Relationship between Land Use and Spatial Variability of Atmospheric Brown Carbon and Black Carbon Aerosols in Amazonia

The aerosol radiative effect is an important source of uncertainty in estimating the anthropogenic impact of global climate change. One of the main open questions is the role of radiation absorption by aerosols and its relation to land use worldwide, particularly in the Amazon Rainforest. Using AERONET (Aerosol Robotic Network) long-term measurements of aerosol optical depth (AOD) at a wavelength of 500 nm and absorption AOD (AAOD) at wavelengths of 440, 675, and 870 nm, we estimated the fraction and seasonality of the black carbon (BC) and brown carbon (BrC) contributions to absorption at 440 nm. This was conducted at six Amazonian sites, from central Amazon (Manaus and the Amazon Tall Tower Observatory—ATTO) to the deforestation arc (Rio Branco, Cuiabá, Ji-Paraná, and Alta Floresta). In addition, land use and cover data from the MapBiomas collection 6.0 was used to access the land transformation from forest to agricultural areas on each site. The results showed, for the first time, important geographical and seasonal variability in the aerosol optical properties, particularly the BC and BrC contributions. We observed a clear separation between dry and wet seasons, with BrC consistently accounting for an average of approximately 12% of the aerosol AAOD at 440 nm in the deforestation arc. In central Amazon, the contribution of BrC was approximately 25%. A direct relationship between the reduction in forests and the increase in the area dedicated to agriculture was detected. Moreover, places with lower fractions of forest had a smaller fraction of BrC, and regions with higher fractions of agricultural areas presented higher fractions of BC. Therefore, significant changes in AOD and AAOD are likely related to land-use transformations and biomass burning emissions, mainly during the dry season. The effects of land use change could introduce differences in the radiative balance in the different Amazonian regions. The analyses presented in this study allow a better understanding of the role of aerosol emissions from the Amazon Rainforest that could have global impacts.

[1]  P. Artaxo,et al.  Major Regional-Scale Production of O3 and Secondary Organic Aerosol in Remote Amazon Regions from the Dynamics and Photochemistry of Urban and Forest Emissions. , 2022, Environmental science & technology.

[2]  S. Rolinski,et al.  When do Farmers Burn Pasture in Brazil: A Model-Based Approach to Determine Burning Date , 2021, Rangeland Ecology and Management.

[3]  C. Nobre,et al.  Deforestation and climate change are projected to increase heat stress risk in the Brazilian Amazon , 2021, Communications Earth & Environment.

[4]  M. Andreae,et al.  Supplementary material to "Occurrence and growth of sub-50 nm aerosol particles in the Amazonian boundary layer" , 2021, Atmospheric Chemistry and Physics.

[5]  M. C. Picoli,et al.  Government policies endanger the indigenous peoples of the Brazilian Amazon , 2021 .

[6]  M. Hansen,et al.  Detecting vulnerability of humid tropical forests to multiple stressors , 2021, One Earth.

[7]  Luana S. Basso,et al.  Amazonia as a carbon source linked to deforestation and climate change , 2021, Nature.

[8]  P. Artaxo,et al.  Aerosols from anthropogenic and biogenic sources and their interactions – modeling aerosol formation, optical properties, and impacts over the central Amazon basin , 2021 .

[9]  M. Adami,et al.  Expansion of soybean farming into deforested areas in the amazon biome: the role and impact of the soy moratorium , 2021, Sustainability Science.

[10]  T. Lenton,et al.  Pronounced loss of Amazon rainforest resilience since the early 2000s , 2021, Nature Climate Change.

[11]  L. Aragão,et al.  The Brazilian Amazon deforestation rate in 2020 is the greatest of the decade , 2020, Nature Ecology & Evolution.

[12]  P. Fearnside,et al.  Deforestation Trajectories on a Development Frontier in the Brazilian Amazon: 35 Years of Settlement Colonization, Policy and Economic Shifts, and Land Accumulation , 2020, Environmental Management.

[13]  Pedro Walfir M. Souza Filho,et al.  Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine , 2020, Remote. Sens..

[14]  M. Wendisch,et al.  Influx of African biomass burning aerosol during the Amazonian dry season through layered transatlantic transport of black carbon-rich smoke , 2020, Atmospheric Chemistry and Physics.

[15]  E. Landulfo,et al.  Long Term Analysis of Optical and Radiative Properties of Aerosols in the Amazon Basin , 2020 .

