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\xa0Reserve of the Holosiivsky National Nature Park revealed the nonlinear nature of its annual dynamics. The\xa0main sources of replenishment of the organic stock of this component of broadleaf forest phytocoenosis\xa0were the active development of herbaceous vegetation in spring and significant leaf rainfall in autumn. At\xa0the same time, significant changes in the processes of accumulation and decomposition of organic matter of\xa0forest bedding occurred under the influence of climatic factors such as temperature and precipitation. The\xa0experimental site was located in moderately moist oak forest ass. Convallario majali-Quercetum roboris\xa0Shevchyk & V. Sl. in Shevchyk & al. 96. The age of the old Quercus robur oak trees, which occupy the first\xa0tier of the forest, exceeds 100 years. The second tier is formed by other broadleaf species, Acer platanoides,\xa0A. campestre, A. tataricum, Carpinus betulus, Fraxinus excelsior and Tilia cordata, up to 30 years old. The\xa0energy reserve was calculated from the dry organic matter content. The obtained data were compared with \xa0meteorological data of the corresponding month of the year and correlation coefficients were calculated.\xa0Correlation analysis confirmed the relationship between climatic factors and the energy potential of forest\xa0bedding. The inverse of the mean force (R = -0.515) shows the relationship between the energy potential of\xa0the forest bedding and the average monthly temperature and the high direct correlation between the energy\xa0potential and the amount of average monthly precipitation (R = 0.755). In general, forest bedding can be\xa0considered an important component of the ecosystem, which responds quickly to external factors and\xa0characterizes the state of the forest ecosystem, and its energy potential can be an effective indicator of forest\xa0ecosystem stability in climate change monitoring.