DOI: 10.1016/j.foreco.2017.02.020
Scopus记录号: 2-s2.0-85013141397
论文题名: Improving biomass estimation in a Populus short rotation coppice plantation
作者: Oliveira N. ; Rodríguez-Soalleiro R. ; Hernández M.J. ; Cañellas I. ; Sixto H. ; Pérez-Cruzado C.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2017
卷: 391 起始页码: 194
结束页码: 206
语种: 英语
英文关键词: Age-influence
; Allometric models
; Mean deviation
; Poplar
Scopus关键词: Biology
; Forecasting
; Forestry
; Rotation
; Above ground biomass
; Age-influence
; Allometric models
; Mean deviation
; Parameter variability
; Poplar
; Predictor variables
; Short rotation coppice
; Biomass
; age determination
; age-related difference
; allometry
; coppice
; deciduous tree
; diameter
; ecological modeling
; estimation method
; forestry production
; market conditions
; phytomass
; plantation forestry
; Spain
; Populus
英文摘要: Short Rotation Coppice (SRC) plantations are important to biomass supply in the biomass market. The biomass stocks estimations should be based on robust models that allow the most accurate estimations. We have evaluated the changes in allometry for the estimation of biomass production at individual stool level in a short rotation, high density poplar plantation under a coppice system during two rotations of three years. The plantation was established in central-northern Spain, with a density of 17,316 stools ha−1. The influence of different factors in the allometry has been evaluated to improve the methodology for more robust biomass prediction. In an SRC system, the influence of age was more pronounced in the first year after each coppicing than in subsequent years of the cycle. Our findings suggest that this feature of nature must be accommodated in the modelling procedure either through the model formulation (decreasing the parameter variability with the inclusion of age as a dummy predictor variable) or by selecting the sample according to the stage of development of the above-ground biomass (which will depend on the goals of the predictions). The minimum sample size proposed to construct a model capable of predicting biomass regardless of age in SRC was 50 trees. Furthermore, the uncertainty was quantified in two models for total above-ground dry woody biomass, the first based only on the basal diameter and the other on the basal diameter along with the number of shoots per stool; the inclusion of the latter was advisable to increase the accuracy and reduce the mean deviation in biomass predictions at different ages. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64433
Appears in Collections: 影响、适应和脆弱性
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作者单位: Forest Research Centre, National Institute for Agriculture and Food Research and Technology (INIA-CIFOR), Crta. de la Coruña km 7.5, Madrid, Spain; Sustainable Forest Management Group, University of Santiago de Compostela, C/Benigno Ledo s/n, Lugo, Spain; Chair of Forest Inventory and Remote Sensing, Georg-August-Universität Göttingen, Germany
Recommended Citation:
Oliveira N.,Rodríguez-Soalleiro R.,Hernández M.J.,et al. Improving biomass estimation in a Populus short rotation coppice plantation[J]. Forest Ecology and Management,2017-01-01,391