2014
DOI: 10.1016/j.foreco.2014.09.017
|View full text |Cite
|
Sign up to set email alerts
|

Analyzing the transmission of wildfire exposure on a fire-prone landscape in Oregon, USA

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
56
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 63 publications
(57 citation statements)
references
References 42 publications
1
56
0
Order By: Relevance
“…Consistent with other studies, this study showed that increasing the area of fuel treatment in a landscape resulted in a decrease in future wildfire extent and burn probability to assets (Ager et al 2007;Finney 2007;King et al 2008;Boer et al 2009;Wu et al 2013;Ager et al 2014;Penman et al 2014;Price et al 2015b;Salis et al 2016).…”
Section: Discussionsupporting
confidence: 90%
“…Consistent with other studies, this study showed that increasing the area of fuel treatment in a landscape resulted in a decrease in future wildfire extent and burn probability to assets (Ager et al 2007;Finney 2007;King et al 2008;Boer et al 2009;Wu et al 2013;Ager et al 2014;Penman et al 2014;Price et al 2015b;Salis et al 2016).…”
Section: Discussionsupporting
confidence: 90%
“…We used a response function (RF) to approximate structure susceptibility (potential losses) using fire intensity level model outputs [36]. To generate a customized RF for residential houses in the study area, we used the Delphi method [69].…”
Section: Expert Judgement Of Structure Susceptibilitymentioning
confidence: 99%
“…Fire intensity is the main causative factor of home loss given that a fire reaches a housing structure, and therefore in the questionnaire, potential value loss of structures (as a percentage) was associated to four different fire intensity class response functions (intensity levels of FIL 1 , FIL 2 -FIL 4 , FIL 5 -FIL 7 , and FIL 8 -FIL 20 ). The four fire intensity classes were selected considering previous studies and the capabilities of existing geospatial tools to integrate the fire modeling outputs with potential fire effects [36,49]. In the first round of the questionnaire process, the experts filled the questionnaire anonymously according to their own personal experience to reduce the effect of dominant individuals.…”
Section: Expert Judgement Of Structure Susceptibilitymentioning
confidence: 99%
See 1 more Smart Citation
“…Significant recent improvements in spatial risk analysis help prioritize and target areas where fuel treatments are more likely to be effective and efficient at mitigating risk [25][26][27][28][29][30][31]. Embracing risk management and upstream planning (before a fire ignites) has the benefits of buying time and expanding option space once an ignition occurs [32] and is consistent with principles of effective fire management planning developed using the best available science and information [33].…”
Section: Introductionmentioning
confidence: 99%