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Cited by 291

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Reburn severity in managed and unmanaged vegetation in a large wildfire

Open access
Thompson, Jonathan R., Spies, Thomas A., Ganio, Lisa M.·2007·Proceedings of the National Academy of Sciences

Abstract

Debate over the influence of postwildfire management on future fire severity is occurring in the absence of empirical studies. We used satellite data, government agency records, and aerial photography to examine a forest landscape in southwest Oregon that burned in 1987 and then was subject, in part, to salvage-logging and conifer planting before it reburned during the 2002 Biscuit Fire. Areas that burned severely in 1987 tended to reburn at high severity in 2002, after controlling for the influence of several topographical and biophysical covariates. Areas unaffected by the initial fire tended to burn at the lowest severities in 2002. Areas that were salvage-logged and planted after the initial fire burned more severely than comparable unmanaged areas, suggesting that fuel conditions in conifer plantations can increase fire severity despite removal of large woody fuels.

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Crossref · 10.1073/pnas.0700229104

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Metadata

Authors
Thompson, J. R., Spies, T. A., & Ganio, L. M.
Venue
Proceedings of the National Academy of Sciences
Published
2007-06-19
Volume
104
Issue
25
Pages
10743-10748
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2149402324
Cited by
291
References
5
FWCI
12.95
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Reburn severity in managed and unmanaged vegetation in a large wildfire. https://app.cochat.ai/papers/10.1073/pnas.0700229104
The paper
Thompson, J. R., Spies, T. A., & Ganio, L. M. (2007). Reburn severity in managed and unmanaged vegetation in a large wildfire. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0700229104

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.