Articles | Volume 16, issue 19
https://doi.org/10.5194/bg-16-3883-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-16-3883-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Oct 2019
Research article |
| 09 Oct 2019
| 09 Oct 2019
Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models
Lina Teckentrup
Max Planck Institute for Meteorology, Land in the Earth System, Bundesstraße 53, Hamburg, Germany
Sandy P. Harrison
School of Archaeology, Geography and Environmental Sciences (SAGES), University of Reading, Whiteknights, Reading, UK
Stijn Hantson
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research, 82467 Garmisch-Partenkirchen, Germany
Angelika Heil
Max Planck Institute for Meteorology, Land in the Earth System, Bundesstraße 53, Hamburg, Germany
Joe R. Melton
Climate Research Division, Environment Canada, Victoria, BC, V8W 2Y2, Canada
Matthew Forrest
Senckenberg Biodiversity and Climate Research Institute (BiK-F), 60325 Frankfurt am Main, Germany
International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Chao Yue
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
Almut Arneth
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research, 82467 Garmisch-Partenkirchen, Germany
Thomas Hickler
Senckenberg Biodiversity and Climate Research Institute (BiK-F), 60325 Frankfurt am Main, Germany
Stephen Sitch
College of Life and Environmental Sciences, University of Exeter, Exeter, UK
Gitta Lasslop
CORRESPONDING AUTHOR
Max Planck Institute for Meteorology, Land in the Earth System, Bundesstraße 53, Hamburg, Germany
Senckenberg Biodiversity and Climate Research Institute (BiK-F), 60325 Frankfurt am Main, Germany
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- “Forest fire emissions: A contribution to global climate change” S. Singh 10.3389/ffgc.2022.925480
- The Role of Wildfires in the Interplay of Forest Carbon Stocks and Wood Harvest in the Contiguous United States During the 20th Century A. Magerl et al. 10.1029/2023GB007813
- Global ecosystems and fire: Multi‐model assessment of fire‐induced tree‐cover and carbon storage reduction G. Lasslop et al. 10.1111/gcb.15160
- Reduced global fire activity due to human demography slows global warming by enhanced land carbon uptake C. Wu et al. 10.1073/pnas.2101186119
- Characterization of land cover-specific fire regimes in the Brazilian Amazon A. Cano-Crespo et al. 10.1007/s10113-022-02012-z
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- Vegetation fires in the Anthropocene D. Bowman et al. 10.1038/s43017-020-0085-3
- Using long temporal reference units to assess the spatial accuracy of global satellite-derived burned area products M. Franquesa et al. 10.1016/j.rse.2021.112823
- Increased burning in a warming climate reduces carbon uptake in the Greater Yellowstone Ecosystem despite productivity gains P. Henne et al. 10.1111/1365-2745.13559
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- Global decline in subsistence-oriented and smallholder fire use C. Smith et al. 10.1038/s41893-022-00867-y
- Modeling fuel moisture dynamics under climate change in Spain’s forests R. Balaguer-Romano et al. 10.1186/s42408-023-00224-0
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- Modelling Human-Fire Interactions: Combining Alternative Perspectives and Approaches A. Ford et al. 10.3389/fenvs.2021.649835
- Reimagine fire science for the anthropocene J. Shuman et al. 10.1093/pnasnexus/pgac115
- Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP) F. Li et al. 10.5194/acp-19-12545-2019
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- Towards understanding the environmental and climatic changes and its contribution to the spread of wildfires in Ghana using remote sensing tools and machine learning (Google Earth Engine) K. Dahan et al. 10.1080/17538947.2023.2197263
- Increasing forest fire emissions despite the decline in global burned area B. Zheng et al. 10.1126/sciadv.abh2646
- “Forest fire emissions: A contribution to global climate change” S. Singh 10.3389/ffgc.2022.925480
- The Role of Wildfires in the Interplay of Forest Carbon Stocks and Wood Harvest in the Contiguous United States During the 20th Century A. Magerl et al. 10.1029/2023GB007813
- Global ecosystems and fire: Multi‐model assessment of fire‐induced tree‐cover and carbon storage reduction G. Lasslop et al. 10.1111/gcb.15160
