欢迎访问林草资源研究
Scientific Research

Study on Soil Moisture Content and Its Impact Factors in Taihangshan Low Gneiss Mountainous Area —Tabe Fuping Country Hebei Province as an example

  • SHI Xinyu ,
  • LIU Yang ,
  • QI Guohui ,
  • ZHANG Xuemei ,
  • LI Baoguo
Expand
  • 1.Agricultural University of Hebei,Baoding,Hebei 071000,China;
    2.Research Center for Walnut Engineering and Technology of Hebei,Lincheng,Hebei 054300,China

Online published: 2020-12-01

Abstract

In order to resolve the problem of drought in gneiss mountainous area in Taihang Mountains,an analysis about the relationship between soil moisture content and slope aspect,slope position,gradient,soil layer thickness,soil bulk density,soil density,vegetation coverage,field capacity,capillary porosity,soil texture was made in Fuping,which is a typical droughty place in gneiss mountainous area in Taihang mountains.The results showed that the soil moisture content is extremely low,which was about 3.18%~8.61%.The correlation coefficients between soil moisture content and each affecting factor were 0.745,0.612,-0.078,0.992,-0.924,-0.693,0.974,0.834,0.798,0.918.The correlation between soil moisture content and gradient was not significant,while the correlation between soil moisture content and the other 8 factors was highly significant.Principal component analysis screened out 5 factorsslope aspect,slope position,soil thickness,vegetation coverage and soil bulk density.The direct path coefficient was in the order of thickness (0.609)> vegetation coverage (0.224)> soil bulk density (-0.185).In combination with the condition of indirect path coefficient,such a conclusion was reached that soil layer thickness and vegetation coverage both had positive effects on soil moisture content,while soil bulk density had negative effect on it.

Cite this article

SHI Xinyu , LIU Yang , QI Guohui , ZHANG Xuemei , LI Baoguo . Study on Soil Moisture Content and Its Impact Factors in Taihangshan Low Gneiss Mountainous Area —Tabe Fuping Country Hebei Province as an example[J]. Forest and Grassland Resources Research, 2015 , 0(3) : 114 -120 . DOI: 10.13466/j.cnki.lyzygl.2015.03.022

References

[1]王国梁,刘国彬,党小虎.黄土丘陵区不同土地利用方式对土壤含水率的影响[J].农业工程学报,2009,25(2):31-35.
[2]孙甲霞,张万军,曹建生.太行山低山区主要植被下土壤贮水量和土壤水分利用效率研究[J].华北农学报,2008,23(S1):173-177.
[3]周择福.太行山低山区不同立地土壤水分的研究[J].北京林业大学学报,1997,19(1):125-131.
[4]王云强,张兴昌.黄土区小尺度坡面土壤含水率时空变异性研究[J].水土保持学报,2008,22(2):32-37.
[5]王齐瑞,谭晓风,高峻.太行山山前坡地不同土地利用方式下土壤水分的时空变异特征[J].水土保持学报,2008,22(4):100-110.
[6]吴向东,陈小兵,郭建青.黄河三角洲农田土壤含水率空间变异特征研究[J].灌溉排水学报,2013,32(2):48-51.
[7]程强,孙宇瑞,林剑辉.牧场土壤含水率与坚实度空间变异与相关性分析[J].农业机械学报,2009,40(3):103-107.
[8]陈顺伟,蒋妙定,罗士元.沿海基岩海岸不同林分土壤含水率与气象因子的相关分析[J].浙江林业科技,1995,15(6):22-27.
[9]李诚志,刘志辉.塔里木河下游土壤风蚀期0~15cm层土壤含水率分布规律[J].地理科学,2012,32(4):511-515.
[10]胡慧蓉,田困.土壤学实验指导教程[M].北京:中国林业出版社,2012.
[11]黄昌勇,徐建明.土壤学[M].第三版.北京:中国农业出版社,2010.
[12]张庆利,等.SPSS宝典[M].第二版.北京:电子工业出版社,2012.
[13]Hotelling H.Analysis of a complex of statistical variables into principal components[J].Journal of Educational Psychology,(24):417-441.
[14]朱建平,方匡南,章贵军.SPSS统计分析与应用[M].北京:首都经济贸易大学出版社,2013.
[15]付同刚,陈洪松,张伟,等.喀斯特小流域土壤含水率空间异质性及其影响因素[J].农业工程学报,2014,30(14):124-131.
[16]范世香,韩绍文.地面坡度对地表径流影响的实验研究[J].水土保持通报,1991,11(4):6-10.
[17]米秋菊.太行山崇陵小流域土地利用结构对土壤水分时空分布的影响[J].水科学与工程技术,2001(2):62-64.
[18]刘强,王军,李艳红,等.红松人工林生态系统土壤含水率变化规律[J].东北林业大学学报,2011,39(2):60-63.
[19]张川,陈洪松,聂云鹏,等.喀斯特地区洼地剖面土壤含水率的动态变化规律[J].中国生态农业学报,2013,21(10):1225-1231.
[20]王国梁,刘国彬,党小虎.黄土丘陵区不同土地利用方式对土壤含水率的影响[J].农业工程学报,2009,25(2):31-35.
Outlines

/