Estimating suppression expenditures for individual large wildland fires

被引:87
作者
Gebert, Krista M. [1 ]
Calkin, David E.
Yoder, Jonathan
机构
[1] USDA, US Forest Serv, Rocky Mt Res stn, Missoula, MT 59807 USA
[2] Washington State Univ, Sch Econ Sci, Pullman, WA 99164 USA
来源
WESTERN JOURNAL OF APPLIED FORESTRY | 2007年 / 22卷 / 03期
关键词
regression analysis; cost; fire characteristics;
D O I
10.1093/wjaf/22.3.188
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
The extreme cost of fighting wildland fires has brought fire suppression expenditures to the forefront of budgetary and policy debate in the United States. inasmuch as large fires are responsible for the bulk of fire suppression expenditures, understanding fire characteristics that influence expenditures is important for both strategic fire planning and onsite fire management decisions. These characteristics then can be used to produce estimates of suppression expenditures for large wildland fires for use in wildland fire decision support or after-fire reviews. The primary objective of this research was to develop regression models that could be used to estimate expenditures on large wildland fires based on area burned, variables representing the fire environment, values at risk, resource availability, detection time, and National Forest System region. Variables having the largest influence on cost included fire intensity level, area burned, and total housing value within 20 mi of ignition. These equations were then used to predict suppression expenditures on a set of fiscal year 2005 Forest Service fires for the purpose of detecting "extreme" cost fires-those fires falling more than 1 or 2 SDs above or below their expected value.
引用
收藏
页码:188 / 196
页数:9
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