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Chinese Journal of Applied Ecology ›› 2005, Vol. 16 ›› Issue (9): 1591-1596.

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Spatial heterogeneity of soil moisture after raining at forest-grassland landscape boundary in hilly area of Loess Plateau

YOU Wenzhong1,2, ZENG Dehui1, LIU Mingguo2, SONG Xide3, YE Yanhui3, ZHANG Yong 3   

  1. 1. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;
    2. College of Forestry, Shenyang Agricultural University, Shenyang 110161, China;
    3. College of Forestry, Northwest Sci-Tech University of Agriculture and Forestry, Yangling 712100, China
  • Received:2005-04-23 Revised:2005-05-25 Online:2005-09-15 Published:2005-09-15

Abstract: Soil moisture is a main factor limiting vegetation restoration in semi-arid region.In this paper,the spatial variability of different layers soil moisture after raining at the forest-grassland boundary in hilly area of Loess Plateau were studied by traditional and geostatistical analysis methods.The results showed that the moisture content in surface (0~10 cm) and subsurface soil layer (10~20 cm) of grassland was higher than that of forestland.The two layers soil moisture content at forest-grassland boundary showed a small variation but an obvious ecological distribution.By using moving split-window techniques,it was obtained that the width of edge influence in surface and subsurface layer was 8 and 6 m,respectively.Geostatistical analyses showed that the spatial distribution of two layers soil moisture had a pure nugget effect in grassland,linear model in forestland,and spherical model in forest-grassland boundary.The spatial heterogeneity of two layers soil moisture was higher at forest-grassland boundary than at forestland and grassland,which had a stronger spatial dependence and autorelation.Kriging maps expressed the spatial structural characters.The distribution of soil moisture in two layers showed a strip shape near forest edge,and a patch shape far from the edge.

Key words: Forest-grassland boundary, Soil moisture content, Geostatistics, Spatial distribution

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