Comparison of Parametric and Nonparametric Methods for Estimating Size–Density Relationships in Old-Growth Japanese Cedar (<i>Cryptomeria japonica</i> D. Don) Plantations

Comparison of Parametric and Nonparametric Methods for Estimating Size–Density Relationships in Old-Growth Japanese Cedar (<i>Cryptomeria japonica</i> D. Don) Plantations

Accurately quantifying the size–density relationships is important to predict stand development, estimate stand carrying capacity and prescribe silvicultural treatments. Parametric methods, such as segmented regression, were proposed to estimate the complicated trajectory of size–density relationshi...

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Bibliographic Details
Main Authors: Chyi-Rong Chiou, Ching-Peng Cheng, Sheng-I Yang
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Forests
Subjects:
segmented regression
penalized spline
random forest
number of trees per unit area
quadratic mean diameter
Online Access:https://www.mdpi.com/1999-4907/11/6/625

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https://www.mdpi.com/1999-4907/11/6/625

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