Mapping Soil Organic Matter Using Topographic Attributes and Geostatistic Approaches in Toshan Area, Golestan Province, Iran

Document Type : Research Paper

Authors

1 PhD student of Soil Science, Gorgan University of Agricultural Sciences and Natural Resources

2 Professor of Soil Science, Department of Soil Science, Gorgan University of Agricultural Sciences and Natural Resources

3 Assistant Professor of Soil Science, Department of Soil Science, College of Agriculture, Ferdowsi University of Mashhad

Abstract

Spatial variability in soil properties is a natural phenomenon, and recognizing these changes is inevitable, particularly in agricultural areas, for detailed planning and management. Correct management of agricultural operation and maintenance of soil organic carbon (SOC) are important factors in sustainable agriculture. This study was conducted to predict spatial variability of SOC using topography attributes and kriging, inverse distance weighted (IDW), and co-kriging techniques in loess lands of Toshan area, Golestan Province. In order to perform a systematic randomized sampling, 135 soil samples were collected from a depth of 0-20 cm. The results showed that ordinary co-kriging method with topography wetness index (TWI) as an auxiliary variable had the least error compared to kriging and inverse distance weighting (IDW) method and was more accurate to estimate soil organic carbon due to high spatial correlation of SOC with TWI. Interpolation map of soil organic carbon from whole part of hillslope showed lower SOC concentrations with increasing elevation and slope gradient. Spatial correlation ratio of SOC was different in various slope positions and these patterns were closely related to the structure of topography.

Keywords

References

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Iranian Journal of Soil Research
Volume 28, Issue 2
October 2014
Pages 459-468

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