Rating forest stand susceptibility to southern pine beetle in East Texas

Hazard-rating systems in forest insect pest management : symposium proceedings, Athens, Georgia, July 31-August 1, 1980 /

“…Georgia. Attacked stands in the Lower Piedmont were characterized by a larger proportion of loblolly pine, more sawtimber, slower growth, and higher basal areas than attacked stands in the Upper Piedmont. Conditions associated with infestations in the Lower Piedmont closely resemble those reported for the Gulf Coastal Plain (Lorio 1978, Kushmaul et al 1979, Hicks et al . 1980).…”

“…However, an empirical model can be used to suggest areas for further research and may ultimately lead to the development of a mechanistic model. Examples of empirical hazard-rating models are those developed by researchers at Stephen F. Austin State University (Hicks et al 1980) and at the University of Arkansas (Ku et al 1980) for predicting stand susceptibility to southern pine beetle attack.…”

The effectiveness of vegetation management practices for prevention and control of bark beetle infestations in coniferous forests of the western and southern United States

“…Thinning dense stands promotes tree growth and vigor and reduces tree and stand susceptibility to southern pine beetle attack Price, 1985;Lorio, 1986), the occurrence of infestations (Coulson et al, 1974;Belanger and Malac, 1980;Hicks et al, 1980;Lorio, 1980;Coster and Searcy, 1981;Mason et al, 1985), and the probability and rate of spot growth once an infestation arises (Johnson and Coster, 1978;Hedden and Billings, 1979;Thatcher et al, 1980;Brown et al, 1987;Cameron and Billings, 1988;Belanger et al, 1993;Turchin et al, 1999a,b;Clarke, 2003;Billings et al, 2006). Numerous efforts have examined the relationship between tree density and southern pine beetle spot initiation and growth (Coulson et al, 1974;Ku et al, 1980;Burkhart et al, 1986;Schowalter and Turchin, 1993;Turchin et al, 1999a;Zhang and Zeide, 1999;Belanger et al, 2000).…”

Hazard rating of pine trees from a forest insect pest using artificial neural networks

“…Therefore, it can be well utilized in determining control areas and methods, and can be measured at different hierarchical levels, such as trees, stands, and areas. Hazard rating was approached in several ways: discriminant analysis (Valentine and Houston, 1979;Kushmaul et al, 1979;Ku et al, 1980), probabilistic models (Daniels et al, 1979;Hicks et al, 1980), qualitative methods (Lorio, 1978;Lorio and Sommers, 1980), aerial approaches (Sader and Miller, 1976;Mason, 1979), and knowledge-based systems (Schmoldt, 1987;Rust, 1988). Predicting the probability of tree mortality is an essential feature of any stand growth system (Monserud, 1976).…”