Allometric equations for predicting culm surface area of three bamboo species (Phyllostachys spp.)

Akio Inoue, Yoshiyuki Miyazawa, Motohiro Sato, Hiroyuki Shima

Research output: Contribution to journalArticle

Abstract

It is strongly debated whether bamboo forest ecosystems are a carbon sink or a carbon source because of insufficient knowledge regarding carbon loss via CO2 emissions from these forests. The surface area (S) of bamboo culms (stems) is important for estimating culm respiration, a major component of carbon cycling in bamboo forests. However, few studies have attempted to formulate predictive equations for S. In this study, we developed allometric equations for predicting S in three bamboo species grown in Kyushu Island, western Japan: Phyllostachys pubescens Mazel ex Houz., P. bambusoides Sieb. et Zucc. and P. nigra var. henonis. We used a power equation between S and diameter at breast height (D) and a linear equation between S and D × total culm length (H). The results indicated that P. bambusoides and P. nigra shared common site-independent equations. In contrast, P. pubescens required species-specific equations due to interspecific variation in culm slenderness and tapering. We also found that D was a better predictive variable than DH when quantifying S because of its satisfactory predictive performance and simplicity. These findings will be beneficial for evaluating the contribution of bamboo forest ecosystems to carbon cycling.

Original languageEnglish
Article number295
JournalForests
Volume9
Issue number6
DOIs
Publication statusPublished - May 25 2018

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Phyllostachys
bamboo
bamboos
surface area
Phyllostachys edulis
carbon
forest ecosystems
forest ecosystem
Phyllostachys bambusoides
Japan
interspecific variation
carbon sink
carbon sinks
tree and stand measurements
respiration
stem
stems

All Science Journal Classification (ASJC) codes

  • Forestry

Cite this

Allometric equations for predicting culm surface area of three bamboo species (Phyllostachys spp.). / Inoue, Akio; Miyazawa, Yoshiyuki; Sato, Motohiro; Shima, Hiroyuki.

In: Forests, Vol. 9, No. 6, 295, 25.05.2018.

Research output: Contribution to journalArticle

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