Entropia da informação de variáveis micrometeorológicas de uma floresta de transição em Mato Grosso

Abstract

The objective of this work was to study which micrometeorological variables have the highest information rate in their data, and to compare this information between dry and rainy periods. For this, Shannon's entropy formula was used in a traditional way and in an extensive way. The data were collected from a forest considered to be in transition, for presenting characteristics of cerrado vegetation and Amazon forest. This area belongs to Fazenda Maracaí, approximately 50 km northwest of Sinop, Mato Grosso, Brazil. The evaluated variables were air temperature, soil heat flow, radiation balance, direct solar radiation, incident photosynthetically active radiation, both in the rainy season (February) and in the dry season (June). For the extensive method, the results showed that the air temperature has more information in the rainy season than in the dry season, whereas the other variables occurred the opposite, having more information in the dry season. The traditional entropy method, on the other hand, showed that in the dry period the air temperature has more information when compared to the rainy period, and that the other variables have less information when we make the same comparison.