Demographic controls of future global fire risk
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DOI: 10.1038/nclimate2999
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Cited by:
- Yan Yu & Jiafu Mao & Stan D. Wullschleger & Anping Chen & Xiaoying Shi & Yaoping Wang & Forrest M. Hoffman & Yulong Zhang & Eric Pierce, 2022. "Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
- Thomas Curt & Thibaut Frejaville, 2018. "Wildfire Policy in Mediterranean France: How Far is it Efficient and Sustainable?," Risk Analysis, John Wiley & Sons, vol. 38(3), pages 472-488, March.
- Yanfeng Wang & Ping Huang, 2022. "Potential fire risks in South America under anthropogenic forcing hidden by the Atlantic Multidecadal Oscillation," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
- Kim, Yeon-Su & Rodrigues, Marcos & Robinne, François-Nicolas, 2021. "Economic drivers of global fire activity: A critical review using the DPSIR framework," Forest Policy and Economics, Elsevier, vol. 131(C).
- Guillaume Rohat, 2018. "Projecting Drivers of Human Vulnerability under the Shared Socioeconomic Pathways," IJERPH, MDPI, vol. 15(3), pages 1-23, March.
- Guillaume Rohat & Johannes Flacke & Hy Dao & Martin Maarseveen, 2018. "Co-use of existing scenario sets to extend and quantify the shared socioeconomic pathways," Climatic Change, Springer, vol. 151(3), pages 619-636, December.
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