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Predicting Girdling Probability for Pine and Hardwood Saplings in Low-Intensity Backfires

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Six hundred saplings of Pinus taeda, Quercus nigra, and Liquidambar styraciflua in four ground-line diameter (dgl) classes ranging from 3-10 cm were treated at five fire intensity levels, 0, 36, 64, 80, and 98 kJ/s/m, with a propane-fueled backfire simulator during February-April 1985. Of 200 trees of each species, 10 loblolly pines were girdled (out of 35 scarred), 98 water oaks were girdled (143 scarred), and 5 sweetgums were girdled (142 scarred). Logistic regression models based on dgl and mean temperature exposure were developed from these data and can be used to predict probability of girdling in 3-10 cm dgl stands of loblolly pine, water oak, and sweetgum by backfires with intensities from 0-98 kJ/s/m. For. Sci. 33(4):1010-1021.
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Keywords: Liquidambar styraciflua; Pinus taeda; Quercus nigra; fire damage; fire simulation; logistic regression

Document Type: Journal Article

Affiliations: Professor, School of Forestry, Wildlife, and Fisheries, Louisiana Agricultural Experiment Station, Louisiana State University, Baton Rouge, LA 70803

Publication date: 01 December 1987

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