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土壤水分变异对降雨和植被的响应
引用本文:杨启红,陈丽华,张富,张超波.土壤水分变异对降雨和植被的响应[J].北京林业大学学报,2008(Z2).
作者姓名:杨启红  陈丽华  张富  张超波
作者单位:北京林业大学水土保持学院水土保持与荒漠化防治教育部重点实验室;甘肃省定西市水土保持工作总站;
基金项目:“十一五”国家科技支撑计划项目(2006BAD03A02、2006BAD09B02--03)
摘    要:在我国半干旱地区水土流失严重的黄土高原,开展土壤水分的时空变异研究有着极其重要的生态意义,是土地可持续利用的基础。该文利用时间序列分析方法,研究了黄土高原丘壑区降雨、植被对土壤水分特征变化的影响。结果表明,红豆草和豌豆的表层土壤含水量对降雨响应速度快于油松土壤含水量;水分入渗增湿与同期降雨量密切相关;土壤含水量对降雨的响应时间随土层深度的增加而变长。

关 键 词:土壤水分  降雨  植被  时间序列

Responses of soil moisture variations to rainfall and vegetation
YANG Qi-hong,CHEN Li-hua,ZHANG Fu,ZHANG Chao-bo. Key Laboratory for Soil , Water Conservation & Desertification Combating of Ministry of Education,College of Soil , Water Conservation,Beijing Forestry University,P.R.China, Soil , Water Conservation Station of Dingxi City,Gansu Province,P.R.China..Responses of soil moisture variations to rainfall and vegetation[J].Journal of Beijing Forestry University,2008(Z2).
Authors:YANG Qi-hong  CHEN Li-hua  ZHANG Fu  ZHANG Chao-bo Key Laboratory for Soil  Water Conservation & Desertification Combating of Ministry of Education  College of Soil  Water Conservation  Beijing Forestry University    PRChina  Soil  Water Conservation Station of Dingxi City  Gansu Province    PRChina
Institution:YANG Qi-hong1,CHEN Li-hua1,ZHANG Fu2,ZHANG Chao-bo1.1 Key Laboratory for Soil , Water Conservation & Desertification Combating of Ministry of Education,College of Soil , Water Conservation,Beijing Forestry University,100083,P.R.China,2 Soil , Water Conservation Station of Dingxi City,Gansu Province,743000,P.R.China.
Abstract:Soil moisture is a basic survival factor for plants.Soil erosion is serious in the Loess Plateau of China.The research on the temporal and spatial variation of soil moisture has an important ecological significance and it is also the basis of sustainable land use.The method of time-series analysis was used to study the effects of rainfall and vegetation on soil moisture characteristics in the hilly areas on the Loess Plateau.The results indicated that the response rates of soil moisture content for Onobrych...
Keywords:soil moisture  rainfall  vegetation  time series  
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