DOI: 10.1016/j.foreco.2017.04.027
Scopus记录号: 2-s2.0-85019155784
论文题名: Allometric equations for estimating aboveground biomass for common shrubs in northeastern California
作者: Huff S. ; Ritchie M. ; Temesgen H.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2017
卷: 398 起始页码: 48
结束页码: 63
语种: 英语
Scopus关键词: Biomass
; Fuels
; Regression analysis
; Above ground biomass
; Allometric equations
; Cross validation
; Equation coefficients
; Predictive abilities
; Seemingly unrelated regression
; Shrub species
; Weighted nonlinear least squares
; Forestry
; Amelanchier
英文摘要: Selected allometric equations and fitting strategies were evaluated for their predictive abilities for estimating above ground biomass for seven species of shrubs common to northeastern California. Size classes for woody biomass were categorized as 1-h fuels (0.1–0.6 cm), 10-h fuels (0.6–2.5 cm), 100-h fuels (2.5–7.6 cm), and 1000-h fuels (greater than 7.7 cm in diameter). Three fitting strategies were evaluated - weighted nonlinear least squares regression (WNLS), seemingly unrelated regression (SUR), and multinomial log-linear regression (MLR) - to estimate individual shrub biomass as a function of crown area. The inclusion of the shrub height as a covariate did not increase the accuracy of prediction for all species. When MLR was used, on the average, RMSE values were reduced by 23.1% for the 1-h component, by 23.9% for the 10-h component, and by 45.6% for the leaf component for serviceberry when compared to SUR. Based on the residual plots and cross-validation fit statistics, MLR is recommended for estimating AGB for seven major shrub species in California. The equation coefficients are documented for future use. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64288
Appears in Collections: 影响、适应和脆弱性
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作者单位: Department of Forest Engineering, Resources, and Management, Oregon State University, Corvallis, OR, United States; Pacific Southwest Research Station, 3644 Avtech Parkway, Redding, CA, United States
Recommended Citation:
Huff S.,Ritchie M.,Temesgen H.. Allometric equations for estimating aboveground biomass for common shrubs in northeastern California[J]. Forest Ecology and Management,2017-01-01,398