Estimation and Determination of Carrying Capacity in Loblolly Pine

Stand carrying capacity is the maximum size of population for a species under given environmental conditions. Site resources limit the maximum volume or biomass that can be sustained in forest stands. This study was aimed at estimating and determining the carrying capacity in loblolly pine. Maximum...

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Main Author: Yang, Sheng-I
Other Authors: Forest Resources and Environmental Conservation
Format: Others
Published: Virginia Tech 2017
Subjects:
Online Access:http://hdl.handle.net/10919/80442
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spelling ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-804422020-09-29T05:42:16Z Estimation and Determination of Carrying Capacity in Loblolly Pine Yang, Sheng-I Forest Resources and Environmental Conservation Burkhart, Harold E. Kim, Inyoung Fox, Thomas R. carrying capacity maximum size-density relationship maximum stand basal area Reineke's self-thinning rule competition-density index Nilson's sparsity index physiographic regions miniature scale trial (microcosm) Stand carrying capacity is the maximum size of population for a species under given environmental conditions. Site resources limit the maximum volume or biomass that can be sustained in forest stands. This study was aimed at estimating and determining the carrying capacity in loblolly pine. Maximum stand basal area (BA) that can be sustained over a long period of time can be regarded as a measure of carrying capacity. To quantify and project stand BA carrying capacity, one approach is to use the estimate from a fitted cumulative BA-age equation; another approach is to obtain BA estimates implied by maximum size-density relationships (MSDRs), denoted implied maximum stand BA. The efficacy of three diameter-based MSDR measures: Reineke's self-thinning rule, competition-density rule and Nilson's sparsity index, were evaluated. Estimates from three MSDR measures were compared with estimates from the Chapman-Richards (C-R) equation fitted to the maximum stand BA observed on plots from spacing trials. The spacing trials, established in the two physiographic regions (Piedmont and Coastal Plain), and at two different scales (operational and miniature) were examined and compared, which provides a sound empirical basis for evaluating potential carrying capacity. Results showed that the stands with high initial planting density approached the stand BA carrying capacity sooner than the stands with lower initial planting density. The maximum stand BA associated with planting density developed similarly at the two scales. The potential carrying capacity in the two physiographic regions was significantly different. The value of implied maximum stand BA converted from three diameter-based MSDR measures was similar to the maximum stand BA curve obtained from the C-R equation. Nilson's sparsity index was the most stable and reliable estimate of stand BA carrying capacity. The flexibility of Nilson's sparsity index can illustrate the effect of physiographic regions on stand BA carrying capacity. Because some uncontrollable factors on long-term operational experiments can make estimates of stand BA carrying capacity unreliable for loblolly pine, it is suggested that the stand BA carrying capacity could be estimated from high initial planting density stands in a relatively short period of time so that the risk of damages and the costs of experiments could be reduced. For estimating carrying capacity, another attractive option is to choose a miniature scale trial (microcosm) because it shortens the experiment time and reduces costs greatly. Master of Science 2017-11-19T07:00:25Z 2017-11-19T07:00:25Z 2016-05-27 Thesis vt_gsexam:7701 http://hdl.handle.net/10919/80442 In Copyright http://rightsstatements.org/vocab/InC/1.0/ ETD application/pdf Virginia Tech
collection NDLTD
format Others
sources NDLTD
topic carrying capacity
maximum size-density relationship
maximum stand basal area
Reineke's self-thinning rule
competition-density index
Nilson's sparsity index
physiographic regions
miniature scale trial (microcosm)
spellingShingle carrying capacity
maximum size-density relationship
maximum stand basal area
Reineke's self-thinning rule
competition-density index
Nilson's sparsity index
physiographic regions
miniature scale trial (microcosm)
Yang, Sheng-I
Estimation and Determination of Carrying Capacity in Loblolly Pine
description Stand carrying capacity is the maximum size of population for a species under given environmental conditions. Site resources limit the maximum volume or biomass that can be sustained in forest stands. This study was aimed at estimating and determining the carrying capacity in loblolly pine. Maximum stand basal area (BA) that can be sustained over a long period of time can be regarded as a measure of carrying capacity. To quantify and project stand BA carrying capacity, one approach is to use the estimate from a fitted cumulative BA-age equation; another approach is to obtain BA estimates implied by maximum size-density relationships (MSDRs), denoted implied maximum stand BA. The efficacy of three diameter-based MSDR measures: Reineke's self-thinning rule, competition-density rule and Nilson's sparsity index, were evaluated. Estimates from three MSDR measures were compared with estimates from the Chapman-Richards (C-R) equation fitted to the maximum stand BA observed on plots from spacing trials. The spacing trials, established in the two physiographic regions (Piedmont and Coastal Plain), and at two different scales (operational and miniature) were examined and compared, which provides a sound empirical basis for evaluating potential carrying capacity. Results showed that the stands with high initial planting density approached the stand BA carrying capacity sooner than the stands with lower initial planting density. The maximum stand BA associated with planting density developed similarly at the two scales. The potential carrying capacity in the two physiographic regions was significantly different. The value of implied maximum stand BA converted from three diameter-based MSDR measures was similar to the maximum stand BA curve obtained from the C-R equation. Nilson's sparsity index was the most stable and reliable estimate of stand BA carrying capacity. The flexibility of Nilson's sparsity index can illustrate the effect of physiographic regions on stand BA carrying capacity. Because some uncontrollable factors on long-term operational experiments can make estimates of stand BA carrying capacity unreliable for loblolly pine, it is suggested that the stand BA carrying capacity could be estimated from high initial planting density stands in a relatively short period of time so that the risk of damages and the costs of experiments could be reduced. For estimating carrying capacity, another attractive option is to choose a miniature scale trial (microcosm) because it shortens the experiment time and reduces costs greatly. === Master of Science
author2 Forest Resources and Environmental Conservation
author_facet Forest Resources and Environmental Conservation
Yang, Sheng-I
author Yang, Sheng-I
author_sort Yang, Sheng-I
title Estimation and Determination of Carrying Capacity in Loblolly Pine
title_short Estimation and Determination of Carrying Capacity in Loblolly Pine
title_full Estimation and Determination of Carrying Capacity in Loblolly Pine
title_fullStr Estimation and Determination of Carrying Capacity in Loblolly Pine
title_full_unstemmed Estimation and Determination of Carrying Capacity in Loblolly Pine
title_sort estimation and determination of carrying capacity in loblolly pine
publisher Virginia Tech
publishDate 2017
url http://hdl.handle.net/10919/80442
work_keys_str_mv AT yangshengi estimationanddeterminationofcarryingcapacityinloblollypine
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