[16]  Ignácio Amigo When will the Amazon hit a tipping point? , 2020, Nature.

[17]  M. Shafer,et al.  Impact of secondary and primary particulate matter (PM) sources on the enhanced light absorption by brown carbon (BrC) particles in central Los Angeles. , 2019, The Science of the total environment.

[18]  F. Cao,et al.  The characteristics of atmospheric brown carbon in Xi'an, inland China: sources, size distributions and optical properties , 2019, Atmospheric Chemistry and Physics.

[19]  M. Andreae,et al.  Land cover and its transformation in the backward trajectory footprint region of the Amazon Tall Tower Observatory , 2019, Atmospheric Chemistry and Physics.

[20]  Z. Cong,et al.  Review of brown carbon aerosols: Recent progress and perspectives. , 2018, The Science of the total environment.

[21]  A. Prévôt,et al.  Source Apportionment of Brown Carbon Absorption by Coupling Ultraviolet–Visible Spectroscopy with Aerosol Mass Spectrometry , 2018 .

[22]  M. Andreae,et al.  Black and brown carbon over central Amazonia: long-term aerosol measurements at the ATTO site , 2017, Atmospheric Chemistry and Physics.

[23]  Jürgen Kurths,et al.  A deforestation-induced tipping point for the South American monsoon system , 2017, Scientific Reports.

[24]  Jian Wang,et al.  Long-term observations of cloud condensation nuclei in the Amazon rain forest – Part 1: Aerosol size distribution, hygroscopicity, and new model parametrizations for CCN prediction , 2016 .

[25]  S. Martin,et al.  Deriving brown carbon from multiwavelength absorption measurements: method and application to AERONET and Aethalometer observations , 2016 .

[26]  Qi Zhang,et al.  Understanding the optical properties of ambient sub- and supermicron particulate matter: results from the CARES 2010 field study in northern California , 2016 .

[27]  V. Ramanathan,et al.  Convergence on climate warming by black carbon aerosols , 2016, Proceedings of the National Academy of Sciences.

[28]  Chul-Un Ro,et al.  The Amazon Tall Tower Observatory (ATTO): overview of pilot measurements on ecosystem ecology, meteorology, trace gases, and aerosols , 2015 .

[29]  Oleg Dubovik,et al.  Recent trends in aerosol optical properties derived from AERONET measurements , 2014 .

[30]  Paulo Artaxo,et al.  Atmospheric aerosols in Amazonia and land use change: from natural biogenic to biomass burning conditions. , 2013, Faraday discussions.

[31]  R. Dickinson,et al.  Increased dry-season length over southern Amazonia in recent decades and its implication for future climate projection , 2013, Proceedings of the National Academy of Sciences.

[32]  V. Ramanathan,et al.  Atmospheric Chemistry and Physics Discussions Interactive comment on “ Relating aerosol absorption due to soot , organic carbon , and dust to emission sources determined from in-situ chemical measurements ” , 2022 .

[33]  V. Ramanathan,et al.  Brown carbon: a significant atmospheric absorber of solar radiation? , 2013 .

[34]  B. DeAngelo,et al.  Bounding the role of black carbon in the climate system: A scientific assessment , 2013 .

[35]  A. Agrawal,et al.  Governance regime and location influence avoided deforestation success of protected areas in the Brazilian Amazon , 2013, Proceedings of the National Academy of Sciences.

[36]  R. Nemani,et al.  Persistent effects of a severe drought on Amazonian forest canopy , 2012, Proceedings of the National Academy of Sciences.

[37]  J. Jimenez,et al.  Absorption Angstrom Exponent in AERONET and related data as an indicator of aerosol composition , 2009 .

[38]  M. Andreae,et al.  Constraining the density and complex refractive index of elemental and organic carbon in biomass burning aerosol using optical and chemical measurements , 2007 .

[39]  M. Andreae,et al.  Black carbon or brown carbon? The nature of light-absorbing carbonaceous aerosols , 2006 .

[40]  T. Bond,et al.  Light Absorption by Carbonaceous Particles: An Investigative Review , 2006 .

[41]  Meinrat O. Andreae,et al.  Optical properties of humic-like substances (HULIS) in biomass-burning aerosols , 2005 .

[42]  P. Zieger,et al.  Tropical and Boreal Forest – Atmosphere Interactions: A Review , 2022, Tellus B: Chemical and Physical Meteorology.