Estimation and testing of linkages between forest structure and rainfall interception characteristics of a Robinia pseudoacacia plantation on China's Loess Plateau
Ma, Changkun2,3; Luo, Yi1,3; Shao, Mingan1,3; Jia, Xiaoxu1,3
刊名JOURNAL OF FORESTRY RESEARCH
2021-06-06
页码14
关键词Rainfall interception loss Canopy storage Canopy structure Regression models China's Loess Plateau
ISSN号1007-662X
DOI10.1007/s11676-021-01324-w
通讯作者Luo, Yi(luoyi@igsnrr.ac.cn) ; Shao, Mingan(mashao@ms.iswc.ac.cn)
英文摘要Understanding the interaction between canopy structure and the parameters of interception loss is essential in predicting the variations in partitioning rainfall and water resources as affected by changes in canopy structure and in implementing water-based management in semiarid forest plantations. In this study, seasonal variations in rainfall interception loss and canopy storage capacity as driven by canopy structure were predicted and the linkages were tested using seasonal filed measurements. The study was conducted in nine 50 m x 50 m Robinia pseudoacacia plots in the semiarid region of China's Loess Plateau. Gross rainfall, throughfall and stemflow were measured in seasons with and without leaves in 2015 and 2016. Results show that measured average interception loss for the nine plots were 17.9% and 9.4% of gross rainfall during periods with leaves (the growing season) and without leaves, respectively. Average canopy storage capacity estimated using an indirect method was 1.3 mm in the growing season and 0.2 mm in the leafless season. Correlations of relative interception loss and canopy storage capacity to canopy variables were highest for leaf/wood area index (LAI/WAI) and canopy cover, followed by bark area, basal area, tree height and stand density. Combined canopy cover, leaf/wood area index and bark area multiple regression models of interception loss and canopy storage capacity were established for the growing season and in the leafless season in 2015. It explained 97% and 96% of the variations in relative interception loss during seasons with and without leaves, respectively. It also explained 98% and 99% of the variations in canopy storage capacity during seasons with and without leaves, respectively. The empirical regression models were validated using field data collected in 2016. The models satisfactorily predicted relative interception loss and canopy storage capacity during seasons with and without leaves. This study provides greater understanding about the effects of changes in tree canopy structure (e.g., dieback or mortality) on hydrological processes.
资助项目National Key Research and Development Program[2016YFC0501603]
WOS关键词WATER STORAGE CAPACITY ; CANOPY INTERCEPTION ; TREE MORTALITY ; TROPICAL TREES ; STEMFLOW ; THROUGHFALL ; AFFORESTATION ; DROUGHT ; MODEL ; EVAPORATION
WOS研究方向Forestry
语种英语
出版者NORTHEAST FORESTRY UNIV
WOS记录号WOS:000658270500002
资助机构National Key Research and Development Program
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/164064]  
专题中国科学院地理科学与资源研究所
通讯作者Luo, Yi; Shao, Mingan
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China
2.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg, Xian, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Ma, Changkun,Luo, Yi,Shao, Mingan,et al. Estimation and testing of linkages between forest structure and rainfall interception characteristics of a Robinia pseudoacacia plantation on China's Loess Plateau[J]. JOURNAL OF FORESTRY RESEARCH,2021:14.
APA Ma, Changkun,Luo, Yi,Shao, Mingan,&Jia, Xiaoxu.(2021).Estimation and testing of linkages between forest structure and rainfall interception characteristics of a Robinia pseudoacacia plantation on China's Loess Plateau.JOURNAL OF FORESTRY RESEARCH,14.
MLA Ma, Changkun,et al."Estimation and testing of linkages between forest structure and rainfall interception characteristics of a Robinia pseudoacacia plantation on China's Loess Plateau".JOURNAL OF FORESTRY RESEARCH (2021):14.
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