globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2016.06.031
Scopus记录号: 2-s2.0-84975853025
论文题名:
Aboveground biomass equations for evergreen broadleaf forests in South Central Coastal ecoregion of Viet Nam: Selection of eco-regional or pantropical models
作者: Huy B.; Poudel K.P.; Temesgen H.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2016
卷: 376
起始页码: 276
结束页码: 283
语种: 英语
英文关键词: Aboveground biomass ; Allometric equation ; Eco-region ; Evergreen broadleaf forest ; Pantropic equations ; South Central Coastal Region of Viet Nam
Scopus关键词: Biomass ; Coastal zones ; Deforestation ; Above ground biomass ; Allometric equations ; Broadleaf forest ; Eco-region ; Pantropic equations ; Viet Nam ; Forestry ; aboveground biomass ; accuracy assessment ; Akaike information criterion ; allometry ; coastal zone ; data set ; ecological modeling ; ecoregion ; emission control ; equation ; evergreen forest ; model validation ; selection ; Viet Nam
英文摘要: As part of Viet Nam's effort to participate in REDD+ (reducing emissions from deforestation and forest degradation), selected biomass equations were evaluated for their predictive abilities using data collected from destructively sampled 110 trees from 41 species of the evergreen broadleaf forests of the South Central Coastal region of Viet Nam. Different power models that used diameter at breast height (DBH), tree height (H), wood density (WD), and crown area (CA) as covariates to predict aboveground biomass (AGB) were evaluated. Best models were selected based on the coefficient of determination (R2), the Akaike information criterion (AIC), and root mean square percent error (RMSE). AGB was strongly related to four covariates - DBH, H, WD, and CA. While seldom mentioned in the existing literature, CA improved the accuracy of the AGB estimation. Accuracy of the selected models was validated using the random validation dataset and the model with four explanatory variables (AGB = a × (DBH2HWD)b × CAc) had the lowest mean absolute percent error of 16.9%. Using local data, a simple power model based on DBH only (AGB = a × DBHb) produced higher accuracy than the generic pantropical models that used up to three variables. © 2016 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64799
Appears in Collections:影响、适应和脆弱性

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作者单位: Department of Forest Resources and Environment Management, Tay Nguyen University (TNU), 567 Le Duan, Buon Ma Thuot, Dak Lak, Viet Nam; Department of Forest Engineering, Resources and Management, Oregon State University, 117 Peavy Hall, Corvallis, OR, United States; Department of Forest Engineering, Resources and Management, Oregon State University (OSU), Corvallis, OR, United States; Department of Forest Engineering, Resources and Management, Oregon State University (OSU), 233 Peavy Hall, Corvallis, OR, United States

Recommended Citation:
Huy B.,Poudel K.P.,Temesgen H.. Aboveground biomass equations for evergreen broadleaf forests in South Central Coastal ecoregion of Viet Nam: Selection of eco-regional or pantropical models[J]. Forest Ecology and Management,2016-01-01,376
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