Exploring Scale-Specific Controls on Soil Water Content across a 500-Kilometer Transect Using Multivariate Empirical Mode Decomposition

doi:10.2136/vzj2018.05.0097

IEECAS OpenIR > 生态环境研究室

	Exploring Scale-Specific Controls on Soil Water Content across a 500-Kilometer Transect Using Multivariate Empirical Mode Decomposition
	Zhao, Yali 1,2,3,4; Wang, Yunqiang 1,2,5; Zhang, Xingchang 2,3,4; Wang, Li 3,4
通讯作者	Wang, Yunqiang(wangyq@ieecas.cn)
	2018-11-01
发表期刊	VADOSE ZONE JOURNAL
ISSN	1539-1663
卷号	17 期号:1 页码:12
摘要	Soil water content (SWC) varies both spatially and temporally and is highly controlled by various factors operating at different intensities and scales. In this study, we investigated the scale-specific controls of SWC along a 500-km transect using multivariate empirical mode decomposition (MEMD) at 42 sites. Soil water content and six environmental factors were divided into different intrinsic mode functions (IMFs) and residuals to represent different scales. Different values of IMFs for SWC and environmental factors were obtained throughout the whole profile and within five soil layers (0-1, 1-2, 2-3, 3-4, and 4-5 m). The largest scales (i.e., the scales that explain largest portion of variances) of SWC and environmental factors depended on the soil layer from which SWC was involved in MEMD analysis, and they were 272, 126, 134, 126, 117, and 121 km for soil layers from 0 to 1, 1 to 2, 2 to 3, 3 to 4, 4 to 5, and 0 to 5 m, respectively. The residuals accounted for a majority (33-78.1%) of the variance of the original data. At large scales (>250 km), precipitation and temperature were the controlling factors on SWC, whereas at moderate scales (65 km), elevation and sand were the factors determining SWC. In contrast, at all scales, clay content affected SWC distribution. The scale-specific prediction of SWC on the basis of IMFs and residuals contained more information on environmental factors than the results obtained at the measurement scale. Overall, SWC prediction from IMFs and their residuals were superior to those based on the original data. Using information obtained from MEMD could improve our understanding of the scale-specific characteristics of soil water and environmental factors across a long transect scale.
DOI	10.2136/vzj2018.05.0097
关键词[WOS]	CHINESE LOESS PLATEAU ; SPATIAL VARIABILITY ; VEGETATION RESTORATION ; TEMPORAL STABILITY ; HUMMOCKY LANDSCAPE ; DEPTH PERSISTENCE ; MOISTURE ; STORAGE ; PATTERNS ; REGION
收录类别	SCI ; SCI
语种	英语
资助项目	National Natural Science Foundation of China[41571130083] ; National Natural Science Foundation of China[41471189] ; National Natural Science Foundation of China[41530854] ; National Natural Science Foundation of China[41722106] ; Ten Thousand Talents Program for young, top-notch talent
WOS研究方向	Environmental Sciences & Ecology ; Agriculture ; Water Resources
项目资助者	National Natural Science Foundation of China ; Ten Thousand Talents Program for young, top-notch talent
WOS类目	Environmental Sciences ; Soil Science ; Water Resources
WOS记录号	WOS:000449231600001
出版者	SOIL SCI SOC AMER
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ieecas.cn/handle/361006/14635
专题	生态环境研究室
通讯作者	Wang, Yunqiang
作者单位	1.Chinese Acad Sci, State Key Lab Loess & Quaternary Geol, Inst Earth Enivronm, Xian 710061, Shaanxi, Peoples R China 2.Grad Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, State Key Lab Soil Eros & Dryland Farming Loess P, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China 4.Minist Water Resources, Yangling 712100, Shaanxi, Peoples R China 5.Beijing Normal Univ, Interdisciplinary Res Ctr Earth Sci Frontier, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Yali,Wang, Yunqiang,Zhang, Xingchang,et al. Exploring Scale-Specific Controls on Soil Water Content across a 500-Kilometer Transect Using Multivariate Empirical Mode Decomposition[J]. VADOSE ZONE JOURNAL,2018,17(1):12.
APA	Zhao, Yali,Wang, Yunqiang,Zhang, Xingchang,&Wang, Li.(2018).Exploring Scale-Specific Controls on Soil Water Content across a 500-Kilometer Transect Using Multivariate Empirical Mode Decomposition.VADOSE ZONE JOURNAL,17(1),12.
MLA	Zhao, Yali,et al."Exploring Scale-Specific Controls on Soil Water Content across a 500-Kilometer Transect Using Multivariate Empirical Mode Decomposition".VADOSE ZONE JOURNAL 17.1(2018):12.