Pathways for climate change effects on fire: models, data, and uncertainties
Abstract
Fire is a global process affecting both the biosphere and the atmosphere. As a result, measuring rates of change in wildland fire and understanding the mechanisms responsible for such changes are important research goals. A large body of modeling studies projects increases in wildfire activity in future decades, but few empirical studies have documented change in modern fire regimes. Identifying generalizable pathways through which climate change may alter fire regimes is a critical next step for understanding, measuring, and modeling fire under a changing climate. In this progress report, I review recent model-, empirical-, and fire history-based studies of fire and climate change and propose three pathways along which fire regimes might respond to climate change: changes in fuel condition, fuel volume, and ignitions. Model- and empirical-based studies have largely focused on changes in fuel condition with some models projecting up to 50% increases in area burned under a 2 x CO 2 climate. Fire history data derived from tree-rings, sediment charcoal, and soil charcoal have helped identify past trajectories of change in fire regimes and can point to possible future conditions. However, most fire history research has focused on changes in area burned and fire frequency. Changes in fire severity may be equally important for the earth system and require further attention. Critical research needs include next generation dynamic vegetation models (DGVMs) that consider changes in vegetation alongside changes in human activities and long fire history records from a variety of vegetation types suitable for validating these DGVMs.
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Historically, many high elevation sites in California rarely burned because of long-lasting snowpack.
“Historically, many high elevation sites in California rarely burned because of long-lasting snowpack [55].”
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 [55]
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The role of defensible space for residential structure protection during wildfires
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Measures of forest fire smoke exposure and their associations with respiratory health outcomes
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Wildfire Ignitions: A Review of the Science and Recommendations for Empirical Modeling
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- Authors
- Hessl, A. E.
- Affiliations
- West Virginia University (US)
- Corresponding author
- Hessl, Amy E.
- ORCID
- Hessl, Amy E.
- Venue
- Progress in Physical Geography: Earth and Environment
- Publisher
- SAGE Publications
- Published
- 2011-06
- Volume
- 35
- Issue
- 3
- Pages
- 393-407
- ISSN
- 0309-1333 (ISSN-L)
- 1477-0296
- OpenAlex
- W1978300551
- Cited by
- 100
- References
- 128
- Citations by year
- 2026: 1 · 2024: 3 · 2023: 2 · 2022: 9 · 2021: 3 · 2020: 6 · 2019: 3 · 2018: 7 · 2017: 3 · 2016: 12 · 2015: 11 · 2014: 14 · 2013: 12 · 2012: 11
- FWCI
- 10.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Progress in Physical Geography Earth and Environment (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
- Physical Sciences › Environmental Science › Ecology › Rangeland and Wildlife Management
- Keywords
- climate change, forest fires, fire regimes, fuel conditions, ignition, fire history, tree-ring records, soil charcoal, dynamic global vegetation models, fire severity, burned area, fire frequency
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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