ENVIROMENTAL VARIABLE INFLUENCE ON THE TREE COMMUNITY STRUCTURE AND FLORISTIC PATTERNS IN A MONTANE ARAUCARIA FOREST FRAGMENT IN LAGES, SANTA CATARINA STATE

• Autor(a) principal: Higuchi, Pedro
• Data de Publicação: 2012
• Outros Autores: Silva, Ana Carolina da, Ferreira, Tiago de Souza, Souza, Sheila Trierveiler de, Gomes, Juliano Pereira, Silva, Karina Montibeller da, Santos, Kristiana Fiorentin dos, Linke, Caroline, Paulino, Patrícia da Silva
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Ciência Florestal (Online)
• Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/5081
• topic: environmental heterogeneity; araucaria forest; multivariate analysis; heterogeneidade ambiental; floresta de araucária; análise multivariada

http://dx.doi.org/10.5902/198050985081This study aimed to characterize the floristic composition and structure of the tree component of a montane Araucaria Forest fragment and to assess the influence of environmental variables on the patterns observed. The study area was located in the municipality of Lages, Santa Catarina state, close to the margin of the Caveiras River. The vegetation and the environmental variables (physical and chemical soils characteristics, relief and canopy cover) were surveyed within 50, 20 x 10m, permanent plots allocated systematically stratified in the forest fragment. All trees with circumference at breast height (CBH) ³ 15,7 cm were measured (CBH and height) and identified. It was calculated the importance value (VI) of the species found, performed the ordination of plots according to the abundance of species through the analysis of NMDS (Nonmetric Multidimensional Scaling) and plotted the "a posterior" the significant environmental variables in the ordination diagram. One thousand, eight hundred and forty-three (1,843) individuals were sampled, which added up to a total basal area of 36.45 m2, distributed in 37 botanical families, 63 genera and 92 species. The three species with the highest values of VI were Araucaria angustifolia (Bertol.) Kuntze, Lithraea brasiliensis Marchand and Jacaranda puberula Cham. The variables that showed the higher correlation with the tree component structure and floristic composition were the pH, the plot highest declivity and the Mg content.