| Full text | |
| Author(s): Show less - |
Pessoa, Ana Carolina M.
[1]
;
Anderson, Liana O.
[2]
;
Carvalho, Nathalia S.
[1]
;
Campanharo, Wesley A.
[1]
;
Silva Junior, Celso H. L.
[1]
;
Rosan, Thais M.
[3]
;
Reis, Joao B. C.
[2]
;
Pereira, Francisca R. S.
[1]
;
Assis, Mauro
[4]
;
Jacon, Aline D.
[5]
;
Ometto, Jean P.
[5]
;
Shimabukuro, Yosio E.
[1]
;
Silva, Camila V. J.
[6]
;
Pontes-Lopes, Aline
[1]
;
Morello, Thiago F.
[7]
;
Aragao, Luiz E. O. C.
[1, 3]
Total Authors: 16
|
| Affiliation: | [1] Natl Inst Space Res, Remote Sensing Div, Av Astronautas 1758, BR-12227010 Sao Jose Dos Campos, SP - Brazil
[2] Natl Ctr Monitoring & Early Warning Nat Disasters, Technol Pk Sao Jose dos Campos, BR-12247016 Sao Jose Dos Campos, SP - Brazil
[3] Univ Exeter, Coll Life & Environm Sci, Amory Bldg, Rennes Dr, Exeter EX4 4RJ, Devon - England
[4] Atrium Forest Consulting, R Tiradentes 435, BR-13400760 Piracicaba, SP - Brazil
[5] Natl Inst Space Res, Earth Syst Sci Ctr, Av Astronautas 1758, BR-12227010 Sao Jose Dos Campos, SP - Brazil
[6] Univ Lancaster, Lancaster Environm Ctr, Lancaster LA1 4YQ - England
[7] Fed Univ ABC, Ctr Engn Modeling & Appl Social Sci CECS, Alameda Univ S-N, BR-09606045 Sao Bernardo Do Campo, SP - Brazil
Total Affiliations: 7
|
| Document type: | Journal article |
| Source: | REMOTE SENSING; v. 12, n. 23 DEC 2020. |
| Web of Science Citations: | 1 |
| Abstract | |
Carbon (C) emissions from forest fires in the Amazon during extreme droughts may correspond to more than half of the global emissions resulting from land cover changes. Despite their relevant contribution, forest fire-related C emissions are not directly accounted for within national-level inventories or carbon budgets. A fundamental condition for quantifying these emissions is to have a reliable estimation of the extent and location of land cover types affected by fires. Here, we evaluated the relative performance of four burned area products (TREES, MCD64A1 c6, GABAM, and Fire\_cci v5.0), contrasting their estimates of total burned area, and their influence on the fire-related C emissions in the Amazon biome for the year 2015. In addition, we distinguished the burned areas occurring in forests from non-forest areas. The four products presented great divergence in the total burned area and, consequently, total related C emissions. Globally, the TREES product detected the largest amount of burned area (35,559 km(2)), and consequently it presented the largest estimate of committed carbon emission (45 Tg), followed by MCD64A1, with only 3% less burned area detected, GABAM (28,193 km(2)) and Fire\_cci (14,924 km(2)). The use of Fire\_cci may result in an underestimation of 29.54 +/- 3.36 Tg of C emissions in relation to the TREES product. The same pattern was found for non-forest areas. Considering only forest burned areas, GABAM was the product that detected the largest area (8994 km(2)), followed by TREES (7985 km(2)), MCD64A1 (7181 km(2)) and Fire\_cci (1745 km(2)). Regionally, Fire\_cci detected 98% less burned area in Acre state in southwest Amazonia than TREES, and approximately 160 times less burned area in forests than GABAM. Thus, we show that global products used interchangeably on a regional scale could significantly underestimate the impacts caused by fire and, consequently, their related carbon emissions. (AU) | |
| FAPESP's process: | 19/05440-5 - Agri-environmental policy and agricultural fires in the Amazon: an economic analysis |
| Grantee: | Thiago Fonseca Morello Ramalho da Silva |
| Support Opportunities: | 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 Opportunities: | Research Program on Global Climate Change - Thematic Grants |