Abstract：[Background] Canopy interception method at present is still in short, though simulated rainfall fixed some problems on precipitation, the research on canopy interception of tall shrubs and even arboreal forests is still limited. Beijing is located in a sub-humid and sub-arid continental monsoon climate area. This work is to study the redistribution of rainfall by the canopy.[Methods] A simulated canopy rainfall interception experiment was conducted under the condition of artificial rainfall with QY JY-503C. and the results from the canopy interception simulated experiment was compared with that of field data in Robinia pseudoacacia, Platycladus orientalis, and Pinus tabulaeformis sample plots under the condition of natural rainfall. Field data of natural rainfall was collected in July to September 2018 of 3 sample plots.[Results] 1) In the study period, canopy interception of R. pseudoacacia, P. orientalis and P. tabulaeformis sample plots were orderly 68.45 mm,78.21 mm and 90.15 mm. They respectively accounted for 26.08%、29.79% and 34.34%t of the rainfall outside the forest. 2) Compared with canopy interception rates of three tree species simulated canopy with similar leaf area index, the canopy interception rates of R. pseudoacacia, P. orientalis and P. tabulaeformis under the condition of natural rainfall were 4.57%, 2.7% and 0.63% respectively. This simulated experiment was better for canopy simulation of P. orientalis and P. tabulaeformis. 3) With the increase of leaf area index, the penetrating rainfall, throughfall ratio and stemflow rate of the same tree species under the same rainfall condition showed a decreasing trend. However, the canopy interception rate showed an increasing trend. 4) The canopy interception test of canopy model that took leaf area index as the control variable reflected canopy interception characteristics under natural rainfall conditions.[Conclusions] In the research period, the canopy interception abilities of three species are all in the middle and upper level among the different forests. This study may provide new research and test method for canopy interception research and a theoretical basis for forest eco-hydrological process and impact mechanism research.
BONAN G B.Forests and climate change:Forcings, feedbacks, and the climate benefits of forests[J].Science,2008(320):1444.
[2]
COBLE A A, HART S C.The significance of atmospheric nutrient inputs and canopy interception of precipitation during ecosystem development in pion-juniper woodlands of the southwestern USA[J].Journal of Arid Environments,2013(98):79.
[3]
NANKO K, ONDA Y, ITO A, et al. Spatial variability of throughfall under a single tree:Experimental study of rainfall amount, raindrops, and kinetic energy[J]. Agricultural and Forest Meteorology, 2011, 151(9):1180.
[4]
石培礼,李文华.森林植被变化对水文过程和径流的影响效应[J].自然资源学报,2001,16(5):481. SHI Lipei,LI Wenhua.Effects of forest vegetation changes on hydrological processes and runoff[J].Journal of Natural Resources,2001,16(5):481.
[5]
刘世荣.中国森林生态系统水文生态功能[M].北京:中国林业出版社,1996:150. LIU Shirong.Hydrological and ecological functions of forest ecosystems in China[M].Beijing:China Forestry Publishing House,1996:150.
[6]
WANG Dagang,WANG Guiling, ANAGNOSTOU E N.Evaluation of canopy interception schemes in land surface models[J].Journal of Hydrology,2007,347(3/4):308.
[7]
王馨,张一平,刘文杰.Gash模型在热带季节雨林林冠截留研究中的应用[J].生态学报,2006,26(3):722. WANG Xin,ZHANG Yiping,LIU Wenjie.Modeling canopy rainfall interception of a tropical seasonal rainforest in Xishuangbanna, Southwest[J].Acta Ecologica Sinica,2006,26(3):722.
[8]
VALENTE F,DAVID J S,GASH J H C.Modelling interception loss for two sparse eucalypt and pine forests in central Portugal using reformulated Rutter and Gash analytical models[J].Journal of Hydrology,1997,190(1):141.
[9]
刘家冈,万国良,张学培,等.林冠对降雨截留的半理论模型[J].林业科学,2000,36(2):2. LIU Jiagang,WAN Guoliang,ZHANG Xuepei,et al.Semi-theoretical model of rainfall interception of forest canopy[J]. Scientia Silvae Sinicae,2000,36(2):2.
[10]
HERBST M,ROSIER P T W,MCNEIL D D,et al.Seasonal variability of interception evaporation from the canopy of a mixed deciduous forest[J].Agricultural and Forest Meteorology,2008,148(11):1655.
[11]
DEGUCHI A,HATTORI S,PARK H.The influence of seasonal changes in canopy structure on interception loss:Application of the revised Gash model[J]. Journal of Hydrology,2006,318(1/4):80.
[12]
GASH J H C.An analytical model of rainfall interception by forests[J]. Quarterly Journal of the Royal Meteorological Society, 1979,105:443.
[13]
GASH J H C,LLOYD C R,LACHAUD G.Estimating sparse forest rainfall interception with an analytical model[J].Journal of Hydrology,1995,170(1/4):79.
[14]
MUZYLO A,LLORENS P,VALENTE F,et al.A review of rainfall interception modelling[J].Journal of Hydrology,2009,370(1/4):191.
[15]
李想,王亚明,孟晨,等.基于幼树模拟降雨实验的树冠动态截留模型[J].北京林业大学学报,2018(4):43. LI Xiang,WANG Yaming,MENG Chen,et al.A dynamic crown interception model based on simulated rainfall experiments of small trees[J].Journal of Beijing Forestry University, 2018(4):43.
