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Advisor(s)
Abstract(s)
There is considerable interest today in estimating the biomass of trees and
forests for practical forestry issues, sustainable management, carbon and nutrient flux
and other scientific purposes. For these reasons, aboveground biomass was studied in
Castanea sativa high forest stands located in the Northwest of Portugal. The most
widely used procedure for stand biomass evaluation is the regression estimation
method, in which the stand biomass is predicted through the sum of the predicted biomass
of individual trees. In this study, thirty-four old sweet chestnut trees, located in
three stands, were felled, measured and weighted to evaluate the aboveground biomass
by components. Several linear and nonlinear equations were fitted by the least
squares method to select a model that predicts total tree aboveground biomass as well
as bole-wood, bole-bark, branches, leaves and flowers biomass components as a
function of DBH (diameter at breast height) and total height. For each component the
model that fit better was selected.
Description
Keywords
Sweet chestnut Aboveground biomass Allometric models
Citation
Patrício, Maria do Sameiro; Monteiro, Maria do Loreto; Tomé, Margarida (2005). Biomass equations for Castanea sativa high forest in the Northwest of Portugal. Acta Horticulturae. ISSN 0567-7572. 693, p. 727-732
Publisher
International Society of Horticultural Science (ISHS)