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Abstract
Volume is an important attribute used in many forest management decisions. Data from 83 fixed-area plots located in central New Brunswick, Canada, are used to examine how different measures of stand-level diameter and height influence volume prediction using a stand-level variant of Honer's (1967) volume equation. When density was included in the models (Volume=f(Diameter,Height,Density)) choice of diameter measure was more important than choice of height measure. When density was not included (Volume=f(Diameter,Height)), the opposite was true. For models with density included, moment-based estimators of stand diameter and height performed better than all other measures. For models without density, largest tree estimators of stand diameter and height performed better than other measures. The overall best equation used quadratic mean diameter, Lorey's height, and density (root mean square error = 5.26 m3 ha−1 1.9 % relative error). The best equation without density used mean diameter of the largest trees needed to calculate a stand density index of 400 and the mean height of the tallest 400 trees per ha (root mean square error = 32.08 m3 ha−1 11.8 % relative error). The results of this study have some important implications for height subsampling and LiDAR-derived forest inventory analyses.
Department
Natural Resources and the Environment
Publication Date
2-22-2024
Journal Title
Forest Ecosystems
Publisher
Elsevier BV
Digital Object Identifier (DOI)
Document Type
Article
Recommended Citation
Yilin Wang, John A. Kershaw, Mark J. Ducey, Yuan Sun, James B. McCarter, What diameter? What height? Influence of measures of average tree size on area-based allometric volume relationships, Forest Ecosystems, Volume 11, 2024, 100171, ISSN 2197-5620, https://doi.org/10.1016/j.fecs.2024.100171.
Rights
© 2024 The Authors
Comments
This is an open access article published by Elsevier BV in Forest Ecosystems in 2024, available online: https://dx.doi.org/10.1016/j.fecs.2024.100171