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Human influence on the abundance and connectivity of high-risk fuels in mixed forests of northern Wisconsin, USA

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Abstract

Though fire is considered a “natural” disturbance, humans heavily influence modern wildfire regimes. Humans influence fires both directly, by igniting and suppressing fires, and indirectly, by either altering vegetation, climate, or both. We used the LANDIS disturbance and succession model to compare the relative importance of a direct human influence (suppression of low intensity surface fires) with an indirect human influence (timber harvest) on the long-term abundance and connectivity of high-risk fuel in a 2791 km2 landscape characterized by a mixture of northern hardwood and boreal tree species in northern Wisconsin. High risk fuels were defined as a combination of sites recently disturbed by wind and sites containing conifer species/cohorts that might serve as “ladder fuel” to carry a surface fire into the canopy. Two levels of surface fire suppression (high/current and low) and three harvest alternatives (no harvest, hardwood emphasis, and pine emphasis) were compared in a 2×3 factorial design using 5 replicated simulations per treatment combination over a 250-year period. Multivariate analysis of variance indicated that the landscape pattern of high-risk fuel (proportion of landscape, mean patch size, nearest neighbor distance, and juxtaposition with non fuel sites) was significantly influenced by both surface fire suppression and by forest harvest (p > 0.0001). However, the two human influences also interacted with each other (p < 0.001), because fire suppression was less likely to influence fuel connectivity when harvest disturbance was simultaneously applied. Temporal patterns observed for each of seven conifer species indicated that disturbances by either fire or harvest encouraged the establishment of moderately shade-tolerant conifer species by disturbing the dominant shade tolerant competitor, sugar maple. Our results conflict with commonly reported relationships between fire suppression and fire risk observed within the interior west of the United States, and illustrate the importance of understanding key interactions between natural disturbance, human disturbance, and successional responses to these disturbance types that will eventually dictate future fire risk.

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References

  • Aber J.D. and Melillo J.M. 1991. Terrestrial Ecosystems. Saunders College Publishing, Philadelphia, Pennsylvania, USA, 429 pp.

    Google Scholar 

  • Almendinger J.C. and Hanson D.S. 1998. Ecological land classification handbook for the northern Minnesota Drift and Lake Plain and the Chippewa National Forest. Minnesota Department of Natural Resources.

  • Borman F.H. and Likens G.E. 1979. Catastrophic disturbance and the steady state in northern hardwood forests. American Scientist 67: 660–669.

    Google Scholar 

  • Burns R.M. and Honkala B.H. 1990. Silvics of North America: 1. Conifers; 2. Hardwoods. Agriculture Handbook 654. U.S. Department of Agriculture, Forest Service, Washington, DC, USA, 877 pp.

    Google Scholar 

  • Canham C.D., and Loucks O.L. 1984. Catastrophic windthrow in the presettlement forests of Wisconsin. Ecology 65: 803–809.

    Google Scholar 

  • Cardille J.A. and Ventura S.J. 2001. Occurrence of Wildfire in the Northern Great Lakes Region: Effects of Land Cover and Land Ownership Assessed at Multiple Scales. International Journal of Wildland Fire 10: 145–154.

    Article  Google Scholar 

  • Cardille J.A., Ventura S.J., and Turner M.G. 2001. Environmental and Social Factors Influencing Wildfires in the Upper Midwest, United States. Ecological Applications 11: 111–127.

    Google Scholar 

  • Cleland D.T., Crow T.R., Saunders S.C., Dickmann D.I., Maclean A.L. and Brosofske K.D. 2004. Characterizing historical and modern fire regimes in the Lakes States: A landscape ecosystem approach. Landscape Ecology 19: this issue.

  • Cleland D.T., Avers P.E., McNab W.H., Jensen M.E., Bailey R.G., King T., and Russell W.E. 1997. National Hierarchical Framework of Ecological Units. In: Boyce M.S. and Haney A. (eds), Ecosystem Management: Applications for Sustainable Forest and Wildlife Resources. Yale University Press, New Haven, Connecticut, USA, pp. 181–200.

    Google Scholar 

  • Cumming S.G. 2001. Forest type and wildfire in the Alberta boreal mixedwood: What do fires burn? Ecological Applications 11: 97–110.

    Google Scholar 

  • Curtis J. T. 1959. The vegetation of Wisconsin. University of Wisconsin Press, Madison, Wisconsin, USA.

    Google Scholar 

  • Frelich L.E. and Reich P.B. 1995. Neighborhood effects, disturbance, and succession in forests of the western Great Lakes region. Ecoscience 2: 148–158.

    Google Scholar 

  • Frelich L.E. and Reich P.B. 1999. Neighborhood effects, disturbance severity, and community stability in forests. Ecosystems 2: 151–166.

    Article  Google Scholar 

  • Frelich L.E. and Lorimer C.G. 1991. Natural Disturbance Regimes of the Upper Great Lakes Region. Ecological Monographs 61: 145–164.

