Use este identificador para citar ou linkar para este item: http://repositorio.inpa.gov.br/handle/123/1674
Título: Allometric models for estimating above- and below-ground biomass in Amazonian forests at São Gabriel da Cachoeira in the upper Rio Negro, Brazil
Autor(es): LIMA, ADRIANO JOSÉ NOGUEIRA
ISHIZUKA, MORIYOSHI
Niro Higuchi
SUWA, REMPEI
DE MELLO RIBEIRO, GABRIEL HENRIQUE PIRES
KAJIMOTO, TAKUYA
DOS SANTOS, JOAQUIM
DA SILVA, ROSEANA PEREIRA
DE SOUZA, CACILDA ADELIA SAMPAIO
DE BARROS, PRISCILA CASTRO
NOGUCHI, HIDEYUKI
Assunto: Carbono
Mudanças Climáticas
Inventário Florestal
ISSN: 0378-1127
Revista: Forest Ecology and Management
Volume: 277
Resumo: Precise estimation of biomass at a regional scale is required for evaluating forest carbon stocks throughout the Amazon. We examined six types of allometric models to identify the best estimator of biomass in primary forests (terra firme) in the northwestern sector of the Brazilian Amazon. We also tested six regression models for estimating tree height. We developed each allometric model using measurements of 101 trees excavated in a primary forest distributed along the upper Rio Negro. A simple power function with stem diameter at breast height D as a single variable was selected as the best model for estimating each biomass component, i.e. above-ground total mass AGW, below-ground total mass BGW, and whole individual mass. Among models developed to estimate tree height H from D, we selected a regression model with a coefficient corresponding to an asymptotic height as the best fit. The D-AGW relationship at our study site differed significantly from models developed previously for other regions of the Amazon. We explain this regional variation in part by regional differences in D-H relationships of sample trees. The D-BGW relationship at our site also differed significantly from that in the central Amazon. However, AGW-BGW relationships were consistent between the upper Rio Negro forest and other forests in the central Amazon, in that the BGW-AGW ratio was constant as 0.136 regardless of tree size. On the basis of D-based allometry and census data from 23 plots established in the upper Rio Negro region, we estimated a stand-level total biomass (dry mass) of 252.6 Mg ha(-1). This estimate is at least 73% lower than the potential stand biomass for the region previously suggested by several meta-analyses. (C) 2012 Elsevier B.V. All rights reserved.
URI: http://repositorio.inpa.gov.br/handle/123/1674
ISSN: 0378-1127
DOI: https://dx.doi.org/10.1016/j.foreco.2012.04.028
Aparece nas coleções:Coordenação de Dinâmica Ambiental (CDAM)

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