人工毛竹林土壤水分对气象因子的响应  

Responses of Soil Moisture to Meteorological Factors in Artificial Bamboo Forest

作　　者：陈明向 翟禄新[1,2] 阳扬 CHEN Ming-xiang;ZHAI Lu-xin;YANG Yang(School of Environment and Resources,Guangxi Normal University,Guilin,Guangxi 541004;Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection,Guilin,Guangxi 541004)

机构地区：[1]广西师范大学环境与资源学院,广西桂林541004 [2]珍稀濒危动植物生态与环境保护教育部重点实验室,广西桂林541004

出　　处：《安徽农业科学》2021年第3期72-75,共4页Journal of Anhui Agricultural Sciences

基　　金：国家自然科学基金项目(41261005,41867028)。

摘　　要：为研究土壤水分对气象因子的响应规律,以广西猫儿山典型小流域的人工毛竹林地为研究区,以定位观测的气象数据和4个测点的土壤水分进行典型相关分析,结果表明,在气象要素方面,水汽压差(VPD)对4个点不同厚度的土壤水分(SMC)的影响最显著,即VPD的波动最易导致土壤水分的变化。在影响时间方面,4个点中大体为土壤水分观测日前连续4 d的气象因子(CMF)对SMC影响最显著,表明土壤水分的变化更多地受前4 d的气象条件的综合影响。各气象要素中降水量(P)与CMF呈正相关关系,但影响不大,表明土壤水分除受气象条件影响外,植被则是另一主要影响因子。In order to study the response laws of soil moisture to meteorological factors,the artificial bamboo forests in typical small watershed of Mao’er Mountain,Guangxi Province were used as the research area,and the canonical correlation analysis was carried out based on the meteorological data of positioning observation and the soil moisture at 4 measuring points.The results showed that in terms of meteorological elements,soil moisture content(SMC)at four sites with different soil depth responds significantly to canopy meteorological factors(CMF),especially to water vapor pressure difference(VPD),namely most likely changing soil moisture content.In reference to influence time,CMF generally had the most significant impact on SMC at four sites before the nearly four observation days on the soil moisture content,which indicated that the change of soil moisture content was influenced mainly by the weather condition of the previous four days.Precipitation(P)of the meteorological elements was positively correlated with CMF,but the impact was not significant,indicating that the vegetation was another major impact factor,in addition to the effects of meteorological conditions on soil moisture content.

关 键 词：土壤水分 气象因子 人工毛竹林 生态水文学 响应 典型相关分析 

分 类 号：S714[农业科学—林学]