Biomass equations for four shrub species in subtropical China
文献类型：SCI/SSCI论文
| 作者 | Zeng H. Q. ; Liu Q. J. ; Feng Z. W. ; Ma Z. Q. |
| 发表日期 | 2010 |
| 关键词 | Biomass Regression equation Shrub north-eastern mexico aboveground biomass tamaulipan thornscrub regression-models forage biomass understory forests climate plants brazil |
| 英文摘要 | Estimation of shrub biomass can provide more accurate estimates of forest biomass and carbon sequestration. We developed species-specific biomass regression models for four common shrub species, Chinese loropetal (Loropetalum chinense), white oak (Quercus fabri), chastetree (Vitex negundo var. cannabifolia), and Gardenia (Gardenia jasminoides), in southeast China. The objective of this study was to derive appropriate regression equations for estimation of shrub biomass. The results showed that the power model and the quadratic model are the most appropriate forms of equation. CA (canopy area, m(2)) as the sole independent variable was a good predictor of leaf biomass. D (2) H, where D is the basal diameter (cm) and H is the shrub height (cm), is a good predictor of branch and root biomass, except for V. negundo var. cannabifolia and the root biomass of L. chinense. For total biomass, D (2) is the best variable for estimation of L. chinense and G. jasminoides, and D (2) H is the best variable for estimation of Q. fabri and V. negundo var. cannabifolia. Although variables D (2), D (2) H, and H are the preferred predictors for biomass estimation, CV (canopy projected volume, m(3)) could be used alone to predict branch, root, and total biomass in shrub species with acceptable accuracy and precision. |
| 出处 | Journal of Forest Research |
| 卷 | 15 |
| 期 | 2 |
| 页 | 83-90 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1341-6979 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/22454]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Zeng H. Q.,Liu Q. J.,Feng Z. W.,et al. Biomass equations for four shrub species in subtropical China. 2010. |
入库方式： OAI收割
来源：地理科学与资源研究所
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