@article{moritz_wildfires_2005,
	title = {Wildfires, complexity, and highly optimized tolerance},
	volume = {102},
	url = {https://www.pnas.org/doi/10.1073/pnas.0508985102},
	doi = {10.1073/pnas.0508985102},
	abstract = {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.},
	number = {50},
	urldate = {2023-11-27},
	journal = {Proceedings of the National Academy of Sciences},
	author = {Moritz, Max A. and Morais, Marco E. and Summerell, Lora A. and Carlson, J. M. and Doyle, John},
	month = dec,
	year = {2005},
	note = {Publisher: Proceedings of the National Academy of Sciences},
	keywords = {notion},
	pages = {17912--17917},
}

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