Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California
文献类型：期刊论文
| 作者 | Ma, Qin; Su, Yanjun; Tao, Shengli1,2,3; Guo, Qinghua2
|
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2018 |
| 卷号 | 11期号:5页码:485-503 |
| 关键词 | Airborne Laser Scanning change detection tree growth tree competition Sierra Nevada |
| ISSN号 | 1753-8947 |
| DOI | 10.1080/17538947.2017.1336578 |
| 文献子类 | Article |
| 英文摘要 | Improved monitoring and understanding of tree growth and its responses to controlling factors are important for tree growth modeling. Airborne Laser Scanning (ALS) can be used to enhance the efficiency and accuracy of large-scale forest surveys in delineating three-dimensional forest structures and under-canopy terrains. This study proposed an ALS-based framework to quantify tree growth and competition. Bi-temporal ALS data were used to quantify tree growth in height (H), crown area (A), crown volume (V), and tree competition for 114,000 individual trees in two conifer-dominant Sierra Nevada forests. We analyzed the correlations between tree growth attributes and controlling factors (i.e. tree sizes, competition, forest structure, and topographic parameters) at multiple levels. At the individual tree level, H had no consistent correlations with controlling factors, A and V were positively related to original tree sizes (R>0.3) and negatively related to competition indices (R<-0.3). At the forest-stand level, H and A were highly correlated to topographic wetness index (|R|>0.7), V was positively related to original tree sizes (|R|>0.8). Multivariate regression models were simulated at individual tree level for H, A, and V with the R-2 ranged from 0.1 to 0.43. The ALS-based tree height estimation and growth analysis results were consistent with field measurements. |
| 学科主题 | Geography, Physical ; Remote Sensing |
| 出版地 | ABINGDON |
| 电子版国际标准刊号 | 1753-8955 |
| WOS关键词 | CANOPY STRUCTURE ; VOLUME METRICS ; STEM VOLUME ; BASAL AREA ; LIDAR DATA ; FOREST ; HEIGHT ; DENSITY ; LEVEL ; INDEXES |
| 语种 | 英语 |
| WOS记录号 | WOS:000428580800004 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41471363, 31270563] ; National Science FoundationNational Science Foundation (NSF) [DBI 1356077] ; USDA Forest Service Pacific Southwest Research StationUnited States Department of Agriculture (USDA)United States Forest Service |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/20513]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Peking Univ, Coll Urban & Environm Sci, Dept Ecol, Beijing, Peoples R China 2.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA USA 3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 4.Peking Univ, Minist Educ, Key Lab Earth Surface Proc, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ma, Qin,Su, Yanjun,Tao, Shengli,et al. Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2018,11(5):485-503. |
| APA | Ma, Qin,Su, Yanjun,Tao, Shengli,&Guo, Qinghua.(2018).Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California.INTERNATIONAL JOURNAL OF DIGITAL EARTH,11(5),485-503. |
| MLA | Ma, Qin,et al."Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California".INTERNATIONAL JOURNAL OF DIGITAL EARTH 11.5(2018):485-503. |
入库方式： OAI收割
来源：植物研究所
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