How Does Spacing Shape Affect Tree Growth? -Preliminary Study of an Area Fixed, Shape Change Design Plot Experiment-

Takahashi, Masayoshi; Furuya, Naoyuki

doi:10.15684/formath.13.60

Cited by 1 publication

(1 citation statement)

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“…In DBH measurements, since the horizontally cut disk of a tree is not perfectly circular (because of differences in growth patterns on the mountain side and valley side or competition factor among neighbor trees), the average of the longest and shortest diameter is generally adopted (Laar and Akça 2007). It is well known that stand density has a strong influence on DBH growth along with soil and environmental factors (Ando 1968;Takahashi and Furuya 2014), while tree height is least affected by stand density. The height of upper dominant trees is strongly correlated with volume growth (Inoue 1974;Davis et al 2001).…”

Section: Introductionmentioning

confidence: 99%

Selection Method for Height-Diameter Curves and Its Application to the Data of Sugi (<i>Cryptomeria japonica</i>) in Japan

Kamo,

Tonda,

Takahashi

et al. 2023

FORMATH

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This paper focuses on the selection of height-diameter curve (HDC) which characterizes the relationship between tree height and diameter at breast height (DBH) for growth prediction. Tree height and DBH are commonly used variables in monitoring forest growth and predicting its stock. To select the appropriate HDC among multiple candidates, empirical rules or mathematical approaches based on the residual sum of squares have been applied in previous research. In this paper we apply cross-validation (CV) criterion to select an appropriate HDC for the purpose of forecasting. The CV criterion is easy to use because it is based on simple iterative process without any assumptions required on the candidate models for HDC. Not only is CV easy to use, it also evaluates forecast accuracy, which is consistent with the objectives for HDC use. In this paper, we demonstrate the results for analyzing real life data of sugi (Cryptomeria japonica) stands in Japan by preparing five candidates of HDC. We also show the results of numerical experiments for verifying the ability of the method introduced in this paper.

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Section: Introductionmentioning

confidence: 99%