DOI: 10.1016/j.foreco.2017.08.020
Scopus记录号: 2-s2.0-85028957190
论文题名: Estimating biomass and carbon for Gilbertiodendron dewevrei (De Wild) Leonard, a dominant canopy tree of African tropical Rainforest: Implications for policies on carbon sequestration
作者: Umunay P.M. ; Gregoire T.G. ; Ashton M.S.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2017
卷: 404 起始页码: 31
结束页码: 44
语种: 英语
英文关键词: Antithetic sampling
; Evergreen rainforest
; Gilbertiodendron dewevrei
; Randomized branch sampling
Scopus关键词: Biomass
; Regression analysis
; Uncertainty analysis
; Above ground biomass
; Allometric equations
; Carbon sequestration
; Democratic Republic of Congo
; Evergreen rainforest
; Gilbertiodendron dewevrei
; Randomized branch samplings
; Tropical rain forest
; Forestry
; Gilbertiodendron dewevrei
英文摘要: Estimates of global carbon stocks in standing forests are subject to uncertainty because of regional and tree species differences that are usually ignored in global allometric equations. The absence of appropriate site-specific and individual tree allometric equations has led to broad use of pan moist tropical equations, which use has raised questions on the accuracy of the resulting predictions of standing biomass. Here we develop site-specific individual tree allometric equations for estimating biomass of Gilbertiodendron dewevrei, a canopy tree that dominates extensive areas of forest in the Congo basin region. We applied both antithetic and randomized branch sampling to sample for total aboveground biomass components. We evaluated a series of regression models (linear and non-linear) for predicting total aboveground biomass as a function of commonly measured variables including diameter, basal area and total height of 43 sample trees for Ituri and Yoko forests in the Democratic Republic of Congo. We found the best model for total aboveground biomass to be a linear, 3-knot cubic spline model that used only basal area as a predictor with the lowest AIC and BIC of 602 and 610 respectively. The incorporation of height in biomass equations did not significantly improve model performance, while models with diameter alone or in combination with height perform poorly. Our results show that models using only basal area are sufficient to accurately estimate biomass for Gilbertiodendron dewevrei and carbon stock, which is an important outcome given that height measurements are usually difficult to acquire. We also demonstrate that general models used can significantly overestimate amounts of carbon for Gilbertiodendron dewevrei as compared to the site and species-specific regression model that we have developed. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64104
Appears in Collections: 影响、适应和脆弱性
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作者单位: The School of Forestry and Environmental Studies, 360 Prospect St, Yale University, New Haven, CT, United States
Recommended Citation:
Umunay P.M.,Gregoire T.G.,Ashton M.S.. Estimating biomass and carbon for Gilbertiodendron dewevrei (De Wild) Leonard, a dominant canopy tree of African tropical Rainforest: Implications for policies on carbon sequestration[J]. Forest Ecology and Management,2017-01-01,404