The relative impacts of vegetation, topography and spatial arrangement on building loss to wildfires in case studies of California and Colorado

被引:46
作者
Alexandre, Patricia M. [1 ]
Stewart, Susan I. [1 ]
Mockrin, Miranda H. [2 ]
Keuler, Nicholas S. [3 ]
Syphard, Alexandra D. [4 ]
Bar-Massada, Avi [5 ]
Clayton, Murray K. [1 ,3 ]
Radeloff, Volker C. [1 ]
机构
[1] Univ Wisconsin, Dept Forest & Wildlife Ecol, SILVIS Lab, 1630 Linden Dr, Madison, WI 53706 USA
[2] US Forest Serv, Rocky Mt Res Stn, USDA, 240 W Prospect Rd, Ft Collins, CO 80526 USA
[3] Univ Wisconsin, Dept Stat, 1300 Univ Ave, Madison, WI 53706 USA
[4] Conservat Biol Inst, 10423 Sierra Vista Ave, La Mesa, CA 91941 USA
[5] Univ Haifa, Dept Biol & Environm, IL-36006 Qiryat Tivon, Israel
关键词
WUI; Building loss; Wildfires; FRAGSTATS; Logistic regression; Best-subsets; WILDLAND-URBAN INTERFACE; FIRE BEHAVIOR; FUEL BREAKS; WESTERN US; FOREST; PATTERNS; CLIMATE; SEVERITY; GROWTH;
D O I
10.1007/s10980-015-0257-6
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Context Wildfires destroy thousands of buildings every year in the wildland urban interface. However, fire typically only destroys a fraction of the buildings within a given fire perimeter, suggesting more could be done to mitigate risk if we understood how to configure residential landscapes so that both people and buildings could survive fire. Objectives Our goal was to understand the relative importance of vegetation, topography and spatial arrangement of buildings on building loss, within the fire's landscape context. Methods We analyzed two fires: one in San Diego, CA and another in Boulder, CO. We analyzed Google Earth historical imagery to digitize buildings exposed to the fires, a geographic information system to measure some of the explanatory variables, and FRAGSTATS to quantify landscape metrics. Using logistic regression we conducted an exhaustive model search to select the best models. Results The type of variables that were important varied across communities. We found complex spatial effects and no single model explained building loss everywhere, but topography and the spatial arrangement of buildings explained most of the variability in building losses. Vegetation connectivity was more important than vegetation type. Conclusions Location and spatial arrangement of buildings affect which buildings burn in a wildfire, which is important for urban planning, building siting, landscape design of future development, and to target fire prevention, fuel reduction, and homeowner education efforts in existing communities. Landscape context of buildings and communities is an important aspect of building loss, and if taken into consideration, could help communities adapt to fire.
引用
收藏
页码:415 / 430
页数:16
相关论文
共 79 条
  • [1] Basic principles of forest fuel reduction treatments
    Agee, JK
    Skinner, CN
    [J]. FOREST ECOLOGY AND MANAGEMENT, 2005, 211 (1-2) : 83 - 96
  • [2] Rebuilding and new housing development after wildfire
    Alexandre, Patricia M.
    Mockrin, Miranda H.
    Stewart, Susan I.
    Hammer, Roger B.
    Radeloff, Volker C.
    [J]. INTERNATIONAL JOURNAL OF WILDLAND FIRE, 2015, 24 (01) : 138 - 149
  • [3] Andreu A, 2013, 4 FIR BEH FUELS C FE
  • [4] [Anonymous], 2014, Associated Press
  • [5] Wildfire risk in the wildland-urban interface: A simulation study in northwestern Wisconsin
    Bar Massada, Avi
    Radeloff, Volker C.
    Stewart, Susan I.
    Hawbaker, Todd J.
    [J]. FOREST ECOLOGY AND MANAGEMENT, 2009, 258 (09) : 1990 - 1999
  • [6] Barbour M. G., 1999, TERRESTRIAL PLANT EC
  • [7] THE RELATIVE IMPORTANCE OF FUELS AND WEATHER ON FIRE BEHAVIOR IN SUB-ALPINE FORESTS
    BESSIE, WC
    JOHNSON, EA
    [J]. ECOLOGY, 1995, 76 (03) : 747 - 762
  • [8] Boulder County Colorado, 2015, GEOGR INF SYST GIS D
  • [9] How Fire History, Fire Suppression Practices and Climate Change Affect Wildfire Regimes in Mediterranean Landscapes
    Brotons, Lluis
    Aquilue, Nuria
    de Caceres, Miquel
    Fortin, Marie-Josee
    Fall, Andrew
    [J]. PLOS ONE, 2013, 8 (05):
  • [10] Calcagno V., 2013, GLMULTI MODEL SELECT