ESTIMATION OF THE FOREST-GROWING POTENTIAL OF LANDS BY SOIL INDICATORS.

Autor: Svitlana, Raspopina, Anastasiia, Suska, Vitalii, Nazarenko, Anna, Opashniuk
Předmět:
Zdroj: Journal Baltic Surveying; 2023, Vol. 18, p43-49, 7p
Abstrakt: The indirect approach is mainly used to assess the forest-growing potential of lands in the forestry of Ukraine. For these purposes, a comparative ecological (forest typological) method is used to assess soil conditions according to their forest growth effect. The species composition of the forest stand and its productivity are the main indicators of the forest growth effect. The undoubted advantages of this method are high forestry value, low labor intensity and cost, and the main disadvantages are the subjectivity of determining the types of forest conditions (especially derivatives and artificial plantations), its insufficient environmental sensitivity, and the difficulty of applying to places where there is no forest vegetation. The aim of the study was to quantify the quality of forest land and develop markers of the forest-growing potential of soils. The studies were carried out by synthesizing two methodological approaches - forest typological as the leading method for assessing the potential of habitats and direct study of soils (field and analytical). The package of markers was developed to assess forest potential of soils based on the establishment of a correlation between the productivity of forest stands (height, quality class) and soil indicators (thickness of the humus part of the profile, pH, content of clay particles, humus, total and exchange forms of N, P, K, Ca, Mg). The package of markers depends on the soil type and consists of the following soil indicators: the content of particles of physical clay (d<0.01 mm), the thickness of the humus part, as well as the content of humus, N, Ca, K, Mg. A gradual increase in their quantitative values leads to increase in the forest productivity of the soil and, as a result, the productivity of the forest stand. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index