Improved equations for predicting future dominant height, diameters, and number of surviving trees in a forest stand were developed for loblolly pine in the mid-Gulf region of southern United States using tree data from 115 stands across the region. The data were split into two sets and models were fitted on each data set using contemporary statistical modeling approaches in SAS® and R® software. Several models were fitted and compared. Fitted models were evaluated based on twoold cross validation techniques. The best equations had high fit indices and acceptable prediction standard errors. Model parameter estimates were significant at 5% significance level and exhibited logical model behavior. In the future, the system level performance of...
In 1996 we presented a set of models for predicting surviving numbers of trees, basal area and domin...
Future biomass yields are functionally related to the number of trees surviving at a given age. A st...
Four methodologies to project future trees per acre by diameter class were compared to develop a new...
Longleaf pine (Pinus palustris Mill.) is an important tree species of the southeast U.S. Currently t...
A prediction equation, graph, and tables can assist forest landowners in estimating tree survival in...
Growth differences between key commercial species and between silvicultural intensities (phases) wit...
<div><p>Loblolly pine, a native pine species of the southeastern United States, is the most-planted ...
An individual tree model for loblolly pine (Pinus taeda L.) was developed to predict the response re...
Two machine-learning techniques, gradient boosting (GB) and random forests (RF), were used to predic...
A new compatible whole-stand growth and yield model to predict total tree cubic-foot volume per acre...
Forest management is a complex task that influences future site conditions for centuries. Therefore,...
Despite the commercial importance, and abundant harvest, of eastern white pine (Pinus strobus L.) in...
The amount of forestland in east Texas has been estimated at 11.8 million acres, with approximately ...
Modelling individual tree growth is important for the assessment and management of naturally occurri...
An annual individual tree survival and growth model was developed for pure even-aged stands of marit...
In 1996 we presented a set of models for predicting surviving numbers of trees, basal area and domin...
Future biomass yields are functionally related to the number of trees surviving at a given age. A st...
Four methodologies to project future trees per acre by diameter class were compared to develop a new...
Longleaf pine (Pinus palustris Mill.) is an important tree species of the southeast U.S. Currently t...
A prediction equation, graph, and tables can assist forest landowners in estimating tree survival in...
Growth differences between key commercial species and between silvicultural intensities (phases) wit...
<div><p>Loblolly pine, a native pine species of the southeastern United States, is the most-planted ...
An individual tree model for loblolly pine (Pinus taeda L.) was developed to predict the response re...
Two machine-learning techniques, gradient boosting (GB) and random forests (RF), were used to predic...
A new compatible whole-stand growth and yield model to predict total tree cubic-foot volume per acre...
Forest management is a complex task that influences future site conditions for centuries. Therefore,...
Despite the commercial importance, and abundant harvest, of eastern white pine (Pinus strobus L.) in...
The amount of forestland in east Texas has been estimated at 11.8 million acres, with approximately ...
Modelling individual tree growth is important for the assessment and management of naturally occurri...
An annual individual tree survival and growth model was developed for pure even-aged stands of marit...
In 1996 we presented a set of models for predicting surviving numbers of trees, basal area and domin...
Future biomass yields are functionally related to the number of trees surviving at a given age. A st...
Four methodologies to project future trees per acre by diameter class were compared to develop a new...