Estimating the consequences of wildfire for wildfire risk assessment, a case study in the southern Gulf Islands, British Columbia, Canada

被引:14
作者
Tutsch, Matthew [1 ]
Haider, Wolfgang [1 ]
Beardmore, Ben [1 ,2 ]
Lertzman, Kenneth [1 ]
Cooper, Andrew B. [1 ]
Walker, Robert C. [3 ]
机构
[1] Simon Fraser Univ, Sch Resource & Environm Management, Burnaby, BC V5A 1S6, Canada
[2] Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Biol & Ecol Fishes, D-12587 Berlin, Germany
[3] Gulf Isl Natl Pk Reserve, Sidney, BC V8L 2P6, Canada
关键词
MANAGEMENT; VALUES; MODELS; WORST;
D O I
10.1139/X10-159
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Wildfire risk assessment research has made considerable progress towards estimating the probability of wildfires but comparatively little progress towards estimating the expected consequences of potential fires. One challenge with estimating wildfire consequences has been to identify a common metric that can be applied to consequences measured in different units. In this paper, we use the preferences of representatives of local fire management agencies as the common consequences metric and apply it to a case study in the southern Gulf Islands, British Columbia, Canada. The method uses an expert survey and a maximum-difference conjoint analysis to establish the relative importance of specific fire consequences. A fire with a major potential for loss of life was considered to be about three times worse than major damage to houses and 4.5 times worse than loss of a rare species. Risk ratings were very sensitive to changes in fire consequences ratings. As the complexity of values at risk and number of stakeholders increase, the most efficient allocation of wildfire prevention, protection, and suppression resources becomes increasingly challenging to determine. Thus, as the complexity of stakeholder representation and values at risk increases, we need to pay increasing attention to quantitative methods for measuring wildfire consequences.
引用
收藏
页码:2104 / 2114
页数:11
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[1]  
*5 COUNT ASS GOV, 2007, SW UT REG WILDF PROT
[2]  
Adams RP, 2007, PHYTOLOGIA, V89, P263
[3]   Evaluating public risk preferences in forest land-use choices using multi-attribute utility theory [J].
Ananda, J ;
Herath, G .
ECOLOGICAL ECONOMICS, 2005, 55 (03) :408-419
[4]  
[Anonymous], 1992, CRAFTING I SELF GOVE
[5]  
[Anonymous], 2002, Discrete choice methods with simulation
[6]   How useful is quantitative risk assessment? [J].
Apostolakis, GE .
RISK ANALYSIS, 2004, 24 (03) :515-520
[7]  
*BA BLACKW ASS LTD, 2004, GVRD WAT WILDL RISK
[8]  
*BA BLACKW ASS LTD, 2006, DISTR MAPL RIDG WILD
[9]   Modelling accidental releases of dangerous gases into the lower troposphere from mobile sources [J].
Bernatik, A. ;
Zimmerman, W. ;
Pitt, M. ;
Strizik, M. ;
Nevrly, V. ;
Zelinger, Z. .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2008, 86 (B3) :198-207
[10]   Assessing spatial attributes of forest landscape values: an internet-based participatory mapping approach [J].
Beverly, Jennifer L. ;
Uto, Kinga ;
Wilkes, Justin ;
Bothwell, Peter .
CANADIAN JOURNAL OF FOREST RESEARCH, 2008, 38 (02) :289-303