Canopy damage to conifer plantations within a large mixed-severity wildfire varies with stand age

Forest Ecology and Management

Volumn 262, Issue 3, 2011, Pages 355-360

  Thompson, Jonathan R ^a   Spies, Thomas A ^b   Olsen, Keith A ^c  

^a SMITHSONIAN CONSERVATION BIOLOGY INSTITUTE   (United States)

^b PACIFIC NORTHWEST RESEARCH STATION   (United States)

^c OREGON STATE UNIVERSITY   (United States)

Author keywords

Biscuit Fire; Burn severity; Geostatistical regression; Klamath Mountains; Land use legacy; Random Forest analysis

Indexed keywords

BISCUIT FIRE; BURN SEVERITY; GEOSTATISTICAL REGRESSION; KLAMATH MOUNTAINS; RANDOM FOREST ANALYSIS;

AERIAL PHOTOGRAPHY; DECISION TREES; FIRES; RANDOM VARIABLES; REGRESSION ANALYSIS;

FORESTRY;

AERIAL PHOTOGRAPHY; CANOPY; CONIFEROUS TREE; GEOSTATISTICS; LANDSCAPE; MIXED FOREST; NUMERICAL MODEL; PLANTATION; REFORESTATION; REGRESSION ANALYSIS; STAND STRUCTURE; TOPOGRAPHY; VEGETATION COVER; WILDFIRE;

FOREST CANOPY; FORESTRY; LAND USE; PHOTOGRAPHY; PLANTATIONS; PRECIPITATION; REGRESSION ANALYSIS; SOFTWOODS; WEATHER;

COAST RANGES; KLAMATH MOUNTAINS; UNITED STATES;

CONIFEROPHYTA;

EID: 79958033461     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2011.04.001     Document Type: Article

References (34)

