Use este identificador para citar ou linkar para este item: https://repositorio.inpa.gov.br/handle/1/19343
Título: Wood density for estimating forest biomass in Brazilian Amazonia
Autor: Fearnside, Philip Martin
Palavras-chave: Biomass Estimation
Forest Biomass
Wood Density
Brazil, Amazonas State, Manaus
Brazil, Amazonia
Data do documento: 1997
Revista: Forest Ecology and Management
É parte de: Volume 90, Número 1, Pags. 59-87
Abstract: Reliable estimates of the biomass of Amazonian forest are needed for calculations of greenhouse gas emissions from deforestation. Interpretation of forest volume data for the region is the most practical means of obtaining representative biomass estimates. The density of the wood used in converting volume data to biomass is a key factor affecting estimates of biomass and of emissions. Interpreting density data for biomass purposes, which is different from the normal use of these data for commercial timber uses, is complicated by a variety of factors. There is variability among individuals of a given species, among geographic locations, and within the vertical and radial dimensions of individuals trees. Considerable confusion has resulted from the variety of ways that densities are reported with respect to humidity at time of the weight and volume measurements used in calculating the density value. The most appropriate measure for biomass is basic density, or oven-dry weight divided by wet volume. Corrections for hollow trees and the position of samples within trunks are also needed. Here, available data are brought together for 268 species of trees, with an unweighted mean basic density of 0.65 (range 0.14-1.21). Weighting the mean by the volume of wood of each species in a sample of vegetation types, and weighting the means of the vegetation types by the extent of each in the region, yields a mean density of 0.69. Although the weighted mean density calculated here has a much firmer empirical basis than previously available estimates for this parameter, uncertainty is still considerable, particularly as a result of doubt concerning taxonomic identifications in the forestry surveys. Were the wood density of a small but botanically well-studied plot near Manaus to apply to the region as a whole, Brazil's 1990 emissions of greenhouse gases would be higher by an amount equivalent to two-thirds of the country's annual emission from fossil fuels.
DOI: 10.1016/S0378-1127(96)03840-6
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