DOI: 10.1016/j.foreco.2013.07.013
Scopus记录号: 2-s2.0-84881358585
论文题名: Generic allometric models including height best estimate forest biomass and carbon stocks in Indonesia
作者: Rutishauser E. ; Noor'an F. ; Laumonier Y. ; Halperin J. ; Rufi'ie ; Hergoualch K. ; Verchot L.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2013
卷: 307 起始页码: 219
结束页码: 225
语种: 英语
英文关键词: Above-ground biomass
; Allometric models
; Indonesia
; REDD+
; Tree height
; Tropical forests
Scopus关键词: Above ground biomass
; Allometric models
; Indonesia
; REDD
; Tree height
; Tropical forest
; Deforestation
; Estimation
; Greenhouse gases
; Uncertainty analysis
; Biomass
; accuracy assessment
; allometry
; carbon flux
; estimation method
; forest cover
; greenhouse gas
; tropical forest
; uncertainty analysis
; Biomass
; Deforestation
; Forests
; Greenhouse Gases
; Indonesia
; Tropical Atmospheres
; Indonesia
英文摘要: The choice of an appropriate allometric model is a critical step in reducing uncertainties in forest biomass stock estimates. With large greenhouse gases emissions due to deforestation, a systematic assessment and comparison of the models available in Indonesia is crucial for accurate assessments of forest carbon stocks and implementing REDD+ projects. In the present study, we compared the ability of two regional and two generic (pantropical) allometric models to estimate biomass at both tree and plot levels. We showed that regional models had lower performance in estimating tree biomass, with greater bias (-31-8%) and higher AIC (177-204), compared to generic models (bias: -2-2%; AIC: 57-67). At the plot level, the regional models underestimated biomass stocks by 0-40% compared to the best generic model. The error in plot biomass stocks associated to models relying solely upon DBH ranged between -5 and +15%. The integration of tree height estimated regionally resulted in an overestimate of 5-10% in unmanaged forests. Despite the difficulty to accurately assess tree heights in tropical forests, integrating all or part of them in biomass assessment can reduce uncertainties. © 2013 The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66377
Appears in Collections: 影响、适应和脆弱性
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作者单位: Center for International Forestry Research, Jl. CIFOR, Situ Gede, Bogor Barat 16115, Indonesia; Dipterocarp Research Center, Forestry Research and Development Agency, Ministry of Forestry, Jl. A. Wahab Syahranie No. 68, Sempaja, Samarinda, Indonesia; International Center for Research on Agronomy and Development, UPR BSEF, F-34078 Montpellier, France; United States Forest Service, International Programs, Washington, DC, United States
Recommended Citation:
Rutishauser E.,Noor'an F.,Laumonier Y.,et al. Generic allometric models including height best estimate forest biomass and carbon stocks in Indonesia[J]. Forest Ecology and Management,2013-01-01,307