南京林业大学学报(自然科学版) ›› 2009, Vol. 33 ›› Issue (02): 31-.doi: 10.3969/j.jssn.1000-2006.2009.02.008

• 研究论文 • 上一篇    下一篇

北亚热带毛竹林林冠截留特征的研究

黄进1,胡海波1,张家洋2,张金池1   

  1. 1.南京林业大学森林资源与环境学院,江苏南京210037;2.新乡学院,河南新乡453000
  • 出版日期:2009-04-18 发布日期:2009-04-18
  • 基金资助:
    收稿日期:2008-06-02修回日期:2008-12-24基金项目:国家林业局长江三角洲城市森林生态系统定位研究课题(2001-5);国家“十一五”科技支撑计划(2006BAD03A16)作者简介:黄进(1983—),博士生。*胡海波(通讯作者),教授,研究方向为水土保持、森林水文学、林业生态工程。Email: hhbo@sina.com引文格式:黄进,胡海波,张家洋,等. 北亚热带毛竹林林冠截留特征的研究[J]. 南京林业大学学报:自然科学版,2009,33(2):31-34.

Canopy interception characteristics of bamboo forests in northern semitropics

HUANG Jin1, HU Haibo1, ZHANG Jiayang2, ZHANG Jinchi1   

  1. 1.College of Forest Resources and Environment, Nanjing Forestry University, Nanjing 210037, China; 2.Xinxiang College, Xinxiang 453000, China
  • Online:2009-04-18 Published:2009-04-18

摘要: 对长江三角洲森林生态定位站的北亚热带毛竹林林冠截留作用进行了观测研究,结果表明:研究区毛竹林的林冠全年截留总量为171.7 mm,场均截留率为29.4%,有着较好的生态水文作用。不同雨量级、雨强级下,毛竹林林冠截留效果差异显著,在小雨量级、雨强级下,毛竹林林冠截留效果较好。毛竹林林冠截留量(率)与降雨量、降雨强度、降雨历时、叶面积指数、枝叶雨前干燥度存在不同程度的相关性,降雨历时对林冠截留量起重要作用,降雨强度对林冠截留率起重要作用。在已有的林冠截留模型基础上,引入叶面积指数变化动态加以改进,改进后的模型有更好的适用性。

Abstract: The canopy interception effects of northern subtropical bamboo forests were observed and studied in the Yangtze River delta forest located ecosystem station. Our result showed that the annual canopy interception amount was 171.7 mm, average canopy interception rate was 29.4%, which had better ecohydrological effect. The canopy interception effects of bamboo forest were different markedly under the different rainfall level, rainfall intensities level, it had better interception effect under small rainfall level and small rainfall intensities. The canopy interception (rate) of bamboo forest was correlated with different degree of rainfall, rainfall intensities, rainfall duration, leaf area index, and aridity of branch leaves before rain. Rainfall duration played the first role on the canopy interception and rainfall intensities played the first role on the canopy interception rate. Based on Wang yanhui’s canopy interception model, we introduced the change dynamic of leaf area index to improve his model and we found the improved model had better applicability.

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