@Article{OmettoAASVTLM:2014:TaUnCa,
               author = "Ometto, Jean Pierre Henry Balbaud and Aguiar, Ana Paula Dutra de 
                         and Assis, Talita and Soler, Luciana and Valle, Pedro and Tejada, 
                         Graciela and Lapola, David M. and Meir, Patrick",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {} and {} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Amazon forest biomass density maps: tackling the uncertainty in 
                         carbon emission estimates",
              journal = "Climatic Change",
                 year = "2014",
               volume = "124",
               number = "3",
                pages = "545--560",
                month = "June",
                 note = "{Informa{\c{c}}{\~o}es Adicionais: This article is part of a 
                         Special Issue on {"}Third International Workshop on Uncertainty in 
                         Greenhouse Gas Inventories{"} edited by Jean Ometto and Rostyslav 
                         Bun..}",
             keywords = "Amazon, biomass, land use change.",
             abstract = "As land use change (LUC), including deforestation, is a patchy 
                         process, estimating the impact of LUC on carbon emissions requires 
                         spatially accurate underlying data on biomass distribution and 
                         change. The methods currently adopted to estimate the spatial 
                         variation of above- and below-ground biomass in tropical forests, 
                         in particular the Brazilian Amazon, are usually based on remote 
                         sensing analyses coupled with field datasets, which tend to be 
                         relatively scarce and often limited in their spatial distribution. 
                         There are notable differences among the resulting biomass maps 
                         found in the literature. These differences subsequently result in 
                         relatively high uncertainties in the carbon emissions calculated 
                         from land use change, and have a larger impact when biomass maps 
                         are coded into biomass classes referring to specific ranges of 
                         biomass values. In this paper we analyze the differences among 
                         recently-published biomass maps of the Amazon region, including 
                         the official information used by the Brazilian government for its 
                         communication to the United Nation Framework on Climate Change 
                         Convention of the United Nations. The estimated average 
                         pre-deforestation biomass in the four maps, for the areas of the 
                         Amazon region that had been deforested during the 19902009 period, 
                         varied from 205\ ±\ 32 Mg ha\−1 during 
                         19901999, to 216\ ±\ 31 Mg ha\−1 during 
                         20002009. The biomass values of the deforested areas in 2011 were 
                         between 7 and 24 % higher than for the average deforested areas 
                         during 19901999, suggesting that although there was variation in 
                         the mean value, deforestation was tending to occur in increasingly 
                         carbon-dense areas, with consequences for carbon emissions. To 
                         summarize, our key findings were: (i) the current maps of 
                         Amazonian biomass show substantial variation in both total biomass 
                         and its spatial distribution; (ii) carbon emissions estimates from 
                         deforestation are highly dependent on the spatial distribution of 
                         biomass as determined by any single biomass map, and on the 
                         deforestation process itself; (iii) future deforestation in the 
                         Brazilian Amazon is likely to affect forests with higher biomass 
                         than those deforested in the past, resulting in smaller reductions 
                         in carbon dioxide emissions than expected purely from the recent 
                         reductions in deforestation rates; and (iv) the current official 
                         estimate of carbon emissions from Amazonian deforestation is 
                         probably overestimated, because the recent loss of higher-biomass 
                         forests has not been taken into account.",
                  doi = "10.1007/s10584-014-1058-7",
                  url = "http://dx.doi.org/10.1007/s10584-014-1058-7",
                 issn = "0165-0009",
                label = "lattes: 1325667605623244 1 OmettoAASVTLM:2014:TaUnCa",
             language = "en",
           targetfile = "Ometto etal_ClimaticChange(2014).pdf",
        urlaccessdate = "28 abr. 2024"
}