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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

Grant number: 16/02018-2
Support type:Research Program on Global Climate Change - Thematic Grants
Duration: September 01, 2017 - August 31, 2022
Field of knowledge:Physical Sciences and Mathematics - Geosciences
Principal Investigator:Luciana Vanni Gatti
Grantee:Luciana Vanni Gatti
Home Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia, Inovações e Comunicações (Brasil). São José dos Campos , SP, Brazil
Co-Principal Investigators:Luiz Eduardo Oliveira e Cruz de Aragão
Assoc. researchers: Allan Scott Denning ; Ana Paula Dutra de Aguiar ; Carlos Augusto Bauer Aquino ; Caroline Bentley Alden ; Celso von Randow ; Christiane Silvestrini de Morais ; Demerval Soares Moreira ; Elliot Campbell ; Emanuel Gloor ; Ingrid Theodora van der Laan-Luijkx ; Jean Pierre Henry Balbaud Ometto ; John Bharat Miller ; John Michael Melack ; Jonathan Barichivich ; Joseph Andrew Berry ; Jost Valentin Lavric ; Kenia Teodoro Wiedemann ; Liana Oighenstein Anderson ; Luana Santamaria Basso ; Luciano Marani ; Oliver Lawrence Phillips ; Osvaldo Luiz Leal de Moraes ; Paulo Nobre ; Plínio Carlos Alvalá ; Saulo Ribeiro de Freitas ; Steven Charles Wofsy ; Wouter Peters
Associated grant(s):19/21789-8 - The use of multivariate techniques and neural network predictions to the greenhouse gases database, climate parameters and biomass burning at Amazon, AV.BR
19/03816-8 - Multi-User Equipment approved in grant 2016/02018-2: COS monitor, AP.EMU
Associated scholarship(s):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
18/18493-7 - Correlation between greenhouse gases, natural processes and land use in the Amazon Basin region, BP.PD
18/14006-4 - Estimation of Amazon greenhouse gas balances from atmospheric concentrations using inverse modelling of atmospheric transport, BP.PD

Abstract

The main propose is to determine the fate of the carbon sink and methane source of the Amazon Basin in a period during which the Basin is likely to experience a warming and increasingly variable climate, as well as increasing direct human pressure. This will be done primarily by regularly measuring vertical profiles of atmospheric greenhouse gas concentrations over the Basin. Our previous work, published recently in Nature (Gatti et al. 2014), demonstrated that the Amazonian carbon balance is sensitive to dry versus wet years. The limited period covered by our data does, however, not yet permit to tell us what the Amazon Basin carbon balance will be in the decades to come. Our proposed strategy is therefore to continue the proven method of regular basin-wide vertical profile greenhouse gas measurements to complete one decade, and expand it with important new capabilities. First, we will add COS and 13CO2, to our existing suite of measured gases, which will permit an improved understanding of unusually dry and hot conditions on forest functioning. Furthermore we propose to complement the vertical bi-weekly profile sampling with continuous greenhouse gas measurements at three intermediate to tall towers (65 and 310 m). Data analysis will rely on two high resolution regional models and two global models, state of the art land vegetation models to simulate CO2, COS and 13CO2, and three state-of-the-art inverse modeling approaches (Lagrangian, 4D-variational, and ensemble based) available via the participating partners. Together, these multiple approaches will give us a realistic assessment of the uncertainties of our Amazon Basin greenhouse balance estimates, as well as their trends and controls in a warming world and thereby an assessment of state and changes of the Amazon forests. (AU)

Articles published in other media outlets (1 total):
Amazônia, agora, é fonte de CO2 

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)
FONSECA, MARISA GESTEIRA; ALVES, LINCOLN MUNIZ; DUTRA AGUIAR, ANA PAULA; ARAI, EGIDIO; ANDERSON, LIANA OIGHENSTEIN; ROSAN, THAIS MICHELE; SHIMABUKURO, YOSIO EDEMIR; OLIVEIRA E CRUZ DE ARAGAO, LUIZ EDUARDO. Effects of climate and land-use change scenarios on fire probability during the 21st century in the Brazilian Amazon. GLOBAL CHANGE BIOLOGY, v. 25, n. 9 JULY 2019. Web of Science Citations: 1.
SILVA JUNIOR, CELSO H. L.; ANDERSON, LIANA O.; SILVA, ALINDOMAR L.; ALMEIDA, CATHERINE T.; DALAGNOL, RICARDO; PLETSCH, MIKHAELA A. J. S.; PENHA, THALES V.; PALOSCHI, RENNAN A.; ARAGAO, LUIZ E. O. C. Fire Responses to the 2010 and 2015/2016 Amazonian Droughts. Frontiers in Earth Science, v. 7, MAY 15 2019. Web of Science Citations: 1.
CAMPANHARO, WESLEY A.; LOPES, ALINE P.; ANDERSON, LIANA O.; DA SILVA, THIAGO F. M. R.; ARAGAO, LUIZ E. O. C. Translating Fire Impacts in Southwestern Amazonia into Economic Costs. REMOTE SENSING, v. 11, n. 7 APR 1 2019. Web of Science Citations: 1.
DE MOURA, YHASMIN MENDES. . PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, v. 373, n. 1760 NOV 19 2018. Web of Science Citations: 5.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.