Pedosphere 26(5): 699--708, 2016
ISSN 1002-0160/CN 32-1315/P
©2016 Soil Science Society of China
Published by Elsevier B.V. and Science Press
| Mapping soil texture based on field soil moisture observations at a high temporal resolution in an oasis agricultural area |
YANG Ren-Min1,2, LIU Feng1, ZHANG Gan-Lin1 , ZHAO Yu-Guo1, LI De-Cheng1, YANG Jin-Ling1, YANG Fei1,2 and YANG Fan1,2 |
1State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China)
2University of Chinese Academy of Sciences, Beijing 100049 (China) |
| ABSTRACT |
| Due to the almost homogeneous topography in low relief areas, it is usually difficult to make accurate predictions of soil properties using topographic covariates. In this study, we examined how time series of field soil moisture observations can be used to estimate soil texture in an oasis agricultural area with low relief in the semi-arid region of northwest China. Time series of field-observed soil moisture variations were recorded for 132 h beginning at the end of an irrigation event during which the surface soil was saturated. Spatial correlation between two time-adjacent soil moisture conditions was used to select the factors for fuzzy c-means clustering. In each of the ten generated clusters, soil texture of the soil sample with the maximum fuzzy membership value was taken as the cluster centroid. Finally, a linearly weighted average was used to predict soil texture from the centroids. The results showed that soil moisture increased with the increase of clay and silt contents, but decreased with the increase of sand content. The spatial patterns of soil moisture changed during the entire drying phase. We assumed that these changes were mainly caused by spatial heterogeneity of soil texture. A total of 64 independent samples were used to evaluate the prediction accuracy. The root mean square error (RMSE) values of clay, silt and sand were 1.63, 2.81 and 3.71, respectively. The mean relative error (RE) values were 9.57% for clay, 3.77% for silt and 12.83% for sand. It could be concluded that the method used in this study was effective for soil texture mapping in the low-relief oasis agricultural area and could be applicable in other similar irrigation agricultural areas used in this study. |
| Key Words: digital soil mapping, fuzzy -means clustering, low relief, particle-size distribution, semi-arid region, water content |
| Citation: Yang, R. M., Liu, F., Zhang, G. L., Zhao, Y. G., Li, D. C., Yang, J. L., Yang, F. and Yang, F. 2016. Mapping soil texture based on field soil moisture observations at a high temporal resolution in an oasis agricultural area. Pedosphere. 26(5): 699-708. |
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