Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2017.02.020 |
Improving biomass estimation in a Populus short rotation coppice plantation | |
Oliveira, Nerea1,2; Rodriguez-Soalleiro, Roque2; Jose Hernandez, Maria1; Canellas, Isabel1; Sixto, Hortensia1; Perez-Cruzado, Cesar2,3 | |
2017-05-01 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT |
ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2017 |
卷号 | 391 |
文章类型 | Article |
语种 | 英语 |
国家 | Spain; Germany |
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. (C) 2017 Elsevier B.V. All rights reserved. |
英文关键词 | Poplar Allometric models Age-influence Mean deviation |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000399511500020 |
WOS关键词 | ABOVEGROUND TREE BIOMASS ; BELOW-GROUND BIOMASS ; FOREST BIOMASS ; ALLOMETRIC RELATIONSHIPS ; EUCALYPTUS-GLOBULUS ; SECONDARY FORESTS ; MODEL PREDICTIONS ; EQUATIONS ; UNCERTAINTY ; POPLAR |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/24286 |
专题 | 气候变化 |
作者单位 | 1.Natl Inst Agr & Food Res & Technol INIA CIFOR, Forest Res Ctr, Crta Coruna Km 7-5, E-28040 Madrid, Spain; 2.Univ Santiago de Compostela, Sustainable Forest Management Grp, C Benigno Ledo S-N, E-27002 Lugo, Spain; 3.Georg August Univ Gottingen, Chair Forest Inventory & Remote Sensing, D-37077 Gottingen, Germany |
推荐引用方式 GB/T 7714 | Oliveira, Nerea,Rodriguez-Soalleiro, Roque,Jose Hernandez, Maria,et al. Improving biomass estimation in a Populus short rotation coppice plantation[J]. FOREST ECOLOGY AND MANAGEMENT,2017,391. |
APA | Oliveira, Nerea,Rodriguez-Soalleiro, Roque,Jose Hernandez, Maria,Canellas, Isabel,Sixto, Hortensia,&Perez-Cruzado, Cesar.(2017).Improving biomass estimation in a Populus short rotation coppice plantation.FOREST ECOLOGY AND MANAGEMENT,391. |
MLA | Oliveira, Nerea,et al."Improving biomass estimation in a Populus short rotation coppice plantation".FOREST ECOLOGY AND MANAGEMENT 391(2017). |
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