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Improving prediction accuracy of soil water storage through reducing sampling frequency

文献类型：期刊论文

作者Li, Xuezhang2,3; Shao, Ming'an1; Xu, Xianli2,3; Wang, Kelin2,3
刊名EUROPEAN JOURNAL OF AGRONOMY
出版日期2022-05-01
卷号136页码:10
关键词Sampling frequency Temporal stability Soil moisture prediction Transect scale The Loess Plateau
ISSN号1161-0301
DOI10.1016/j.eja.2022.126502
通讯作者Xu, Xianli(312300481@qq.com)
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.
WOS关键词TEMPORAL STABILITY ; TIME-STABILITY ; LOESS PLATEAU ; SPATIAL VARIABILITY ; MOISTURE ESTIMATION ; DESERT AREA ; LAND USES ; SURFACE ; FIELD ; HETEROGENEITY
资助项目National Natural Science Foundation of China[41977014] ; National Natural Science Foundation of China[41601223] ; West Light Foundation of the Chinese Academy of Sciences[292022000015] ; Opening Fund of State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau[A314021402-1805] ; Natural Science Foundation of Guangxi Prov-ince[2018GXNSFBA294010]
WOS研究方向Agriculture
语种英语
WOS记录号WOS:000791939800003
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; West Light Foundation of the Chinese Academy of Sciences ; Opening Fund of State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau ; Natural Science Foundation of Guangxi Prov-ince
源URL[http://ir.igsnrr.ac.cn/handle/311030/176360]  
专题中国科学院地理科学与资源研究所
通讯作者Xu, Xianli
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Guangxi Key Lab Karst Ecol Proc & Serv, Huanjiang 547100, Peoples R China
3.Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Huanjiang Observat & Res Stn Karst Ecosyst, Changsha 410125, Peoples R China
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]. EUROPEAN JOURNAL OF AGRONOMY,2022,136:10.
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,136,10.
MLA Li, Xuezhang,et al."Improving prediction accuracy of soil water storage through reducing sampling frequency".EUROPEAN JOURNAL OF AGRONOMY 136(2022):10.

入库方式： OAI收割

来源：地理科学与资源研究所

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