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Forecast of Growth and Development of Modal Fir Stands in the Lower Angara Region

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The paper presents an assessment of the growth dynamics of the modal fir plantations in the Lower Angara region. At present, a vast area of fir forests in the Lower Angara region is characterised by a significant decrease in sustainability due to periodic forest fires, insect pests outbreaks and diseases, which lead to their natural degradation and death. However, the intensity of coniferous stand growth in certain forest site characteristics persists in the long term. Therefore, creating regression models of forest growth and development involving the identification of site conditions is very important both from a practical point of view and for environmental monitoring. The materials of the mass inventory of 3491 stands served as the initial data for studying the processes of fir plantations natural growth. The Hoerl Model function is suitable for the best approximation of stand growth since it is characterised by high levelling factor (from 0.970 to 0.987) and a small standard error (not exceeding 7%). As a result of the research, there have been constructed sketches of the growth rate tables for the modal Siberian fir stands of the third bonitet class of the forb and mossy groups of forest types.
Title: Forecast of Growth and Development of Modal Fir Stands in the Lower Angara Region
Description:
The paper presents an assessment of the growth dynamics of the modal fir plantations in the Lower Angara region.
At present, a vast area of fir forests in the Lower Angara region is characterised by a significant decrease in sustainability due to periodic forest fires, insect pests outbreaks and diseases, which lead to their natural degradation and death.
However, the intensity of coniferous stand growth in certain forest site characteristics persists in the long term.
Therefore, creating regression models of forest growth and development involving the identification of site conditions is very important both from a practical point of view and for environmental monitoring.
The materials of the mass inventory of 3491 stands served as the initial data for studying the processes of fir plantations natural growth.
The Hoerl Model function is suitable for the best approximation of stand growth since it is characterised by high levelling factor (from 0.
970 to 0.
987) and a small standard error (not exceeding 7%).
As a result of the research, there have been constructed sketches of the growth rate tables for the modal Siberian fir stands of the third bonitet class of the forb and mossy groups of forest types.

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