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THE RELATION BETWEEN THE EARTH MAGNETIC FIELD DATA AND FOREST TAXATION INDICES IN OGRE REGION IN LATVIA
Abstract
The research is carried out to obtain the connection between the Earth magnetic field data and forest stand indices in Latvian forests. The hypothesis has been examined that magnetic field influences the growth of trees. The research object ? Ogre Region was selected according to the magnetic field deviation's map of Latvia. The data of Earth magnetic field measurements via satellite and the forest taxation indices were used ? there was designed the distribution of forest subquarters in belts of magnetic field radiation's intensity. The nonparametric correlation analysis and methods of descriptive statistics were used for data interpretation. A positive weak statistically significant correlation between the stand volume and parametres of Earth's magnetic field was obtained for pine and birch in Hylocomiosa forest site type and for birch in Caricoso-phragmitosa forest site type. The most even fluctuation's of tree stand's volume with a trend of increment by different magnetic field parametres indicate pine, spruce and birch in Hylocomiosa forest site type. The most unstable fluctuations of the forest stand with upward stock at various magnetic field parameters are shown in pine, spruce, birch in Hylocomiosa. The pine Hylocomiosa in the 4100 nT shows about 470 m3 of large stock; Pine in the Caricoso-phragmitosa - at 4100nT ? 330 m3; birch in the Caricoso-phragmitosa at 4000 nT ? 252 m3. The most pronounced stock fluctuations were found in spruce Caricoso-phragmitosa, the largest stock reaching about 320 m3 at 2000 nT and 3000 nT, whereas from 3000 nT to 4100 nT, a sharp drop in stock - up to 50 m3. Approximately 260 m3 appearing at 4000 nT. Also in birch Caricoso-phragmitosa the results in the graph show rapid jumps, reaching 1000 nT at about 183 m3, at 4000 nt ? 160 m3. There will be research continued about the connection between the magnetic field and tree stand volume and other forest taxation indices in different forest site types and land categories.
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