LUCAS GATTI DOMINGUES

LUCAS GATTI DOMINGUES

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Increased Amazon carbon emissions mainly from decline in law enforcement
2023 - GATTI, LUCIANA V.; CUNHA, CAMILLA L.; MARANI, LUCIANO; CASSOL, HENRIQUE L.G.; MESSIAS, CASSIANO G.; ARAI, EGIDIO; DENNING, SCOTT A.; SOLER, LUCIANA S.; ALMEIDA, CLAUDIO; SETZER, ALBERTO; DOMINGUES, LUCAS G.; BASSO, LUANA S.; MILLER, JOHN B.; GLOOR, MANUEL; CORREIA, CAIO S.C.; TEJADA, GRACIELA; NEVES, RAIANE A.L.; RAJÃO, RAONI; NUNES, FELIPE; S.FILHO, BRITALDO S.; SCHMITT, JAIR; NOBRE, CARLOS; CORRÊA, SERGIO M.; SANCHES, ALBER H.; ARAGÃO, LUIZ E.O.C.; ANDERSON, LIANA; VON RANDOW, CELSO; CRISPIM, STEPHANE P.; SILVA, FRANCINE M.; MACHADO, GUILHERME B.M.
The Amazon forest carbon sink is declining, mainly as a result of land-use and climate change1–4. Here we investigate how changes in law enforcement of environmental protection policies may have affected the Amazonian carbon balance between 2010 and 2018 compared with 2019 and 2020, based on atmospheric CO2 vertical profiles5,6, deforestation7 and fire data8, as well as infraction notices related to illegal deforestation9. We estimate that Amazonia carbon emissions increased from a mean of 0.24 ± 0.08 PgC year−1 in 2010–2018 to 0.44 ± 0.10 PgC year−1 in 2019 and 0.52 ± 0.10 PgC year−1 in 2020 (± uncertainty). The observed increases in deforestation were 82% and 77% (94% accuracy) and burned area were 14% and 42% in 2019 and 2020 compared with the 2010–2018 mean, respectively. We find that the numbers of notifications of infractions against flora decreased by 30% and 54% and fines paid by 74% and 89% in 2019 and 2020, respectively. Carbon losses during 2019–2020 were comparable with those of the record warm El Niño (2015–2016) without an extreme drought event. Statistical tests show that the observed differences between the 2010– 2018 mean and 2019–2020 are unlikely to have arisen by chance. The changes in the carbon budget of Amazonia during 2019–2020 were mainly because of western Amazonia becoming a carbon source. Our results indicate that a decline in law enforcement led to increases in deforestation, biomass burning and forest degradation, which increased carbon emissions and enhanced drying and warming of the Amazon forests.
Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissions
2022 - NAUS, STIJN; DOMINGUES, LUCAS G.; KROL, MAARTEN; LUIJKX, INGRID T.; GATTI, LUCIANA V.; MILLER, JOHN B.; GLOOR, EMANUEL; BASU, SOURISH; CORREIA, CAIO; KOREN, GERBRAND; WORDEN, HELEN M.; FLEMMING, JOHANNES; PETRON, GABRIELLE; PETERS, WOUTER
Despite the consensus on the overall downward trend in Amazon forest loss in the previous decade, estimates of yearly carbon emissions from deforestation still vary widely. Estimated carbon emissions are currently often based on data from local logging activity reports, changes in remotely sensed biomass, and remote detection of fire hotspots and burned area. Here, we use 16 years of satellite-derived carbon monoxide (CO) columns to constrain fire CO emissions from the Amazon Basin between 2003 and 2018. Through data assimilation, we produce 3 d average maps of fire CO emissions over the Amazon, which we verified to be consistent with a long-term monitoring programme of aircraft CO profiles over five sites in the Amazon. Our new product independently confirms a long-term decrease of 54% in deforestation-related CO emissions over the study period. Interannual variability is large, with known anomalously dry years showing a more than 4-fold increase in basin-wide fire emissions relative to wet years. At the level of individual Brazilian states, we find that both soil moisture anomalies and human ignitions determine fire activity, suggesting that future carbon release from fires depends on drought intensity as much as on continued forest protection. Our study shows that the atmospheric composition perspective on deforestation is a valuable additional monitoring instrument that complements existing bottom-up and remote sensing methods for land-use change. Extension of such a perspective to an operational framework is timely considering the observed increased fire intensity in the Amazon Basin between 2019 and 2021.
