Individual-Tree Competition Indices and Improved Compatibility with Stand-Level Estimates of Stem Density and Long-Term Production

When explaining the dynamics of individual trees, the incorporation of size and distance of neighboring trees into a model can improve the prediction of growth and mortality. Several methods have been proposed to define the number of competing trees based on variable zone radii and the principles of...

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Main Authors: John Paul McTague, Aaron R. Weiskittel
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Forests
Subjects:
Online Access:http://www.mdpi.com/1999-4907/7/10/238
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spelling doaj-9e40d24c2ca04307b5cae592e1e835ee2020-11-24T22:58:55ZengMDPI AGForests1999-49072016-10-0171023810.3390/f7100238f7100238Individual-Tree Competition Indices and Improved Compatibility with Stand-Level Estimates of Stem Density and Long-Term ProductionJohn Paul McTague0Aaron R. Weiskittel1Rayonier Inc., University of Georgia, NC State University, P.O. Box 1679, Yulee, FL 32041, USASchool of Forest Resources, University of Maine, Orono, ME 04469-5755, USAWhen explaining the dynamics of individual trees, the incorporation of size and distance of neighboring trees into a model can improve the prediction of growth and mortality. Several methods have been proposed to define the number of competing trees based on variable zone radii and the principles of angle count sampling. The task of measuring position-dependent competition indices appears to be ideally suited for permanent sample plots and long-term studies of growth and yield (production), where the marginal effort of remeasurement is concentrated on measuring size attributes of survivor trees and the occasional distance of a new sample tree. The proposed competition index is based on point sampling with a variable basal area factor (BAFV) that is partially derived from the Spurr (1962) competition index. Point sampling is a fast, easy, and inexpensive methodology for selecting the number of competing trees, and the new BAFV methodology proved to be very efficient for estimating growth. With the selection of an appropriate basal area factor, it is possible to reduce the number of subject trees and competition trees in the sample, and eliminate the need for edge correction methods. Although the index value assigned to the subject tree using the BAFV is biased, an appropriate correction is presented and discussed. The average competition index obtained from using the corrected value for the subject tree and the BAFV for the competing trees equals the stand level estimate of basal area.http://www.mdpi.com/1999-4907/7/10/238angle count or point samplingpermanent sample plotsadditive estimates
collection DOAJ
language English
format Article
sources DOAJ
author John Paul McTague
Aaron R. Weiskittel
spellingShingle John Paul McTague
Aaron R. Weiskittel
Individual-Tree Competition Indices and Improved Compatibility with Stand-Level Estimates of Stem Density and Long-Term Production
Forests
angle count or point sampling
permanent sample plots
additive estimates
author_facet John Paul McTague
Aaron R. Weiskittel
author_sort John Paul McTague
title Individual-Tree Competition Indices and Improved Compatibility with Stand-Level Estimates of Stem Density and Long-Term Production
title_short Individual-Tree Competition Indices and Improved Compatibility with Stand-Level Estimates of Stem Density and Long-Term Production
title_full Individual-Tree Competition Indices and Improved Compatibility with Stand-Level Estimates of Stem Density and Long-Term Production
title_fullStr Individual-Tree Competition Indices and Improved Compatibility with Stand-Level Estimates of Stem Density and Long-Term Production
title_full_unstemmed Individual-Tree Competition Indices and Improved Compatibility with Stand-Level Estimates of Stem Density and Long-Term Production
title_sort individual-tree competition indices and improved compatibility with stand-level estimates of stem density and long-term production
publisher MDPI AG
series Forests
issn 1999-4907
publishDate 2016-10-01
description When explaining the dynamics of individual trees, the incorporation of size and distance of neighboring trees into a model can improve the prediction of growth and mortality. Several methods have been proposed to define the number of competing trees based on variable zone radii and the principles of angle count sampling. The task of measuring position-dependent competition indices appears to be ideally suited for permanent sample plots and long-term studies of growth and yield (production), where the marginal effort of remeasurement is concentrated on measuring size attributes of survivor trees and the occasional distance of a new sample tree. The proposed competition index is based on point sampling with a variable basal area factor (BAFV) that is partially derived from the Spurr (1962) competition index. Point sampling is a fast, easy, and inexpensive methodology for selecting the number of competing trees, and the new BAFV methodology proved to be very efficient for estimating growth. With the selection of an appropriate basal area factor, it is possible to reduce the number of subject trees and competition trees in the sample, and eliminate the need for edge correction methods. Although the index value assigned to the subject tree using the BAFV is biased, an appropriate correction is presented and discussed. The average competition index obtained from using the corrected value for the subject tree and the BAFV for the competing trees equals the stand level estimate of basal area.
topic angle count or point sampling
permanent sample plots
additive estimates
url http://www.mdpi.com/1999-4907/7/10/238
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