Characterizing variations in soil particle-size distribution along a grass-desert shrub transition in the ordos plateau of Inner Mongolia, China
文献类型：EI期刊论文
| 作者 | Jin Z. ; Dong Y. S. ; Qi Y. C. ; Liu W. G. ; An Z. S. |
| 发表日期 | 2013 |
| 关键词 | Geologic models Climatology Fractal dimension Geomechanics Landforms Light transmission Soils Vegetation |
| 英文摘要 | The application of fractal geometry to describe soil degradation and dynamics is becoming a useful tool for better understanding of the performance of soil systems. In this study, four different land cover types, which represent a sequence of grass-desert shrub transition and a gradient of desertification, were selected, and soils at depths of 0-10, 10-20 and 20-40cm were sampled in the Ordos Plateau of Inner Mongolia, PR China. The fractal theory was used to analyse the soil particle-size distribution (PSD) and its variations. The results showed that (i) vegetation conversion and desertification significantly changed the soil PSD. During the desertification process, soil coarse fractions that ranged from 250 to 100m significantly increased, whereas fine fractions lower than 50m significantly decreased (p<0·01); (ii) fractal model of the accumulative volume particle-size distribution is appropriate, and fractal dimensions (Dm) of soil PSD significantly decreased along the sequence of grass-desert shrub transition; (iii) Dm is more sensitive to the desertification process, and therefore, we suggest Dm other than soil texture and soil organic carbon as a reliable parameter to reflect the soil environment change induced by desertification. 2011 John Wiley Sons, Ltd. |
| 出处 | Land Degradation and Development
 |
| 卷 | 24期:2页:141-146 |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/31288]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Jin Z.,Dong Y. S.,Qi Y. C.,et al. Characterizing variations in soil particle-size distribution along a grass-desert shrub transition in the ordos plateau of Inner Mongolia, China. 2013. |
入库方式： OAI收割
来源：地理科学与资源研究所
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