The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Wildfires, complexity, and highly optimized tolerance
Open accessAbstract
Recent, large fires in the western United States have rekindled debates about fire management and the role of natural fire regimes in the resilience of terrestrial ecosystems. This real-world experience parallels debates involving abstract models of forest fires, a central metaphor in complex systems theory. Both real and modeled fire-prone landscapes exhibit roughly power law statistics in fire size versus frequency. Here, we examine historical fire catalogs and a detailed fire simulation model; both are in agreement with a highly optimized tolerance model. Highly optimized tolerance suggests robustness tradeoffs underlie resilience in different fire-prone ecosystems. Understanding these mechanisms may provide new insights into the structure of ecological systems and be key in evaluating fire management strategies and sensitivities to climate change.
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In the citing paper
“Wildfires occur at the intersection of dry weather, available fuel and ignition sources10.”
From Climate-induced variations in global wildfire danger from 1979 to 2013 (2015) · cites this paper as [10]
In the citing paper
“Global fire regimes are the combined results of available fuel, ignition sources and conducive fire weather10.”
From Climate-induced variations in global wildfire danger from 1979 to 2013 (2015) · cites this paper as [10]
Citations
Cites
Resilience and Stability of Ecological Systems
Holling, C. S. (1973) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.es.04.110173.000245 · Cited by 18,995
The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme
Gould, S. J., & Lewontin, R. C. (1979) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1979.0086 · Cited by 7,770
Self-organized criticality: An explanation of the 1/ f noise
Bak, P., Tang, C., & Wiesenfeld, K. A. (1987) · Physical Review Letters · doi:10.1103/physrevlett.59.381 · Cited by 7,644
Catastrophic shifts in ecosystems
Scheffer, M., Carpenter, S., Foley, J. A., Folke, C., & Walker, B. (2001) · Nature · doi:10.1038/35098000 · Cited by 7,510
The Problem of Pattern and Scale in Ecology: The Robert H. MacArthur Award Lecture
Levin, S. A. (1992) · Ecology · doi:10.2307/1941447 · Cited by 6,830
Organisms as Ecosystem Engineers
Jones, C. G., Lawton, J. H., & Shachak, M. (1994) · Oikos · doi:10.2307/3545850 · Cited by 5,321
Fundamentals of Ecology (1953)
Odum, E. P. (1955) · Yale University Press eBooks · doi:10.12987/9780300188479-022 · Cited by 5,012
Biological Invasions by Exotic Grasses, the Grass/Fire Cycle, and Global Change
D'Antonio, C. M., & Vitousek, P. M. (1992) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.es.23.110192.000431 · Cited by 3,399
Global patterns in biodiversity
Gaston, K. J. (2000) · Nature · doi:10.1038/35012228 · Cited by 3,363
Ecological Resilience—In Theory and Application
Gunderson, L. (2000) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.ecolsys.31.1.425 · Cited by 2,882
Research works printed but not linked: 10
- Strauss, D., Bednar, L. & Mees, R. (1989) For. Sci. 35, 319–328.
- Morais M. E. (2001) Master's thesis (Univ. of California Santa Barbara).
- Zhou T. Carlson J. M. & Doyle J. (2005) J. Theor. Biol. in press.
- Li L. Alderson D. Doyle J. & Willinger W. (2005) Internet Math. in press.
- Finney, M. A. (2001) For. Sci. 47, 219–228.
- Hof, J., Omi, P. N., Bevers, M. & Laven, R. D. (2000) For. Sci. 46, 442–451.
- Donovan, G. H. & Rideout, D. B. (2003) For. Sci. 49, 331–335.
- Huston M. A. (1994) Biological Diversity (Cambridge Univ. Press Cambridge U.K.) pp. 681.
- Zhu X. Yu J. & Doyle J. (2001) Proc. IEEE Infocom. 1617–1626.
- Li, L., Alderson, D., Doyle, J. & Willinger, W. (2005) ACM SIGCOMM Comput. Commun. Rev. 34, 3–14.
Cited by
Sorted by citations
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
Climate Extremes and Compound Hazards in a Warming World
AghaKouchak, A., Chiang, F., Huning, L. S., Love, C. A., Mallakpour, I., Mazdiyasni, O., Moftakhari, H., Papalexiou, S. M., Ragno, E., & Sadegh, M. (2020) · Annual Review of Earth and Planetary Sciences · doi:10.1146/annurev-earth-071719-055228 · Cited by 1,103
Climate change and disruptions to global fire activity
Moritz, M. A., Parisien, M.-A., Batllori, E., Krawchuk, M. A., Van Dorn, J., Ganz, D. J., & Hayhoe, K. (2012) · Ecosphere · doi:10.1890/es11-00345.1 · Cited by 959
Self-citationPausas, J. G., & Keeley, J. E. (2021) · Frontiers in Ecology and the Environment · doi:10.1002/fee.2359 · Cited by 705
Methane Feedbacks to the Global Climate System in a Warmer World
Dean, J. F., Middelburg, J. J., Röckmann, T., Aerts, R., Blauw, L. G., Egger, M., Jetten, M. S. M., de Jong, A. E. E., Meisel, O. H., Rasigraf, O., et al. (2018) · Reviews of Geophysics · doi:10.1002/2017rg000559 · Cited by 684
Metadata
- Authors
- Moritz, M. A., Morais, M. E., Summerell, L. A., Carlson, J. M., & Doyle, J.
- Affiliations
- California Institute of Technology (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2005-12-06
- Volume
- 102
- Issue
- 50
- Pages
- 17912-17917
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC1312407
- OpenAlex
- W2052350246
- Cited by
- 276
- References
- 65
- Citations by year
- 2026: 20 · 2025: 28 · 2024: 16 · 2023: 18 · 2022: 11 · 2021: 24 · 2020: 16 · 2019: 13 · 2018: 13 · 2017: 3 · 2016: 10 · 2015: 15 · 2014: 17 · 2013: 12 · 2012: 13
- FWCI
- 4.13
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Environmental Science › Global and Planetary Change › Ecosystem dynamics and resilience
- Physical Sciences › Physics and Astronomy › Condensed Matter Physics › Theoretical and Computational Physics
- Keywords
- forest fires, fire regimes, fire management, ecosystem resilience, power-law statistics, fire simulation model, complex systems, climate change sensitivity, historical fire records
- MeSH terms
- Computer Simulation, Fires, Models, Theoretical, Ecosystem
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