Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Human and biophysical factors influencing modern fire disturbance in northern Wisconsin

Brian R. Sturtevant A C and David T. Cleland B
+ Author Affiliations
- Author Affiliations

A 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.


References


Andrews PL (1986) ‘BEHAVE: Fire behavior prediction and fuel modeling system-BURN subsystem, Part 1.’ USDA Forest Service, Intermountain Research Station, General Technical Report INT-194. (Ogden, UT)

Atkinson EJ, Therneau TM (2000) ‘An introduction to recursive partitioning using the RPART routines.’ (The Mayo Foundation: Rochester, MN)

Breiman L, Friedman JH, Olshen RA, Stone CG (1984) ‘Classification and regression trees.’ (Wadsworth International Group: Belmont, CA)

Brubaker LB (1975) Post-glacial forest patterns associated with till and outwash in North-central Upper Michigan. Quaternary Research  5, 499–527.
Crossref | GoogleScholarGoogle Scholar | Cleland DT, Avers PE, McNab WH, Jensen ME, Bailey RG, King T, Russell WE (1997) National hierarchical framework of ecological units. In ‘Ecosystem Management: Applications for Sustainable Forest and Wildlife Resources’. (Eds MS Boyce, A Haney) pp. 181–200. (Yale University Press: New Haven, CT)

Cleland DT, Crow TR, Saunders SC, Dickmann DI, Maclean AL, Jordan JK, Watson RL, Sloan AM , Brosofske KD (2004) Characterizing historical and modern fire regimes in Michigan (USA): a landscape ecosystem approach. Landscape Ecology  19, 311–325.
Crossref | GoogleScholarGoogle Scholar | Curtis JT (1971) ‘The Vegetation of Wisconsin: an Ordination of Plant Communities.’ 2nd Printing. (The University of Wisconsin Press: Madison, WI)

De’ath G , Fabricius KE (2000) Classification and regression trees: a powerful yet simple technique for ecological data analysis. Ecology  81, 3178–3192.
Crossref | GoogleScholarGoogle Scholar | Forestry Canada Fire Danger Group (1992) Development and structure of the Canadian Forest Fire Behavior Prediction System. Forestry Canada, Science and Sustainable Development Directorate, Information Report ST-X-3. (Ottawa, ON)

Frelich LE , Reich PB (1995) Spatial patterns and succession in a Minnesota southern-boreal forest. Ecological Monographs  65, 325–346.
Crossref | GoogleScholarGoogle Scholar | Haines DA, Main WA, McNamara EF (1978) Forest fires in Pennsylvania. USDA Forest Service, North Central Research Station, Research Paper RP-NC-158. (St Paul, MN)

Host GE , Pregitzer KS (1991) Ecological species groups for upland forest ecosystems of north-western Lower Michigan. Forest Ecology and Management  43, 87–102.
Crossref | GoogleScholarGoogle Scholar | Maclean AL, Cleland DT (2003) Determining the spatial extent of historical fires with geostatistics in northern lower Michigan. In ‘Fire, Fuel Treatments, and Ecological Restoration: Conference Proceedings’. 16–18 April 2002, Fort Collins, CO. (Technical Eds PN Omi, LA Joyce) USDA Forest Service, Rocky Mountain Research Station, Proceedings RMRS-P-29. (Fort Collins, CO)

McNab WH, Avers PE (1994) Ecological subregions of the United States: section descriptions. USDA Forest Service, Administrative Publication WO-WSA-5. (Washington, DC)

Pastor J, Mladenoff DJ (1992) The southern boreal–northern hardwood forest border. In ‘A Systems Analysis of the Global Boreal Forest’. (Eds HH Shugart, R Leemans, GB Bonan) pp. 216–240. (Cambridge University Press: Cambridge)

Pew KL , Larsen CPS (2001) GIS analysis of spatial and temporal patterns of human-caused wildfires in the temperate rain forest of Vancouver Island, Canada. Forest Ecology and Management  140, 1–18.
Crossref | GoogleScholarGoogle Scholar | Prestemon JP (2006) Identifying time-varying socioeconomic and climate influences on wildfire ignitions on national forests of the US. In ‘Proceedings of the Third International Fire Ecology and Management Congress’, 13–17 November 2006, San Diego, CA. (DVD) (Washington State University: Pullman, WA)

Prestemon JP, Pye JM, Butry DT, Holmes TP , Mercer DE (2002) Understanding broad-scale wildfire risks in a human-dominated landscape. Forest Science  48, 685–693.
Scott SH, Burgan RE (2005) Standard fire behavior fuel models: a comprehensive set for use with Rothermel’s surface fire spread model. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-153. (Fort Collins, CO)

Smith T , Huston M (1989) A theory of the spatial and temporal dynamics of plant communities. Vegetatio  83, 49–69.
Crossref | GoogleScholarGoogle Scholar | Stearns FW (1997) History of the Lake States forests: natural and human impacts. In: ‘Lake States Regional Forest Resources Assessment: Technical Papers’. (Eds JM Vasievich, HH Webster) pp. 8–29. USDA Forest Service, North Central Forest Experiment Station, General Technical Report NC-189. (St Paul, MN)

Stearns F , Likens GE (2002) One hundred years of recovery of a pine forest in northern Wisconsin. American Midland Naturalist  148, 2–19.
Crossref | GoogleScholarGoogle Scholar | Urban DL (2002) Classification and regression trees. In ‘Analysis of Ecological Communities’. (Eds B McCune, JB Grace) pp. 222–232. (MjM Sofware Design: Gleneden Beach, OR)

Vega-Garcia C, Woodard PM, Titus SJ, Adamowicz WL , Lee BS (1995) A logit model for predicting the daily occurrence of human caused forest fires. International Journal of Wildland Fire  5, 101–111.
Crossref | GoogleScholarGoogle Scholar | Wisconsin Department of Natural Resources (1996) ‘Individual Forest Fire Report Handbook.’ State of Wisconsin Department of Natural Resources Report 4305.1. (Madison, WI)