-96 (1997). “Forestry. Terms and definitions” Effective from 01.07.1997. Kyiv: Ukraine (in Ukrainian).

Lakyda P. I. & Bala O. P. (2012). Actualization of growth parameters of artificial oak stands of Forest-Steppe of Ukraine's. Korsun-Shevchenkivskyi: FOP Havryshenko V. M. (in Ukrainian).

Lakyda, P. I., Terentiev, A. Yu., & Vasylyshyn, R. D. (2012). Scots pine stands of artificial origin in Ukrainian Polissya – growth and productivity forecast. Korsun-Shevchenkivskyi: FOP Maydachenko I.S. (in Ukrainian).

Lakyda, P.I. & Aleksiiuk, I. L. (2017). Natural pine forest stands of Ukrainian Polissya: growth and productivity forecast. Korsun-Shevchenkivskyi: FOP Maydachenko I.S. (in Ukrainian).

Lakyda, P.I. & Atamanchuk, R. V. (2014). Forecast and productivity of modal birch stands in Ukrainian Polissya. Korsun-Shevchenkivskyi: FOP Havryshenko V. M. (in Ukrainian).

Lakyda, P.I. & Volodymyrenko, V. M. (2008). Artificial spruce stands of the Ukrainian Carpathians - growth and productivity forecast. Кyiv : ESC ІАЕ (in Ukrainian).

Nikitin, K. E. & Shvidenko, A. Z. (1978). Methods and techniques for processing forest information. Moscow : Forestry industry (in Russian).

Shmoilova, R.A., Mynashkyn, V.H., Sadovnikova, N.A. & Shuvalova, E.B. (2005). Theory of statistics. Moscow : Finance and statistics (in Russian).

State Forest Resources Agency of Ukraine (2014). Project “Instruction for the inventory of the forest fund of Ukraine”. Retrieved from http://dklg.kmu.gov.ua/forest/control/uk/publish/article?art_id=119314.

Student. (1908). The probable error of a mean. Biometrika, № 6 (1), 1-25.

Vasylyshyn, R. D. (2016). Forests of Ukrainian Carpathians - features of growth, biological and energy productivity. Kyiv: TOV “KOMPRINT” (in Ukrainian).


Метрики статей

Завантаження метрик ...

Metrics powered by PLOS ALM

Посилання

  • Поки немає зовнішніх посилань.