中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multifractal characteristics and spatial variability of soil particle-size distribution in different land use patterns in a small catchment of the Three Gorges Reservoir Region, China

文献类型:期刊论文

作者Chen, Tai-li; Shi, Zhong-lin; Wen, An-bang; Yan, Dong-chun; Guo, Jin; Chen, Jia-cun; Liu, Yuan; Chen, Rui-yin
刊名JOURNAL OF MOUNTAIN SCIENCE
出版日期2021
卷号18期号:1页码:111-125
关键词Land use patterns Purple soil Multifractal characteristics Particle size distribution Geostatistics Spatial variability
ISSN号1672-6316
DOI10.1007/s11629-020-6112-5
英文摘要Characterizing soil particle-size distribution is a key measure towards soil property. The purpose of this study was to evaluate the multifractal characteristics of soil particle-size distribution among different land-use from a purple soil catchment and to generalize the spatial variation trend of multifractal parameters across the catchment. A total of 84 soil samples were collected from four kinds of land use patterns (dry land, orchard, paddy, and forest) in an agricultural catchment in the Three Gorges Reservoir Region, China. The multifractal analysis method was applied to quantitatively characterize the soil particle size distribution. Six soil particle size distribution (PSD) multifractal parameters (D(0), D(1), D(2), Delta alpha(q), Delta f[alpha(q)], alpha(0)) were computed. Additionally, a geostatistical analysis was employed to reveal the spatial differentiation and map the spatial distribution of these parameters. Evident multifractal characteristics were found. The trend of generalized dimension spectrum of four land use patterns was basically consistent with the range of 0.8 to 2.0. However, orchard showed the largest monotonic decline, while the forest demonstrated the smallest decrease. D(0) of the four land use patterns were ranked as: dry land < orchard < forest < paddy, the order of D(1) was: dry land < paddy < orchard < forest, D(2) presented a rand-size relationship as dry land < forest < paddy < orchard. Furthermore, all land-use patterns presented as Delta f[alpha(q)] < 0. The rand-size relationship of alpha(0) was same as D(0). The best-fitting model for D(0), D(1), D(2) and Delta f[alpha(q)] was spherical model, for Delta alpha(q) was gaussian model, and for alpha(0) was exponential model with structure variance ratio was 1.03%, 49.83%, 0.84%, 1.48%, 22.20% and 10.60%, respectively. The results showed that soil particles of each land use pattern were distributed unevenly. The multifractal parameters under different land use have significant differences, except for Delta alpha(q). Differences in the composition of soil particles lead to differences in the multifractal properties even though they belong to the same soil texture. Farming behavior may refine particles and enhance the heterogeneity of soil particle distribution. Our results provide an effective reference for quantifying the impact of human activities on soil system in the Three Gorges Reservoir region.
语种英语
WOS记录号WOS:000607413000008
源URL[http://ir.imde.ac.cn/handle/131551/57151]  
专题Journal of Mountain Science_Journal of Mountain Science-2021_Vol18 No.1
推荐引用方式
GB/T 7714
Chen, Tai-li,Shi, Zhong-lin,Wen, An-bang,et al. Multifractal characteristics and spatial variability of soil particle-size distribution in different land use patterns in a small catchment of the Three Gorges Reservoir Region, China[J]. JOURNAL OF MOUNTAIN SCIENCE,2021,18(1):111-125.
APA Chen, Tai-li.,Shi, Zhong-lin.,Wen, An-bang.,Yan, Dong-chun.,Guo, Jin.,...&Chen, Rui-yin.(2021).Multifractal characteristics and spatial variability of soil particle-size distribution in different land use patterns in a small catchment of the Three Gorges Reservoir Region, China.JOURNAL OF MOUNTAIN SCIENCE,18(1),111-125.
MLA Chen, Tai-li,et al."Multifractal characteristics and spatial variability of soil particle-size distribution in different land use patterns in a small catchment of the Three Gorges Reservoir Region, China".JOURNAL OF MOUNTAIN SCIENCE 18.1(2021):111-125.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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