Human and biophysical factors influencing modern fire disturbance in northern Wisconsin
Brian R. Sturtevant A C and David T. Cleland BA Northern Research Station, USDA Forest Service, 5985 Hwy K, Rhinelander, WI 54501, USA.
B Southern Research Station, Eastern Regional Office, USDA Forest Service, Federal Building, 68 S. Stevens Street, Rhinelander, WI 54501, USA.
C Corresponding author. Email: bsturtevant@fs.fed.us
International Journal of Wildland Fire 16(4) 398-413 https://doi.org/10.1071/WF06023
Submitted: 28 February 2006 Accepted: 3 February 2007 Published: 20 August 2007
Abstract
Humans cause most wildfires in northern Wisconsin, but interactions between human and biophysical variables affecting fire starts and size are not well understood. We applied classification tree analyses to a 16-year fire database from northern Wisconsin to evaluate the relative importance of human v. biophysical variables affecting fire occurrence within (1) all cover types, and (2) within forest types in each of four different fire size groupings (all fires; fires ≥0.4 ha (1 acre); fires ≥4 ha (10 acres); fires ≥16 ha (40 acres)). Housing density was the most important indicator of fire observations. Increasing minimum fire size increased the relative importance of biophysical variables. Key biophysical variables included land cover type, soil moisture indicators, and an index of presettlement fire rotation associated with glacial landforms. Our results indicate the likelihood of fire starts is primarily influenced by human activity in northern Wisconsin, whereas biophysical factors determine whether those fire starts become large fires. Important interactions between human and biophysical variables were observed for nearly all fire types and size thresholds examined. Our results have implications for both ecological restoration and the management of fire risk within historically fire-prone systems currently experiencing rapid rural development.
Additional keywords: anthropogenic fire, biophysical units, modern fire regime, presettlement fire rotation, rural development, wildfire occurrence.
Acknowledgements
This research was funded through a grant from the National Fire Plan. We thank Gary Steffen, WI DNR, and Janis Hancock, US Forest Service, and Jeff Cardille, University of Wisconsin-Madison for their assistance in compiling the Wisconsin fire database. Roger Hammer (Oregon State University) and Volker Radeloff (University of Wisconsin-Madison) provided the block-level census data. Brian Miranda (US Forest Service) assembled the spatial data layers and performed the spatial data extractions. Thanks also to Maureen Mislivets for her assistance in compiling the spatial datasets, and both Jeff Cardille and Sari Saunders for their expertise and guidance with fire data analyses. John Stanovick provided helpful guidance on the classification tree analyses. Sari Saunders, Kim Brosofske, Eric Gustafson, and two anonymous reviewers provided valuable comments on the manuscript.
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