Classification of Russia's Forests in Relation to Global Climate Warming.
This study involves investigating the sensitivity to temperature of Russia's forest communities. Factors taken into consideration were mean annual temperature; standard deviation and temperature tolerance limits covering forests across the country. A new numerical classification of forests, related to predicted global climate warming (GCW) has been developed based on cluster analyses. New temperature-forest associations have been interpreted in order to develop a framework for the adaptation strategy to a predicted GCW. Quantitative parameters of the classification allow for the assessment of the magnitude, spatial and temporal dynamics of the GCW affect on forests. As a result, it is suggested that developed classification in forest inventory and management systems should be introduced in Russia.
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