%0 Journal Article
%2 sid.inpe.br/plutao/2020/09.02.14.48.15
%4 sid.inpe.br/plutao/2020/09.02.14.48
%3 Silva junior_benchmark.pdf
%8 Dec.
%9 journal article
%@issn 2052-4436
%A Silva Junior, Celso Henrique Leite,
%A Heinrich, Viola H. A.,
%A Freire, Ana T. G.,
%A Broggio, Igor S.,
%A Rosan, Thais M.,
%A Doblas, Juan Prieto,
%A Anderson, Liana O.,
%A Rousseau, Guillaume X.,
%A Shimabukuro, Yosio Edemir,
%A Silva, Carlos A.,
%A House, Joanna I.,
%A Aragão, Luiz Eduardo Oliveira e Cruz de,
%@secondarytype PRE PI
%B Scientific Data
%D 2020
%F lattes: 0506851271452550 1 SilvaJrCeRoMoVaMaMa:2020:AmFoEd
%N 1
%P e269
%T Benchmark maps of 33 years of secondary forest age for Brazil
%V 7
%X 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.
%@area SRE
%@electronicmailaddress celsohlsj@gmail.com
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress juan.doblas@inpe.br
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress yosio.shimabukuro@inpe.br
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress luiz.aragao@inpe.br
%@documentstage not transferred
%@group SER-SRE-SESPG-INPE-MCTIC-GOV-BR
%@group
%@group
%@group
%@group
%@group SER-SRE-SESPG-INPE-MCTIC-GOV-BR
%@group
%@group
%@group DIDSR-CGOBT-INPE-MCTIC-GOV-BR
%@group
%@group
%@group DIDSR-CGOBT-INPE-MCTIC-GOV-BR
%@dissemination PORTALCAPES; SCOPUS.
%@orcid 0000-0002-1052-5551
%@orcid
%@orcid
%@orcid 0000-0002-9045-9135
%@orcid
%@orcid
%@orcid
%@orcid
%@orcid
%@orcid
%@orcid 0000-0003-4576-3960
%@usergroup lattes
%@usergroup simone
%@nexthigherunit 8JMKD3MGPCW/3ER446E
%@nexthigherunit 8JMKD3MGPCW/3F3NU5S
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JJCQ
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation University of Bristol
%@affiliation Universidade Federal do Maranhão (UFMA)
%@affiliation Tropical Ecosystems and Environmental Sciences lab
%@affiliation University of Exeter
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Tropical Ecosystems and Environmental Sciences lab – TREES
%@affiliation Universidade Estadual do Maranhão (UEMA)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation University of Maryland
%@affiliation University of Bristol
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@versiontype publisher
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@doi 10.1038/s41597-020-00600-4