@Article{SilvaJrHFBRDARSSHA:2020:BeMa33,
author = "Silva Junior, Celso Henrique Leite and Heinrich, Viola H. A. and
Freire, Ana T. G. and Broggio, Igor S. and Rosan, Thais M. and
Doblas, Juan Prieto and Anderson, Liana O. and Rousseau, Guillaume
X. and Shimabukuro, Yosio Edemir and Silva, Carlos A. and House,
Joanna I. and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {University
of Bristol} and {Universidade Federal do Maranh{\~a}o (UFMA)} and
{Tropical Ecosystems and Environmental Sciences lab} and
{University of Exeter} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Tropical Ecosystems and Environmental
Sciences lab – TREES} and {Universidade Estadual do Maranh{\~a}o
(UEMA)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{University of Maryland} and {University of Bristol} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Benchmark maps of 33 years of secondary forest age for Brazil",
journal = "Scientific Data",
year = "2020",
volume = "7",
number = "1",
pages = "e269",
month = "Dec.",
abstract = "The restoration and reforestation of 12 million hectares of
forests by 2030 are amongst the leading mitigation strategies for
reducing carbon emissions within the Brazilian Nationally
Determined Contribution targets assumed under the Paris Agreement.
Understanding the dynamics of forest cover, which steeply
decreased between 1985 and 2018 throughout Brazil, is essential
for estimating the global carbon balance and quantifying the
provision of ecosystem services. To know the long-term increment,
extent, and age of secondary forests is crucial; however, these
variables are yet poorly quantifed. Here we developed a 30-m
spatial resolution dataset of the annual increment, extent, and
age of secondary forests for Brazil over the 19862018 period.
Land-use and land-cover maps from MapBiomas Project (Collection
4.1) were used as input data for our algorithm, implemented in the
Google Earth Engine platform. This dataset provides critical
spatially explicit information for supporting carbon emissions
reduction, biodiversity, and restoration policies, enabling
environmental science applications, territorial planning, and
subsidizing environmental law enforcement.",
doi = "10.1038/s41597-020-00600-4",
url = "http://dx.doi.org/10.1038/s41597-020-00600-4",
issn = "2052-4436",
label = "lattes: 0506851271452550 1 SilvaJrCeRoMoVaMaMa:2020:AmFoEd",
language = "pt",
targetfile = "Silva junior_benchmark.pdf",
urlaccessdate = "20 set. 2024"
}