EGU23-6173
https://doi.org/10.5194/egusphere-egu23-6173
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Carbon fluxes from different fire types in the Amazon and Cerrado biomes quantified using Earth-observation based modelling

Dominic Fawcett1, Leo Ng2, Amos Tai2,3, Xiaoyu Yan4, Thais Rosan1, Celso Silva Junior5,6,7, Ana Bastos8, Philippe Ciais9, Clément Albergel10, Luiz Aragão1,11,12, and Stephen Sitch1,13
Dominic Fawcett et al.
  • 1Department of Geography, Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK
  • 2Earth System Science Programme and Graduate Division of Earth and Atmospheric Sciences, Faculty of Science, The Chinese University of Hong Kong, Sha Tin, Hong Kong, China
  • 3State Key Laboratory of Agrobiotechnology and Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Sha Tin, Hong Kong, China
  • 4Environment and Sustainability Institute, University of Exeter, Penryn Campus, Penryn, UK
  • 5Institute of Environment and Sustainability, University of California, Los Angeles, CA, USA
  • 6Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
  • 7Programa de Pós-graduação em Biodiversidade e Conservação, Universidade Federal do Maranhão, São Luís, MA, Brazil
  • 8Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena 07745, Germany.
  • 9Laboratoire des Sciences du Climat et de l’Environnement LSCE, CEA CNRS UVSQ, Centre d’Etudes Orme de Merisiers, Gif-sur-Yvette, France
  • 10European Space Agency Climate Office, ECSAT, Harwell Campus, Oxfordshire, Didcot OX11 0FD, UK
  • 11Tropical Ecosystems and Environmental Sciences Laboratory, São José dos Campos, SP, Brazil.
  • 12Earth Observation and Geoinformatics Division, National Institute for Space Research, São José dos Campos, SP, Brazil.
  • 13Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK

Fires in the tropics are linked to both climate and land-use change. While in the Amazon, deforestation-related fires decreased following a substantial reduction in deforestation activities until 2012, there have been recent upturns in deforestation and forest fires. Furthermore, earth system models predict a further increase in the intensity of dry seasons in this region in the 21st century. Therefore, carbon emissions from drought-induced forest fires can counteract further pledged deforestation reductions in the following decades, yet they are only partially accounted for in national carbon emission estimates. Improved assessments of fire impacts, including the carbon fluxes arising from post-fire mortality and regrowth, are therefore highly important. 
Combining a range of available satellite products enables spatially specific fire emissions estimations. We developed a remote sensing based approach where biomass maps, observed forest loss, burned area and active fire data are combined to generate updated fuel load and emission estimates. In addition, space-for-time methods are employed to derive estimates of post-fire mortality as a function of pre-fire biomass. This high-resolution model guarantees an improved separation of fire types, and we can report emissions associated with deforestation, forest degradation and savanna fires for the entire Amazon basin and the Brazilian Cerrado at monthly intervals. 
Results show that over 2015-2020 fires cause annual gross emissions of ~300 Tg C over the Amazon and Cerrado. While instantaneous emissions from forest fires are small, the fire-induced mortality and subsequent decomposition cause legacy fluxes which are closer to deforestation fire emissions in magnitude, highlighting their importance. Recent upturns in deforestation fire emissions were observed, including in conservation areas established before 2004. There is overall good agreement with previous instantaneous fire emission estimates from other approaches (GFED4s, GFED 500 m) while remaining disagreements highlight areas of uncertainties, such as combustion completeness values, which could benefit from additional field measurements and spatial modelling supported by EO products.
Outputs from this work can further be used to improve regional greenhouse gas budgets and inform emission reduction and mitigation efforts.

How to cite: Fawcett, D., Ng, L., Tai, A., Yan, X., Rosan, T., Silva Junior, C., Bastos, A., Ciais, P., Albergel, C., Aragão, L., and Sitch, S.: Carbon fluxes from different fire types in the Amazon and Cerrado biomes quantified using Earth-observation based modelling, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-6173, https://doi.org/10.5194/egusphere-egu23-6173, 2023.