DOI: 10.1007/s10584-014-1058-7
Scopus记录号: 2-s2.0-84902240194
论文题名: Amazon forest biomass density maps: Tackling the uncertainty in carbon emission estimates
作者: Ometto J.P. ; Aguiar A.P. ; Assis T. ; Soler L. ; Valle P. ; Tejada G. ; Lapola D.M. ; Meir P.
刊名: Climatic Change
ISSN: 0165-0009
EISSN: 1573-1480
出版年: 2014
卷: 124, 期: 3 起始页码: 545
结束页码: 560
语种: 英语
Scopus关键词: Carbon dioxide
; Deforestation
; Global warming
; Land use
; Spatial distribution
; Uncertainty analysis
; Biomass distribution
; Brazilian Amazon
; Carbon dioxide emissions
; Carbon emissions
; Land-use change
; Remote sensing analysis
; Spatial variations
; Substantial variations
; Biomass
; biomass
; carbon emission
; deforestation
; land use change
; mapping method
; nature-society relations
; soil emission
; spatial distribution
; spatial variation
; tropical forest
; uncertainty analysis
; United Nations Framework Convention on Climate Change
; Biomass
; Carbon Dioxide
; Deforestation
; Land Use
; Amazonas [Brazil]
; Brazil
英文摘要: 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. © 2014 Springer Science+Business Media Dordrecht. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/84944
Appears in Collections: 气候减缓与适应 气候变化事实与影响
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作者单位: Earth System Science Center (CCST), National Institute for Space Research (INPE), Av dos Astronautas 1758, 12227-010 São José dos Campos, SP, Brazil; Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN), Rod. Presidente Dutra, Km 40, 12630-000 Cachoeira Paulista, SP, Brazil; GeoPixel, Rua Euclides Miragaia, 433, São José dos Campos, 12245-902 SP, Brazil; Earth System Science Lab (LabTerra), Department of Ecology, Universidade Estadual Paulista (UNESP), Av. 24A, 1515, 13506-900 Rio Claro, SP, Brazil; Research School of Biology, Australian National University, ACT, ACT, 0200, Australia; School of Geosciences, University of Edinburgh, Edinburgh, EH89XP, United Kingdom
Recommended Citation:
Ometto J.P.,Aguiar A.P.,Assis T.,et al. Amazon forest biomass density maps: Tackling the uncertainty in carbon emission estimates[J]. Climatic Change,2014-01-01,124(3)