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Year | Number of Results |
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2019 | 1 |
2020 | 1 |
2022 | 1 |
2024 | 0 |
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The 2019-2020 Australian forest fires are a harbinger of decreased prescribed burning effectiveness under rising extreme conditions.
Sci Rep. 2022 Jul 13;12(1):11871. doi: 10.1038/s41598-022-15262-y.
Sci Rep. 2022.
PMID: 35831432
Free PMC article.
Bayesian decision network modeling for environmental risk management: A wildfire case study.
Penman TD, Cirulis B, Marcot BG.
Penman TD, et al. Among authors: cirulis b.
J Environ Manage. 2020 Sep 15;270:110735. doi: 10.1016/j.jenvman.2020.110735. Epub 2020 Jun 10.
J Environ Manage. 2020.
PMID: 32721285
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Developing and testing models of the drivers of anthropogenic and lightning-caused wildfire ignitions in south-eastern Australia.
Clarke H, Gibson R, Cirulis B, Bradstock RA, Penman TD.
Clarke H, et al. Among authors: cirulis b.
J Environ Manage. 2019 Apr 1;235:34-41. doi: 10.1016/j.jenvman.2019.01.055. Epub 2019 Jan 19.
J Environ Manage. 2019.
PMID: 30669091
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