A Modified Stand Table Projection Growth Model for Unmanaged Loblolly and Slash Pine Plantations in East Texas

Author:

Allen Micky G.,Coble Dean W.,Cao Quang V.,Yeiser Jimmie,Hung I-Kuai

Abstract

Abstract Four methodologies to project future trees per acre by diameter class were compared to develop a new modified stand table projection growth model for unmanaged loblolly pine (Pinus taeda L.) and slash pine (Pinus elliottii Engelm.) plantations in East Texas. The new models were fit to 92,882 observations from 153 permanent plots located in loblolly pine plantations and 33,792 observations from 71 permanent plots located in slash pine plantations throughout East Texas. The new models were validated with 12,750 observations from 22 permanent plots and 3,724 observations from 9 permanent plots located in loblolly and slash pine plantations, respectively. The validation data were used to select between the four methodologies. The results indicated which of the new models produced the best results, based on error indexes calculated for trees per acre and basal area per acre at the stand table and diameter class levels across a range of projection lengths. We recommend that this new model be used by forest managers for projecting stand tables in East Texas loblolly and slash pine plantations. An example is also provided to show users how to use the new modified stand table projection model.

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Forestry

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A new approach to project stand tables;Canadian Journal of Forest Research;2023-09-01

2. Predicting future diameter distributions given current stand attributes;Canadian Journal of Forest Research;2022-04

3. Deriving tree growth models from stand models based on the self-thinning rule of Chinese fir plantations;iForest - Biogeosciences and Forestry;2022-02-28

4. Deriving a tree growth model from any existing stand growth model;Canadian Journal of Forest Research;2022-02

5. A unified system for tree- and stand-level predictions;Forest Ecology and Management;2021-02

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