Comparison of Three Approaches for Estimating Understory Biomass in Yanshan Mountains
文献类型：期刊论文
| 作者 | Li, Yuanqi1,2; Hu, Ronghai1,2; Xing, Yuzhen2; Pang, Zhe2; Chen, Zhi1,2,3; Niu, Haishan1,2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2024-03-01 |
| 卷号 | 16期号:6页码:20 |
| 关键词 | understory AGB estimation TLS voxel size non-voxel-based approach |
| DOI | 10.3390/rs16061060 |
| 通讯作者 | Niu, Haishan(niuhs@ucas.ac.cn) |
| 英文摘要 | Aboveground biomass (AGB) of shrubs and low-statured trees constitutes a substantial portion of the total carbon pool in temperate forest ecosystems, contributing much to local biodiversity, altering tree-regeneration growth rates, and determining above- and belowground food webs. Accurate quantification of AGB at the shrub layer is crucial for ecological modeling and still remains a challenge. Several methods for estimating understory biomass, including inventory and remote sensing-based methods, need to be evaluated against measured datasets. In this study, we acquired 158 individual terrestrial laser scans (TLS) across 45 sites in the Yanshan Mountains and generated metrics including leaf area and stem volume from TLS data using voxel- and non-voxel-based approaches in both leaf-on and leaf-off scenarios. Allometric equations were applied using field-measured parameters as an inventory approach. The results indicated that allometric equations using crown area and height yielded results with higher accuracy than other inventory approach parameters (R2 and RMSE ranging from 0.47 to 0.91 and 12.38 to 38.11 g, respectively). The voxel-based approach using TLS data provided results with R2 and RMSE ranging from 0.86 to 0.96 and 6.43 to 21.03 g. Additionally, the non-voxel-based approach provided similar or slightly better results compared to the voxel-based approach (R2 and RMSE ranging from 0.93 to 0.96 and 4.23 to 11.27 g, respectively) while avoiding the complexity of selecting the optimal voxel size that arises during voxelization. |
| WOS关键词 | LEAF-AREA INDEX ; ESTIMATING ABOVEGROUND BIOMASS ; ALLOMETRIC EQUATIONS ; PLANT-COMMUNITIES ; GAP FRACTION ; VOXEL SIZE ; LIDAR DATA ; CANOPY ; CARBON ; TREE |
| 资助项目 | Science and Technology Basic Resources Survey: Aboveground biomass of Yanshan-Taihang Mountains |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:001192840100001 |
| 资助机构 | Science and Technology Basic Resources Survey: Aboveground biomass of Yanshan-Taihang Mountains |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/203880]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Niu, Haishan |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing Yanshan Earth Crit Zone Natl Res Stn, Beijing 101408, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Yuanqi,Hu, Ronghai,Xing, Yuzhen,et al. Comparison of Three Approaches for Estimating Understory Biomass in Yanshan Mountains[J]. REMOTE SENSING,2024,16(6):20. |
| APA | Li, Yuanqi,Hu, Ronghai,Xing, Yuzhen,Pang, Zhe,Chen, Zhi,&Niu, Haishan.(2024).Comparison of Three Approaches for Estimating Understory Biomass in Yanshan Mountains.REMOTE SENSING,16(6),20. |
| MLA | Li, Yuanqi,et al."Comparison of Three Approaches for Estimating Understory Biomass in Yanshan Mountains".REMOTE SENSING 16.6(2024):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
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