Multivariate Analysis of Erosivity Indices and Rainfall Physical Characteristics Associated with Rainfall Patterns in Rio de Janeiro
21/Nov/2017
ABSTRACT The identification of areas with greater erosive potential is important for planning soil and water conservation. The objective of this study was to evaluate the physical characteristics of rainfall events in the state of Rio de Janeiro, Brazil, and their interactions with rainfall patterns through multivariate statistical analysis. Rainfall depth, kinetic energy, 30-min intensity (I30), duration of rainfall events, and the erosivity indices KE >10, KE >25, and EI30 in 36 locations (stations) were subjected to principal component analysis […]
Multivariate analysis of soil microbiological and chemical attributes in forests with Araucaria angustifolia
01/Dec/2008
Araucaria angustifolia is an endangered tree species in Brazil and little is known about the soil attributes of these pine forests. This study was carried out to identify differences between natural and reforested Araucaria areas, in terms of soil microbiological and chemical attributes, with multivariate canonical discriminant analysis (CDA) and canonical correlation analysis (CCA). The studied areas included: 1. native forest with Araucaria (NF); 2. Araucaria reforestation (R); 3. Araucaria reforestation burnt by an accidental fire (RF); and 4. native […]
