干旱区生态环境知识资源中心(Arid): Bivariate empirical mode decomposition of the spatial variation in the soil organic matter content: A case study from NW China

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DOI	10.1016/j.catena.2021.105572
	Bivariate empirical mode decomposition of the spatial variation in the soil organic matter content: A case study from NW China
	Zhang, Zipeng; Ding, Jianli; Zhu, Chuanmei; Chen, Xiangyue; Wang, Jingzhe; Han, Lijing; Ma, Xu; Xu, Dong
通讯作者	Ding, JL (corresponding author), Xinjiang Univ, Coll Resources & Environm Sci, Key Lab Smart City & Environm Modeling Higher Edu, Urumqi 830046, Peoples R China.
来源期刊	CATENA
ISSN	0341-8162
EISSN	1872-6887
出版年	2021
卷号	206
英文摘要	Soil organic matter (SOM) significantly affects soil quality, food security, and the global carbon cycle. Variations in the SOM content are controlled by many environmental factors and differ depending on the scale and region. The Mountain-Oasis-Desert System (MODS) in arid areas is limited by climate conditions and water and soil resources. Therefore, the effects of environmental factors on the SOM content may differ. This study aimed to characterize spatial patterns of the SOM content in a MODS in northwestern China and reveal the SOM variations at different scales and regions. First, we employed the random forest model to predict the SOM content and the uncertainty at the nodes of a 90 m grid. We then extracted scale- and region-dependent variations in the SOM content using bivariate empirical mode decomposition (BEMD). Data analysis, geostatistics, and a twodimensional fast Fourier transform were applied to analyze the SOM pattern and its correlations with environmental covariates at different scales. The results suggest that the variations in the SOM content were mainly concentrated at the large scale. The correlations between environmental factors and the SOM were scale- and region-specific, indicating complex interrelationships among topography, land use, salinization, soil erosion, and fertilization. At the intermediate-large spatial scale, topography characteristics and surface features were the major factors controlling the SOM content, whereas the climate had a larger effect on SOM than other factors at the large scale. Based on our results, BEMD has great potential to reveal SOM variations in the scale-region domain. BEMD can be used in environmental modeling in the future to gain insights into the variations in soil properties depending on environmental factors and anthropogenic activities.
英文关键词	Mountain-Oasis-Desert System Digital soil mapping Multi-scale analysis Fast Fourier transform Redundancy analysis
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000688449100079
WOS关键词	SCALE ; VARIABILITY ; GLOBALSOILMAP ; UNCERTAINTY ; CROPLANDS ; CYCLES ; CARBON ; MAP ; DRY
WOS类目	Geosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS研究方向	Geology ; Agriculture ; Water Resources
来源机构	兰州大学 ; 北京师范大学 ; 新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362794
作者单位	[Zhang, Zipeng; Ding, Jianli; Zhu, Chuanmei; Han, Lijing; Ma, Xu] Xinjiang Univ, Coll Resources & Environm Sci, Key Lab Smart City & Environm Modeling Higher Edu, Urumqi 830046, Peoples R China; [Zhang, Zipeng; Ding, Jianli; Zhu, Chuanmei; Han, Lijing; Ma, Xu] Xinjiang Univ, Key Lab Oasis Ecol, Urumqi 830046, Peoples R China; [Chen, Xiangyue] Lanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China; [Wang, Jingzhe] Shenzhen Univ, MNR Key Lab Geoenvironm Monitoring Great Bay Area, Shenzhen 518060, Peoples R China; [Wang, Jingzhe] Shenzhen Univ, Guangdong Key Lab Urban Informat, Shenzhen 518060, Peoples R China; [Wang, Jingzhe] Shenzhen Univ, Shenzhen Key Lab Spatial Smart Sensing & Serv, Shenzhen 518060, Peoples R China; [Xu, Dong] Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China; [Xu, Dong] Beijing Normal Univ, Fac Geog Sci, Inst Remote Sensing Sci & Engn, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Zipeng,Ding, Jianli,Zhu, Chuanmei,et al. Bivariate empirical mode decomposition of the spatial variation in the soil organic matter content: A case study from NW China[J]. 兰州大学, 北京师范大学, 新疆大学,2021,206.
APA	Zhang, Zipeng.,Ding, Jianli.,Zhu, Chuanmei.,Chen, Xiangyue.,Wang, Jingzhe.,...&Xu, Dong.(2021).Bivariate empirical mode decomposition of the spatial variation in the soil organic matter content: A case study from NW China.CATENA,206.
MLA	Zhang, Zipeng,et al."Bivariate empirical mode decomposition of the spatial variation in the soil organic matter content: A case study from NW China".CATENA 206(2021).