Analysis on Spatial Variability of Soil Organic Carbon and Nitrogen Based on REML and MOM in a Small Watershed on Loess Plateau

FANG Xuan; AN Shao-shan; XUE Zhi-jing; LI Bi-cheng

doi:10.13961/j.cnki.stbctb.2014.04.041

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Analysis on Spatial Variability of Soil Organic Carbon and Nitrogen Based on REML and MOM in a Small Watershed on Loess Plateau

- Analysis on Spatial Variability of Soil Organic Carbon and Nitrogen Based on REML and MOM in a Small Watershed on Loess Plateau
- Bulletin of Soiland Water Conservation Vol. 33, Issue 4, Pages: 141-146(2014)
- 作者机构：
  
  1. 南京师范大学地理科学学院,江苏,南京,210023
  2. 西北农林科技大学水土保持研究所, 陕西杨凌,712100
  3. 中国科学院水土保持与生态环境研究中心, 陕西杨凌,712100
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2014.04.041
  CLC：
- Published：2014
- 稿件说明：
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FANG Xuan, AN Shao-shan, XUE Zhi-jing, et al. Analysis on Spatial Variability of Soil Organic Carbon and Nitrogen Based on REML and MOM in a Small Watershed on Loess Plateau[J]. Bulletin of Soiland Water Conservation, 2014, 33(4): 141-146.
DOI：

FANG Xuan, AN Shao-shan, XUE Zhi-jing, et al. Analysis on Spatial Variability of Soil Organic Carbon and Nitrogen Based on REML and MOM in a Small Watershed on Loess Plateau[J]. Bulletin of Soiland Water Conservation, 2014, 33(4): 141-146. DOI： 10.13961/j.cnki.stbctb.2014.04.041.

摘要

以黄土高原寺底沟小流域为研究对象

根据不同土地利用方式采集46个样点的土壤样品

通过地统计方法对土壤有机碳和全氮的空间变异特征进行了分析。采用受限最大似然法(REML)和矩法(MOM)两种方法分别对变异函数进行了估计

通过交叉检验选择克里金预测效果较好的变异函数进行地统计插值。(1) 与矩法(MOM)相比

在多数情况下受限最大似然法(REML)估计的变异函数进行克里金插值更加准确。(2) 土层深度对土壤全氮空间变异影响较小

对土壤有机碳影响较大

表层土壤有机碳含量及变异程度明显高于下层土壤。(3) 土地利用方式对土壤有机碳和全氮的空间分布有重要影响

灌木林和天然草地土壤有机碳和全氮水平最高

弃耕地其次

梯田、果园、人工草地最低

表明退耕还林对提高土壤碳氮水平有重要贡献。

Abstract

Based on geostatistics

spatial variability of soil organic carbon(SOC) and total nitrogen(TN) in Sidigou watershed on the Loess Plateau were analyzed. 46 sampling sites were collected in the watershed according to different land uses and different positions along the slope transect. The variogram was estimated by residual maximum likelihood(REML) and the method of moments(MOM). The Kriging method with the better variogram was selected by cross-validation method to conduct the geostatistics interpolation. The results showed that:(1) The variogram by REML is almostly more accurate for Kriging method than that by MOM.(2) Soil depth affected the spatial variation of SOC content more greatly than that of TN content. SOC content and its variation in surface soil were significantly higher than that in the lower soil layer.(3) The SOC and TN distribution was significantly affected by land use. SOC and TN content of shrubland and natural grassland was significantly higher than that of other land use types

and SOC and TN content for derelict land took the second place

then

it for derelict land

orchard and artificial grassland took the lowest level. This result indicated that grain for green project in small watershed of the Loess Plateau had an important contribution on the SOC and TN sequestration.

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