2 results

Multivariate Analysis of Erosivity Indices and Rainfall Physical Characteristics Associated with Rainfall Patterns in Rio de Janeiro

Roriz Luciano Machado, Daniel Fonseca de Carvalho, Janaina Ribeiro Costa Rouws, Wilk Sampaio de Almeida, Paulo Tarso Sanches de Oliveira

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

Dilmar Baretta, Carolina Riviera Duarte Maluche Baretta, Elke Jurandy Bran Nogueira Cardoso

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 […]