Amazon methane budget derived from multi-year airborne observations highlights regional variations in emissions
2021 - BASSO, LUANA S.; MARANI, LUCIANO; GATTI, LUCIANA V.; MILLER, JOHN B.; GLOOR, MANUEL; MELACK, JOHN; CASSOL, HENRIQUE L.G.; TEJADA, GRACIELA; DOMINGUES, LUCAS G.; ARAI, EGIDIO; SANCHEZ, ALBER H.; CORREA, SERGIO M.; ANDERSON, LIANA; ARAGAO, LUIZ E.O.C.; CORREIA, CAIO S.C.; CRISPIM, STEPHANE P.; NEVES, RAIANE A.L.
Atmospheric methane concentrations were nearly constant between 1999 and 2006, but have been rising since by an average of ~8 ppb per year. Increases in wetland emissions, the largest natural global methane source, may be partly responsible for this rise. The scarcity of in situ atmospheric methane observations in tropical regions may be one source of large disparities between top-down and bottom-up estimates. Here we present 590 lower-troposphere vertical profiles of methane concentration from four sites across Amazonia between 2010 and 2018. We find that Amazonia emits 46.2 ± 10.3 Tg of methane per year (~8% of global emissions) with no temporal trend. Based on carbon monoxide, 17% of the sources are from biomass burning with the remainder (83%) attributable mainly to wetlands. Northwest-central Amazon emissions are nearly aseasonal, consistent with weak precipitation seasonality, while southern emissions are strongly seasonal linked to soil water seasonality. We also find a distinct east-west contrast with large fluxes in the northeast, the cause of which is currently unclear.
Amazonia as a carbon source linked to deforestation and climate change
2021 - GATTI, LUCIANA V.; BASSO, LUANA S.; MILLER, JOHN B.; GLOOR, MANUEL; DOMINGUES, LUCAS G.; CASSOL, HENRIQUE L.G.; TEJADA, GRACIELA; ARAGAO, LUIZ E.O.C.; NOBRE, CARLOS; PETERS, WOUTER; MARANI, LUCIANO; ARAI, EGIDIO; SANCHES, ALBER H.; CORREA, SERGIO M.; ANDERSON, LIANA; VON RANDOW, CELSO; CORREIA, CAIO S.C.; CRISPIM, STEPHANE P.; NEVES, RAIANE A.L.
Amazonia hosts the Earth’s largest tropical forests and has been shown to be an important carbon sink over recent decades. This carbon sink seems to be in decline, however, as a result of factors such as deforestation and climate change. Here we investigate Amazonia’s carbon budget and the main drivers responsible for its change into a carbon source. We performed 590 aircraft vertical profiling measurements of lower-tropospheric concentrations of carbon dioxide and carbon monoxide at four sites in Amazonia from 2010 to 2018. We find that total carbon emissions are greater in eastern Amazonia than in the western part, mostly as a result of spatial differences in carbon-monoxide-derived fire emissions. Southeastern Amazonia, in particular, acts as a net carbon source (total carbon flux minus fire emissions) to the atmosphere. Over the past 40 years, eastern Amazonia has been subjected to more deforestation, warming and moisture stress than the western part, especially during the dry season, with the southeast experiencing the strongest trends. We explore the effect of climate change and deforestation trends on carbon emissions at our study sites, and find that the intensification of the dry season and an increase in deforestation seem to promote ecosystem stress, increase in fire occurrence, and higher carbon emissions in the eastern Amazon. This is in line with recent studies that indicate an increase in tree mortality and a reduction in photosynthesis as a result of climatic changes across Amazonia.
Métodos de estimativas de fluxo de gases de efeito estufa e a influência da ação humana na redução da capacidade de remoção de CO2 na Floresta Amazônica
2020 - MARANI, LUCIANO; GATTI, LUCIANA V.; MILLER, JOHN B.; DOMINGUES, LUCAS G.; CORREIA, CAIO C.S.; GLOOR, MANUEL; PETERS, WOUTER; BASSO, LUANA S.; CRISPIM, STEPHANE P.; NEVES, RAIANE A.L.
