Liubchych M. Improvement of approaches to the evaluation of growing stand assortment-grade structure

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0417U003499

Applicant for

Specialization

  • 06.03.02 - Лісовпорядкування і лісова таксація

27-06-2017

Specialized Academic Board

Д 26.004.09

National University of Life and Environmental Sciences of Ukraine

Essay

The dissertation is devoted to the improvement of methodological approaches that ensure the most efficient use of wood forest resources by evaluation the most accurate assortment-grade structure for growing stands at the root, which are planned to be felled, as well as development the mechanisms for analysis and control for receiving the targets of assortment-grade structure and the most accurate information about wood lots characteristics, which forest enterprises expose to timber exchange trades. Two methods for evaluation an assortment-grade structure are suggested. Algorithm for software complex "Automatic Work Station: Logging fund" has been developed. Microsoft Excel spreadsheets are used for regular comparison of planned and actual assortment-grade structure of logging fund as well as for operational control over the output of assortments. The method of evaluation and bucking the model trees gives the most accurate results, that is very important in the case of high-quality assortments or in the case of internal stem defects in the stands. The method of using the existing assortment-grade structure gives the possibility to take into account the impact of forest site conditions, existing wood defects, and other specific features of every forestry (ground water level, man-made pollution, etc.) on assortments output. Average deviation of round timber value, technical raw stock for processing and firewood, evaluated by the method of evaluation and bucking the model trees and by the method of using the existing assortment-grade structure is 7,3 and 4 times less respectively than was planned by forestry.

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