IB-CAS  > 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, Shengli1,2,3; Guo, Qinghua1
2018
发表期刊INTERNATIONAL JOURNAL OF DIGITAL EARTH
ISSN1753-8947
卷号11期号:5页码:485-503
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.
关键词Airborne Laser Scanning change detection tree growth tree competition Sierra Nevada
学科领域Geography, Physical ; Remote Sensing
DOI10.1080/17538947.2017.1336578
收录类别SCI
语种英语
WOS关键词CANOPY STRUCTURE ; VOLUME METRICS ; STEM VOLUME ; BASAL AREA ; LIDAR DATA ; FOREST ; HEIGHT ; DENSITY ; LEVEL ; INDEXES
WOS记录号WOS:000428580800004
出版者TAYLOR & FRANCIS LTD
文献子类Article
出版地ABINGDON
EISSN1753-8955
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
作者邮箱guo.qinghua@gmail.com
引用统计
被引频次:35[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符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.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA USA
2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
3.Peking Univ, Coll Urban & Environm Sci, Dept Ecol, Beijing, 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.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Quantifying individu(4277KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Ma, Qin]的文章
[Su, Yanjun]的文章
[Tao, Shengli]的文章
百度学术
百度学术中相似的文章
[Ma, Qin]的文章
[Su, Yanjun]的文章
[Tao, Shengli]的文章
必应学术
必应学术中相似的文章
[Ma, Qin]的文章
[Su, Yanjun]的文章
[Tao, Shengli]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Quantifying individual tree growth and tree co.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。