[16]
DIJK A I J M,BRUIJNZEEL L A.Modeling rainfall interception by vegetation of variable density using an adapted analytical model. Part 1. Model description[J].Journal of Hydrology,2001,247(3/4):239.
[17]
黄团冲,贺康宁,王先棒.青海大通白桦林冠层降雨再分配与冠层结构关系研究[J].西北林学院学报,2018,151(3):7. HUANG Tuanchong,HE Kangning,WANG Xianbang.Relationship between rainfall redistribution and canopy structure of Betula platyphylla canopy in Datong, Qinghai[J].Journal of Northwest Forestry University, 2018,151(3):7.
[18]
刘泽彬,田奥,刘宇,等.六盘山半湿润区坡面华北落叶松林冠层截留的时空变化及空间尺度效应[J]. 水土保持学报,2017,31(5):231. LIU Zebin,TIAN Ao,LIU Yu,et al.Spatial-temporal variation and scale effect of canopy interception on a Larix principis-rupprechtii plantation slope in Liupan Mountains, Ningxia, China[J].Journal of Soil and Water Conservation,2017,31(5):231.
[19]
FLEISCHBEIN K, WILCKE W, GOLLER R, et al. Rainfall interception in a lower montane forest in Ecuador:Effects of canopy properties[J]. Hydrological Processes, 2005,19(7):355.
[20]
徐丽宏,时忠杰,王彦辉,等.六盘山主要植被类型冠层截留特征[J].应用生态学报,2010,21(10):2487. XU Lihong,SHI Zhongjie,WANG Yanhui,et al.Canopy interception characteristics of main vegetation types in Liupan Mountains of China[J].Chinese Journal of Applied Ecology, 2010,21(10):2487.
[21]
陈丽华,余新晓,黄枝英,等.北京山区典型森林植被林冠截留特征及模拟[J].应用基础与工程科学学报,2013,21(3),423. CHEN Lihua,YU Xinxiao,HUANG Zhiying,et al.Characteristics and simulation on canopy interception of typical forest vegetation in Beijing West Mountain Area[J].Journal of Basic Science and Engineering.2013,21(3),423.
[22]
尹准生,孙长忠,赵明扬,等.黄土高原半干旱区油松人工林冠层截留降雨模拟与分析[J]. 中国水土保持科学, 2015, 13(3):45. YIN Zhunsheng,SUN Changzhong,ZHAO Mingyang,et al.Simulation and analysis of canopy interception on Pinus tabulaeformis plantations in semi-arid areas of the Loess Plateau[J].Science of Soil and Water Conservation, 2015, 13(3):45.
[23]
姜海燕,赵雨森,信小娟,等.大兴安岭几种典型林分林冠层降水分配研究[J].水土保持学报,2008,22(6):197. JIANG Haiyan,ZHAO Yusen,XIN Xiaojuan,et al.Precipitation distribution laws of different forest stand in Daxing' anling[J].Journal of Soil and Water Conservation.2008, 22(6):197.
[24]
时忠杰,张宁南,何常清,等.桉树人工林冠层、凋落物及土壤水文生态效应[J].生态学报,2009,30(7):1932. SHI Zhongjie,ZHANG Ningnan,HE Changqing,et al.Eco-hydrological effect of the canopy, litter and soil of a eucalyptus plantation in South China[J]. Acta Ecologica Sinica, 2009, 30(7):1932.
[25]
董玲玲,康峰峰,韩海荣,等.辽河源3种林分降雨再分配特征及其影响因素[J].水土保持学报,2018,32(4):145. DONG Lingling, KANG Fengfeng, HAN Hairong,et al.Traits and influencing factors of rainfall redistribution in three types of forest in Liaoheyuan[J].Journal of Soil and Water Conservation. 2018,32(4):145.
[26]
周择福,张光灿,刘霞,等.树干茎流研究方法及其述评[J].水土保持学报,2004, 18(3):137. ZHOU Zhefu,ZHANG Guangchan,LIU Xia,et al.Review on research methods of stemflow[J].Journal of Soil and Water Conservation, 2004, 18(3):137.
[27]
胡珊珊,于静洁,胡垄,等.华北石质山区油松林对降水再分配过程的影响[J].生态学报,2010,30(7):79. HU Shanshan,YU Jingjie,HU Long,et al.Impacts of Chinese pine (Pinus tabulaeformis) plantations on rainfall redistribution processes:A case study for the mountainous area of North China[J].Acta Ecologica Sinica,2010,30(7):79.
[28]
战伟庆,张志强,武军,等.华北油松人工林冠层穿透雨空间变异性研究[J]. 中国水土保持科学,2006,4(3):26. ZHAN Weiqing,ZHANG Zhiqiang,WU Jun,et al.Spatial variability of throughfall in forest canopy layer of Chinese pine(Pinus tabulaeformis)plantation in Northern China[J].Science of Soil and Water Conservation,2006,4(3):26.
[29]
LOESCHER H W, POWERS J S, OBERBAUER S F. Spatial variation of throughfall volume in an old-growth tropical wet forest, Costa Rica[J].Journal of Tropical Ecology,2002,18(3):397.
2020, Vol. 18 