- Reduced global fire activity due to human demography slows global warming by enhanced land carbon uptake C. Wu et al. 10.1073/pnas.2101186119
- Characterization of land cover-specific fire regimes in the Brazilian Amazon A. Cano-Crespo et al. 10.1007/s10113-022-02012-z
- Understanding and modelling wildfire regimes: an ecological perspective S. Harrison et al. 10.1088/1748-9326/ac39be
- Global environmental controls on wildfire burnt area, size, and intensity O. Haas et al. 10.1088/1748-9326/ac6a69
- Toward quantification of the feasible potential of land-based carbon dioxide removal O. Perkins et al. 10.1016/j.oneear.2023.11.011
- AttentionFire_v1.0: interpretable machine learning fire model for burned-area predictions over tropics F. Li et al. 10.5194/gmd-16-869-2023
- Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
- INFERNO-peat v1.0.0: a representation of northern high-latitude peat fires in the JULES-INFERNO global fire model K. Blackford et al. 10.5194/gmd-17-3063-2024
- Assessing the representation of the Australian carbon cycle in global vegetation models L. Teckentrup et al. 10.5194/bg-18-5639-2021
- A hydroclimatic model for the distribution of fire on Earth M. Boer et al. 10.1088/2515-7620/abec1f
- Modeling long-term fire impact on ecosystem characteristics and surface energy using a process-based vegetation–fire model SSiB4/TRIFFID-Fire v1.0 H. Huang et al. 10.5194/gmd-13-6029-2020
- A fiery wake-up call for climate science B. Sanderson & R. Fisher 10.1038/s41558-020-0707-2
- Human Fire Use and Management: A Global Database of Anthropogenic Fire Impacts for Modelling J. Millington et al. 10.3390/fire5040087
- Vegetation fires in the Anthropocene D. Bowman et al. 10.1038/s43017-020-0085-3
- Using long temporal reference units to assess the spatial accuracy of global satellite-derived burned area products M. Franquesa et al. 10.1016/j.rse.2021.112823
- Increased burning in a warming climate reduces carbon uptake in the Greater Yellowstone Ecosystem despite productivity gains P. Henne et al. 10.1111/1365-2745.13559
- The importance of antecedent vegetation and drought conditions as global drivers of burnt area A. Kuhn-Régnier et al. 10.5194/bg-18-3861-2021
- Decreasing causal impacts of El Niño–Southern Oscillation on future fire activities T. Le et al. 10.1016/j.scitotenv.2022.154031
- Global decline in subsistence-oriented and smallholder fire use C. Smith et al. 10.1038/s41893-022-00867-y
- Modeling fuel moisture dynamics under climate change in Spain’s forests R. Balaguer-Romano et al. 10.1186/s42408-023-00224-0
- The potential for structural errors in emergent constraints B. Sanderson et al. 10.5194/esd-12-899-2021
- Reduced-order digital twin and latent data assimilation for global wildfire prediction C. Zhong et al. 10.5194/nhess-23-1755-2023
- Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project S. Hantson et al. 10.5194/gmd-13-3299-2020
- Examining the sensitivity of the terrestrial carbon cycle to the expression of El Niño L. Teckentrup et al. 10.5194/bg-18-2181-2021
- Influence of atmospheric teleconnections on interannual variability of Arctic-boreal fires Z. Zhao et al. 10.1016/j.scitotenv.2022.156550
3 citations as recorded by crossref.
- Modelling Human-Fire Interactions: Combining Alternative Perspectives and Approaches A. Ford et al. 10.3389/fenvs.2021.649835
- Reimagine fire science for the anthropocene J. Shuman et al. 10.1093/pnasnexus/pgac115
- Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP) F. Li et al. 10.5194/acp-19-12545-2019
Latest update: 24 Apr 2024
Short summary
This study compares simulated burned area of seven global vegetation models provided by the Fire Model Intercomparison Project (FireMIP) since 1900. We investigate the influence of five forcing factors: atmospheric CO2, population density, land–use change, lightning and climate.
We find that the anthropogenic factors lead to the largest spread between models. Trends due to climate are mostly not significant but climate strongly influences the inter-annual variability of burned area.
This study compares simulated burned area of seven global vegetation models provided by the Fire...
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