    Google Scholar 

  • Gustafson E.J., Shifley S.R., Mladenoff D.J., Nimerfro K.K., and He H.S. 2000. Spatial Simulation of Forest Succession and Timber Harvesting Using LANDIS. Canadian Journal of Forest Research 30: 32–43.

    Article  Google Scholar 

  • Gustafson E.J. 1998. Quantifying landscape spatial pattern: What is the state of the art? Ecosystems 1: 143–156.

    Article  Google Scholar 

  • Gustafson E. J., Zollner P.A., He H.S., Sturtevant B.R., and Mladenoff D. J. 2004. Influence of forest management alternatives and land type on susceptibility to fire in northern Wisconsin, USA. Landscape Ecology 19: this issue.

  • Hansen M.H. 1992. The Eastwide forest inventory data base: user’s manual. USDA Forest Service, General Technical Report NC-151.

  • He H.S. and Mladenoff D.J. 1999. Spatially explicit and stochastic simulation of forest-landscape fire disturbance and succession. Ecology 80: 81–99.

    Google Scholar 

  • He H.S., Mladenoff D.J., and Boeder J. 1999a. An object-oriented forest landscape model and its representation of tree species. Ecological Modelling 119: 1–19.

    Article  Google Scholar 

  • He H.S., Mladenoff D.J., and Crow T.R. 1999b. Linking an ecosystem model and a landscape model to study forest species response to climate warming. Ecological Modelling 114: 213–233.

    Google Scholar 

  • Heinselman M.L. 1954. The extent of natural conversion to other species in the Lake States aspen-birch type. Journal of Forestry 52: 737–738.

    Google Scholar 

  • Heinselman M.L. 1973. Fire in the virgin forests of the Boundary Waters Canoe Area, Minnesota. Quaternary Research 3: 329–382.

    Article  Google Scholar 

  • Hessburg P.F., Smith B.G., and Salter R.B. 1999. Detecting change in forest spatial patterns from reference conditions. Ecological Applications 9: 1232–1252.

    Google Scholar 

  • Holling C.S. and Meffe G.K. 1996. Command and control and the pathology of natural resource management. Conservation Biology 10: 328–337

    Article  Google Scholar 

  • Host G.E., Polzer P.L., Mladenoff D.J., and Crow T.R. 1996. A quantitative approach to developing regional ecosystem classifications. Ecological Applications 6: 608–618.

    Google Scholar 

  • Johnson E.A., Miyanishi K., Bridge S.R.J. 2001. Wildfire Regime in the boreal forest and the idea of suppression and fuel buildup. Conservation Biology 15: 1554–1557

    Article  Google Scholar 

  • Kafka V., Gauthier S., and Bergeron Y. 2001. Fire impacts and crowning in the boreal forest: Study of a large wildfire in western Quebec. International Journal of Wildland Fire 10: 119–127.

    Article  Google Scholar 

  • Keys J. Jr., Carpenter C., Hooks S., Koenig F., McNab W.H., Russell W., and Smith M.L. 1995. Ecological units of the eastern United States: first approximation. USDA Forest Service Southern Region, Atlanta, Georgia, USA, 83 pp.

    Google Scholar 

  • Lillesand T., Chipman J., Nagel D., Reese H., Bobo M., and Goldman R. 1998. Upper Midwest Gap Analysis Program image processing protocol. U.S. Geological Survey, Onalanska, Wisconsin, USA.

    Google Scholar 

  • Maclean Ann L. and Cleland David T. 2003. Determining the spatial extent of historical fires with geostatistics in northern lower Michigan. In: Fire, fuel treatments, and ecological restoration. Conference proceedings; 2002 April 16–18. Omi, Philip N.; Joyce, Linda A., tech. eds. Fort Collins, CO. Proc. RMRS-P-29. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, Colorado, USA, pages 289–300.

    Google Scholar 

  • McGarigal K., and Marks B.J. 1995. FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. General Technical Report PNW-GTR-351, USDA Forest Service, Pacific Northwest Research Station, Portland, Oregon, USA.

    Google Scholar 

  • McCune B. 1988. Ecological diversity in North American pines. American Journal of Botany 75: 353–368.

    Google Scholar 

  • Miller C. and Urban D.L. 2000. Modeling the effects of fire management alternatives on Sierra Nevada mixed-conifer forests. Ecological Applications 10: 85–94.

    Google Scholar 

  • Mladenoff D.J. and Baker W.L. (eds), 1999. Spatial modeling of forest landscape change: approaches and applications. Cambridge University Press, Cambridge, UK, pp. 125–162.

    Google Scholar 

  • Mladenoff D.J. and He H.S. 1999. Design, behavior and application of LANDIS, an object-oriented model of forest landscape disturbance and succession. In: Mladenoff D.J. and Baker W.L. (eds), Spatial modeling of forest landscape change: approaches and applications. Cambridge University Press, Cambridge, UK, pp. 125–162.

    Google Scholar 

  • Mladenoff D.J. and Pastor J. 1993. Sustainable forest ecosystems in the northern hardwood and conifer forest region: concepts and management. In: Aplet G.H., Johnson N., Olson J.T., and Sample V.A. (eds), Defining sustainable forestry. Island Press, Washington D.C., USA, pp. 145–180.

