干旱区生态环境知识资源中心(Arid): Improving prediction accuracy of soil water storage through reducing sampling frequency

Arid

DOI	10.1016/j.eja.2022.126502
	Improving prediction accuracy of soil water storage through reducing sampling frequency
	Li, Xuezhang; Shao, Ming'an; Xu, Xianli; Wang, Kelin
通讯作者	Xu, XL
来源期刊	EUROPEAN JOURNAL OF AGRONOMY
ISSN	1161-0301
EISSN	1873-7331
出版年	2022
卷号	136
英文摘要	Knowledge of spatiotemporal dynamics of soil water storage (SWS) is essential for hydrological modeling and vegetation restoration in semi-arid areas. However, characterizing the temporal stability of SWS at a regional scale requires time-consuming and labor-intensive manual sampling. Moreover, the influence of soil depth on temporal stability of SWS is not systematic. This study aimed to investigate the influences of sampling frequency and soil depth on SWS and SWS temporal stability. We measured soil moisture at 20-cm intervals in the soil profiles to a depth of 3 m using a neutron probe at 135 locations along a 1340-m long transect on 14 dates from 2012 to 2013. Results showed that sampling frequency did not influence the mean SWS (P < 0.05), while sampling frequency significantly affected temporal stability characteristics including Spearman's rank correlation coefficient (r(s)), standard deviation of mean relative difference (SDRD), the number of locations with SDRD < 5%, and the representative locations. Temporal stability of SWS increased with the increasing soil thickness and depth, which increases the possibility of the number of representative locations in deep soil. Although the mean SWSs of all soil depths can be predicted accurately at each sampling frequency, the prediction accuracy improved when sampling frequency was reducing. The values of R-2 ranged from 0.769 to 0.978 at 15-day sampling frequency, and from 0.987 to 0.998 at 45-day sampling frequency. Soil moisture stability may be more important than the soil water regime during prediction of soil moisture. These findings can provide guidelines for optimizing soil moisture sampling strategies and benefit management of water resources in semiarid watershed.
英文关键词	Sampling frequency Temporal stability Soil moisture prediction Transect scale The Loess Plateau
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000791939800003
WOS关键词	TEMPORAL STABILITY ; TIME-STABILITY ; LOESS PLATEAU ; SPATIAL VARIABILITY ; MOISTURE ESTIMATION ; DESERT AREA ; LAND USES ; SURFACE ; FIELD ; HETEROGENEITY
WOS类目	Agronomy
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/392552
推荐引用方式 GB/T 7714	Li, Xuezhang,Shao, Ming'an,Xu, Xianli,et al. Improving prediction accuracy of soil water storage through reducing sampling frequency[J],2022,136.
APA	Li, Xuezhang,Shao, Ming'an,Xu, Xianli,&Wang, Kelin.(2022).Improving prediction accuracy of soil water storage through reducing sampling frequency.EUROPEAN JOURNAL OF AGRONOMY,136.
MLA	Li, Xuezhang,et al."Improving prediction accuracy of soil water storage through reducing sampling frequency".EUROPEAN JOURNAL OF AGRONOMY 136(2022).