The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.
Connections of climate change and variability to large and extreme forest fires in southeast Australia
Open accessAbstract
The 2019/20 Black Summer bushfire disaster in southeast Australia was unprecedented: the extensive area of forest burnt, the radiative power of the fires, and the extraordinary number of fires that developed into extreme pyroconvective events were all unmatched in the historical record. Australia’s hottest and driest year on record, 2019, was characterised by exceptionally dry fuel loads that primed the landscape to burn when exposed to dangerous fire weather and ignition. The combination of climate variability and long-term climate trends generated the climate extremes experienced in 2019, and the compounding effects of two or more modes of climate variability in their fire-promoting phases (as occurred in 2019) has historically increased the chances of large forest fires occurring in southeast Australia. Palaeoclimate evidence also demonstrates that fire-promoting phases of tropical Pacific and Indian ocean variability are now unusually frequent compared with natural variability in pre-industrial times. Indicators of forest fire danger in southeast Australia have already emerged outside of the range of historical experience, suggesting that projections made more than a decade ago that increases in climate-driven fire risk would be detectable by 2020, have indeed eventuated. The multiple climate change contributors to fire risk in southeast Australia, as well as the observed non-linear escalation of fire extent and intensity, raise the likelihood that fire events may continue to rapidly intensify in the future. Improving local and national adaptation measures while also pursuing ambitious global climate change mitigation efforts would provide the best strategy for limiting further increases in fire risk in southeast Australia.
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Cites
Vicente-Serrano, S. M., Beguería, S., & López-Moreno, J. I. (2010) · Journal of Climate · doi:10.1175/2009jcli2909.1 · Cited by 9,493
A dipole mode in the tropical Indian Ocean
Saji, N. H., Goswami, B. N., Vinayachandran, P. N., & Yamagata, T. (1999) · Nature · doi:10.1038/43854 · Cited by 5,510
Huang, B., Thorne, P. W., Banzon, V. F., Boyer, T., Chepurin, G., Lawrimore, J. H., Menne, M. J., Smith, T. M., Vose, R. S., & Zhang, H.-M. (2017) · Journal of Climate · doi:10.1175/jcli-d-16-0836.1 · Cited by 3,230
Increasing frequency of extreme El Niño events due to greenhouse warming.
Cai, W., Borlace, S., Lengaigne, M., van Rensch, P., Collins, M., Vecchi, G., Timmermann, A., Santoso, A., McPhaden, M. J., Wu, L., et al. (2014) · Nature Climate Change · doi:10.1038/nclimate2100 · Cited by 2,198
Coupled ocean–atmosphere dynamics in the Indian Ocean during 1997–98
Webster, P. J., Moore, A. M., Loschnigg, J. P., & Leben, R. R. (1999) · Nature · doi:10.1038/43848 · Cited by 2,144
The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500
Meinshausen, M., Nicholls, Z. R. J., Lewis, J., Gidden, M. J., Vogel, E., Freund, M., Beyerle, U., Gessner, C., Nauels, A., Bauer, N., et al. (2020) · Geoscientific Model Development · doi:10.5194/gmd-13-3571-2020 · Cited by 1,815
Increased atmospheric vapor pressure deficit reduces global vegetation growth
Yuan, W., Zheng, Y., Piao, S., Ciais, P., Lombardozzi, D., Wang, Y., Ryu, Y., Chen, G., Dong, W., Hu, Z., et al. (2019) · Science Advances · doi:10.1126/sciadv.aax1396 · Cited by 1,762
The collection 6 MODIS active fire detection algorithm and fire products
Giglio, L., Schroeder, W., & Justice, C. O. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.02.054 · Cited by 1,617
The increasing importance of atmospheric demand for ecosystem water and carbon fluxes
Novick, K. A., Ficklin, D. L., Stoy, P. C., Williams, C. A., Bohrer, G., Oishi, A. C., Papuga, S. A., Blanken, P. D., Noormets, A., Sulman, B. N., et al. (2016) · Nature Climate Change · doi:10.1038/nclimate3114 · Cited by 1,508
High-quality spatial climate data-sets for Australia
Jones, D. A., Wang, W., & Fawcett, R. (2009) · Australian Meteorological and Oceanographic Journal · doi:10.1071/es09032 · Cited by 1,316
Cited by
(IPCC), I. P. O. C. C. (2023) · doi:10.1017/9781009325844 · Cited by 10,921
Romanello, M., Di Napoli, C., Drummond, P., Green, C., Kennard, H., Lampard, P., Scamman, D., Arnell, N., Ayeb-Karlsson, S., Ford, L. B., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(22)01540-9 · Cited by 1,710
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
Earlier collapse of Anthropocene ecosystems driven by multiple faster and noisier drivers
Willcock, S., Cooper, G. S., Addy, J., & Dearing, J. A. (2023) · Nature Sustainability · doi:10.1038/s41893-023-01157-x · Cited by 150
Barnes, P. W., Robson, T. M., Zepp, R. G., Bornman, J. F., Jansen, M. A. K., Ossola, R., Wang, Q.-W., Robinson, S. A., Foereid, B., Klekociuk, A. R., et al. (2023) · Photochemical & Photobiological Sciences · doi:10.1007/s43630-023-00376-7 · Cited by 113
Metadata
- Authors
- Abram, N. J., Henley, B. J., Sen Gupta, A., Lippmann, T. J. R., Clarke, H., Dowdy, A. J., Sharples, J. J., Nolan, R. H., Zhang, T., Wooster, M. J., Wurtzel, J. B., Meissner, K. J., Pitman, A. J., Ukkola, A. M., Murphy, B. P., Tapper, N. J., & Boer, M. M.
- Venue
- Communications Earth & Environment
- Published
- 2021-01-07
- Volume
- 2
- Issue
- 1
- ISSN
- 2662-4435 (ISSN-L)
- OpenAlex
- W3120122943
- Cited by
- 853
- References
- 126
- FWCI
- 60.16
- Type
- journal article
- Language
- en
- Open access
- gold
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- Abram, N. J., Henley, B. J., Sen Gupta, A., Lippmann, T. J. R., Clarke, H., Dowdy, A. J., Sharples, J. J., Nolan, R. H., Zhang, T., Wooster, M. J., Wurtzel, J. B., Meissner, K. J., Pitman, A. J., Ukkola, A. M., Murphy, B. P., Tapper, N. J., & Boer, M. M. (2021). Connections of climate change and variability to large and extreme forest fires in southeast Australia. Communications Earth & Environment. https://doi.org/10.1038/s43247-020-00065-8
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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.