Influence of climatic factors on the energy potential of broadleaf phytocoenosis forest bedding

Abstract
The study of the energy potential of forest bedding in the deciduous forest areas of the “Lisnyky” Nature Reserve of the Holosiivsky National Nature Park revealed the nonlinear nature of its annual dynamics. The main sources of replenishment of the organic stock of this component of broadleaf forest phytocoenosis were the active development of herbaceous vegetation in spring and significant leaf rainfall in autumn. At the same time, significant changes in the processes of accumulation and decomposition of organic matter of forest bedding occurred under the influence of climatic factors such as temperature and precipitation. The experimental site was located in moderately moist oak forest ass. Convallario majali-Quercetum roboris Shevchyk & V. Sl. in Shevchyk & al. 96. The age of the old Quercus robur oak trees, which occupy the first tier of the forest, exceeds 100 years. The second tier is formed by other broadleaf species, Acer platanoides, A. campestre, A. tataricum, Carpinus betulus, Fraxinus excelsior and Tilia cordata, up to 30 years old. The energy reserve was calculated from the dry organic matter content. The obtained data were compared with meteorological data of the corresponding month of the year and correlation coefficients were calculated. Correlation analysis confirmed the relationship between climatic factors and the energy potential of forest bedding. The inverse of the mean force (R = -0.515) shows the relationship between the energy potential of the forest bedding and the average monthly temperature and the high direct correlation between the energy potential and the amount of average monthly precipitation (R = 0.755). In general, forest bedding can be considered an important component of the ecosystem, which responds quickly to external factors and characterizes the state of the forest ecosystem, and its energy potential can be an effective indicator of forest ecosystem stability in climate change monitoring.