Contemporary Problems of Ecology

, Volume 5, Issue 3, pp 332–336 | Cite as

Using top heights to make a growth class scale



The possibility of making a local growth class scale for Scots pine based on the data on the growth of separate trunks with peak heights is explored. Two criteria of classifying forest stands according to their growth are considered: (1) according to the parameters of the Mitscherlich function, i.e., b 1 (upper limit), b 2 (slope), and b 3 (shape), and (2) according to the bend point of the tree elongation curve (h m is the height at the time of the peak apical growth, and t m is the age when the peak growth is achieved).


course of growth height time of peak apical growth height of peak apical growth growth class scale Mitscherlich function 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Orlov, M.M., Lesnaya taksatsiya (Forest Evaluation), Leningrad: Lesnoe khoz-vo i lesnaya prom-st’, 1929.Google Scholar
  2. 2.
    Svalov, N.N., Predicting Stand Growth, in Ser. “Lesovedenie i Lesovodstvo”. T. 2. Metody ucheta i prognoza lesnykh resursov (Sylvics and Forestry, vol. 2: Methods of Forest Resource Accounting and Prediction), Moscow, 1978.Google Scholar
  3. 3.
    Garcia, O., Toward New Site Index Curves for Douglas-Fir in the Netherlands. Working Paper, Royal Veterinary and Agricultural Univ., Dep. Econ. and Nat. Res., Unit of Forestry, 1996, pp. 1–12.Google Scholar
  4. 4.
    Demakov, Yu.P., Variability and Classification of Curves of Tree Growth in Ontogeny, Lesnoi Zh., 2002, no. 4, pp. 32–36.Google Scholar
  5. 5.
    Russkov, V.G., Specifics of the Apical Growth of Archangel fir in Eastern Siberia, Lesnoi Zh., 2008, no. 3, pp. 34–39.Google Scholar
  6. 6.
    Gutman, A.L. and Uspenskii, V.V., Basic Age and Regularities of Stand Growth, Lesnoi Zh., 1991, no. 2, pp. 6–10.Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2012

Authors and Affiliations

  1. 1.Sukachev Institute of Forest, Siberian BranchRussian Academy of SciencesKrasnoyarskRussia

Personalised recommendations