不同样本数量下土壤属性空间预测比较

doi:10.3864/j.issn.0578-1752.2013.22.009

中国农业科学 ›› 2013, Vol. 46 ›› Issue (22): 4716-4725.doi: 10.3864/j.issn.0578-1752.2013.22.009

• 土壤肥料·节水灌溉·农业生态环境 • 上一篇下一篇

不同样本数量下土壤属性空间预测比较

柴旭荣1, 黄元仿2

1.山西师范大学城市与环境科学学院，山西临汾 041000
2.中国农业大学资源与环境学院，北京 100094

收稿日期:2012-06-14 出版日期:2013-11-15 发布日期:2013-06-07
通讯作者: 通信作者黄元仿，Tel：010-62732963；E-mail：yfhuang@china.com
作者简介:柴旭荣，Tel：0357-2051200；E-mail：chaixurong@163.com
基金资助:
山西省青年科学研究基金项目（2010021028-1）

Comparison of Spatial Prediction of Soil Properties Under Different Sampling Sizes

CHAI Xu-Rong-1, HUANG Yuan-Fang-2

1.College of Urban and Environmental Science, Shanxi Normal University, Linfen 041000, Shanxi
2.College of Resources and Environmental Science, China Agricultural University, Beijing 100094

Received:2012-06-14 Online:2013-11-15 Published:2013-06-07

摘要/Abstract

摘要： 【目的】通过不同样本数量情形下土壤属性空间预测精度的对比，探讨样本数对预测精度的影响。【方法】以土壤有机质、土壤质量含水量、土壤速效钾和土壤有效锰4个土壤属性作为研究对象，采用矩量法（MoM）和有限最大似然法（REML）两种变异函数计算方法，对比分析在不同样本数情形下各土壤属性空间预测精度。【结果】（1）不论是利用MoM法还是REML法计算变异函数，样本点数从50增加到70，各土壤变量预测精度都有了明显提高；样本数从70逐步增加到150过程中，预测精度没有明显提高；（2）在不同样本数情形下，REML法相对于MoM法的预测精度的提高率具有明显的变化，而且在有些情况下，REML法的预测精度比MoM低，而且对于不同土壤变量，表现结果也不相同。【结论】样本数对土壤空间预测准确性具有显著影响，在本研究区域尺度下，当样本数小于70个时，无论用哪种变异函数计算方法进行预测，预测结果的可信度都比较低。

关键词: 样本数 , 变异函数 , 矩量法 , 有限最大似然法

Abstract: 【Objective】The objective of this study was to investigate the impact of the sample size on the accuracy of the spatial prediction of soil properties.【Method】Soil organic matter(SOM), mass water content of soil, soil available potassium and available manganese were used as research objects, the methods of moments (MoM) and the residual maximum likelihood (REML) were used to compute the variogram of soil properties. Predictions based on the MoM and REML variograms were compared under different sampling sizes.【Result】Whether the MoM or REML was used, there was a significantly improved prediction accuracy for each soil variables with the increase of the sampling size from 50 to 70. As the number of samples gradually increased from 70 to 150, the prediction accuracy was not significantly improved. Predictions based on REML variograms were not more accurate than those from MoM variograms with the inreasion of sampling size from 50 to 150.【Conclusion】The number of samples has a significant impact on the accuracy of prediction of soil properties. When the number of samples is less than 70, the predictions are not reliable regardless of which variogram is used.

Key words: sampling sizes , variogram , method of moments , residual maximum likelihood

柴旭荣1, 黄元仿2. 不同样本数量下土壤属性空间预测比较[J]. 中国农业科学, 2013, 46(22): 4716-4725.

CHAI Xu-Rong-1, HUANG Yuan-Fang-2. Comparison of Spatial Prediction of Soil Properties Under Different Sampling Sizes[J]. Scientia Agricultura Sinica, 2013, 46(22): 4716-4725.

