%0 Journal Article
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@nexthigherunit 8JMKD3MGPCW/3ER446E
%@nexthigherunit 8JMKD3MGPCW/46JKC45
%@archivingpolicy denypublisher denyfinaldraft
%@issn 1354-1013
%@usergroup administrator
%@usergroup jefferson
%3 Saatchi_etal_GCB-2007.pdf
%X The amount and spatial distribution of forest biomass in the Amazon basin is a major source of uncertainty in estimating the flux of carbon released from land-cover and land-use change. Direct measurements of aboveground live biomass (AGLB) are limited to small areas of forest inventory plots and site-specific allometric equations that cannot be readily generalized for the entire basin. Furthermore, there is no spaceborne remote sensing instrument that can measure tropical forest biomass directly. To determine the spatial distribution of forest biomass of the Amazon basin, we report a method based on remote sensing metrics representing various forest structural parameters and environmental variables, and more than 500 plot measurements of forest biomass distributed over the basin. A decision tree approach was used to develop the spatial distribution of AGLB for 7 distinct biomass classes of lowland old-growth forests with more than 80% accuracy. AGLB for other vegetation types, such as the woody and herbaceous savanna and secondary forests, was directly estimated with a regression based on satellite data. Results show that AGLB is highest in Central Amazonia and in regions to the east and north, including the Guyanas. Biomass is generally above 300 Mg/ha here except in arcas of intense logging or open floodplains. In Western Amazonia, from the lowlands of Peru, Ecuador, and Colombia to the Andean mountains, biomass ranges from 150-300 Mg/ha. Most transitional and seasonal forests at the southern and northwestern edges of the basin Nave biomass ranging from 100-200 Mg/ha. The AGLB distribution has a significant correlation with the length of the dry season. We estimate that the total carbon in forest biomass of the Amazon basin, including the dead and belowground biomass, is 86 PgC with +_20% uncertainty.
%8 April
%N 4
%@secondarydate 2007
%T Distribution of aboveground live biomass in the Amazon basin
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress vianei@dsr.inpe.br
%@secondarytype PRE PI
%K Amazon, biomass, rainforest, remote sensing, climate.
%@visibility shown
%@group
%@group
%@group DMA-INPE-MCT-BR
%@group DSR-INPE-MCT-BR
%@e-mailaddress deicy@cptec.inpe.br
%( sid.inpe.br/ePrint@80/2005/10.25.12.27
%@secondarykey INPE-15265-PRE/10083
%@copyholder SID/SCD
%2 sid.inpe.br/ePrint@80/2007/08.06.13.44.08
%@affiliation Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
%@affiliation Woods Hole Research Center, Woods Hole,MA, USA
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE/CPTEC)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
%B Global Change Biology
%P 816-837
%4 sid.inpe.br/ePrint@80/2007/08.06.13.44
%D 2007
%V 13
%@doi 10.1111/j.1365-2486.2007.01323.x
%O QUALIS 5
%@progress ePrint update
%A Saatchi, S. S.,
%A Houghton, R. A.,
%A Alvalá, Regina Célia dos Santos,
%A Soares, João Vianei,
%A Yu, Y.,
%@dissemination WEBSCI; PORTALCAPES; MGA.
%@area MET