Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California

doi:10.1080/17538947.2017.1336578

CORC > 植物研究所 > 中国科学院植物研究所 > 植被与环境变化国家重点实验室

	Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California
	Ma, Qin ; Su, Yanjun ; Tao, Shengli 1,3,4; Guo, Qinghua 3
刊名	INTERNATIONAL JOURNAL OF DIGITAL EARTH
	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
电子版国际标准刊号	1753-8955
出版地	ABINGDON
WOS关键词	CANOPY STRUCTURE ; VOLUME METRICS ; STEM VOLUME ; BASAL AREA ; LIDAR DATA ; FOREST ; HEIGHT ; DENSITY ; LEVEL ; INDEXES
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000428580800004
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
内容类型	期刊论文
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.Peking Univ, Minist Educ, Key Lab Earth Surface Proc, Beijing, Peoples R China 3.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA USA 4.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, 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.