[1]WU Jiangxing,YAN Junxia,LI Hongjian.Spatial Heterogeneity of Soil Carbon and Nitrogen in Different Vegetation Restoration Types in the Guandi Mountain Area of Shanxi Province[J].Research of Soil and Water Conservation,2015,22(06):42-46,50.
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Spatial Heterogeneity of Soil Carbon and Nitrogen in Different Vegetation Restoration Types in the Guandi Mountain Area of Shanxi Province
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
22
Number of periods:
2015 06
Page number:
42-46,50
Column:
Public date:
2015-12-28
- Title:
- Spatial Heterogeneity of Soil Carbon and Nitrogen in Different Vegetation Restoration Types in the Guandi Mountain Area of Shanxi Province
- Keywords:
- vegetation restoration type; soil total carbon and total nitrogen; spatial heterogeneity; Guandi Mountain area; Shanxi Province
- CLC:
- S714.5
- DOI:
- -
- Abstract:
- Taking two different vegetation types [one man-planted larixprincipis-rupprechtii forest (LYS) and one natural succession coniferous and broadleaf mixed forest (ZKHJ)] as research sites, we analyzed heterogeneity of total carbon (C), total nitrogen (N) of the soil in the two forests, and influencing factors on their heterogeneity. At the same time, we calculated the minimum sampling number of all the variables in different confidence levels and under the responding estimation accuracy. The results showed that: ① significant difference of the C and N in the two vegetation restoration types existed, contents of both the C and N in ZKHJ forest was 1.00% and 0.07% higher than those in LYS forest, and spatial variation coefficients of the C and N in the ZKHJ were 17.22% and 7.70% higher than those in the LYS forest; ② impact of soil water content on spatial distribution of C and N in both forest was higher than soil temperature; ③ the C and N in the both forests showed a strong autocorrelation, and stochastic factors had little effect on spatial heterogeneity of C and N, and most changes of spatial heterogeneity resulted from structural factors; ④ at the same confidence interval and same estimation accuracy, the minimum sampling number was higher for ZKHJ forest than that for LYS forest; the sampling number of both the C and N for both the forest increased with the decrease of estimation accuracy.
- References:
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