Spatial Estimation of Soil Total Nitrogen Using Cokriging with Predicted Soil Organic Matter Content

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	Spatial Estimation of Soil Total Nitrogen Using Cokriging with Predicted Soil Organic Matter Content
	Wu, Chunfa 1,3; Wu, Jiaping 2; Luo, Yongming3 ; Zhang, Limin 4; DeGloria, Stephen D.5
刊名	SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
	2009-09-01
卷号	73 期号:5 页码:1676-1681
关键词	Geostatistical Analysis Pseudo-crossvariograms Variability Management Field Interpolation Distributions Phosphorus Pollution Carbon
ISSN号	0361-5995
通讯作者	Wu, CF, Chinese Acad Sci, Inst Soil Sci, Key Lab Soil Environ & Pollut Remediat, Nanjing 210008, Peoples R China
产权排序	Chinese Acad Sci, Yantai Inst Coastal Zone Res Sustainable Dev;Zhejiang Univ, Dep Nat Resources & Environ;Chinese Acad Sci, Inst Soil Sci, Key Lab Soil Environ & Pollut Remediat;Haining Agr Extens Serv;Cornell Univ, Dep Crop & Soil Sci
文献子类	Article
英文摘要	Accurate measurement of soil total N (TN) content in agricultural fields is important to guide reasonable application of nitrogenous fertilizer. Estimation of soil TN content with limited in situ data at an acceptable level of accuracy is important because laboratory measurement of N is a time- and labor-consuming procedure. This study was conducted to evaluate cokriging of soil TN with predicted soil organic matter (SOM) content as auxiliary data. The SOM content was predicted by cokriging with a digital number (DN) of Band I of Landsat Enhanced Thematic Mapper (ETM) imagery. Soil TN content was estimated by using 88 soil samples for prediction and 43 soil samples for validation in a study area of 367 km(2) in Haining City, China. Field-measured soil TN content ranged from 0.47 to 2.48 g kg(-1), with a mean of 1.25 g kg(-1). Soil TN content of all 131 soil samples including samples for prediction and validation was highly correlated with measured (r = 0.81, p < 0.01) and predicted (r = 0.81,p < 0.01) SOM content in paddy fields. Then, the predicted SOM content was used as auxiliary variable for the prediction of soil TN content. By using the 43 samples for validation, we had a mean error (ME) of 0.03 g kg(-1) and a root mean square error (RMSE) of 0.31 g kg(-1) for kriging, and a mean error of 0.00 g kg(-1) and a root mean square error of 0.25 g kg(-1) for cokriging, respectively. Our results indicate cokriging with predicted SOM content data was superior to kriging. In addition, predicted data of the auxiliary variable have the potential to be useful for cokriging when the predicted auxiliary data have high prediction accuracy.; Accurate measurement of soil total N (TN) content in agricultural fields is important to guide reasonable application of nitrogenous fertilizer. Estimation of soil TN content with limited in situ data at an acceptable level of accuracy is important because laboratory measurement of N is a time- and labor-consuming procedure. This study was conducted to evaluate cokriging of soil TN with predicted soil organic matter (SOM) content as auxiliary data. The SOM content was predicted by cokriging with a digital number (DN) of Band I of Landsat Enhanced Thematic Mapper (ETM) imagery. Soil TN content was estimated by using 88 soil samples for prediction and 43 soil samples for validation in a study area of 367 km(2) in Haining City, China. Field-measured soil TN content ranged from 0.47 to 2.48 g kg(-1), with a mean of 1.25 g kg(-1). Soil TN content of all 131 soil samples including samples for prediction and validation was highly correlated with measured (r = 0.81, p < 0.01) and predicted (r = 0.81,p < 0.01) SOM content in paddy fields. Then, the predicted SOM content was used as auxiliary variable for the prediction of soil TN content. By using the 43 samples for validation, we had a mean error (ME) of 0.03 g kg(-1) and a root mean square error (RMSE) of 0.31 g kg(-1) for kriging, and a mean error of 0.00 g kg(-1) and a root mean square error of 0.25 g kg(-1) for cokriging, respectively. Our results indicate cokriging with predicted SOM content data was superior to kriging. In addition, predicted data of the auxiliary variable have the potential to be useful for cokriging when the predicted auxiliary data have high prediction accuracy.
学科主题	Soil Science
URL标识	查看原文
WOS关键词	GEOSTATISTICAL ANALYSIS ; PSEUDO-CROSSVARIOGRAMS ; VARIABILITY ; MANAGEMENT ; FIELD ; INTERPOLATION ; DISTRIBUTIONS ; PHOSPHORUS ; POLLUTION ; CARBON
WOS研究方向	Agriculture
语种	英语
WOS记录号	WOS:000269415000027
资助机构	Department of Science and Technology, Zhejiang Province, China [2006C22026]; Chinese Academy of Sciences Innovative Research International Partnership Project [CXTD-Z2005-4]; National Basic Research Priorities Program [2002CB410810]; China Scholarship Cou
公开日期	2011-07-05
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/3412]
专题	烟台海岸带研究所_滨海湿地实验室
作者单位	1.Chinese Acad Sci, Yantai Inst Coastal Zone Res Sustainable Dev, Yantai 264003, Peoples R China 2.Zhejiang Univ, Dep Nat Resources & Environ, Hangzhou 310029, Zhejiang, Peoples R China 3.Chinese Acad Sci, Inst Soil Sci, Key Lab Soil Environ & Pollut Remediat, Nanjing 210008, Peoples R China 4.Haining Agr Extens Serv, Haining 314400, Peoples R China 5.Cornell Univ, Dep Crop & Soil Sci, Ithaca, NY 14853 USA
推荐引用方式 GB/T 7714	Wu, Chunfa,Wu, Jiaping,Luo, Yongming,et al. Spatial Estimation of Soil Total Nitrogen Using Cokriging with Predicted Soil Organic Matter Content[J]. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,2009,73(5):1676-1681.
APA	Wu, Chunfa,Wu, Jiaping,Luo, Yongming,Zhang, Limin,&DeGloria, Stephen D..(2009).Spatial Estimation of Soil Total Nitrogen Using Cokriging with Predicted Soil Organic Matter Content.SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,73(5),1676-1681.
MLA	Wu, Chunfa,et al."Spatial Estimation of Soil Total Nitrogen Using Cokriging with Predicted Soil Organic Matter Content".SOIL SCIENCE SOCIETY OF AMERICA JOURNAL 73.5(2009):1676-1681.