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六盘山主要植被类型冠层截留特征
引用本文:徐丽宏,时忠杰,王彦辉,熊伟,于澎涛.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):2487-2493.
作者姓名:徐丽宏  时忠杰  王彦辉  熊伟  于澎涛
作者单位:1.中国林业科学研究院森林生态环境与保护研究所, 北京 100091;2.中国林业科学研究院荒漠化研究所, 北京 100091
基金项目:国家自然科学基金项目,林业公益性行业科研专项,中央级公益性科研院所基本科研业务费专项,国家林业局森林生态环境重点实验室项目资助
摘    要:通过野外观测和模型模拟,研究了六盘山主要森林类型的冠层截留量、冠层截留容量和冠层截留模拟参数的变化.结果表明:六盘山主要森林类型的冠层截留率在8.59%~17.94%,穿透降雨率超过80%,树干茎流率在0.23%~3.10%;冠层截留容量在0.78~1.84 mm,其中叶截留容量在0.62~1.63 mm,枝干截留容量在0.13~0.29 mm,且针叶林的冠层截留容量高于阔叶林.考虑冠层叶面积指数的冠层截留改进模型较原有模型具有更好的模拟精度, 其中,研究区红桦林、华山松林、李灌丛和辽东栎-少脉椴混交林的模拟效果较好,辽东栎林、油松林和华西四蕊槭 石枣子灌丛模拟效果相对较差,这可能与冠层结构、叶面积指数以及降水特性等差异有关.

关 键 词:冠层截留  截留容量  截留模型  六盘山  夏玉米    需水关键期    降水年型    统计模型    APSIM  

Canopy interception characteristics of main vegetation types in Liupan Mountains of China
XU Li-hong,SHI Zhong-jie,WANG Yan-hui,XIONG Wei,YU Peng-tao.Canopy interception characteristics of main vegetation types in Liupan Mountains of China[J].Chinese Journal of Applied Ecology,2010,21(10):2487-2493.
Authors:XU Li-hong  SHI Zhong-jie  WANG Yan-hui  XIONG Wei  YU Peng-tao
Institution:1.Research Institute of Forestry Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China|;2.Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China; .
Abstract:Based on field observation and modeling analysis, this paper studied the canopy interception, interception capacity, and some parameters for interception modeling of main forest types in Liupan Mountains of China. For the test main forest types, the ratio of their canopy interception to precipitation ranged from 8.59% to 17.94%, throughfall was more than 80%, and stemflow ranged from 0.23% to 3.10%. The canopy interception capacity was 0.78-1.88 mm, among which, leaf interception capacity was 0.62-1.63 mm, and stem interception capacitywas 0.13-0.29 mm. Conifer forest had a higher canopy interception capacity than broad-leaved forest. The modified model considering the change of leaf area index, which was used in this paper, had a higher simulating precision than the interception model used before. The simulation results for Betula albo-sinensis forest, Pinus armandii forest, Prunus shrub, and Quercus liaotungensis-Tilia paucicostata forest were good, but those for Quercus liaotungensis forest, Pinus tabulaeformis forest, and Acer tetramerum and Euonymus sanguineus shrub were bad, which might be related to the differences in canopy structure, leaf area index, and precipitation characteristics.
Keywords:canopy interception  interception capacity  interception model  Liupan Mountains  summer maize  critical period of water requirement  yearly precipitation pattern  statistical model  APSIM    
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