Relation Between Dendrometric Variables and Growth Stress in Eucalyptus

ABSTRACT The objective of this study was to identify eucalyptus clones for the production of sawed timber based on dendrometric variables and longitudinal residual deformation (LRD), analyzing the correlation between these characteristics. 20 Eucalyptus grandis x Eucalyptus urophylla clones with 13 years of age were analyzed. The crown size, diameter at breast height (DBH) and bark thickness were measured. There was a significant difference between the clones for DBH, LRD and bark thickness. There was no significant correlation between DBH and DRL. The correlation was significant between DBH and crown size, its being possible to affirm that crown size affects the diametrical growth of trees. DBH and bark thickness were also significantly correlated, in so far as trees with a wider diameter possess thicker bark. It was possible to select clones with better potential for sawed timber production, that is to say, elevated DBH with a reduced LRD

VARIÁVEIS-CHAVE PARA DETERMINAÇÃO DA QUALIDADE DA ÁGUA EM MICROBACIAS COM PLANTIOS DE EUCALIPTO

This work aimed to identify the main variables affected by natural factors and, or anthropic, which influence the quality of surface water in watersheds, managed for eucalyptus wood production. Water quality was monitored in four watersheds located in Aracruz, northern ES state, Brazil. The physical and chemical characteristics of the water and the potential presence of pesticides used in forest management were evaluated. Samples were collected after the silvicultural activities and, or, rainfall between the months of January to June 2012. Principal component and factor analysis techniques were used to determine the water variables most sensitive and correlated with forestry activities, soil and climatic conditions of the study watersheds. It was possible to obtain four components that explained 73.1% of the total variance. The components were correlated with the variables and defined as factors mineral, solid, acidity, and pedological. These factors explained 31.6; 18.5; 15.6; and 7.4% of the total variance of the data which are directly related to salinity, the presence of suspended solids, acidity and the inorganic carbon content of the soil, respectively. Sulfluramid (insecticide) and glyphosate (herbicide) were not found. In general, it is possible to reduce from 30 to 12 variables that should be monitored for prediction of water quality, maintaining at least 70% of the precision of the estimates. The evaluation of these key variables allows establishing an adequate monitoring system of water quality considering the eucalyptus forestry activities