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Selection of Optimal Auxiliary Soil Nutrient Variables for Cokriging Interpolation
- Source :
- PLoS ONE, Vol 9, Iss 6, p e99695 (2014), PLoS ONE
- Publication Year :
- 2014
- Publisher :
- Public Library of Science (PLoS), 2014.
-
Abstract
- In order to explore the selection of the best auxiliary variables (BAVs) when using the Cokriging method for soil attribute interpolation, this paper investigated the selection of BAVs from terrain parameters, soil trace elements, and soil nutrient attributes when applying Cokriging interpolation to soil nutrients (organic matter, total N, available P, and available K). In total, 670 soil samples were collected in Fuyang, and the nutrient and trace element attributes of the soil samples were determined. Based on the spatial autocorrelation of soil attributes, the Digital Elevation Model (DEM) data for Fuyang was combined to explore the coordinate relationship among terrain parameters, trace elements, and soil nutrient attributes. Variables with a high correlation to soil nutrient attributes were selected as BAVs for Cokriging interpolation of soil nutrients, and variables with poor correlation were selected as poor auxiliary variables (PAVs). The results of Cokriging interpolations using BAVs and PAVs were then compared. The results indicated that Cokriging interpolation with BAVs yielded more accurate results than Cokriging interpolation with PAVs (the mean absolute error of BAV interpolation results for organic matter, total N, available P, and available K were 0.020, 0.002, 7.616, and 12.4702, respectively, and the mean absolute error of PAV interpolation results were 0.052, 0.037, 15.619, and 0.037, respectively). The results indicated that Cokriging interpolation with BAVs can significantly improve the accuracy of Cokriging interpolation for soil nutrient attributes. This study provides meaningful guidance and reference for the selection of auxiliary parameters for the application of Cokriging interpolation to soil nutrient attributes.
- Subjects :
- Environmental Impacts
Computer and Information Sciences
Topography
Soil test
Landform History
Soil Science
lcsh:Medicine
Soil science
Terrain
Economic Geography
Soil
Agricultural Production
Nutrient
Geoinformatics
Organic matter
lcsh:Science
Digital elevation model
Spatial analysis
Mathematics
chemistry.chemical_classification
Landforms
Multidisciplinary
Geography
Ecology and Environmental Sciences
lcsh:R
Geographical Hydrology
Biology and Life Sciences
Agriculture
Geomorphology
Agricultural Methods
Organic Farming
Landform Dynamics
Physical Geography
chemistry
Agricultural soil science
Earth Sciences
Surface Earth Movement
lcsh:Q
Research Article
Environmental Monitoring
Interpolation
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....4520a8651d770e516e2b6dce48bec21b