The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Fire dynamics during the 20th century simulated by the Community Land Model
Open accessAbstract
Abstract. Fire is an integral Earth System process that interacts with climate in multiple ways. Here we assessed the parametrization of fires in the Community Land Model (CLM-CN) and improved the ability of the model to reproduce contemporary global patterns of burned areas and fire emissions. In addition to wildfires we extended CLM-CN to account for fires related to deforestation. We compared contemporary fire carbon emissions predicted by the model to satellite-based estimates in terms of magnitude and spatial extent as well as interannual and seasonal variability. Long-term trends during the 20th century were compared with historical estimates. Overall we found the best agreement between simulation and observations for the fire parametrization based on the work by Arora and Boer (2005). We obtained substantial improvement when we explicitly considered human caused ignition and fire suppression as a function of population density. Simulated fire carbon emissions ranged between 2.0 and 2.4 Pg C/year for the period 1997–2004. Regionally the simulations had a low bias over Africa and a high bias over South America when compared to satellite-based products. The net terrestrial carbon source due to land use change for the 1990s was 1.2 Pg C/year with 11% stemming from deforestation fires. During 2000–2004 this flux decreased to 0.85 Pg C/year with a similar relative contribution from deforestation fires. Between 1900 and 1960 we predicted a slight downward trend in global fire emissions caused by reduced fuels as a consequence of wood harvesting and also by increases in fire suppression. The model predicted an upward trend during the last three decades of the 20th century as a result of climate variations and large burning events associated with ENSO-induced drought conditions.
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Cites
Bowman, D. M. J. S., Balch, J. K., Artaxo, P., Bond, W. J., Carlson, J. M., Cochrane, M. A., D’Antonio, C. M., DeFries, R. S., Doyle, J. C., Harrison, S. P., et al. (2009) · Science · doi:10.1126/science.1163886 · Cited by 3,351
Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000
Ramankutty, N., Evan, A. T., Monfreda, C., & Foley, J. A. (2008) · Global Biogeochemical Cycles · doi:10.1029/2007gb002952 · Cited by 1,942
The global distribution of ecosystems in a world without fire
Bond, W. J., Woodward, F. I., & Midgley, G. F. (2005) · New Phytologist · doi:10.1111/j.1469-8137.2004.01252.x · Cited by 1,942
The amount of carbon released from peat and forest fires in Indonesia during 1997
Page, S. E., Siegert, F., Rieley, J. O., Boehm, H.-D. V., Jaya, A., & Limin, S. (2002) · Nature · doi:10.1038/nature01131 · Cited by 1,885
Interannual variability in global biomass burning emissions from 1997 to 2004
van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Kasibhatla, P. S., & Arellano, A. F. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-3423-2006 · Cited by 1,656
Self-citationCropland expansion changes deforestation dynamics in the southern Brazilian Amazon
Morton, D. C., DeFries, R. S., Shimabukuro, Y. E., Anderson, L. O., Arai, E., del Bon Espirito-Santo, F., Freitas, R., & Morisette, J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606377103 · Cited by 1,081
Climate and human influences on global biomass burning over the past two millennia
Marlon, J. R., Bartlein, P. J., Carcaillet, C., Gavin, D. G., Harrison, S. P., Higuera, P. E., Joos, F., Power, M. J., & Prentice, I. C. (2008) · Nature Geoscience · doi:10.1038/ngeo313 · Cited by 823
Power, M. J., Marlon, J., Ortiz, N., Bartlein, P. J., Harrison, S. P., Mayle, F. E., Ballouche, A., Bradshaw, R. H. W., Carcaillet, C., Cordova, C., et al. (2008) · Climate Dynamics · doi:10.1007/s00382-007-0334-x · Cited by 717
Thonicke, K., Venevsky, S., Sitch, S., & Cramer, W. (2001) · Global Ecology and Biogeography · doi:10.1046/j.1466-822x.2001.00175.x · Cited by 684
Global estimation of burned area using MODIS active fire observations
Giglio, L., van der Werf, G. R., Randerson, J. T., Collatz, G. J., & Kasibhatla, P. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-957-2006 · Cited by 635
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Cited by
Bowman, D. M. J. S., Balch, J. K., Artaxo, P., Bond, W. J., Carlson, J. M., Cochrane, M. A., D’Antonio, C. M., DeFries, R. S., Doyle, J. C., Harrison, S. P., et al. (2009) · Science · doi:10.1126/science.1163886 · Cited by 3,351
(2010) · doi:10.5194/acp-10-11707-2010 · Cited by 2,859
Global and Regional Trends and Drivers of Fire Under Climate Change
Jones, M. W., Abatzoglou, J. T., Veraverbeke, S., Andela, N., Lasslop, G., Forkel, M., Smith, A. J. P., Burton, C., Betts, R. A., van der Werf, G. R., et al. (2022) · Reviews of Geophysics · doi:10.1029/2020rg000726 · Cited by 1,332
Climate-driven risks to the climate mitigation potential of forests
Anderegg, W. R. L., Trugman, A. T., Badgley, G., Anderson, C. M., Bartuska, A., Ciais, P., Cullenward, D., Field, C. B., Freeman, J., Goetz, S. J., et al. (2020) · Science · doi:10.1126/science.aaz7005 · Cited by 854
Self-citationGranier, C., Bessagnet, B., Bond, T., D’Angiola, A., Denier van der Gon, H., Frost, G. J., Heil, A., Kaiser, J. W., Kinne, S., Klimont, Z., et al. (2011) · Climatic Change · doi:10.1007/s10584-011-0154-1 · Cited by 847
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Metadata
- Authors
- Kloster, S., Mahowald, N. M., Randerson, J. T., Thornton, P. E., Hoffman, F. M., Levis, S., Lawrence, P. J., Feddema, J. J., Oleson, K. W., & Lawrence, D. M.
- Venue
- Biogeosciences
- Publisher
- Copernicus GmbH
- Published
- 2010-06-11
- Volume
- 7
- Issue
- 6
- Pages
- 1877-1902
- ISSN
- 1726-4170 (ISSN-L)
- 1726-4189
- OpenAlex
- W2161581594
- Cited by
- 209
- References
- 13
- FWCI
- 12.29
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
