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Terrestrial laser scanning-derived canopy interception index for predicting rainfall interception

文献类型：期刊论文

作者Yu, Yue1,7,8; Gao, Tian7,8; Zhu, Jiaojun7,8; Wei, Xiaohua2; Guo, Qinghua3; Su, Yanjun3,4; Li, Yumei3; Deng, Songqiu5; Li, Mingcai7
刊名ECOHYDROLOGY
出版日期2020
卷号13期号:5
关键词canopy interception index dimensionless descriptor rainfall interception temperate forests terrestrial laser scanning
ISSN号1936-0584
DOI10.1002/eco.2212
文献子类Article
英文摘要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.
学科主题Ecology ; Environmental Sciences ; Water Resources
出版地HOBOKEN
电子版国际标准刊号1936-0592
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
语种英语
WOS记录号WOS:000528773800001
出版者WILEY
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]
源URL[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.Liaoning Key Lab Management Noncommercial Forests, Shenyang, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Univ British Columbia, Dept Earth Environm & Geog Sci, Kelowna, BC, Canada
4.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China
5.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA USA
6.Shinshu Univ, Inst Mt Sci, Nagano, Japan
7.Chinese Acad Sci, Inst Appl Ecol, CAS Key Lab Forest Ecol & Management, Shenyang 110016, Peoples R China
8.Chinese Acad Sci, Qingyuan Forest CERN, Shenyang, Peoples R China
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).

入库方式： OAI收割

来源：植物研究所

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