Assessing the Sustainability of Irati National Forest Through Fuzzy Logic

ABSTRACT

This research has evaluated the sustainability of Forests by means of indicators processed in Fuzzy Logic. We used data extracted from forest inventories performed at FLONA in Irati-PR. By the construction and combination of indicators such as: INA - Increase the Number of Trees; CFL - Forest Growth; TCF - Forest Growth Trend we obtained the indicator relative to Sustainable Forest (SFL) under study. The main results showed that the indicators INA, CFL and TCF revealed, respectively, a low increase in the number of the trees, an average growth of the forest, as well as an average growth to forest growth trend. Finally, the forest fragment analyzed resulted in a 'balanced state', when regarding sustainability. The objectives of this research were achieved and the results demonstrated consistency with the real situation.

Keywords:
units of conservation; forest indicators; decision making