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Cited by 391

The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.

Spatial and temporal expansion of global wildland fire activity in response to climate change

Open access
Senande-Rivera, Martín, Insua-Costa, Damián, Miguez-Macho, Gonzalo·2022·Nature Communications

Abstract

Global warming is expected to alter wildfire potential and fire season severity, but the magnitude and location of change is still unclear. Here, we show that climate largely determines present fire-prone regions and their fire season. We categorize these regions according to the climatic characteristics of their fire season into four classes, within general Boreal, Temperate, Tropical and Arid climate zones. Based on climate model projections, we assess the modification of the fire-prone regions in extent and fire season length at the end of the 21st century. We find that due to global warming, the global area with frequent fire-prone conditions would increase by 29%, mostly in Boreal (+111%) and Temperate (+25%) zones, where there may also be a significant lengthening of the potential fire season. Our estimates of the global expansion of fire-prone areas highlight the large but uneven impact of a warming climate on Earth’s environment.

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Metadata

Authors
Senande-Rivera, M., Insua-Costa, D., & Miguez-Macho, G.
Venue
Nature Communications
Published
2022-03-08
Volume
13
Issue
1
Pages
1208-1208
ISSN
2041-1723 (ISSN-L)
OpenAlex
W4220856005
Cited by
391
References
65
FWCI
29.31
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Spatial and temporal expansion of global wildland fire activity in response to climate change. https://app.cochat.ai/papers/10.1038/s41467-022-28835-2
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Senande-Rivera, M., Insua-Costa, D., & Miguez-Macho, G. (2022). Spatial and temporal expansion of global wildland fire activity in response to climate change. Nature Communications. https://doi.org/10.1038/s41467-022-28835-2

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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.