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Scale-Location Dependence Relationship between Soil Organic Matter and Environmental Factors by Anisotropy Analysis and Multiple Wavelet Coherence

文献类型： 外文期刊

作者： Gou, Yuxuan 1 ; Liu, Dong 1 ; Liu, Xiangjun 1 ; Zhuo, Zhiqing 2 ; Shen, Chongyang 1 ; Liu, Yunjia 1 ; Cao, Meng 3 ; Huang, Yuangfang 1 ;

作者机构： 1.China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China

2.Zhejiang Acad Agr Sci, Inst Digital Agr, Hangzhou 310021, Peoples R China

3.China Construct First Grp Corp Ltd, Beijing 100161, Peoples R China

关键词： soil organic matter; anisotropy analysis; multiple wavelet coherence; multiple environmental factors

期刊名称：SUSTAINABILITY （ 影响因子：3.889； 五年影响因子：4.089 ）

ISSN：

年卷期： 2022 年 14 卷 19 期

页码：

收录情况： SCI

摘要： Soil organic matter (SOM) and environmental factors have been shown to have a scale-location dependence relationship. However, few studies have considered the anisotropy, and the scale-location dependence relationship may not be fully characterized. In this study, transects with dominant directions of SOM variability in the dryland farming regions of Songliao Plain, China were extracted by anisotropy analysis. The scale-location specific multivariate relationships between SOM and environmental factors along the two transects were examined using multiple wavelet coherence. Results indicated that the scale and location-specific variations in SOM and environmental factors were direction-specific. The major direction with the most significant SOM variations was 56 degrees east by north, while the minor direction was perpendicular to the major direction. The strongest single factor for explaining SOM variations differed between two dominant directions, sand along the major direction (average wavelet coherence (AWC) = 0.57, percentage area of significant coherence (PASC) = 40.32% at all scales) and bulk density (BD) along the minor direction (AWC = 0.66, PASC = 50.16% at all scales). The combination of mean annual temperature (MAT) and BD was the best to explain SOM variations along the major direction (AWC = 0.78, PASC = 46.23% at all scales). A two-factor combination is adequate to explain SOM variability along the major direction, whereas a single factor is sufficient for the explanation along the minor direction. More factors did not evidently increase or even decrease the percentage of scale-location domains where SOM variations were significantly explained. This work has important implications for developing future sampling strategies and preparing detailed digital soil maps.

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