Modeling the biomass partitioning of loblolly pine grown in a miniature-scale plantation

Stand conditions influence the partitioning of biomass to stem, foliage, branch, and root components. Using data from 4 to 6-year old loblolly pine (Pinus taeda L.) trees grown in a miniature-scale spacing trial, this study determined the effect of initial planting density on the biomass partitionin...

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Main Author: Russell, Matthew B.
Other Authors: Forestry
Format: Others
Published: Virginia Tech 2014
Subjects:
Online Access:http://hdl.handle.net/10919/31176
http://scholar.lib.vt.edu/theses/available/etd-02082008-112800/
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spelling ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-311762020-09-26T05:36:09Z Modeling the biomass partitioning of loblolly pine grown in a miniature-scale plantation Russell, Matthew B. Forestry Burkhart, Harold E. Seiler, John R. Amateis, Ralph L. seemingly unrelated regression additivity planting density live crown ratio Pinus taeda L. Stand conditions influence the partitioning of biomass to stem, foliage, branch, and root components. Using data from 4 to 6-year old loblolly pine (Pinus taeda L.) trees grown in a miniature-scale spacing trial, this study determined the effect of initial planting density on the biomass partitioning of loblolly pine. An analysis of covariance concluded that density did not have a significant effect on the relative amount of biomass in aboveground components.Some measures of partitioning tradeoffs (such as root: shoot ratio) showed a significant positive slope when regressed against trees per hectare. Systems of linear equations were developed based on tree measurements and age, and additivity was specified. By taking into account contemporaneous correlations among tree components, seemingly unrelated regression (SUR) methodologies led to efficient parameter estimates. When compared to studies with mature trees at operational scales, results from the miniature-scale trees showed similar trends. Stem and woody roots were 70 and 14% of total mass, respectively. Since these miniature-scale trees were physiologically young at time of harvest, allocation of mass to foliage continued to be a priority, occupying 10% of total mass. Master of Science 2014-03-14T20:31:37Z 2014-03-14T20:31:37Z 2008-01-28 2008-02-08 2011-01-03 2008-03-21 Thesis etd-02082008-112800 http://hdl.handle.net/10919/31176 http://scholar.lib.vt.edu/theses/available/etd-02082008-112800/ MB_Russell_etd.pdf In Copyright http://rightsstatements.org/vocab/InC/1.0/ application/pdf Virginia Tech
collection NDLTD
format Others
sources NDLTD
topic seemingly unrelated regression
additivity
planting density
live crown ratio
Pinus taeda L.
spellingShingle seemingly unrelated regression
additivity
planting density
live crown ratio
Pinus taeda L.
Russell, Matthew B.
Modeling the biomass partitioning of loblolly pine grown in a miniature-scale plantation
description Stand conditions influence the partitioning of biomass to stem, foliage, branch, and root components. Using data from 4 to 6-year old loblolly pine (Pinus taeda L.) trees grown in a miniature-scale spacing trial, this study determined the effect of initial planting density on the biomass partitioning of loblolly pine. An analysis of covariance concluded that density did not have a significant effect on the relative amount of biomass in aboveground components.Some measures of partitioning tradeoffs (such as root: shoot ratio) showed a significant positive slope when regressed against trees per hectare. Systems of linear equations were developed based on tree measurements and age, and additivity was specified. By taking into account contemporaneous correlations among tree components, seemingly unrelated regression (SUR) methodologies led to efficient parameter estimates. When compared to studies with mature trees at operational scales, results from the miniature-scale trees showed similar trends. Stem and woody roots were 70 and 14% of total mass, respectively. Since these miniature-scale trees were physiologically young at time of harvest, allocation of mass to foliage continued to be a priority, occupying 10% of total mass. === Master of Science
author2 Forestry
author_facet Forestry
Russell, Matthew B.
author Russell, Matthew B.
author_sort Russell, Matthew B.
title Modeling the biomass partitioning of loblolly pine grown in a miniature-scale plantation
title_short Modeling the biomass partitioning of loblolly pine grown in a miniature-scale plantation
title_full Modeling the biomass partitioning of loblolly pine grown in a miniature-scale plantation
title_fullStr Modeling the biomass partitioning of loblolly pine grown in a miniature-scale plantation
title_full_unstemmed Modeling the biomass partitioning of loblolly pine grown in a miniature-scale plantation
title_sort modeling the biomass partitioning of loblolly pine grown in a miniature-scale plantation
publisher Virginia Tech
publishDate 2014
url http://hdl.handle.net/10919/31176
http://scholar.lib.vt.edu/theses/available/etd-02082008-112800/
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