Scale effects of spatial variations in SOM and STN in semi-arid regions: A case study of Yan'an

WANG Peng; ZHAO Jun; LIU Tuo; ZHOU Yi-Fan; WEI Jin-Ping; WANG Lei

doi:10.11720/wtyht.2022.1404

2022 Vol. 46, No. 4

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Article navigation > Geophysical and Geochemical Exploration > 2022 > 46(4): 1011-1020

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WANG Peng, ZHAO Jun, LIU Tuo, ZHOU Yi-Fan, WEI Jin-Ping, WANG Lei. 2022. Scale effects of spatial variations in SOM and STN in semi-arid regions: A case study of Yan'an. Geophysical and Geochemical Exploration, 46(4): 1011-1020. doi: 10.11720/wtyht.2022.1404

Citation:

WANG Peng, ZHAO Jun, LIU Tuo, ZHOU Yi-Fan, WEI Jin-Ping, WANG Lei. 2022. Scale effects of spatial variations in SOM and STN in semi-arid regions: A case study of Yan'an. Geophysical and Geochemical Exploration, 46(4): 1011-1020. doi: 10.11720/wtyht.2022.1404

Scale effects of spatial variations in SOM and STN in semi-arid regions: A case study of Yan'an

1. Xi'an Center of China Geological Survey Northwest China Center for Geoscience Innovation,Xi'an 710054,China；
2. Xi'an Institute of Prespecting and Mapping,Xi'an 710059,China

Received Date: 20 July 2021

Revised Date: 20 August 2022

Publish Date: 17 August 2022

Abstract

Abstract
Taking high-density sampling data as a dataset, the sampling spatial distribution scenarios on different scales were simulated through resampling analysis. Spatial analysis methods, such as Moran's I index, semi-variance function value, and fractal dimension FD, were used to explore the scale effects of spatial variations in soil organic matter (SOM) and soil total nitrogen (STN) and to analyze the conversion of influencing factors between different scales. The results are as follows. With an increase in scale, the spatial agglomeration decreased, and the spatial variation of SOM and STN in general increased first and then tended to be stable. By contrast, the random variation decreased gradually and the structural variation increased first and then decreased as the scales increased. The spatial variation generated on small scales consisted of a large proportion of random variation and a small proportion of structural variation, while the opposite is true on large scales. Different influencing factors had different distinguishing degrees for the spatial variations in SOM and STN. Their distinguishing degrees were in the order of height
- sampling scale /
- spatial variation /
- fractal dimension /
- semi-variance function /
- SOM /
- STN /
- semi-arid regions

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References

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