@InProceedings{LeitoldKellMortShim:2015:LaVaFo,
author = "Leitold, Veronika and Keller, Michael and Morton, Douglas C and
Shimabukuro, Yosio Edemir",
affiliation = "{} and {} and {} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Landscape-scale variation in forest structure and biomass along an
elevation gradient in the Atlantic Forest of the Serra do Mar,
Brazil",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "1192--1199",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Landscape-scale quantification of forest structure, disturbance
patterns and biomass distribution can improve our understanding of
the environmental controls on the functioning of forested
ecosystems. Assessing the detailed structure of the complex
tropical forest canopy is a challenging task, especially in areas
of steep topography where field access is limited. We used
airborne lidar (light detection and ranging) data to describe the
landscape-scale variation in canopy structure and gap distribution
in a 1000-ha area along an elevation gradient from 0 to 1200m in
the Atlantic Forest of the Serra do Mar in southeast Brazil. Mean
canopy heights (MCHs) were greatest (21-22m) at intermediate
elevations (200-700m) in the submontane forest where terrain slope
was also the steepest (~40º). Canopy gap fraction was highest
(~30%) and MCH lowest (~16m) in the montane forest areas
(900-1100m) on flatter sites atop the plateau (~24º slopes). We
used forest inventory data from nine 1-ha permanent field plots
(PFPs) within the study area to assess aboveground biomass (AGB)
stocks and changes. We established regression models based on
lidar-derived canopy structure and field-based biometry data, and
used these to extrapolate AGB predictions across the landscape.
Comparing canopy height and disturbance distributions in the PFPs
with the distributions across the broader landscape, we found that
submontane PFPs showed closer correspondence with their
surrounding areas, while montane PFPs consistently overestimated
landscape-scale canopy height (thus AGB pools) and underestimated
gap fraction (therefore AGB changes).",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "220",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM47RF",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM47RF",
targetfile = "p0220.pdf",
type = "LIDAR: sensores e aplica{\c{c}}{\~o}es",
urlaccessdate = "28 abr. 2024"
}