| Full text | |
| Author(s): Show less - |
Silva Junior, Celso H. L.
[1, 2]
;
Heinrich, Viola H. A.
[3]
;
Freire, Ana T. G.
[4]
;
Broggio, Igor S.
[2, 5]
;
Rosan, Thais M.
[6]
;
Doblas, Juan
[1]
;
Anderson, Liana O.
[2, 7]
;
Rousseau, Guillaume X.
[8]
;
Shimabukuro, Yosio E.
[1]
;
Silva, Carlos A.
[9, 10]
;
House, Joanna I.
[3]
;
Aragao, Luiz E. O. C.
[6, 1, 2]
Total Authors: 12
|
| Affiliation: | [1] Inst Nacl Pesquisas Espaciais INPE, Sao Jose Dos Campos - Brazil
[2] Trop Ecosyst & Environm Sci Lab TREES, Sao Jose Dos Campos - Brazil
[3] Univ Bristol, Bristol, Avon - England
[4] Univ Fed Maranhao UFMA, Programa Posgrad Biodiversidade & Conservacao, Sao Luis, Maranhao - Brazil
[5] Univ Estadual Norte Fluminense Darcy Ribeiro UENF, Ctr Biociencias & Biotecnol, Lab Ciencias Ambientais, Campos Dos Goytacazes - Brazil
[6] Univ Exeter, Exeter, Devon - England
[7] Ctr Nacl Monitoramento & Alertas Desastres Nat Ce, Sao Jose Dos Campos - Brazil
[8] Univ Estadual Maranhao UFMA, Programa Posgrad Agroecol, Sao Luis, Maranhao - Brazil
[9] Univ Maryland, College Pk, MD 20742 - USA
[10] Univ Florida, Gainesville, FL - USA
Total Affiliations: 10
|
| Document type: | Journal article |
| Source: | SCIENTIFIC DATA; v. 7, n. 1 AUG 14 2020. |
| Web of Science Citations: | 1 |
| 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 quantified. Here we developed a 30-m spatial resolution dataset of the annual increment, extent, and age of secondary forests for Brazil over the 1986-2018 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. (AU) | |
| FAPESP's process: | 18/15001-6 - ARBOLES: a trait-based understanding of LATAM forest biodiversity and resilience |
| Grantee: | Luiz Eduardo Oliveira e Cruz de Aragão |
| Support type: | Regular Research Grants |
| FAPESP's process: | 16/02018-2 - Interannual variation of Amazon Basin greenhouse gas balances and their controls in a warming and increasingly variable climate – Carbam: the Amazon carbon balance long-term study |
| Grantee: | Luciana Vanni Gatti |
| Support type: | Research Program on Global Climate Change - Thematic Grants |