Abstract
This presentation discusses identification of attributes that are considered essential for a development of sustainable forest management practices in the Siberian forests. This goal is accomplished through an analysis of net primary production of phytomass (NPP), which is used to classify the Siberian ecoregions into compact and cohesive NPP performance classes. Rough Sets (RS) analysis is used as a data mining methodology for the evaluation of the Siberian forest database. In order to interpret relationships between various forest characteristics, so called interesting rules are generated on a basis of a reduced problem description.KeywordsRough setsknowledge discoverysustainable developmentforest management
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