NDLI: Biomass estimation of dendrocalamopsis vario-striata plantation in southeast China

Content Provider	IEEE Xplore Digital Library
Author	Zhou, Benzhi Xiaoming Wang Yonghui Cao Xiaojing Li Yilin Tang
Copyright Year	2012
Description	Author affiliation: Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang, Zhejiang, China (Zhou, Benzhi; Xiaoming Wang; Yonghui Cao; Xiaojing Li; Yilin Tang)
Abstract	Bamboo plantation is one of the fastest developing forest resources in Asia, Latin America and Africa countries. As one of the few sympodial bamboo which can be planted in subtropical areas, D. vario-striata can be good alternative for bamboo plantation development. With Eighteen $400m^{2}$ randomly-established plots in Zhejiang of China and a total of 67 sample bamboos, we established regression models of the biomass of each component for individual bamboo D. vario-striata at each age, and made an estimation to the biomass density and its allocation of the bamboo. The biomass of the culm, aboveground total and belowground total of bamboo D. vario-striata at 1 year, 2 year and 3 year old can be estimated using its DBH with good precision and reliability in accordance to the regression models of linear, power and exponential, but the precision and reliability were poor of the regressions between the DBH and the biomass of branch and foliage, implying an unfeasibility to estimate the biomass of branch and foliage of bamboo D. vario-striata using DBH. The total biomass density of bamboo D. vario-striata plantation in southeast China was estimated to 61.14 t/ha, with the majority stored in culms. The proportion of biomass of branch and foliage was low.
Starting Page	1
Ending Page	4
File Size	207562
Page Count	4
File Format	PDF
ISBN	9781467344975
ISSN	21544824
e-ISBN	9781889334479
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-24
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Biomass Biological system modeling Mathematical model Estimation Equations Reliability Biological systems China biomass Dendrocalamopsis vario-striata bamboo regression model
Content Type	Text
Resource Type	Article

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