@Article{TejadaPinellGörgOvanOmet:2020:MaDaGa,
author = "Tejada Pinell, Graciela and G{\"o}rgens, Eric Bastos and Ovando,
Alex and Ometto, Jean Pierre Henry Balbaud",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM)}
and {Centro Nacional de Monitoramento e Alertas de Desastres
Naturais (CEMADEN)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Mapping data gaps to estimate biomass across Brazilian Amazon
forests",
journal = "Forest Ecosystems",
year = "2020",
volume = "7",
number = "1",
pages = "e25",
month = "Dec.",
keywords = "Amazon, Tropical forest, Carbon, Aboveground biomass, Data gaps,
REDD+, Environmental factors.",
abstract = "Background: Tropical forests play a fundamental role in the
provision of diverse ecosystem services, such as biodiversity,
climate and air quality regulation, freshwater provision, carbon
cycling, agricultural support and culture. To understand the role
of forests in the carbon balance, aboveground biomass (AGB)
estimates are needed. Given the importance of Brazilian tropical
forests, there is an urgent need to improve AGB estimates to
support the Brazilian commitments under the United Nations
Framework Convention on Climate Change (UNFCCC). Many AGB maps and
datasets exist, varying in availability, scale and coverage. Thus,
stakeholders, policy makers and scientists must decide which AGB
product, dataset or combination of data to use for their
particular goals. In this study, we assessed the gaps in the
spatial AGB data across the Brazilian Amazon forests not only to
orient the decision makers about the data that are currently
available but also to provide a guide for future initiatives.
Results: We obtained a map of the gaps in the forest AGB spatial
data for the Brazilian Amazon using statistics and differences
between AGB maps and a spatial multicriteria evaluation that
considered the current AGB datasets. The AGB spatial data gap map
represents areas with good coverage of AGB data and, consequently,
the main gaps or priority areas where further biomass assessments
should focus, including the northeast of Amazon State, Amap{\'a}
and northeast of Par{\'a}. Additionally, by quantifying the
variability in both the AGB maps and field data on multiple
environmental factors, we provide valuable elements for
understanding the current AGB data as a function of climate, soil,
vegetation and geomorphology. Conclusions: The map of AGB data
gaps could become a useful tool for policy makers and different
stakeholders working on National Communications, Reducing
Emissions from Deforestation and Degradation (REDD+), or carbon
emissions modeling to prioritize places to implement further AGB
assessments. Only 0.2% of the Amazon biome forest is sampled, and
extensive effort is necessary to improve what we know about the
tropical forest.",
doi = "10.1186/s40663-020-00228-1",
url = "http://dx.doi.org/10.1186/s40663-020-00228-1",
issn = "2095-6355",
language = "en",
targetfile = "tejada_mapping.pdf",
urlaccessdate = "13 jun. 2024"
}