Aboveground Biomass Allocation and Additive Allometric Models for Natural Larix gmelinii in the Western Daxing'anling Mountains, Northeastern China
文献类型：期刊论文
| 作者 | Meng, Shengwang1,2; Jia, Quanquan1,3; Liu, Qijing1; Zhou, Guang1; Wang, Huimin2 ; Yu, Jian1
|
| 刊名 | FORESTS
 |
| 出版日期 | 2019-02-01 |
| 卷号 | 10期号:2页码:16 |
| 关键词 | additive allometric equations aboveground biomass biomass allocation Larix gmelinii |
| ISSN号 | 1999-4907 |
| DOI | 10.3390/f10020150 |
| 通讯作者 | Liu, Qijing(liuqijing@bjfu.edu.cn) |
| 英文摘要 | Accurate estimates of tree component and aboveground biomass strongly depend on robust and precise allometric equations. However, site-specific and suitable biomass equations are currently scarce for natural Larix gmelinii forests in the western Daxing'anling Mountains, northeastern China. This study aimed to evaluate the biomass allocation patterns within tree components and develop additive allometric biomass equations for species of L. gmelinii. A total of 58 trees were destructively sampled and measured for wood (inside bark), bark, branch and leaf biomass. For each component, we assessed the share of biomass allocated to different components by computing its ratio; we also tested two allometric equations based on diameter at breast height (dbh) alone, and dbh fitted with height (h) as independent variables. Seemingly unrelated regression methodology was used to fit an additive system of biomass allometric equations. We performed an independent dataset to evaluate the predictive ability of the best model system. The results revealed that wood biomass accounted for approximately 60% of the aboveground biomass. Wood and branch biomass ratios increased with increasing dbh, while a reverse trend was observed for bark and leaf biomass ratios. All models showed good fitting results with Adj.R-2 = 0.958-0.995. Tree dbh provided the lowest estimation errors in the regressions associated with branches and leaves, while dbh(2) x h generated the most precise models for stems (wood and bark). We conclude that these allometric equations will accurately predict biomass for Larix trees in the western Daxing'anling Mountains. |
| WOS关键词 | BELOW-GROUND BIOMASS ; NET PRIMARY PRODUCTION ; CARBON STORAGE ; TREE ; EQUATIONS ; FORESTS ; REGRESSION ; NORTH ; PLANTATIONS ; COMPONENTS |
| 资助项目 | National hi-tech research and development plan[2013AA122003] |
| WOS研究方向 | Forestry |
| 语种 | 英语 |
| WOS记录号 | WOS:000460744000074 |
| 出版者 | MDPI |
| 资助机构 | National hi-tech research and development plan |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/49199]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Qijing |
| 作者单位 | 1.Beijing Forestry Univ, Coll Forestry, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Qianyanzhou Ecol Res Stn, Beijing 100101, Peoples R China 3.Jiangxi Acad Forestry, Inst Forest Med Herb & Food, Nanchang 330032, Jiangxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Meng, Shengwang,Jia, Quanquan,Liu, Qijing,et al. Aboveground Biomass Allocation and Additive Allometric Models for Natural Larix gmelinii in the Western Daxing'anling Mountains, Northeastern China[J]. FORESTS,2019,10(2):16. |
| APA | Meng, Shengwang,Jia, Quanquan,Liu, Qijing,Zhou, Guang,Wang, Huimin,&Yu, Jian.(2019).Aboveground Biomass Allocation and Additive Allometric Models for Natural Larix gmelinii in the Western Daxing'anling Mountains, Northeastern China.FORESTS,10(2),16. |
| MLA | Meng, Shengwang,et al."Aboveground Biomass Allocation and Additive Allometric Models for Natural Larix gmelinii in the Western Daxing'anling Mountains, Northeastern China".FORESTS 10.2(2019):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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