Precise aboveground biomass estimation of plantation forest trees using the novel allometric model and UAV-borne LiDAR
文献类型：期刊论文
| 作者 | Lin, Jiayuan2; Chen, Decao2; Yang, Shuai2; Liao, Xiaohan1 |
| 刊名 | FRONTIERS IN FORESTS AND GLOBAL CHANGE
 |
| 出版日期 | 2023-10-06 |
| 卷号 | 6页码:15 |
| 关键词 | plantation forest aboveground biomass (AGB) UAV-borne LiDAR allometric model trunk height crown area |
| DOI | 10.3389/ffgc.2023.1166349 |
| 通讯作者 | Lin, Jiayuan(joeylin@swu.edu.cn) |
| 英文摘要 | IntroductionPlantation forest is an important component of global forest resources. The accurate estimation of tree aboveground biomass (AGB) in plantation forest is of great significance for evaluating the carbon sequestration capacity. In recent years, UAV-borne LiDAR has been increasingly applied to forest survey, but the traditional allometric model for AGB estimation cannot be directly used without the diameter at breast height (DBH) of individual trees. Therefore, it is practicable to construct a novel allometric model incorporating the crown structure parameters, which can be precisely extracted from UAV LiDAR data. Additionally, the reduction effect of adjacent trees on crown area (Ac) should be taken into account.MethodsIn this study, we proposed an allometric model depending on the predictor variables of Ac and trunk height (H). The UAV-borne LiDAR was utilized to scan the sample plot of dawn redwood (DR) trees in the test site. The raw point cloud was first normalized and segmented into individual trees, whose Acs and Hs were sequentially extracted. To mitigate the effects of adjacent trees, the initial Acs were corrected to refer to the potential maximum Acs under undisturbed growth conditions. Finally, the corrected Acs (Acc) and Hs were input into the constructed allometric model to achieve the AGBs of DR trees.Results and discussionAccording to accuracy assessment, coefficient of determination (R2) and root mean square error (RMSE) of extracted Hs were 0.9688 and 0.51 m; R2 and RMSE of calculated AGBs were 0.9432 and 10.91 kg. The unrestricted growth parts of the tree crowns at the edge of a plantation forest could be used to derive the potential maximum Ac. Compared with the allometric models for AGB estimation relying only on trunk H or on initial Ac and H, the novel allometric model demonstrated superior performance in estimating the AGBs of trees in a plantation forest. |
| WOS关键词 | DISCRETE-RETURN ; CARBON STOCKS ; ALLOCATION ; EQUATIONS ; CHINA ; AREA |
| 资助项目 | This study was partially sponsored by the National Natural Science Foundation of China (nos. 32071678 and 41830648) and the Key Research and Development Program of the Sichuan Province (no. 2022YFQ0035).[32071678] ; This study was partially sponsored by the National Natural Science Foundation of China (nos. 32071678 and 41830648) and the Key Research and Development Program of the Sichuan Province (no. 2022YFQ0035).[41830648] ; National Natural Science Foundation of China[2022YFQ0035] ; Key Research and Development Program of the Sichuan Province |
| WOS研究方向 | Environmental Sciences & Ecology ; Forestry |
| 语种 | 英语 |
| 出版者 | FRONTIERS MEDIA SA |
| WOS记录号 | WOS:001087668500001 |
| 资助机构 | This study was partially sponsored by the National Natural Science Foundation of China (nos. 32071678 and 41830648) and the Key Research and Development Program of the Sichuan Province (no. 2022YFQ0035). ; National Natural Science Foundation of China ; Key Research and Development Program of the Sichuan Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/199111]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Lin, Jiayuan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat & R, Chongqing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lin, Jiayuan,Chen, Decao,Yang, Shuai,et al. Precise aboveground biomass estimation of plantation forest trees using the novel allometric model and UAV-borne LiDAR[J]. FRONTIERS IN FORESTS AND GLOBAL CHANGE,2023,6:15. |
| APA | Lin, Jiayuan,Chen, Decao,Yang, Shuai,&Liao, Xiaohan.(2023).Precise aboveground biomass estimation of plantation forest trees using the novel allometric model and UAV-borne LiDAR.FRONTIERS IN FORESTS AND GLOBAL CHANGE,6,15. |
| MLA | Lin, Jiayuan,et al."Precise aboveground biomass estimation of plantation forest trees using the novel allometric model and UAV-borne LiDAR".FRONTIERS IN FORESTS AND GLOBAL CHANGE 6(2023):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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