The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.
Fire and tree death: understanding and improving modeling of fire-induced tree mortality
Open accessAbstract
Each year wildland fires kill and injure trees on millions of forested hectares globally, affecting plant and animal biodiversity, carbon storage, hydrologic processes, and ecosystem services. The underlying mechanisms of fire-caused tree mortality remain poorly understood, however, limiting the ability to accurately predict mortality and develop robust modeling applications, especially under novel future climates. Virtually all post-fire tree mortality prediction systems are based on the same underlying empirical model described in Ryan and Reinhardt (1988 Can. J. For. Res. 18 1291–7), which was developed from a limited number of species, stretching model assumptions beyond intended limits. We review the current understanding of the mechanisms of fire-induced tree mortality, provide recommended standardized terminology, describe model applications and limitations, and conclude with key knowledge gaps and future directions for research. We suggest a two-pronged approach to future research: (1) continued improvements and evaluations of empirical models to quantify uncertainty and incorporate new regions and species and (2) acceleration of basic, physiological research on the proximate and ultimate causes of fire-induced tree mortality to incorporate processes of tree death into models. Advances in both empirical and process fire-induced tree modeling will allow creation of hybrid models that could advance understanding of how fire injures and kills trees, while improving prediction accuracy of fire-driven feedbacks on ecosystems and landscapes, particularly under novel future conditions.
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Cites
Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., & Hegewisch, K. C. (2018) · Scientific Data · doi:10.1038/sdata.2017.191 · Cited by 3,421
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
Allen, C. D., Breshears, D. D., & McDowell, N. G. (2015) · Ecosphere · doi:10.1890/es15-00203.1 · Cited by 2,642
Climate-induced variations in global wildfire danger from 1979 to 2013
Jolly, W. M., Cochrane, M. A., Freeborn, P. H., Holden, Z. A., Brown, T. J., Williamson, G. J., & Bowman, D. M. J. S. (2015) · Nature Communications · doi:10.1038/ncomms8537 · Cited by 2,200 · cited 2×
“Fire is expected to become increasingly prevalent in many ecosystems due to climate change (Flannigan et al 2009, Jolly et al 2015).”
BackgroundThe 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
Ecology of sprouting in woody plants: the persistence niche
Bond, W. J., & Midgley, J. J. (2001) · Trends in Ecology & Evolution · doi:10.1016/s0169-5347(00)02033-4 · Cited by 1,500
Implications of changing climate for global wildland fire
Flannigan, M. D., Krawchuk, M. A., de Groot, W. J., Wotton, B. M., & Gowman, L. M. (2009) · International Journal of Wildland Fire · doi:10.1071/wf08187 · Cited by 1,460
Unprecedented 21st century drought risk in the American Southwest and Central Plains
Cook, B. I., Ault, T. R., & Smerdon, J. E. (2015) · Science Advances · doi:10.1126/sciadv.1400082 · Cited by 1,445
A Project for Monitoring Trends in Burn Severity
Eidenshink, J., Schwind, B., Brewer, K., Zhu, Z.-L., Quayle, B., & Howard, S. (2007) · Fire Ecology · doi:10.4996/fireecology.0301003 · Cited by 1,423
Basic principles of forest fuel reduction treatments
Agee, J. K., & Skinner, C. N. (2005) · Forest Ecology and Management · doi:10.1016/j.foreco.2005.01.034 · Cited by 1,397
Metadata
- Authors
- Hood, S. M., Varner, J. M., van Mantgem, P., & Cansler, C. A.
- Venue
- Environmental Research Letters
- Publisher
- IOP Publishing
- Published
- 2018-11-15
- Volume
- 13
- Issue
- 11
- Pages
- 113004
- ISSN
- 1748-9326 (ISSN-L)
- OpenAlex
- W2901150385
- Cited by
- 258
- References
- 123
- FWCI
- 12.38
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.