Stand level growth and survival equations for cutover sites loblolly pine plantations in the mid-Gulf region of southern United States

<p> 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 mo...

Full description

Bibliographic Details
Main Author: Bartaula, Binayak
Other Authors: Thomas G. Matney
Format: Others
Language:en
Published: MSSTATE 2017
Subjects:
Online Access:http://sun.library.msstate.edu/ETD-db/theses/available/etd-06192017-090830/
id ndltd-MSSTATE-oai-library.msstate.edu-etd-06192017-090830
record_format oai_dc
spelling ndltd-MSSTATE-oai-library.msstate.edu-etd-06192017-0908302019-05-15T18:44:00Z Stand level growth and survival equations for cutover sites loblolly pine plantations in the mid-Gulf region of southern United States Bartaula, Binayak Forestry <p> 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 two-fold 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 these equations will be evaluated after which the equations will be incorporated into the Cutover Sites Loblolly Pine growth and yield simulator developed and maintained by the Mississippi Forest and Wildlife Research Center.</p> Thomas G. Matney Brent R.Frey Charles O. Sabatia MSSTATE 2017-08-01 text application/pdf http://sun.library.msstate.edu/ETD-db/theses/available/etd-06192017-090830/ http://sun.library.msstate.edu/ETD-db/theses/available/etd-06192017-090830/ en unrestricted I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, Dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Mississippi State University Libraries or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, Dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, Dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, Dissertation, or project report.
collection NDLTD
language en
format Others
sources NDLTD
topic Forestry
spellingShingle Forestry
Bartaula, Binayak
Stand level growth and survival equations for cutover sites loblolly pine plantations in the mid-Gulf region of southern United States
description <p> 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 two-fold 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 these equations will be evaluated after which the equations will be incorporated into the Cutover Sites Loblolly Pine growth and yield simulator developed and maintained by the Mississippi Forest and Wildlife Research Center.</p>
author2 Thomas G. Matney
author_facet Thomas G. Matney
Bartaula, Binayak
author Bartaula, Binayak
author_sort Bartaula, Binayak
title Stand level growth and survival equations for cutover sites loblolly pine plantations in the mid-Gulf region of southern United States
title_short Stand level growth and survival equations for cutover sites loblolly pine plantations in the mid-Gulf region of southern United States
title_full Stand level growth and survival equations for cutover sites loblolly pine plantations in the mid-Gulf region of southern United States
title_fullStr Stand level growth and survival equations for cutover sites loblolly pine plantations in the mid-Gulf region of southern United States
title_full_unstemmed Stand level growth and survival equations for cutover sites loblolly pine plantations in the mid-Gulf region of southern United States
title_sort stand level growth and survival equations for cutover sites loblolly pine plantations in the mid-gulf region of southern united states
publisher MSSTATE
publishDate 2017
url http://sun.library.msstate.edu/ETD-db/theses/available/etd-06192017-090830/
work_keys_str_mv AT bartaulabinayak standlevelgrowthandsurvivalequationsforcutoversitesloblollypineplantationsinthemidgulfregionofsouthernunitedstates
_version_ 1719086141432397824