EGU2020-18380, updated on 07 Jan 2024
https://doi.org/10.5194/egusphere-egu2020-18380
EGU General Assembly 2020
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Fire-vegetation feedbacks in JULES-INFERNO

Chantelle Burton1, Richard Betts1,2, Chris Jones1, and Douglas Kelley3
Chantelle Burton et al.
  • 1Met Office Hadley Centre, Exeter. United Kingdom of Great Britain and Northern Ireland (chantelle.burton@metoffice.gov.uk)
  • 2College of Life and Environmental Science, University of Exeter, Exeter. UK
  • 3UK Centre for Ecology & Hydrology, Wallingford. UK

Fire has an important impact on the terrestrial carbon cycle, affecting the growth and distribution of vegetation, and altering carbon stores in vegetation and soils. This is further complicated by the interaction with people, through land-use change, ignitions and fire management. This work presents the latest results from the recently coupled JULES-INFERNO fire enabled land surface model, and the interaction of fire, dynamic vegetation and varying land use. The results of historical and present-day global simulations are evaluated using observations of burned area and emissions, and through use of tools such as ilamb. The model performs well globally compared to observations, and improves the simulation of vegetation especially in the tropics. The model is also used to address how fire may change under different climate scenarios, including El Niño events, and future simulations of climate change. Results show that burned area increases in some areas with El Niño conditions such as those of 2015/16, especially in South America where a 13% increase in burned area and emitted carbon is simulated. This negatively impacts carbon uptake in this region, and reduces the terrestrial carbon sink.

How to cite: Burton, C., Betts, R., Jones, C., and Kelley, D.: Fire-vegetation feedbacks in JULES-INFERNO, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18380, https://doi.org/10.5194/egusphere-egu2020-18380, 2020.

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