Factors Influencing Canopy Interception of Phyllostachy Edulis Forest in Yangtze River Delta Region

HAN Cheng; ZHUANG Jia-yao; ZHANG Jin-chi; WANG Chun-lin; LIU Xin; GU Zhe-yan

doi:10.13961/j.cnki.stbctb.2014.03.018

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Factors Influencing Canopy Interception of Phyllostachy Edulis Forest in Yangtze River Delta Region

- Factors Influencing Canopy Interception of Phyllostachy Edulis Forest in Yangtze River Delta Region
- Bulletin of Soiland Water Conservation Vol. 33, Issue 3, Pages: 92-96(2014)
- 作者机构：
  
  南京林业大学森林资源与环境学院,江苏,南京,210037
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2014.03.018
  CLC：
- Published：2014
- 稿件说明：
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HAN Cheng, ZHUANG Jia-yao, ZHANG Jin-chi, et al. Factors Influencing Canopy Interception of Phyllostachy Edulis Forest in Yangtze River Delta Region[J]. Bulletin of Soiland Water Conservation, 2014, 33(3): 92-96.
DOI：

HAN Cheng, ZHUANG Jia-yao, ZHANG Jin-chi, et al. Factors Influencing Canopy Interception of Phyllostachy Edulis Forest in Yangtze River Delta Region[J]. Bulletin of Soiland Water Conservation, 2014, 33(3): 92-96. DOI： 10.13961/j.cnki.stbctb.2014.03.018.

摘要

为了探究毛竹林林冠截留与其影响因素之间的关系

于2012年4月至2013年3月

定位观测了毛竹林的林冠截留特征以及相关影响因子数据。结果表明

研究期内

长三角地区毛竹林的穿透雨率、树干茎流率和林冠截留率

分别占同期降雨总量的60.6%

6.7%和32.7%;林冠枝叶部分与树干部分的持水能力分别为0.82和0.1 mm;引入叶面积指数作为林冠特征并与林冠截留进行分析

结果发现各月林冠截留总量随月平均叶面积指数的增加呈一定程度上增大的趋势

月平均林冠截留率随各月平均叶面积指数的增大而减小;各气象因子与毛竹林的林冠截留量的灰色关联度大小顺序为:降雨强度>降雨量>风速>空气温度>风向>空气湿度

各气象因子与毛竹林的林冠截留率的灰色关联度大小顺序依次为:空气温度>风向>降雨量>风速>降雨强度>空气湿度。

Abstract

In order to determine the relationship between influencing factors and canopy interception of Phyllostachy edulis forest

the canopy interception and influencing factors were studied with location fixed observation method from April 2012 to March 2013. Results showed that the throughfall

stemflow and canopy interception accounted for 60.6%

6.7% and 32.7% of total precipitation during the study period. Canopy storage capacity and stem storage capacity of Phyllostachy edulis forest were 0.82 and 0.1 mm

respectively. Leaf area index(LAI) was introduced as a canopy characteristic and the correlation between LAI and canopy interception was analyzed. Canopy interception of each month increased with the increase in mean monthly LAI to some extent. Mean monthly canopy interception rate decreased with the increase of mean monthly LAI outstandingly. The environmental factors influencing canopy interception were evaluated by gray relational grade which showed an order as: rainfall intensity > precipitation > wind speed > temperature > wind direction > air humidity

while the order of the environmental factors influencing canopy interception rate

as evaluated with the same method

was: temperature > wind direction > precipitation > wind speed > rainfall intensity > air humidity.

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