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Net carbon exchanges in the Amazon conciliating satellite data, ground data, and atmospheric profile in a decade of observation using bottom-up approach

Grant number: 20/02656-4
Support Opportunities:Scholarships abroad - Research Internship - Post-doctor
Effective date (Start): April 24, 2021
Effective date (End): April 01, 2022
Field of knowledge:Physical Sciences and Mathematics - Geosciences
Principal Investigator:Luciana Vanni Gatti
Grantee:Henrique Luis Godinho Cassol
Supervisor: Mathew Williams
Host Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia e Inovações (Brasil). São José dos Campos , SP, Brazil
Research place: University of Edinburgh, Scotland  
Associated to the scholarship:18/14423-4 - Modeling a decade of carbon gross emissions from forest fires in the Amazon: Conciliating the bottom-up and top-down views of the problem, BP.PD

Abstract

Carbon emissions from fires (C-fire) account roughly for one-tenth of the global annual C emissions, wherein Amazon has a great role due to the rapid land-use change (LUC) in the last decades. Recent researches have shown an increase of 11% global fires emissions by 1997-2016. South America and especially the Brazilian Amazon have also experienced an increase in forest fires, which has been significant following the years of the El Niño and/or La Niña events (Werf et al. 2017; Aragão et al. 2018). In these years, fire emission from tropical forest may surpass the emissions from grassland and savannas, becoming a two-way trouble for the ecosystem. First, these forests are not adapted to fire; therefore we do not know how much carbon is released to the atmosphere after burn neither what are the impact of subsequent tree mortality on residence times of C flux. Second, we still do not know how long it takes the forest to recover after a fire in terms of carbon stocks. Therefore, we will use the CARbon Data Model framework (CARDAMOM) carbon assimilation model to improve the understanding of net carbon balance in post-fires degradation areas using satellite data, ground observations, literature, and atmospheric profiles of CO2 in a bottom-up approach. The main objective of this BEPE is to run the CARDAMOM model incorporating realistic parameters of burned area, carbon exchange, forest restoration, and other fire-related processes throughout the Amazon to adjust them to the measured annual CO2 profiles since 2010. Once it has established good model performance, the candidate will be able to run scenarios, e.g., of precipitation reduction and temperature increase, on the model data in order to understand the dynamics of carbon budget due to climate change in the Amazon. The CARDAMOM has been developed at the University of Edinburgh by Dr. Mathew Williams and his collaborators; therefore it will be necessary spend, with this proposal, a year to learn and apply the model in partnership with his group. We hope that this internship collaborate not only to pursue the candidate's objective, but also to better understand the role of forest fires over the Amazon in the global carbon cycle. (AU)

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Scientific publications
(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)
BASSO, LUANA S.; MARANI, LUCIANO; GATTI, V, LUCIANA; MILLER, JOHN B.; GLOOR, MANUEL; MELACK, JOHN; CASSOL, HENRIQUE L. G.; TEJADA, GRACIELA; DOMINGUES, LUCAS G.; ARAI, EGIDIO; et al. Amazon methane budget derived from multi-year airborne observations highlights regional variations in emissions. COMMUNICATIONS EARTH & ENVIRONMENT, v. 2, n. 1, . (08/58120-3, 20/02656-4, 18/14423-4, 11/51841-0, 19/23654-2, 18/14006-4, 16/02018-2, 19/21789-8, 11/17914-0, 18/18493-7)
MATAVELI, GUILHERME A. V.; DE OLIVEIRA, GABRIEL; SEIXAS, HUGO T.; PEREIRA, GABRIEL; STARK, SCOTT C.; GATTI, LUCIANA V.; BASSO, LUANA S.; TEJADA, GRACIELA; CASSOL, HENRIQUE L. G.; ANDERSON, LIANA O.; et al. Relationship between Biomass Burning Emissions and Deforestation in Amazonia over the Last Two Decades. FORESTS, v. 12, n. 9, . (20/02656-4, 18/14006-4, 16/02018-2, 18/18493-7, 20/08916-8, 19/25701-8, 18/14423-4, 19/23654-2)

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