Equações alométricas para estimar a biomassa acima do solo em floresta plantada com tachi-branco (Tachigali vulgaris), Dom Eliseu/ Pará.

Abstract

The biomass study in tropical FORESTS has played a major role in relation to the contribution of ecosystems to the global carbon cycle. Many articles suggest planting Tachigali vulgaris (Taxi-White) for carbon capture projects in the Amazon and the generation of carbon credits. However little is known how to estimate the biomass increment and how different spacing interferes with the local microclimate. The present study was conducted at Genesis farm in Dom Eliseu city, Pará State, aimed to determine allometric curves for accumulation of aboveground biomass using destructive methods, and the carbon in the biomass and consequent micrometeorological variations in Taxi-White in spacing 4mx2m, 4mx3m and 4mx4m, with population density ranging from 208 to 403 plants per plot. For the equations used a database of 54 trees of a single species, in which were measured variables total height, diameter at breast height (DBH), each sample tree was felled and split the trunk components, branches, and leaves. The fresh weight of each component was obtained in place, and green samples were collected, weighed and brought to the laboratory in Bethlehem to oven drying to constant weight. 17 models of regression equations were used commonly used in the literature, being chosen equations with a higher coefficient of determination (R²). The stock biomass and shoot carbon were observed in the denser spacing, ie, 4mx4m, focusing mainly on the tree trunk. The distribution of the moisture content of classes was: leaves > branches > trunk. The trunk segment is divided according to their height into steps (BASE, DAP, 25%, 50%, 75% and 100% of the total stem height, DAP had a higher moisture content than the other compartments. The temperature was greater spacing with lower density (4mx4m) and the relative humidity had its highest values for spacing with higher densities (4mx2m). The months of September and October showed higher temperature and lower relative humidity, however, the months of November and December, showed lower temperature and higher relative moisture.