Abstract
ABSTRACT This study aims at identifying the formation of clusters and to evaluate the influence of chemical attributes in the soil on the groups and species in a riparian forest fragment in Campos de Cima da Serra, Rio Grande do Sul (RS). Thirteen plots (10 × 20 m) were demarcated to carry out the study. Forest inventory data were employed in a multivariate analysis using the Twinspan method and the correlation between vegetation data and chemical characterization of the soil was carried out by Canonical Correspondence Analysis (CCA). Thirty-one species were sampled (DBH ≥ 30 cm) and two floristic groups were identified. The results indicated a structural difference between the two environments, likely due to the steeper slope and less influence of groundwater. Variables such as sulfur, calcium and organic matter were explanatory of the vegetation grouping known as riparian forest of hillside and aluminum, aluminum saturation and copper of riparian forest with flat topography.
Highlights
AND OBJECTIVESThe vegetation found along watercourses is generally referred to as riparian (Brasil, 2012), when this vegetation is not characterized as a continuous forest, it is often referred to as a gallery forest (Rodrigues, 2009)
As important as characterizing floristic and vegetation structure, as well as evidencing groupings of species in natural ecosystems, is the correlation of this information with environmental characteristics. This is possible through sorting methods such as the Canonical Correspondence Analysis (CCA), Principal Component Analysis (PCA) and Detrended Correspondence Analysis (DCA), which were used by Rodrigues et al (2007)
For the arboreal vegetation (Class I, diameter at breast height (DBH) ≥ cm) of the studied forest fragment, species belonging to 27 genera and 19 botanical families were sampled, while for the smaller class size (Class II, 15 ≤ DBH < 30 cm), the richness was represented by 19 species, 19 genera and 12 botanical families (Table 1)
Summary
AND OBJECTIVESThe vegetation found along watercourses is generally referred to as riparian (Brasil, 2012), when this vegetation is not characterized as a continuous forest, it is often referred to as a gallery forest (Rodrigues, 2009). The development of researches related to the phytosociological parameters of the vegetation present in riparian forests is an important subsidy for planning conservation actions and enrichment of these areas In this regard, the use of multivariate techniques such as cluster analysis is an important tool to characterize vegetation in forest fragments, since it aims to cluster elements in homogeneous groups (Felfili & Rezende, 2003). As important as characterizing floristic and vegetation structure, as well as evidencing groupings of species in natural ecosystems, is the correlation of this information with environmental characteristics This is possible through sorting methods such as the Canonical Correspondence Analysis (CCA), Principal Component Analysis (PCA) and Detrended Correspondence Analysis (DCA), which were used by Rodrigues et al (2007). These authors determined preferential habitats for species occurrence which were correlated with the type and characteristics of soils, topography and drainage
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