Silvicultural and Statistical Approach to the Reforestation Methods Assignment in Forest Management

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630*23

DOI:

10.17238/issn0536-1036.2017.4.9

Abstract

Agricultural activities in the framework of the forest design is one of the main objectives of forest management. Reforestation is one of the basic projected groups of activities. The goal of research is to generalize the regularities of natural reforestation in various forest sites for mixed coniferous-broad leaved forests of the Middle Volga region, to develop a numerical score methodology of the undergrowth quantitative and qualitative characteristics for the objective assignment of reforestation methods in a survey plot. The object of the research is the forest plantations of the Mari El Republic. The initial data for the statistical analysis is the information of 44 sample plots and a database consisting of almost 50 thousand units of taxation characteristics of forest plantations. Using the module “Trees of Classification and Regression” in the STATISTICA environment, we have carried out a cluster analysis of the main silvicultural factors affecting the presence and density of undergrowth. Interpolated ten-point scales of taxation indicators are developed to assess the prospects of reforestation methods. Each scale is corrected by a correction factor of the power of influence of this factor on the appearance of undergrowth. According to the analyzed survey plot, a score of silvicultural factors is accumulated. Based on the sum of the scores given to the 10-point scale, all survey plots of the forest area are assessed according to the prospects of artificial or natural reforestation. The developed method of silvicultural and statistical determination of the feasibility assessment of the reforestation method is an objective evaluation tool. Its use is possible for both a small forest plot and a forest area.

Authors

L.V. Chernykh, Candidate of Agricultural Sciences, Head of Laboratory
D.V. Chernykh, Candidate of Agricultural Sciences, Senior Lecturer
S.A. Denisov, Doctor of Agricultural Sciences, Professor
V.L. Chernykh, Doctor of Agricultural Sciences, Professor

Affiliation

Volga State University of Technology, pl. Lenina, 3, Yoshkar-Ola, 424000, Mari El Republic, Russian Federation; e-mail: sitlx@mail.ru

Keywords

reforestation, silvicultural factor, probability, cluster analysis, decision tree, nu-merical score.

For citation

Chernykh L.V., Chernykh D.V., Denisov S.A., Chernykh V.L. Silvicultural and Statistical Approach to the Reforestation Methods Assignment in Forest Management. Lesnoy zhurnal [Forestry journal], 2017, no. 4, pp. 9–22. 10.17238/issn0536-1036.2017.4.9

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Received on February 15, 2017