Статья

ANALYSIS of LAND MANAGEMENT of the FOREST FUND

O. Pasko, A. Zakharchenko, V. Kovyazin,
2021

The relevance of the research is related to the priority attention of the state to the use of forests as the main reproducible natural resource in Russia. The aim of the research is to analyze the existing spatial division of forest lands. Objects: lands of the forest fund of the Tomsk region, divided into districts, forest areas and district forest areas on the principle of three-level hierarchical division Methods: abstract-logical, analytical and mathematical modeling. The working hypothesis assumes that the area of forest plots depends on the value of the scale unit according to the power law, and the coefficient at the logarithm of the function reflects the range of changes in the scale dimension. For the first time, the problem of changing scale is used in relation to the analysis of land management in forest areas. Results. The hierarchical structure of the territorial division of forest lands is revealed. In general, the area of local forest areas in the Tomsk region varies between 282–2332087 ha. Univariate variance analysis of areas shows a low probability of a null hypothesis (less than 1 %). The desirability profile constructed at the next stage of the study revealed a critical value of the average area equal to 71255 ha, to which the plots correspond with a 63 % probability. The patterns of distribution of the total forest area by forest areas differ from the normal one. Its general average value is 175000 ha, the area of coniferous forests in forest areas – 6000 ha, deciduous forests – 11,000 ha. In general, the area of coniferous forests in forest areas does not exceed 8000 ha, deciduous forests are concentrated in the range of 4000–10000 and 16000–20000 ha. The distribution of wood stock is also heterogeneous. The total area of forests in forest areas is not evenly distributed, and its distribution is close to the lognormal model. The largest number of forest areas is concentrated in the range of up to 15000 ha. Very rarely there are large plots (more than 30000 ha). Fragmentation of coniferous forests is high. The modal size of the site is from two to four thousand hectares. Large areas of forest are quite rare. The distribution of deciduous forest areas is polymodal and is divided into three parts: up to 2000 ha, 4000–120000 ha, 14000–20000 ha, which indicates the presence of small and medium-sized forests, as well as large woodlands. One forest area is very large (more than 32000 ha). The total supply of liquid wood is concentrated in the range from 0 to 2000 m3. The modal value is within the range from 1500 to 2000 m3. The interval of 3000–3500 m3 is marked. In some cases, very high reserves of wood were found (5500 m3). The stock of liquid deciduous wood, as in the case of areas, is polymodal. There is a modal interval with a very low wood stock of the order of 200–400 m3. There are rare cases of an average stock from 2000 to 3600 m3. The logarithmic dependence of the forest area on the ordinal number of the allotment in the sequence of forest areas ordered in descending order of area is established. The logarithm coefficient depends on the group of forest areas (very large, large, medium, small). A similar pattern is shown for local forest districts. There is a clear violation of the hierarchy of spatial division in the allocation of small forest areas, explained by the economic reason. Hierarchical analysis of the structure of natural aggregation of forest areas by area showed the presence of five nested levels of heterogeneity and, accordingly, five groups of clusters. Depending on the level of division, the cluster analysis identifies nine hierarchical levels of area sizes of forest areas, and the level of their division is proportional to the scale – the smaller, the larger the scale of the study. This should be reflected in information about the state of forest areas in clusters C1–C3 (very large and large) and C4, C5 (medium and small) to develop effective management decisions. © 2021 Tomsk Polytechnic University, Publishing House. All rights reserved.

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  • 1. Version of Record от 2021-04-27

Метаданные

Об авторах
  • O. Pasko
    Agrophysical Research Institute, 14, Grazhdansky avenue, St. Petersburg, Russian Federation
  • A. Zakharchenko
    Tyumen scientific center of the Siberian branch of the Russian Academy of Sciences, 86, Malygin street, Tyumen, 625026, Russian Federation
  • V. Kovyazin
    Saint Petersburg mining University, 2, line 21, Vasilievsky island, Saint Petersburg, 199106, Russian Federation
Название журнала
  • Bulletin of the Tomsk Polytechnic University, Geo Assets Engineering
Том
  • 332
Выпуск
  • 2
Страницы
  • 127-138
Издатель
  • Tomsk Polytechnic University, Publishing House
Тип документа
  • journal article
Тип лицензии Creative Commons
  • CC
Правовой статус документа
  • Свободная лицензия
Источник
  • scopus