Environmental drivers of large, infrequent wildfires: The emerging conceptual model
Abstract
Large, infrequent fires (LIFs) can have substantial impacts on both ecosystems and the economy. To better understand LIFs and to better predict the effects of human management and climate change on their occurrence, we must first determine the factors that produce them. Here, we review local and regional literature investigating the drivers of LIFs. The emerging conceptual model proposes that ecosystems can be typified based on climatic conditions that determine both fuel moisture and fuel amount. The concept distinguishes three ecosystem types: (1) biomass-rich, rarely dry ecosystems where fuel moisture rather than fuel amount limits LIFs; (2) biomass-poor, at least seasonally dry ecosystems where fuel amount rather than fuel moisture limits LIFs; and (3) biomass-poor, rarely dry ecosystems where both fuel amount and fuel moisture limit the occurrence of LIFs. Our main goal in this paper is to discuss the drivers of LIFs and the three mentioned ecosystem types in a global context. Further, we will discuss the drivers that are not included within the `fuels' versus `climate' discussion. Finally, we will address the question: what kinds of additional information are needed if models predicting LIFs are to be coupled with global climate models? As with all generalizations, there are local deviations and modifications due to processes such as disturbance interaction or human impact. These processes tend to obscure the general patterns of the occurrence of LIFs and are likely to cause much of the observed controversy and confusion in the literature.
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The use of GFLD and PCM projections can be thought as contrasted future climatic bookends.
“The use of GFLD and PCM projections can be thought as contrasted future climatic bookends [9,46,54].”
From Incorporating Anthropogenic Influences into Fire Probability Models: Effects of Human Activity and Climate Change on Fire Activity in California (2016) · cites this paper as [54]
Fuel and weather show opposite trends along a productivity gradient: low-productivity environments usually do not produce enough fuel, whereas in high-biomass environments the fuel is usually too wet to burn.
“Fuel and weather show opposite trends along a productivity gradient: low-productivity environments usually do not produce enough fuel, whereas in high-biomass environments the fuel is usually too wet to burn.”
From Defining pyromes and global syndromes of fire regimes (2013) · cites this paper as [10]
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References 126 · Cited by 228
- Authors
- Meyn, A., White, P. S., Buhk, C., & Jentsch, A.
- Affiliations
- Potsdam Institute for Climate Impact Research (DE)
- University of North Carolina at Chapel Hill (US)
- Martin Luther University Halle-Wittenberg (DE)
- Helmholtz Centre for Environmental Research (DE)
- Venue
- Progress in Physical Geography: Earth and Environment
- Publisher
- SAGE Publications
- Published
- 2007-06
- Volume
- 31
- Issue
- 3
- Pages
- 287-312
- ISSN
- 0309-1333 (ISSN-L)
- 1477-0296
- OpenAlex
- W2118298886
- Cited by
- 228
- References
- 126
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 8 · 2023: 22 · 2022: 9 · 2021: 9 · 2020: 16 · 2019: 9 · 2018: 14 · 2017: 16 · 2016: 17 · 2015: 16 · 2014: 22 · 2013: 15 · 2012: 10
- FWCI
- 6.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Progress in Physical Geography Earth and Environment (publishedVersion)
- ERef Bayreuth (University of Bayreuth) (submittedVersion)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Environmental Science › Global and Planetary Change › Forest Management and Policy
- Physical Sciences › Environmental Science › Ecology › Rangeland and Wildlife Management
- Keywords
- wildfire drivers, fuel moisture content, ecosystem typology, climate and fire, biomass, fire prediction, climate change impacts on fire, disturbance interactions, human impact on fire, conceptual model
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