CO₂ emissions in the Amazon: are bottom-up estimates from land use and cover datasets consistent with top-down estimates based on atmospheric measurements?

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Tejada, Graciela ; Gatti, Luciana V. ; Basso, Luana S. ; Cassol, Henrique L. G. ; Silva-Junior, Celso H. L. ; Mataveli, Guilherme ; Marani, Luciano ; Arai, Egidio ; Gloor, Manuel ; Miller, John B. ; Cunha, Camilla L. ; Domingues, Lucas G. ; Ipia, Alber ; Correia, Caio S. C. ; Crispim, Stephane P. ; Neves, Raiane A. L. ; Von Randow, Celso

• Document type: Journal article
• Source: FRONTIERS IN FORESTS AND GLOBAL CHANGE; v. 6, p. 15-pg., 2023-08-23.

Abstract

Amazon forests are the largest forests in the tropics and play a fundamental role for regional and global ecosystem service provision. However, they are under threat primarily from deforestation. Amazonia's carbon balance trend reflects the condition of its forests. There are different approaches to estimate large-scale carbon balances, including top-down (e.g., CO2 atmospheric measurements combined with atmospheric transport information) and bottom-up (e.g., land use and cover change (LUCC) data based on remote sensing methods). It is important to understand their similarities and differences. Here we provide bottom-up LUCC estimates and determine to what extent they are consistent with recent top-down flux estimates during 2010 to 2018 for the Brazilian Amazon. We combine LUCC datasets resulting in annual LUCC maps from 2010 to 2018 with emissions and removals for each LUCC, and compare the resulting CO2 estimates with top-down estimates based on atmospheric measurements. We take into account forest carbon stock maps for estimating loss processes, and carbon uptake of regenerating and mature forests. In the bottom-up approach total CO2 emissions (2010 to 2018), deforestation and degradation are the largest contributing processes accounting for 58% (4.3 PgCO(2)) and 37% (2.7 PgCO(2)) respectively. Looking at the total carbon uptake, primary forests play a dominant role accounting for 79% (-5.9 PgCO(2)) and secondary forest growth for 17% (-1.2 PgCO(2)). Overall, according to our bottom-up estimates the Brazilian Amazon is a carbon sink until 2014 and a source from 2015 to 2018. In contrast according to the top-down approach the Brazilian Amazon is a source during the entire period. Both approaches estimate largest emissions in 2016. During the period where flux signs are the same (2015-2018) top-down estimates are approximately 3 times larger in 2015-2016 than bottom-up estimates while in 2017-2018 there is closer agreement. There is some agreement between the approaches-notably that the Brazilian Amazon has been a source during 2015-2018 however there are also disagreements. Generally, emissions estimated by the bottom-up approach tend to be lower. Understanding the differences will help improve both approaches and our understanding of the Amazon carbon cycle under human pressure and climate change. (AU)

• FAPESP's process: 18/14006-4 - Estimation of Amazon Greenhouse Gas balances from atmospheric concentrations using inverse modelling of atmospheric transport
• Grantee: Luana Santamaria Basso
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 18/18493-7 - Correlation between greenhouse gases, natural processes and land use in the Amazon Basin region
• Grantee: Graciela Tejada Pinell
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 16/02018-2 - Interannual variation of Amazon Basin greenhouse gas balances and their controls in a warming and increasingly variable climate – Carbam: the Amazon carbon balance long-term study
• Grantee: Luciana Vanni Gatti
• Support Opportunities: Research Program on Global Climate Change - Thematic Grants
• FAPESP's process: 19/25701-8 - The influence of land use and land cover on fine particulate matter (PM2.5µm) emissions from fire in Amazonia and Cerrado biomes integrating modelling and remote sensing
• Grantee: Guilherme Augusto Verola Mataveli
• Support Opportunities: Scholarships in Brazil - Post-Doctoral