Growth differences between key commercial species and between silvicultural intensities (phases) within a species in a region are of great interest to foresters. This study used modeling methods to investigate these differences in east Texas. Datasets collected from loblolly and slash pine plots installed in extensively managed plantations (Phase I) and loblolly pine plots installed in intensively managed plantations (Phase II) were used. Species and silvicultural phase growth differences were determined by comparing their height–age, diameter–age, and height–diameter relationships. Slash and loblolly pine had significantly different parameter estimates for the Chapman and Richards function-based height– and diameter–age models. Slash pine ...
The amount of forestland in east Texas has been estimated at 11.8 million acres, with approximately ...
Updated equations to estimate individual total tree height of loblolly pine ( Pinus taeda L. ) and s...
Two diameter distribution yield prediction systems are presented for loblolly pine (Pinus taeda L.) ...
The performance of young (less than 10 yr) loblolly (Pinus taeda L.) and slash (Pinus elliottii Enge...
Four methodologies to project future trees per acre by diameter class were compared to develop a new...
Age accounted for over 70% of the variation in tree height of 1O- to 44- year-old loblolly pine (Pin...
A new compatible whole-stand growth and yield model to predict total tree cubic-foot volume per acre...
Four methodologies to project future trees per acre by diameter class were compared to develop a new...
Many models to predict tree height from diameter have been developed, but not all are equally useful...
A new thinning model was proposed for loblolly pine (Pinus taeda L.) and slash pine (P. elliottii En...
An annual growth model that predicts individual tree survival and diameter growth was developed for ...
An individual tree model for loblolly pine (Pinus taeda L.) was developed to predict the response re...
A study was conducted in the Post Oak Belt of East Texas to determine which site factors affected he...
A study was conducted in the Post Oak Belt of East Texas to determine which site factors affected he...
Stand-level models were derived to predict crown height or the distance from ground to the first liv...
The amount of forestland in east Texas has been estimated at 11.8 million acres, with approximately ...
Updated equations to estimate individual total tree height of loblolly pine ( Pinus taeda L. ) and s...
Two diameter distribution yield prediction systems are presented for loblolly pine (Pinus taeda L.) ...
The performance of young (less than 10 yr) loblolly (Pinus taeda L.) and slash (Pinus elliottii Enge...
Four methodologies to project future trees per acre by diameter class were compared to develop a new...
Age accounted for over 70% of the variation in tree height of 1O- to 44- year-old loblolly pine (Pin...
A new compatible whole-stand growth and yield model to predict total tree cubic-foot volume per acre...
Four methodologies to project future trees per acre by diameter class were compared to develop a new...
Many models to predict tree height from diameter have been developed, but not all are equally useful...
A new thinning model was proposed for loblolly pine (Pinus taeda L.) and slash pine (P. elliottii En...
An annual growth model that predicts individual tree survival and diameter growth was developed for ...
An individual tree model for loblolly pine (Pinus taeda L.) was developed to predict the response re...
A study was conducted in the Post Oak Belt of East Texas to determine which site factors affected he...
A study was conducted in the Post Oak Belt of East Texas to determine which site factors affected he...
Stand-level models were derived to predict crown height or the distance from ground to the first liv...
The amount of forestland in east Texas has been estimated at 11.8 million acres, with approximately ...
Updated equations to estimate individual total tree height of loblolly pine ( Pinus taeda L. ) and s...
Two diameter distribution yield prediction systems are presented for loblolly pine (Pinus taeda L.) ...