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Volume 10
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10.3390/f10040316
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Article

Individual Plant Allometric Equations for Estimating Aboveground Biomass and Its Components for a Common Bamboo Species (Bambusa procera A. Chev. and A. Camus) in Tropical Forests

by
Bao Huy
1,
Giang Thi Thanh
2,
Krishna P. Poudel
3 and
Hailemariam Temesgen
4,*
1
Department of Forest Resources and Environment Management, Tay Nguyen University, 567 Le Duan, Buon Ma Thuot, Dak Lak 630000, Vietnam
2
Forest Science Institute of Central Highlands and South of Central Viet Nam, 09 Hung Vuong, Da Lat, Lam Dong 670000, Vietnam
3
Department of Forestry, Mississippi State University, P.O. Box 9681, Starkville, MS 39762, USA
4
Department of Forest Engineering, Resources and Management, Oregon State University (OSU), Corvallis, OR 97333, USA
*
Author to whom correspondence should be addressed.
Forests 2019, 10(4), 316; https://doi.org/10.3390/f10040316
Submission received: 8 February 2019 / Revised: 15 March 2019 / Accepted: 4 April 2019 / Published: 6 April 2019
(This article belongs to the Section Forest Ecology and Management)
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Abstract

Bamboo forests play an important role in achieving the objectives of the United Nations program on Reducing Emission from Deforestation and Forest Degradation. We developed and validated a modeling system that simultaneously estimate aboveground biomass and its components for a common bamboo species (Bambusa procera A. Chev. and A. Camus) in tropical forests. Eighty-three bamboo culms were destructively sampled from seventeen 100 m2 sample plots located in different parts of the Central Highlands in Viet Nam to obtain total plant aboveground biomass (AGB) and its components. We examined the performance of weighted nonlinear models fit by maximum likelihood and weighted nonlinear seemingly unrelated regression fit by generalized least squares for predicting bamboo biomass. The simultaneous estimation of AGB and its components produced higher reliability than the models of components and total developed separately. With a large number of bamboo species, it may not be feasible to develop species- specific biomass models, hence genus-specific allometric models may be considered.
Keywords: bamboo biomass; genus-specific model; seemingly unrelated regression; simultaneous biomass estimation bamboo biomass; genus-specific model; seemingly unrelated regression; simultaneous biomass estimation

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MDPI and ACS Style

Huy, B.; Thanh, G.T.; Poudel, K.P.; Temesgen, H. Individual Plant Allometric Equations for Estimating Aboveground Biomass and Its Components for a Common Bamboo Species (Bambusa procera A. Chev. and A. Camus) in Tropical Forests. Forests 2019, 10, 316. https://doi.org/10.3390/f10040316

AMA Style

Huy B, Thanh GT, Poudel KP, Temesgen H. Individual Plant Allometric Equations for Estimating Aboveground Biomass and Its Components for a Common Bamboo Species (Bambusa procera A. Chev. and A. Camus) in Tropical Forests. Forests. 2019; 10(4):316. https://doi.org/10.3390/f10040316

Chicago/Turabian Style

Huy, Bao, Giang Thi Thanh, Krishna P. Poudel, and Hailemariam Temesgen. 2019. "Individual Plant Allometric Equations for Estimating Aboveground Biomass and Its Components for a Common Bamboo Species (Bambusa procera A. Chev. and A. Camus) in Tropical Forests" Forests 10, no. 4: 316. https://doi.org/10.3390/f10040316

APA Style

Huy, B., Thanh, G. T., Poudel, K. P., & Temesgen, H. (2019). Individual Plant Allometric Equations for Estimating Aboveground Biomass and Its Components for a Common Bamboo Species (Bambusa procera A. Chev. and A. Camus) in Tropical Forests. Forests, 10(4), 316. https://doi.org/10.3390/f10040316

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