Climatic Change

, Volume 124, Issue 3, pp 545–560 | Cite as

Amazon forest biomass density maps: tackling the uncertainty in carbon emission estimates

  • Jean Pierre Ometto
  • Ana Paula Aguiar
  • Talita Assis
  • Luciana Soler
  • Pedro Valle
  • Graciela Tejada
  • David M. Lapola
  • Patrick Meir


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 1990–2009 period, varied from 205 ± 32 Mg ha−1 during 1990–1999, to 216 ± 31 Mg ha−1 during 2000–2009. The biomass values of the deforested areas in 2011 were between 7 and 24 % higher than for the average deforested areas during 1990–1999, 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.


Biomass Carbon Emission Carbon Stock Secondary Forest Wood Density 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We thank Thelma Krug, Ubirajara Freitas, Euler Melo Nogueira, Philip Martin Fearnside, Sassan Saatchi and Alessandro Baccini for providing the biomass spatial data for the production of maps. We are grateful to J. Reid (JWR Associates) for revising the English. We acknowledge financial support and the Planetary Skin Institute (PSI) for initial discussions and for financial support. JPO gratefully acknowledges the Fundação de Amparo a Pesquisa do Estado de São Paulo (FAPESP) through the project n. 2009/52468-0. PM gratefully acknowledges ARC support through FT110100457 and NERC support through NE/J011002/1.


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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Jean Pierre Ometto
    • 1
  • Ana Paula Aguiar
    • 1
  • Talita Assis
    • 1
  • Luciana Soler
    • 2
  • Pedro Valle
    • 3
  • Graciela Tejada
    • 1
  • David M. Lapola
    • 4
  • Patrick Meir
    • 5
    • 6
  1. 1.Earth System Science Center (CCST)National Institute for Space Research (INPE)São José dos CamposBrazil
  2. 2.Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)Cachoeira PaulistaBrazil
  3. 3.GeoPixelSão José dos CamposBrazil
  4. 4.Earth System Science Lab (LabTerra), Department of EcologyUniversidade Estadual Paulista (UNESP)Rio ClaroBrazil
  5. 5.Research School of BiologyAustralian National UniversityCanberraAustralia
  6. 6.School of GeosciencesUniversity of EdinburghEdinburghUK

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