Using structure locations as a basis for mapping the wildland urban interface.

The wildland urban interface (WUI) delineates the areas where wildland fire hazard most directly impacts human communities and threatens lives and property, and where houses exert the strongest influence on the natural environment. Housing data are a major problem for WUI mapping. When housing data are zonal, the concept of a WUI neighborhood can be captured easily in a density measure, but variations in zone (census block) size and shape introduce bias. Other housing data are points, so zonal issues are avoided, but the neighborhood character of the WUI is lost if houses are evaluated individually. Our goal was to develop a consistent method to map the WUI that is able to determine where neighborhoods (or clusters of houses) exist, using just housing location and wildland fuel data. We used structure and vegetation maps and a moving window analysis, with various window sizes representing neighborhood sizes, to calculate the neighborhood density of both houses and wildland vegetation. Mapping four distinct areas (in WI, MI, CA and CO) the method resulted in amounts of WUI comparable to those of zonal mapping, but with greater precision. We conclude that this hybrid method is a useful alternative to zonal mapping from the neighborhood to the landscape scale, and results in maps that are better suited to operational fire management (e.g., fuels reduction) needs, while maintaining consistency with conceptual and U.S. policy-specific WUI definitions.

[1]  Susan I. Stewart,et al.  Demographic Trends, the Wildland–Urban Interface, and Wildfire Management , 2009 .

[2]  D. Calkin,et al.  Comparing Resource Values at Risk from Wildfires with Forest Service Fire Suppression Expenditures: Examples from 2003 Western Montana Wildfire Season , 2005 .

[3]  Susan I. Stewart,et al.  Conservation Threats Due to Human‐Caused Increases in Fire Frequency in Mediterranean‐Climate Ecosystems , 2009, Conservation biology : the journal of the Society for Conservation Biology.

[4]  Susan I. Stewart,et al.  The wildland-urban interface in the United States based on 125 million building locations. , 2005, Ecological applications : a publication of the Ecological Society of America.

[5]  Susan I. Stewart,et al.  Patterns of houses and habitat loss from 1937 to 1999 in northern Wisconsin, USA. , 2007, Ecological applications : a publication of the Ecological Society of America.

[6]  J. Wickham,et al.  Completion of the 2001 National Land Cover Database for the conterminous United States , 2007 .

[7]  S. Saunders,et al.  Characterizing historical and modern fire regimes in Michigan (USA): A landscape ecosystem approach , 2004, Landscape Ecology.

[8]  Jon D. Rieck,et al.  Built structure identification in wildland fire decision support , 2011 .

[9]  Corinne Lampin-Maillet,et al.  Characterization and mapping of dwelling types for forest fire prevention , 2009, Comput. Environ. Urban Syst..

[10]  R. Platt,et al.  The Wildland-Urban Interface: Evaluating the Definition Effect , 2010 .

[11]  Hong S. He,et al.  Forest landscape change in the northwestern Wisconsin Pine Barrens from pre-European settlement to the present , 1999 .

[12]  Susan I. Stewart,et al.  Defining the Wildland-Urban Interface , 2007 .

[13]  Stan Openshaw,et al.  Modifiable Areal Unit Problem , 2008, Encyclopedia of GIS.

[14]  Avi Bar Massada,et al.  Housing Arrangement and Location Determine the Likelihood of Housing Loss Due to Wildfire , 2012, PloS one.

[15]  V. Radeloff,et al.  A Historical Perspective and Future Outlook on Landscape Scale Restoration in the Northwest Wisconsin Pine Barrens , 2000 .

[16]  Susan I. Stewart,et al.  Human influence on California fire regimes. , 2007, Ecological applications : a publication of the Ecological Society of America.

[17]  Volker C. Radeloff,et al.  Building patterns and landscape fragmentation in northern Wisconsin, USA , 2007, Landscape Ecology.

[18]  W. Romme,et al.  Expansion of the US wildland–urban interface , 2007 .

[19]  Ron Shamir,et al.  Assessing the capabilities of geospatial data to map built structures and evaluate their bushfire threat. , 2009 .

[20]  Carol Miller,et al.  Wildland-Urban Interface Maps Vary with Purpose and Context , 2009, Journal of Forestry.

[21]  Keeley,et al.  Reexamining fire suppression impacts on brushland fire regimes , 1999, Science.

[22]  Corinne Lampin-Maillet,et al.  Mapping wildland-urban interfaces at large scales integrating housing density and vegetation aggregation for fire prevention in the South of France. , 2010, Journal of environmental management.

[23]  David M. Theobald,et al.  Implementation of National Fire Plan treatments near the wildland–urban interface in the western United States , 2009, Proceedings of the National Academy of Sciences.

[24]  Eric Rigolot,et al.  Towards integrated fire management. , 2010 .

[25]  J. Keeley,et al.  Large, high-intensity fire events in southern California shrublands: debunking the fine-grain age patch model. , 2009, Ecological applications : a publication of the Ecological Society of America.

[26]  E. Rigolot,et al.  Towards integrated fire management - outcomes of the European project Fire Paradox. , 2010 .