@AudiovisualMaterial{SaatchiAlva:2004:SpVaFo,
abstract = "Spatial variation in tropical rain forest structure is an
important factor in quantifying the aboveground biomass (AGB) and
carbon stock and extrapolating plot measurements to regional or
global scales. We analyzed structural data collected in 25 ha area
in an intact lowland forest around the flux tower at the Jaru
Reserve in Rondonia, Brazil to address the spatial variability in
stem density, basal area, canopy roughness, and AGB. The transects
were designed prior to the field survery with the help of a one
meter resolution IKONOS image over spectrally homogeneous regions
away from disturbances. Five permanent 50 m x 1000m transects were
installed and Live trees with diameter at breast height (dbh)
¡{\'Y} 35 cm were collected within the 50 m wide transect with an
addition of trees ¡{\'Y} 5 cm in a narrower transect (5 m x 1000
m) in the middle of wider transects. Among the total of 3626 trees
measured on all transects, trees with dbh ¡{\'Y} 5 cm had average
frequencies of 1015 ha-1 and whereas the trees ¡{\'Y} 35 cm had a
frequency of 48 ha-1. Allomertic equations based on dbh were used
to compute canopy height and above ground biomass for various
segments of the transect to estimate the effect of spatial scales
from 100 m to 1 km for roughness and biomass estimation. The
results for five transects are compared and the scaling criteria
are discussed within and across transects.",
affiliation = "{CPTEC-INPE-Cachoeira Paulista-12630-000-SP-Brasil}",
author = "Saatchi, Sassan S. and Alvala, Regina Celia dos Santos",
city = "Brasilia",
conferencename = "Conferencia Cientifica do LBA, 3.",
copyholder = "SID/SCD",
date = "27-29 jul.",
language = "en",
ibi = "cptec.inpe.br/walmeida/2004/08.03.15.17",
url = "http://urlib.net/ibi/cptec.inpe.br/walmeida/2004/08.03.15.17",
targetfile = "3_3 Sassan Saatchi Spatial Variation of Forest.pdf",
title = "Spatial Variation of Forest Structure and Aboveground Biomass in
Jaru Reserve, Rondonia, Brazil",
year = "2004",
urlaccessdate = "23 maio 2024"
}