半干旱区有机质与全氮空间变异的尺度效应特征——以延安市为例

doi:10.11720/wtyht.2022.1404

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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<factors such as soil type, vegetation index, annual average temperature, and humidity<precipitation. The influencing factors of the spatial variations in SOM and STN had scale effects. Specifically, with an increase in scale, the random variation caused by small-scale factors decreased gradually, while the structural variation caused by large-scale factors increased first and then weakened until the large-scale factors were transformed into relatively small-scale factors. The coordination mechanism of the effects of each factor on the SOM and STN contents was quite different between different scales, causing the random and structural variations to fluctuate between different scales. As a result, the spatial variations showed the law of decreasing first and then tending to stabilize.

Key words： sampling scale spatial variation fractal dimension semi-variance function SOM STN semi-arid regions

Received: 20 July 2021 Published: 17 August 2022

ZTFLH:

P632

Corresponding Authors: ZHAO Jun E-mail: 331559202@qq.com;28611635@qq.com

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

Cite this article:

Peng WANG,Jun ZHAO,Tuo LIU, et al. Scale effects of spatial variations in SOM and STN in semi-arid regions: A case study of Yan'an[J]. Geophysical and Geochemical Exploration, 2022, 46(4): 1011-1020.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2022.1404 OR https://www.wutanyuhuatan.com/EN/Y2022/V46/I4/1011

Location of the study area

Relationship of different spacing after resampling analysis

Sampling distribution at different scales

Scatter diagram of variation mean value(a) and codfficients(b) at different scales

Scatter diagramof Moran’s I at different scales

Semivariogram heterogeneity analysis of SOM and STN

Semi-variogram and fractal dimension of SOM and STN at different scales

Scatter diagram of Nugget-Sill ratio(a) and fractal dimension(b) of SOM and STN at different scales

Spatial distribution of SOM and STN contentsat S-0、S-5、S-10 scales

Differentiation of SOM and STN content by influencing factors

Statistical significance of SOM and STN at different scales and different levels of influencing factors

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