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

$29.50 plus tax (Refund Policy)

Buy Article:

Abstract:

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.

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: December 1, 1987

More about this publication?
  • Membership Information
  • ingentaconnect is not responsible for the content or availability of external websites
Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect 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