1. Agee J.K. Fire Ecology of Pacific Northwest Forests 1993, Island Press, Washington, DC.
2. Beers T.W., Dress P.E., Wensel L.C. Aspect transformation in site productivity research. Journal of Forestry 1966, 64:691-692.
3. Burnham K.P., Anderson D.R. Model Selection and Multimodel Inference: A Practical Information-theoretic Approach 2002, Springer, New York. second ed.
4. Cutler D.R., Edwards T.C., Beard K.H., Cutler A., Hess K.T., Gibson J., Lawler J.J. Random forests for classification in ecology. Ecology 2007, 88(11):2783-2792.
5. Coops N.C., Waring R.H. Estimating forest productivity in the eastern Siskiyou Mountains of southwestern Oregon using a satellite driven process model, 3-PGS. Canadian Journal of Forest Research 2001, 31:143-154.
6. Daly C., Gibson W.P., Taylor G.H., Johnson G.L., Pasteris P. A knowledge-based approach to the statistical mapping of climate. Climate Research 2002, 22:99-113.
7. Dormann C.F., McPherson J.M., Araújo M.B., Bivand R., Bolliger J., Carl G., Davies R.G., Hirzel A., Jetz W., Kissling W.D., Kühn I., Ohlemüller R., Peres-Neto P.R., Reineking B., Schröder B., Schurr F.M., Wilson R. Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. Ecography 2007, 30(5):609-628.
8. FAO, 2005. Global Forest Resources Assessment 2005: Progress towards Sustainable Forest Management.
9. Finney M.A., McHugh C., Grenfell I.C. Stand- and landscape-level effects of prescribed burning on two Arizona wildfires. Canadian Journal of Forest Research 2005, 35:1714-1722.
10. Franklin J., Dyrness C. Natural Vegetation of Oregon and Washington 1988, OSU Press, Corvallis.
11. Graham, R.L., 2003. Hayman Fire Case Study. USFS General Technical Report RMRS-GTR-114.
12. Graham, R.L., McCaffrey, S., Jain, T.B., 2004. Science Basis for Changing Forest Structure to Modify Wildfire Behavior and Severity. USFS General Technical Report RMRS-GTR-120.
13. Hann, D.W., Scrivani, J.A., 1987. Dominant-height-growth and Site-index Equations for Douglas-fir and Ponderosa Pine in Southwestern Orgeon. Oregon State University, Forest Research Laboratory (Research Bulletin 59).
14. Hanus, M., Hann, D.W., Marshall, D., 2000. Predicting Height to Crown Base for Undamaged and Damaged Trees in Southwest Oregon. Oregon State University, Forest Research Laboratory (RC-29).
15. Jones K.B., Heggem D.T., Wade T.G., Neale A.C., Ebert D.W., Nash M.S., Mehaffey M.H., Hermann K.A., Selle A.R., Augustine S., Goodman I.A., Pedersen J., Bolgrien D., Viger J.M., Chiang D., Lin C.J., Zhong Y., Baker J., Van Remortel R.D. Assessing landscape conditions relative to water resources in the western United States: a strategic approach. Environmental Monitoring and Assessment 2000, 64:227-245.
16. Kobziar L.N., McBride J.R., Stephens S.L. The efficacy of fire and fuels reduction treatments in a Siera Nevada Pine plantation. International Journal of Wildland Fire 2009, 18:791-801.
17. Lawler J.J., White D., Neilson R.P., Blaustein A.R. Predicting climate induced range shifts: model differences and model reliability. Global Change Biology 2006, 12:1568-1584.
18. Liaw A., Wiener M. Classification and regression by random forest. R News 2002, 2:18-22.
19. Odion D., Frost E., Strittholt J., Jiang H., Dellasala D., Moritz M. Patterns of fire severity and forest conditions in the western Klamath Mountains, California. Conservation Biology 2004, 18(4):927-936.
20. Pinheiro J, Bates D, DebRoy S, Sarkar D, and R Development Core Team. 2010. nlme: Linear and Nonlinear Mixed Effects Models. R package version 3.1-97. Available from: http://CRAN.R-project.org/package=nlme.
21. Pollet J., Omi P.N. Effect of thinning and prescribed burning on crown fire severity in ponderosa pine forests. International Journal of Wildland Fire 2002, 11(1):1-10.
22. Prasad A.M., Iverson L.R., Liaw A. Newer classification and regression tree techniques: bagging and random forests for ecologic prediction. Ecosystems 2006, 9:181-199.
23. Prichard S.J., Peterson D.L., Jacobson K. Fuel treatments reduce the severity of wildfire effects in dry mixed conifer forest, Washington, USA. Canadian Journal of Forest Research 2010, 40:1615-1626.
24. R Development Core Team R: A Language and Environment for Statistical Computing 2006, R Foundation for Statistical Computing, Vienna, Austria.
25. Raymond C.L., Peterson D.L. Fuel treatments alter the effects of wildfire in a mixed-evergreen forest, Oregon, USA. Canadian Journal of Forest Research 2005, 35(12):2981-2995.
26. Scott, J.H., Reinhardt, E.D., 2001. Assessing Crown Fire Potential by Linking Models of Surface and Crown Fire Behavior. USDA Forest Service Rocky Mountain Research Station Research Paper RMRS-RP-29. Fort Collins, CO.
27. Starker T.J. Fire resistance in the forest. Journal of Forestry 1934, 32:462-467.
28. Stephens S.L., Moghaddas J.J. Silvicultural and reserve impacts on potential fire behavior and forest conservation: twenty-five years of experience from Sierra Nevada mixed conifer forests. Biological Conservation 2005, 125:369-379.
29. Thompson J.R., Spies T.A. Vegetation and weather explain variation in crown damage within a large mixed severity wildfire. Forest Ecology and Management 2009, 258:1684-1694.
30. Thompson J.R., Spies T.A. Factors associated with crown damage following recurring mixed-severity wildfires and post-fire management. Landscape Ecology 2010, 25(5):775-789.
31. Thompson J.R., Spies T.A., Ganio L.M. Reburn severity in managed and unmanaged vegetation in a large wildfire. Proceedings of the National Academy of Sciences 2007, 104(25):10743-10748.
32. Van Wagner C.E. Conditions for the start and spread of crown fire. Canadian Journal of Forest Research 1977, 7:23-34.
33. Walstad J.D. History of the development, use, and management, of forest resources. Reforestation Practices in Southwestern Oregon and Northern California 1992, Oregon State University Press, Corvallis, OR. S.D. Hobbs, S.D. Tesch, P.W. Owston, R.E. Stewart, J.C. Tappeiner, G. Wells (Eds.).
34. Weatherspoon C.P., Skinner C.N. An assessment of factors associated with damage to tree crowns from the 1987 wildfires in northern California. Forest Science 1995, 41(3):430-451.