INFLUENCE OF ENVIRONMENTAL FACTORS IN TREE COMPONENT OF FOREST FRAGMENTS IN SÃO FRANCISCO DE PAULA - RIO GRANDE DO SUL

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Daniele Guarienti Rorato Maristela Machado Araujo Luciane Almeri Tabaldi Thaíse da Silva Tonetto Ana Paula Moreira Rovedderde Adriana Falcão Dutra

Abstract

This study aimed to characterize the influence of the soil and topography in the tree component of the fragments, in around the Divisa Reservoir, in the region of the Campos de Cima da Serra, Southern Brazil. The vegetation survey was conducted in four fragments, with each plot (10 x 20 m) performed the identification and measurement of the circumference at breast height (CAP) of subjects with CAP ≥ 30 cm. The vegetation data were subjected to cluster analysis. In addition, environmental variables were obtained as an average slope of plots and soil samples at 0-20 cm depth. The correlation between vegetation data and environmental data was performed by means of Canonical Correspondence Analysis. The soil physical characteristics showed no influence on the groups formed and species. In the geldings, the constant presence of cattle influenced negatively the structure of the understory, as well as the chemical characteristics of the soil. Aluminium and aluminum saturation have higher influenced on the predominant species of riparian vegetation as influenced copper and sulfur species present in geldings. Species such as Araucaria angustifolia, Eugenia uruguayensis, Blepharocalyx salicifolius, Calyptranthes concinna, Lithraea brasiliensis, Myrsine coriacea, Ocotea pulchella and Sebastiania commersoniana are adapted to riparian and can be used in the recovery and enrichment of these environments.

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How to Cite
RORATO, Daniele Guarienti et al. INFLUENCE OF ENVIRONMENTAL FACTORS IN TREE COMPONENT OF FOREST FRAGMENTS IN SÃO FRANCISCO DE PAULA - RIO GRANDE DO SUL. CERNE, [S.l.], v. 21, n. 4, p. 561-568, apr. 2016. ISSN 2317-6342. Available at: <http://cerne.ufla.br/site/index.php/CERNE/article/view/1105>. Date accessed: 22 sep. 2019.
Keywords
Riparian área, Montane Mixed Ombrophilous, Forest Multivariate analysis.
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