Brazilian Amazon forest biomass assessment for the modeling of the spatial and temporal heterogeneity of deforestation-driven carbon emissions (INPE-EM)

• Grant number: 13/20616-6
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: March 01, 2014
• End date: August 31, 2016
• Field of knowledge: Agronomical Sciences - Forestry Resources and Forestry Engineering
• Principal Investigator: Jean Pierre Henry Balbaud Ometto
• Grantee: Graciela Tejada Pinell
• Host Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia e Inovação (Brasil). São José dos Campos , SP, Brazil

Abstract

Amazon forest, one of the largest forests in the world, Brazil is the country with the major area of tropical forest of the Amazon basin being also the country with the largest forest carbon stocks of the world. Deforestation released back into to the atmosphere the sequestered carbon considering that the emissions from Land Use Change (LUC) are the second largest anthropogenic source of CO2. In the last decade have been many efforts to estimate the carbon emissions through deforestation however these estimations vary considerably showing high uncertainty where biomass estimates is the largest source. When it comes to compare the biomass maps, the distribution and carbon stocks differ so much that it is almost impossible to determine which one is closer to the reality. In this context, the aim of the study is to implement a Brazilian Amazon forest biomass assessment for the modeling of the spatial and temporal heterogeneity of deforestation-driven carbon emissions (INPE-EM) by stratifying the Brazilian Amazon under IPCC tiers 1 and 2 and at local level tier 3, comparing and combining field forest biomass data (tier 2 and tier 3) with the forest biomass density maps and remote sense data, to get the best accurate spatially explicit biomass estimation and an open biomass data base for the INPE-EM. Biomass data is also relevant for the National Communication of Green House Gasses (GHG) of Brazil where there is a high uncertainty, also for the national strategy under the REDD+.

Scientific publications

(4)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

TEJADA, GRACIELA; DALLA-NORA, ELOI; CORDOBA, DIANA; LAFORTEZZA, RAFFAELE; OVANDO, ALEX; ASSIS, TALITA; AGUIAR, ANA PAULA. Deforestation scenarios for the Bolivian lowlands. Environmental Research, v. 144, n. B, SI, p. 49-63, JAN 2016. (13/20616-6)

TEJADA, GRACIELA; DALLA-NORA, ELOI; CORDOBA, DIANA; LAFORTEZZA, RAFFAELE; OVANDO, ALEX; ASSIS, TALITA; AGUIAR, ANA PAULA. Deforestation scenarios for the Bolivian lowlands. Environmental Research, v. 144, p. 15-pg., 2016-01-01. (13/20616-6)

TEJADA, GRACIELA; GORGENS, ERIC BASTOS; OVANDO, ALEX; OMETTO, JEAN PIERRE. Mapping data gaps to estimate biomass across Brazilian Amazon forests. FOREST ECOSYSTEMS, v. 7, n. 1, APR 22 2020. (13/20616-6, 18/18493-7)

TEJADA, GRACIELA; GORGENS, ERIC BASTOS; ESPIRITO-SANTO, FERNANDO DEL BON; CANTINHO, ROBERTA ZECCHINI; OMETTO, JEAN PIERRE. Evaluating spatial coverage of data on the aboveground biomass in undisturbed forests in the Brazilian Amazon. Carbon Balance and Management, v. 14, n. 1, SEP 3 2019. (18/18493-7, 13/20616-6)