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Classification of Russia's Forests in Relation to Global Climate Warming

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  • V. Stolbovoi

Abstract

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.

Suggested Citation

  • V. Stolbovoi, 1999. "Classification of Russia's Forests in Relation to Global Climate Warming," Working Papers ir99005, International Institute for Applied Systems Analysis.
    • Handle: RePEc:wop:iasawp:ir99005
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