Modeling the spatial and temporal heterogeneity of deforestation-driven carbon emissions: the INPE-EM framework applied to the Brazilian Amazon

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dc.contributor.authorDutra Aguiar, Ana Paula
dc.contributor.authorOmetto, Jean Pierre
dc.contributor.authorNobre, Carlos
dc.contributor.authorLapola, David Montenegro [UNESP]
dc.contributor.authorAlmeida, Claudio
dc.contributor.authorVieira, Ima Celia
dc.contributor.authorSoares, Joao Vianei
dc.contributor.authorAlvala, Regina
dc.contributor.authorSaatchi, Sassan
dc.contributor.authorValeriano, Dalton
dc.contributor.authorCastilla-Rubio, Juan Carlos
dc.contributor.institutionInstituto Nacional de Pesquisas Espaciais (INPE)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionMuseu Paraense Emilio Goeldi MPEG
dc.contributor.institutionNASA
dc.contributor.institutionPlanetary Skin Inst
dc.date.accessioned2013-09-30T18:48:17Z
dc.date.accessioned2014-05-20T13:57:36Z
dc.date.available2013-09-30T18:48:17Z
dc.date.available2014-05-20T13:57:36Z
dc.date.issued2012-11-01
dc.description.abstractWe present a generic spatially explicit modeling framework to estimate carbon emissions from deforestation (INPE-EM). The framework incorporates the temporal dynamics related to the deforestation process and accounts for the biophysical and socioeconomic heterogeneity of the region under study. We build an emission model for the Brazilian Amazon combining annual maps of new clearings, four maps of biomass, and a set of alternative parameters based on the recent literature. The most important results are as follows: (a) Using different biomass maps leads to large differences in estimates of emission; for the entire region of the Brazilian Amazon in the last decade, emission estimates of primary forest deforestation range from 0.21 to 0.26 similar to Pg similar to C similar to yr-1. (b) Secondary vegetation growth presents a small impact on emission balance because of the short duration of secondary vegetation. In average, the balance is only 5% smaller than the primary forest deforestation emissions. (c) Deforestation rates decreased significantly in the Brazilian Amazon in recent years, from 27 similar to Mkm2 in 2004 to 7 similar to Mkm2 in 2010. INPE-EM process-based estimates reflect this decrease even though the agricultural frontier is moving to areas of higher biomass. The decrease is slower than a non-process instantaneous model would estimate as it considers residual emissions (slash, wood products, and secondary vegetation). The average balance, considering all biomass, decreases from 0.28 in 2004 to 0.15 similar to Pg similar to C similar to yr-1 in 2009; the non-process model estimates a decrease from 0.33 to 0.10 similar to Pg similar to C similar to yr-1. We conclude that the INPE-EM is a powerful tool for representing deforestation-driven carbon emissions. Biomass estimates are still the largest source of uncertainty in the effective use of this type of model for informing mechanisms such as REDD+. The results also indicate that efforts to reduce emissions should focus not only on controlling primary forest deforestation but also on creating incentives for the restoration of secondary forests.en
dc.description.affiliationBrazilian Inst Space Res INPE, Earth Syst Sci Ctr CCST, BR-12227010 Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationUniv Estadual Paulista UNESP, Dept Ecol, Lab Ciência Sistema Terrestre LabTerra, BR-13506900 Rio Claro, SP, Brazil
dc.description.affiliationBrazilian Inst Space Res INPE, Amazon Reg Ctr CRA, BR-66077830 Belem, Para, Brazil
dc.description.affiliationMuseu Paraense Emilio Goeldi MPEG, BR-66040170 Belem, Para, Brazil
dc.description.affiliationBrazilian Inst Space Res INPE, Earth Observat Coordinat OBT, BR-12227010 Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationNASA, Jet Prop Lab, Pasadena, CA 91109 USA
dc.description.affiliationPlanetary Skin Inst, Silicon Valley, CA USA
dc.description.affiliationUnespUniv Estadual Paulista UNESP, Dept Ecol, Lab Ciência Sistema Terrestre LabTerra, BR-13506900 Rio Claro, SP, Brazil
dc.description.sponsorshipPlanetary Skin Institute
dc.format.extent3346-3366
dc.identifierhttp://dx.doi.org/10.1111/j.1365-2486.2012.02782.x
dc.identifier.citationGlobal Change Biology. Hoboken: Wiley-blackwell, v. 18, n. 11, p. 3346-3366, 2012.
dc.identifier.doi10.1111/j.1365-2486.2012.02782.x
dc.identifier.issn1354-1013
dc.identifier.lattes8967344458198707
dc.identifier.urihttp://hdl.handle.net/11449/20526
dc.identifier.wosWOS:000309450300009
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.relation.ispartofGlobal Change Biology
dc.relation.ispartofjcr8.997
dc.relation.ispartofsjr4,731
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectAmazoniaen
dc.subjectcarbon emissionsen
dc.subjectdeforestationen
dc.subjectLUCCen
dc.subjectREDDen
dc.subjectsecondary forestsen
dc.titleModeling the spatial and temporal heterogeneity of deforestation-driven carbon emissions: the INPE-EM framework applied to the Brazilian Amazonen
dc.typeArtigo
dcterms.licensehttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dcterms.rightsHolderWiley-blackwell
unesp.author.lattes8967344458198707
unesp.author.orcid0000-0002-0683-1142[1]
unesp.author.orcid0000-0003-3880-0006[7]
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Biociências, Rio Claropt

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