Loblolly pine, a native pine species of the southeastern United States, is the most-planted
species for commercial timber. Predicting survival of loblolly pine following planting is of …

Tree mortality is an important component of forest tree and stand growth models, which
provide decision support for forest managers. Mortality patterns, however, are highly …

Remeasurement data from permanent plots of six loblolly pine studies were used to develop
mortality models for second-rotation loblolly pine plantations growing in the Piedmont/Upper …

A critical component of a growth and yield simulator is an estimate of mortality rates. The
mortality models presented here are developed from long-term permanent plots in provinces …

Four equations were compared for predicting mortality after thinning in old-field loblolly pine
(Pinus taeda L.) plantations. The model selected is of the form: N2=[N1a1+ a2 (A2a3-A1a3)] …

A predictor of the probability of plantation-grown loblolly pine (Pinus taeda L.) periodic
mortality is presented. The dependent mortality variable, Proportional Stem Mortality (PSM) …

Among extant forest growth and yield models, individual tree growth models provide the
most detailed information, which is useful for intensive forest management. However …

Accurate prediction of mortality is an important component of forest growth-and-yield
systems, yet mortality remains one of the least understood components of the system …

Traditionally, modeling of permanent plot individual tree survival has not considered the
multiple sources of heterogeneity and correlation that may arise due to the multilevel data …

Several methods (discriminant analysis, Probit analysis, Logit analysis) were compared for
the prediction of individual overstory tree mortality in northern hardwood stands in …