基于最大似然法与矩法的黄土高原小流域土壤碳氮空间变异分析

方炫; 安韶山; 薛志婧; 李壁成

doi:10.13961/j.cnki.stbctb.2014.04.041

您当前的位置：

首页 >

文章列表页 >

基于最大似然法与矩法的黄土高原小流域土壤碳氮空间变异分析

试验研究

- 基于最大似然法与矩法的黄土高原小流域土壤碳氮空间变异分析
- Analysis on Spatial Variability of Soil Organic Carbon and Nitrogen Based on REML and MOM in a Small Watershed on Loess Plateau
- 水土保持通报 2014年33卷第4期页码：141-146
- 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：
  
  江苏省教育厅高校自然科学项目"基于GIS的骆马湖生态安全预警系统及评价应用研究"(13KJB610015)
- DOI：10.13961/j.cnki.stbctb.2014.04.041
  中图分类号：
- 纸质出版：2014
- 稿件说明：
移动端阅览
方炫, 安韶山, 薛志婧, 等. 基于最大似然法与矩法的黄土高原小流域土壤碳氮空间变异分析[J]. 水土保持通报, 2014,33(4):141-146.

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.
方炫, 安韶山, 薛志婧, 等. 基于最大似然法与矩法的黄土高原小流域土壤碳氮空间变异分析[J]. 水土保持通报, 2014,33(4):141-146. DOI： 10.13961/j.cnki.stbctb.2014.04.041.

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.

关键词

Keywords

references

王军,傅伯杰,邱扬,等.黄土高原小流域土壤养分的空间异质性[J].生态学报,2002,22(8):1173-1178.

Shen Runping, Sun Bo, Zhao Qiguo. Spatial and temporal variability of N, P and K balances for agroecosystems in China[J].Pedoshere, 2005,15(3):347-355.

Fu Bojie, Wang Yafeng, Lu Yihe, et al. The effects of land-use combinations on soil erosion:A case study in the Loess Plateau of China[J].Progress in Physical Geography, 2009,33(6):793-804.

Zheng Fenli. Effect of vegetation changes on soil erosion on the Loess Plateau[J].Pedosphere, 2006,16(4):420-427.

程励励,文启孝,林心.内蒙古自治区土壤中有机碳、全氮和固定态铵的贮量[J].土壤.1994,26(5):248-252.

Wei Jianbing, Xiao Duning, Zhang Xingyi, et al. Spatial variability of soil organic carbon in relation to environmental factors of a typical small watershed in the black soil region, Northeast China[J]. Environmental Monitoring and Assessment, 2006,121(1/3):597-613.

Rossi R E, Mulls D J, Journel A G, et al. Geostatistical tools for modeling and interpreting ecological spatial dependence[J]. Ecological Monographs, 1992,62(2):277-314.

Van M M, Pannier J, Hofman G, et al. Spatial and temporal changes of soil C after establishment of a pasture on a long-term cultivated vertisol(Martinique)[J].Geoderma, 1996,94(1):43-58.

Wang Zongming, Zhang Bai, Song Kaisan, et al. Spatial variability of soil organic carbon under maize monoculture in the Songnen Plain, Northeast China[J].Pedosphere, 2010,20(1):80-89.

李元寿,张人禾,王根绪,等.青藏高原典型高寒草甸区土壤有机碳氮的变异特征[J].环境科学,2009,30(6):248-253.

Matheron G L.Variables Régionalisées et leur Estimation:Une Application de la Théorie de Fonctions Aléatoires aux Sciences de la Nature[M].Paris:Masson et Cie, 1965.

Kerry R, Oliver M A.Comparing sampling needs for variograms of soil properties computed by the method of moments and residual maximum likelihood[J].Geoderma, Pedometrics, 2007,140(4):383-396.

Webster R, Oliver M A. Sample adequately to estimate variograms of soil properties[J].Journal of Soil Science, 2007,43(1):177-192.

Lucas I F J, Frans J M, Wel V D. Accuracy assessment of satellite derived land cover data:A review[J].Potogammetric Engineering & Remote Sensing, 1994,60(4):410-432.

Fang Xuan, Xue Zhijing, Li Bicheng, et al. Soil organic carbon distribution in relation to land use and its storage in a small watershed of the Loess Plateau, China[J]. Catena, 2012,88(1):6-13.

Patterson H D, Thompson R. Recovery of interblock information when block sizes are unequal[J]. Biometrika, 1971,58(2):545-554.

Chai Xurong, Shen Chongyang, Yuan Xiaoyong, et al. Spatial prediction of soil organic matter in the presence of different external trends with REML-EBLUP[J]. Geoderma, 2008,148(2):159-166.

Lark R M, Cullis B R. Model-based analysis using REML for inference from systematically sampled data on soil[J].European Journal of Soil Science, 2004,55(4):799-813.

牛文杰,朱大培,陈其明.滑动邻域克里金插值法的改进[J].计算机辅助设计与图形学学报,2001,13(8):752-756.

Pardo I E. Inference of spatial indicator covariance parameters by maximum likelihood using MLREML[J].Computers and Geosciences, 1998,24(5):453-464.

Cambardella C A, Moorman T B, Novak J M, et al. Field-scale variability of soil properties in Central Iowa soils[J].Soil Sci.Soc. Am. J.,1994,58(5):1501-1511.

陈皓,章申.黄土地区氮磷流失的模拟研究[J].地理科学,1991,11(2):142-148.

Groenendijk F M, Condron L M, Rijkse W C. Effect of afforestation on organic carbon, nitrogen, and sulfur concentration in New Zealand hill country soils[J].Geoderma, 2002,108(1):91-100.

浏览量

1353

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

不同土地利用方式下土壤无机磷形态与酶活性空间变异特征

大理河流域地貌分形特征空间变异研究

基于GIS与地统计学土壤养分空间变异特征研究——以辽宁省凌源市6乡镇为例

3种典型河岸林土壤氮磷的空间分布格局及其影响因素

黄土高原王东沟小流域土壤表层全磷空间变异性