Cited by 33Fire effects on ecosystemsForest Management and PolicyRangeland and Wildlife Management

Fighting fire with fire: estimating the efficacy of wildfire mitigation programs using propensity scores

Butry, David T.·2009·Environmental and Ecological Statistics

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Registry

Crossref · 10.1007/s10651-007-0083-3

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1 of 1 references verified0 citation errors · 0 not checkable

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  • The southern California wildfires of 2003 had estimated economic losses due to wildfire-related mortality of $172.9 million to $1.729 billion.

    “the southern California wildfires of 2003, which had an estimated $172.9 million to $1.729 billion dollars of economic losses due to wildfire related mortality.63”

    From The costs and losses of wildfires: a literature survey (2017) · cites this paper as [63]

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Authors
Butry, D. T.
Affiliations
National Institute of Standards and Technology (US)
Corresponding author
Butry, David T.
Venue
Environmental and Ecological Statistics
Published
2008-03-01
Volume
16
Issue
2
Pages
291-319
ISSN
  • 1352-8505 (ISSN-L)
  • 1573-3009
OpenAlex
W2010380958
Cited by
33
References
1
Citations by year
2026: 2 · 2024: 1 · 2022: 3 · 2021: 1 · 2020: 3 · 2019: 5 · 2018: 1 · 2017: 1 · 2016: 1 · 2015: 4 · 2014: 2 · 2013: 2 · 2012: 3
FWCI
1.20
Type
journal article
Language
en
Open access
closed
Locations
Environmental and Ecological Statistics (publishedVersion)
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 mitigation, fire suppression, fuel management, wildfire behavior, wildfire intensity, natural resource policy, endogeneity, confounding factors, landscape management

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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.

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