Skip to main content

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

The full text article is temporarily unavailable.

We apologise for the inconvenience. Please try again later.

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.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

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

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more