DOI: 10.1016/j.foreco.2015.05.035
Scopus记录号: 2-s2.0-84938216323
论文题名: Should tree biomass allometry be restricted to power models?
作者: Picard N. ; Rutishauser E. ; Ploton P. ; Ngomanda A. ; Henry M.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2015
卷: 353 起始页码: 156
结束页码: 163
语种: 英语
英文关键词: Allometry
; Carbon allocation
; Power model
; Segmented regression
; Tree biomass
; Tropical forest
Scopus关键词: Biology
; Biomass
; Carbon
; Forecasting
; Allometry
; Carbon allocation
; Power model
; Segmented regressions
; Tree biomass
; Tropical forest
; Forestry
; allometry
; biomass allocation
; data set
; diameter
; height
; model test
; niche partitioning
; regression analysis
; tropical forest
; wood
; Central Africa
英文摘要: The increasing number of model types that are used to predict tree biomass from diameter, height and wood density has brought questioning about the biological relevance of complex allometries (i.e. non-power models). Statistical issues such as collinearity among predictors and unreliable coefficient estimates have also been associated with complex allometric models. Using a data set of 225 trees from central Africa, we assessed the relevance of simple allometry (i.e. power model) versus complex allometry to predict tree biomass. A complex allometric model of biomass was developed based on a model of resource partition between dbh and height growths. Although being a good model for biomass prediction, the power model was outperformed by the complex allometric model. A careful examination showed that the power model could be segmented into two pieces of power models. Using tree diameter and height as separated predictors improved the biomass prediction, irrespective of the collinearity between these two predictors. A critical value of 25% for the PRSE statistic used to assess the reliability of coefficient estimates corresponded to a significance level of 10-5-10-4 and was thus unreasonably low. We conclude that growth theories should be developed to explain allometric models, but that the arbitration between these models should ultimately rely on observed data, not on theories. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65349
Appears in Collections: 影响、适应和脆弱性
There are no files associated with this item.
作者单位: COMIFAC, BP 20818, Yaoundé, Cameroon; CIRAD, UPR Bsef, Montpellier Cedex 5, France; Carboforexpert, Geneva, Switzerland; IRD, UMR AMAP, Bd de la Lironde TA A-51/PS2, Montpellier Cedex 5, France; IRET, BP 13354, Libreville, Gabon; Food and Agriculture Organization of the United Nations, Forest Department, v.le delle Terme di Caracalla, Rome, Italy
Recommended Citation:
Picard N.,Rutishauser E.,Ploton P.,et al. Should tree biomass allometry be restricted to power models?[J]. Forest Ecology and Management,2015-01-01,353