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Spatial and temporal variability of 0‐ to 5‐m soil–water storageat the watershed scale
Fu,ZH(Fu,Zihuan)1,2; Wang,YQ(Wang,Yunqiang)1,3; An,ZS(An,Zhisheng)1,3; Hu,W(Hu,Wei)4; Mostofa,KM.G(Mostofa,Khan M.G)2; Li,XZ(Li,Xuezhang)5; Liu,BX(Liu,Bingxia)6; Wang,Yunqiang
2018
Source PublicationHydrological Processes
Volume32Issue:16Pages:2557-2569
Subtype期刊论文
Other AbstractDynamic relationships among rainfall patterns, soil water distribution, and plant growth are crucial for sustainable conservation of soil and water resources in water‐limited ecosystems. Spatial and temporal variation in deep soil water content at a watershed scale have not yet been characterized adequately due to the lack of deep soil water data. Deep soil–water storage (SWS) up to a depth of 5 m (n = 73) was measured at 19 sampling occasions at the LaoYeManQu watershed on the Chinese Loess Plateau (CLP). At a depth of 0–1.5 m, the annual mean SWS was highly correlated with rain intensity, and the correlation decreased with depth, but within the layers at 1.5–5.0 m, the changes in SWS indicated a lag between precipitation and the replenishment of soil water. Geostatistical parameters of SWS were also highly dependent on depth, and the mean SWS presented similar spatial structures in two adjacent layers. Temporal stability of SWS as indicated by mean relative difference, standard deviation of the relative difference (SDRD), and mean absolute bias error (MABE) was significantly weaker at the shallow than at deeper layers. Soil separates and organic carbon content controlled the spatial pattern of SWS at the watershed scale. One representative location (Site 57) was identified to estimate the mean SWS in the 1‐ to 5‐m layer of the watershed. Semivariograms of the SDRD and MABE were best fitted by an isotropic spherical model, and their spatial distributions were depth‐dependent. Both temporal stability and spatial variability of SWS increased over depth. This study is helpful for deep SWS estimation and sustainable management of soil and water on the CLP, and for other similar regions around the world.
KeywordDeep Soil Depth‐dependency Geostatistics Loess Plateau Soil–water Dynamics Temporal Stability
DOI10.1002/hyp.13172
Indexed BySCI
Project Number2015KTZDNY01‐04 ; 41571130083 ; 41530854 ; 41471189
Language英语
Funding OrganizationCoordination Innovation Project onShaanxi Province Science and Technology ; Coordination Innovation Project onShaanxi Province Science and Technology ; National Natural Science Foundation ofChina ; National Natural Science Foundation ofChina ; Youth InnovationPromotion Association CAS ; Youth InnovationPromotion Association CAS
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Document Type期刊论文
Identifierhttp://ir.ieecas.cn/handle/361006/5362
Collection生态环境研究室
Corresponding AuthorWang,Yunqiang
Affiliation1.State Key Laboratory of Loess andQuaternary Geology, Institute of EarthEnvironment, Chinese Academy of Sciences,Xi'an 710061, China
2.Institute of the Surface‐Earth System ScienceResearch, Tianjin University, Tianjin 300072,China
3.Interdisciplinary Research Center of EarthScience Frontier, Beijing Normal University,Beijing 100875, China
4.The New Zealand Institute for Plant & FoodResearch Limited, Private Bag 4704,Christchurch 8140, New Zealand
5.Institute of Subtropical Agriculture, ChineseAcademy of Sciences, Key Laboratory forAgro‐ecological Processes in SubtropicalRegion, Changsha 410125, China
6.Institute of Genetics and DevelopmentalBiology, Chinese Academy of Sciences, KeyLaboratory of Agricultural Water Resources,Center for Agricultural Resources Research,Shijiazhuang 050021, China
Recommended Citation
GB/T 7714
Fu,ZH(Fu,Zihuan),Wang,YQ(Wang,Yunqiang),An,ZS(An,Zhisheng),等. Spatial and temporal variability of 0‐ to 5‐m soil–water storageat the watershed scale[J]. Hydrological Processes,2018,32(16):2557-2569.
APA Fu,ZH.,Wang,YQ.,An,ZS.,Hu,W.,Mostofa,KM.G.,...&Wang,Yunqiang.(2018).Spatial and temporal variability of 0‐ to 5‐m soil–water storageat the watershed scale.Hydrological Processes,32(16),2557-2569.
MLA Fu,ZH,et al."Spatial and temporal variability of 0‐ to 5‐m soil–water storageat the watershed scale".Hydrological Processes 32.16(2018):2557-2569.
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