Allometry for Juvenile Trees in an Amazonian Forest after Wind Disturbance

Japan Agricultural Research Quarterly
ISSN 00213551
NII recode ID (NCID) AA0068709X
Full text
48-02-12.pdf209.63 KB

Allometric models to estimate the aboveground mass AGM, belowground mass BGM and total mass TM of juvenile trees (stem diameter at breast height DBH ≤ 5 cm, tree height H ≥ 30 cm) in open-canopy terra-firme forests after wind disturbance were developed in the Amazon. For comparison, the allometric models were also developed for a closed-canopy terra-firme forest. After six models had been compared in each forest type, the model with diameter at ground basis DGB and H was selected as the best for estimating AGM and TM, and the model with diameter at ground basis DGB as a single variable was selected as the best for estimating BGM considering the adjusted coefficient of determination and standard deviation of the mean. Models based on the diameter at breast height DBH showed poor correlation with each biomass component compared with those based on DGB for the open-canopy forest. The juvenile trees in the open-canopy forest showed higher AGM and H at a given DGB than in the closed-canopy forest, while the DGBBGM relationships did not differ significantly between the open- and closed-canopy forests. It was concluded that the allometric models used to estimate AGM and TM were unique to each forest type. This would be because light-demanding species show higher allocation to AGM than BGM to be advantageous for competition for light by achieving rapid growth in height.

Date of issued
Creator RIBEIRO Gabriel Henrique Pires de Mello SUWA Rempei MARRA Daniel Magnabosco LIMA Adriano Jos? Nogueira KAJIMOTO Takuya ISHIZUKA Moriyoshi HIGUCHI Niro
Subject

biomass allocation pattern

natural regeneration

wind disturbances

Publisher Japan International Research Center for Agricultural Sciences
Available Online
NII resource type vocabulary Journal Article
Volume 48
Issue 2
spage 213
epage 219
DOI 10.6090/jarq.48.213
Rights Japan International Research Center for Agricultural Sciences
Language eng

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