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参考文献

[1]史文娇, 岳天祥, 石晓丽,宋伟．土壤连续属性空间插值方法及其精度的研究进展．自然资源学报, 2012, 27(1): 163-175．

Shi W J, Yue T X, Shi X L, Song W. Research progress in soil property interpolators and their accuracy. Journal of Nature Resources, 2012, 27(1): 163-175. (in Chinese )

[2]赵其国．土壤科学发展的战略思考．土壤, 2009, 41 (5): 681-688．

Zhao Q G. Strategic Thinking of Soil Science in China. Soils, 2009, 41(5): 681-688. (in Chinese )

[3]史舟，Lark R M．土壤学的新分支——计量土壤学的形成与发展．土壤学报, 2007, 44(5):919-624．

Shi Z, Lark R M. A new broach of soil science—pedometrics, its origin and development. Acta Pedologica Sinica, 2007, 44(5): 919-624. (in Chinese )

[4]史文娇, 刘纪远, 杜正平, 岳天祥．基于地学信息的土壤属性高精度曲面建模．地理学报, 2011, 66(11): 1576-1581．

Shi W J, Liu J Y, Du Z P, Yue T X．High accuracy surface modeling of soil properties based on geographic information．Acta Geoggrphica Sinica, 2011, 66(11): 1576-1581. (in Chinese )

[5]雷宏军, 李保国, 白由路, 黄元仿, 吕贻忠, 李贵桐, 李科江．集约农作条件下土壤有机碳动态模拟及其在黄淮海平原区的应用．中国农业科学, 2005, 38(5): 956-964．

Lei H J, Li B G, Bai Y L, Huang Y F, Lü Y Z, Li G T, Li K J. Modeling and applications of soil organic matter in intensive cropping in china’s huang-huai-hai plain．Scientia Agricultura Sinica, 2005, 38(5): 956-964．(in Chinese )

[6]Jourenl A G, Huijbregts C J. Mining Geostatistics. London： Academic Press, 1978.

[7]Webster R, Oliver M. Geostatistics for Environmental Scientists. Chichester: John Wiley and Sons, Ltd, 2001.

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

[9]张仁铎. 空间变异理论及应用. 北京: 科学出版社, 2005.

Zhang R D. Geostatistics in Environmental Science and Its Opplication. Beijing: Science Press, 2005. (in Chinese )

[10]王政权. 地统计学及在生态学中的应用. 北京: 科学出版社, 1999.

Wang Z Q. Geostatistics and Application in Ecological Science. Beijing: Science Press, 1999. (in Chinese)

[11]Goovaerts P. Geostatistics for Natural Resources Evaluation. New York: Oxford University Press, 1997.

[12]Pardo-Iguzquiza E. MLREML: A computer program for the inference of spatial covariance parameters by maximum likelihood and restricted maximum likelihood. Computers & Geosciences, 1997, 23(2): 153-162.

[13]Pardo-Iguzquiza E. MLREML4: A program for the inference of the power variogram model by maximum likelihood and restricted maximum likelihood. Computers & Geosciences, 1998, 24(6): 537-543.

[14]Lark R M, Cullis B R, Welham S J. On spatial prediction of soil properties in the presence of a spatial trend: the empirical best linear unbiased predictor (E-BLUP) with REML. European Journal of Soil Science, 2006, 57(6): 787-799.

[15]Payne R W. The Guide to GenStat Release 9 — Part 2: Statistics. Oxford: VSN International, 2006.

[16]Minasny B, McBratney A B. Spatial prediction of soil properties using EBLUP with the Matern covariance function. Geoderma, 2007, 140(4): 324-336.

[17]Minasny B, McBratney A B. The Matern function as a general model for soil variograms. Geoderma, 2005, 128(3/4): 192-207.

[18]Kerry R, Oliver M A. Determining the effect of asymmetric data on the variogram. I. Underlying asymmetry. Computers & Geosciences, 2007, 33(10): 1212-1232.

不同样本数量下土壤属性空间预测比较

Comparison of Spatial Prediction of Soil Properties Under Different Sampling Sizes

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