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Polymorphic site index curves for Beech (Fagus sylvatica L.) in Central and Eastern Serbia
Author(s) -
Branko Stajić,
Snežana Obradović,
Zvonimir Baković,
Marko Kazimirović,
Živan Janjatović
Publication year - 2021
Publication title -
šumarski list
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.209
H-Index - 13
eISSN - 1846-9140
pISSN - 0373-1332
DOI - 10.31298/sl.145.1-2.3
Subject(s) - beech , fagus sylvatica , site index , forestry , forest management , sustainable forest management , mathematics , fagaceae , geography , statistics , ecology , physical geography , biology
This study was mainly aimed at constructing polymorphic site index curves for beech in the central (Rudnik mountain – RU, about 15,000 ha) and eastern (Žagubica – ŽA, about 7,000 ha) part of its distribution in Serbia. To obtain suitable height-age data and evaluate the best-fit growth model we used 107 felled dominant beech trees. The Korf, Korsun and Chapman-Richards growth functions per site class were first parameterized and then mutually compared with respect to residual statistics and the significance of their parameters. They were additionally parameterized in line with empirical data on the value and age of the culmination of current annual height increment (CAI h ). The obtained results indicated that the Chapman-Richards growth function showed the best results both by statistical (residuals standard error, significance of the parameters, distribution of residuals, and homoscedasticity) and by empirical criteria (the CAI h culmination time, the maximal values of the CAI h , and the attained height of trees at a certain age) of the height-age beech modelling in the analyzed regions. The obtained polymorphic site index curves which classify sites with regard to their productivity can be very helpful in planning appropriate silvicultural treatments, and for decision-making in forest management planning, forest policy and ecology and, consequently, in the sustainable management of beech forests in Serbia and some neighbouring countries with a similar forestry sector development.

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