2019
DOI: 10.1071/wf18189
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Impacts of wildland fire effects on resources and assets through expert elicitation to support fire response decisions

Abstract: A modelling framework to spatially score the impacts from wildland fire effects on specific resources and assets was developed for and applied to the province of Ontario, Canada. This impact model represents the potential ‘loss’, which can be used in the different decision-making methods common in fire response operations (e.g. risk assessment, decision analysis and expertise-based). Resources and assets considered include point features such as buildings, linear features such as transmission lines, and areal … Show more

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Cited by 22 publications
(16 citation statements)
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“…In practice, we often aim to stimulated deliberative thought with a pilot round asking experts to identify control locations and containment polygons for various ignition scenarios, and then expand to the landscape scale through discussion, feedback, and iteration. Improving processes and ensuring rigor in elicitation of expert judgment remain an important research direction [31,71].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In practice, we often aim to stimulated deliberative thought with a pilot round asking experts to identify control locations and containment polygons for various ignition scenarios, and then expand to the landscape scale through discussion, feedback, and iteration. Improving processes and ensuring rigor in elicitation of expert judgment remain an important research direction [31,71].…”
Section: Discussionmentioning
confidence: 99%
“…In recent years, the fire science community has developed a wide range of operationally focused assessment and planning tools. This body of work includes various risk assessment tools to estimate the social and ecological consequences of fire [29][30][31][32][33]; models of suppression difficulty, resistance to control, and potential fire control locations that speak to firefighting challenges and opportunities [34][35][36][37][38]; and models of fire responder safety zones, escape routes, and falling tree (snag) hazards to help suppression resources avoid harm [39][40][41][42]. Despite the proliferation of risk-based information, its use in fire management and decision support remains limited in part due to the lack of attention paid towards engineering the delivery and communication of this information to key users and decision makers [43,44].…”
Section: Introductionmentioning
confidence: 99%
“…Wildfire management agencies generally employ a risk-based approach where the potential impact(s), likelihood, and resulting expected loss or benefit are assessed at the appropriate scale according to the complexity of the wildfire situation [ 26 , 52 , 53 ]. Decisions often involve multiple decision-makers and stakeholders with varying perspectives concerning risk [ 23 , 26 ]. Decisions are not static and are frequently updated through an iterative process of determining and taking actions, monitoring outcomes, and revising actions until the situation is resolved [ 53 ].…”
Section: Wildfire Management Needs Assessmentmentioning
confidence: 99%
“…Wildfires that are threatening communities and critical infrastructure are prioritized for suppression action over remote wildfires where there is more opportunity for the natural ecological role of wildfire on the landscape [ 23 ]. Therefore, these wildfires more frequently grow larger and are generally managed through modified tactics (e.g., continuous mapping and monitoring; [ 14 ]).…”
Section: Introductionmentioning
confidence: 99%
“…Optimal strategies for human and ecological values differed in some studies (Driscoll et al, 2016), but not others (Bentley and Penman, 2017). Most studies have focused on only one or two case study regions (Bradstock et al, 2012b;Thompson et al, 2013;Driscoll et al, 2016;Bentley and Penman, 2017;Florec et al, 2019;McFayden et al, 2019;Cirulis et al, 2020) making it difficult to generalize results. The performance of prescribed burning strategies needs to be systematically assessed in relation to these variations given the likely variation in potential effectiveness of prescribed burning in influencing fire behavior, along with differing configurations of assets and management values.…”
Section: Introductionmentioning
confidence: 99%