@Article{TejadaGörEspCanOme:2019:EvSpCo,
author = "Tejada, Graciela and G{\"o}rgens, Eric Bastos and
Esp{\'{\i}}rito-Santo, Fernando Del Bon and Cantinho, Roberta
Zecchini and Ometto, Jean Pierre Henry Balbaud",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and {}
and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Evaluating spatial coverage of data on the aboveground biomass in
undisturbed forests in the Brazilian Amazon",
journal = "Carbon Balance and Management",
year = "2019",
volume = "14",
number = "1",
pages = "e11",
month = "Sept.",
keywords = "Amazon, Tropical rain forest, Remote sensing, Carbon, Aboveground
biomass, REDD+.",
abstract = "Background: Brazilian Amazon forests contain a large stock of
carbon that could be released into the atmosphere as a result of
land use and cover change. To quantify the carbon stocks, Brazil
has forest inventory plots from diferent sources, but they are
unstandardized and not always available to the scientifc
community. Considering the Brazil\‑ ian Amazon extension,
the use of remote sensing, combined with forest inventory plots,
is one of the best options to estimate forest aboveground biomass
(AGB). Nevertheless, the combination of limited forest inventory
data and diferent remote sensing products has resulted in
signifcant diferences in the spatial distribution of AGB
estimates. This study evaluates the spatial coverage of AGB data
(forest inventory plots, AGB maps and remote sensing products) in
undisturbed forests in the Brazilian Amazon. Additionally, we
analyze the interconnection between these data and AGB
stakeholders producing the information. Specifcally, we provide
the frst benchmark of the existing feld plots in terms of their
size, frequency, and spatial distribution. Results: We synthesized
the coverage of forest inventory plots, AGB maps and airborne
light detection and rang\‑ ing (LiDAR) transects of the
Brazilian Amazon. Although several extensive forest inventories
have been implemented, these AGB data cover a small fraction of
this region (e.g., central Amazon remains largely uncovered).
Although the use of new technology such as airborne LiDAR cover a
signifcant extension of AGB surveys, these data and forest plots
represent only 1% of the entire forest area of the Brazilian
Amazon. Conclusions: Considering that several institutions
involved in forest inventories of the Brazilian Amazon have
difer\‑ ent goals, protocols, and time frames for forest
surveys, forest inventory data of the Brazilian Amazon remain
unstand\‑ ardized. Research funding agencies have a very
important role in establishing a clear sharing policy to make data
free and open as well as in harmonizing the collection procedure.
Nevertheless, the use of old and new forest inventory plots
combined with airborne LiDAR data and satellite images will likely
reduce the uncertainty of the AGB distribu\‑ tion of the
Brazilian Amazon.",
doi = "10.1186/s13021-019-0126-8",
url = "http://dx.doi.org/10.1186/s13021-019-0126-8",
issn = "1750-0680",
language = "en",
targetfile = "s13021-019-0126-8.pdf",
urlaccessdate = "29 mar. 2024"
}