IB-CAS  > 植被与环境变化国家重点实验室
Terrestrial laser scanning-derived canopy interception index for predicting rainfall interception
Yu, Yue1,2,3; Gao, Tian1,2; Zhu, Jiaojun1,2; Wei, Xiaohua4; Guo, Qinghua5; Su, Yanjun5,6; Li, Yumei5; Deng, Songqiu7; Li, Mingcai1
2020
发表期刊ECOHYDROLOGY
ISSN1936-0584
卷号13期号:5
摘要Rainfall interception (RI) by forest canopies is an important process in hydrological cycling in forest ecosystems. However, accurately predicting RI is a challenging topic. In this study, a dimensionless descriptor, canopy interception index (CII), for predicting RI was defined. The terrestrial laser scanning was used to estimate CII in four temperate forest types, including Korean pine (Pinus koraiensis) plantation forest (KPF) stands, larch (Larix spp.) plantation forest (LPF) stands, mixed broadleaved forest (MBF) stands and Mongolian oak (Quercus mongolica) forest (MOF) stands. Using the measured RI values over the rainy seasons in 2017 and 2018, CII's performance for predicting RI was tested and also compared with several other indices (LAI: leaf area index, PAI: plant area index and ACH: average canopy height). The results indicated that CII was significantly and strongly related with RI for the four forest types together (R-2 = 0.79), as well as for an individual forest type (R-2 = 0.55-0.63). More importantly, its performance was better than those from LAI (R-2 = 0.33-0.43), PAI (R-2 = 0.40-0.53) and ACH (R-2 = 0.35). All those results demonstrated that CII was an efficient index for accurately predicting RI. The potential applications of CII were also discussed.
关键词canopy interception index dimensionless descriptor rainfall interception temperate forests terrestrial laser scanning
学科领域Ecology ; Environmental Sciences ; Water Resources
DOI10.1002/eco.2212
收录类别SCI
语种英语
WOS关键词WATER STORAGE CAPACITY ; OPTICAL STRATIFICATION POROSITY ; FOREST STRUCTURE ; LIDAR DATA ; METEOROLOGICAL VARIABLES ; RUNOFF GENERATION ; PINE PLANTATION ; THROUGHFALL ; VARIABILITY ; TREES
WOS研究方向Environmental Sciences & Ecology ; Water Resources
WOS记录号WOS:000528773800001
出版者WILEY
文献子类Article
出版地HOBOKEN
EISSN1936-0592
资助机构Key Research Program of Frontier Sciences, Chinese Academy of Sciences [QYZDJ-SSW-DQC027] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31870533] ; Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences [XDA19050502]
作者邮箱jiaojunzhu@iae.ac.cn
引用统计
被引频次:11[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/2S10CLM1/21789
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, Inst Appl Ecol, CAS Key Lab Forest Ecol & Management, Shenyang 110016, Peoples R China
2.Chinese Acad Sci, Qingyuan Forest CERN, Shenyang, Peoples R China
3.Liaoning Key Lab Management Noncommercial Forests, Shenyang, Peoples R China
4.Univ Chinese Acad Sci, Beijing, Peoples R China
5.Univ British Columbia, Dept Earth Environm & Geog Sci, Kelowna, BC, Canada
6.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China
7.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA USA
8.Shinshu Univ, Inst Mt Sci, Nagano, Japan
推荐引用方式
GB/T 7714
Yu, Yue,Gao, Tian,Zhu, Jiaojun,et al. Terrestrial laser scanning-derived canopy interception index for predicting rainfall interception[J]. ECOHYDROLOGY,2020,13(5).
APA Yu, Yue.,Gao, Tian.,Zhu, Jiaojun.,Wei, Xiaohua.,Guo, Qinghua.,...&Li, Mingcai.(2020).Terrestrial laser scanning-derived canopy interception index for predicting rainfall interception.ECOHYDROLOGY,13(5).
MLA Yu, Yue,et al."Terrestrial laser scanning-derived canopy interception index for predicting rainfall interception".ECOHYDROLOGY 13.5(2020).
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
eco.2212.pdf(8063KB)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
[Yu, Yue]的文章
[Gao, Tian]的文章
[Zhu, Jiaojun]的文章
百度学术
百度学术中相似的文章
[Yu, Yue]的文章
[Gao, Tian]的文章
[Zhu, Jiaojun]的文章
必应学术
必应学术中相似的文章
[Yu, Yue]的文章
[Gao, Tian]的文章
[Zhu, Jiaojun]的文章
相关权益政策
暂无数据
收藏/分享
文件名: eco.2212.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。