    Google Scholar 

  • Mladenoff D.J. and Stearns F. 1993. Eastern hemlock regeneration and deer browsing in the northern Great Lakes region: A re-examination and model simulation. Conservation Biology 7: 889–900.

    Article  Google Scholar 

  • Mladenoff D.J., White M.A., Pastor J., and Crow T.R. 1993. Comparing spatial pattern in unaltered old-growth and disturbed forest landscapes. Ecological Applications 3: 294–306.

    Google Scholar 

  • Moore M.M., Covington W.W., and Fulé P.Z. 1999. Reference conditions and ecological restoration: A southwestern ponderosa pine perspective. Ecological Applications 9: 1266–1277.

    Google Scholar 

  • Mutch R.W. 1995. Restoring forest health: Do we have the will to apply science findings? In: Proceedings on the conference Forest Health and Fire Danger in Inland Western Forests. American Forests, Washington D.C., USA, pp. 18–22.

    Google Scholar 

  • Pastor J. and Post W.M. 1986. Influence of climate, soil moisture, and succession on forest carbon and nitrogen cycles. Biogeochemistry 2: 3–27.

    Google Scholar 

  • Pastor J. and Mladenoff D.J. 1992. The southern boreal — northern hardwood forest border. Pages 216–240 In: Shugart H.H., Leemans R., and Bonan G.B. (eds), A systems analysis of the global boreal forest. Cambridge University Press, Cambridge, UK.

    Google Scholar 

  • Radeloff V.C., Mladenoff D.J., He H.S., and Boyce M.S. 1999a. Forest landscape change in the northwestern Wisconsin Pine Barrens from pre-European settlement to the present. Canadian Journal of Forest Research 29: 1649–1659.

    Article  Google Scholar 

  • Radeloff V.C., Mladenoff D.J. Manies K.L., and Boyce M.S. 1999b. Analyzing forest landscape restoration potential: Presettlement and current distribution of oak in the northwest Wisconsin Pine Barrens. Transactions of the Wisconsin Academy of Sciences, Arts and Letters 86: 189–205.

    Google Scholar 

  • Romme W.H. 1982. Fire and landscape diversity in subalpine forests of Yellowstone National Park. Ecological Monographs 52: 199–221.

    Google Scholar 

  • Smith T. and Huston M. 1989. A theory of the spatial and temporal dynamics of plant communities. Vegetatio 83: 49–69.

    Article  Google Scholar 

  • Spies T.A., Ripple W.J. and Bradshaw G.A. 1994. Dynamics and pattern of a managed coniferous forest landscape in Oregon. Ecological Applications 4: 555–568

    Google Scholar 

  • Stauffer D. 1985. Introduction to percolation theory. Taylor and Francis, London, UK.

    Google Scholar 

  • Stearns F.W. 1997. History of the Lake States Forests: Natural and human impacts. In: Webster H.H., Vasievich J.M. (eds), Lake States Regional Forest Resources Assessment: Technical Papers. General Technical Report NC-189. USDA Forest Service, North Central Forest Experiment Station, St. Paul, Minnesota, USA, pp. 8–29.

    Google Scholar 

  • Stephenson N.L. 1999. Reference conditions for giant sequoia forest restoration: Structure, process, and precision. Ecological Applications 9: 1253–1265.

    Google Scholar 

  • Turner M.G., Gardner R.H., Dale V.H., and O’Neill R.V. 1989. Predicting the spread of disturbance across heterogeneous landscapes. Oikos 55: 121–129.

    Google Scholar 

  • Wolter P.T., Mladenoff D.J., Host G.E., and Crow T.R. 1995. Improved forest classification in the northern lake states using multi-temporal Landsat imagery. Photogrammetric Engineering and Remote Sensing 61: 1129–1143.

    Google Scholar 

  • U.S. Department of Agriculture. 1994. State Soil Geographic (STATSGO) data base: data use information. USDA Natural Resources Conservation Service, National Soil Survey Ctr. Misc. Pub. 1492. 74 p

  • Zar J.H. 1999. Biostatistical Analysis. Prentice-Hall Inc. Upper Saddle River, USA.

    Google Scholar 

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Authors and Affiliations

  1. USDA Forest Service, North Central Research Station, 5985 Highway K, Rhinelander, WI, 54501, USA

    Brian R. Sturtevant, Patrick A. Zollner, Eric J. Gustafson & David T. Cleland

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  1. Brian R. Sturtevant
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  2. Patrick A. Zollner
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  3. Eric J. Gustafson
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  4. David T. Cleland
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Correspondence to Brian R. Sturtevant.

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Sturtevant, B.R., Zollner, P.A., Gustafson, E.J. et al. Human influence on the abundance and connectivity of high-risk fuels in mixed forests of northern Wisconsin, USA. Landscape Ecol 19, 235–253 (2004). https://doi.org/10.1023/B:LAND.0000030420.87498.f7

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