A Floresta Amazônica desempenha um papel importante para o clima tropical da América do Sul, em particular para a recirculação do vapor d’água para a atmosfera e representa um potencial reservatório de carbono que se fosse liberado totalmente contribuiria significativamente com o aquecimento global. Toda a região está sob forte pressão humana, através de exploração madeireira, conversão de floresta e outras formas de exploração de recursos. Este trabalho apresenta uma forma de examinar os fluxos de carbono na Amazônia, ao realizar perfis verticais atmosféricos de CO2 com aeronaves de pequeno porte regularmente e que sejam representativos de escalas regionais. Ao combinar estas medidas com os registros de background nas ilhas de Barbados e de Ascenção, o fluxo médio mensal de carbono para cerca de 20 % da Amazônia Brasileira pode ser estimado. Existem dois desafios primários nas medidas de CO2: precisão e acurácia. O método desenvolvido para garantir tanto a precisão quanto a acurácia dessas medidas também é apresentado. A análise das linhas de tendência entre as medidas no topo de perfil e das medidas realizadas abaixo da Camada Limite Planetária mostra uma mudança de contribuição ao longo do período estudado, que é confirmada quando se analisam os fluxos médios anuais de CO2. A tendência de mudança nos fluxos mostra comportamentos similares aos observados na mudança do uso da terra, principalmente na conversão de áreas de floresta em áreas de agropecuária, destacando a influência da ação humana na mudança da Amazônia Oriental de um sumidouro para um emissor de CO2 atmosférico.
A new background method for greenhouse gases flux calculation based in back-trajectories over the Amazon
2020 - DOMINGUES, LUCAS G.; GATTI, LUCIANA V.; AQUINO, AFONSO; SÁNCHEZ, ALBER; CORREIA, CAIO; GLOOR, MANUEL; PETERS, WOUTER; MILLER, JOHN; TURNBULL, JOCELYN; SANTANA, RICARDO; MARANI, LUCIANO; CÂMARA, GILBERTO; NEVES, RAIANE; CRISPIM, STÉPHANE
The large amount of carbon stored in trees and soils of the Amazon rain forest is under pressure from land use as well as climate change. Therefore, various efforts to monitor greenhouse gas exchange between the Amazon forest and the atmosphere are now ongoing, including regular vertical profile (surface to 4.5 km) greenhouse gas measurements across the Amazon. These profile measurements can be used to calculate fluxes to and from the rain forest to the atmosphere at large spatial scales by considering the enhancement or depletion relative to the mole fraction of air entering the Amazon basin from the Atlantic, providing an important diagnostic of the state, changes and sensitivities of the forests. Previous studies have estimated greenhouse gas mole fractions of incoming air (‘background’) as a weighted mean of mole fractions measured at two background sites, Barbados (Northern Hemisphere) and Ascension (Southern hemisphere) in the Tropical Atlantic, where the weights were based on sulphur hexafluoride (SF6) measured locally (in the Amazon vertical profiles) and at the two background sites. However, this method requires the accuracy and precision of SF6 measurements to be significantly better than 0.1 parts per trillion (picomole mole􀀀1), which is near the limit for the best SF6 measurements and assumes that there are no SF6 sources in the Amazon basin. We therefore present here an alternative method. Instead of using SF6, we use the geographical position of each air-mass back-trajectory when it intersects the limit connecting these two sites to estimate contributions from Barbados versus Ascension. We furthermore extend the approach to include an observation site further south, Cape Point, South Africa. We evaluate our method using CO2 vertical profile measurements at a coastal site in Brazil comparing with values obtained using this method where we find a high correlation (r2 = 0.77). Similarly, we obtain good agreement for CO2 background when comparing our results with those based on SF6, for the period 2010–2011 when the SF6 measurements had excellent precision and accuracy. We also found high correspondence between the methods for background values of CO, N2O and CH4. Finally, flux estimates based on our new method agree well with the CO2 flux estimates for 2010 and 2011 estimated using the SF6-based method. Together, our findings suggest that our trajectory-based method is a robust new way to derive background air concentrations for the purpose of greenhouse gas flux estimation using vertical profile data.