中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Mesoscale spatial variability of soil-water content in an alpine meadow on the northern Tibetan Plateau

文献类型:期刊论文

作者Zhu, Xuchao2; Shao, Mingan1,3; Liang, Yin2; Tian, Zhiyuan2; Wang, Xin1,2; Qu, Lili1,2
刊名HYDROLOGICAL PROCESSES
出版日期2019-09-15
卷号33期号:19页码:2523-2534
关键词geostatistics mesoscale alpine meadow soil-water content spatial structure variation spatial variability
ISSN号0885-6087
DOI10.1002/hyp.13479
通讯作者Shao, Mingan(shaoma@igsnrr.ac.cn) ; Liang, Yin(yliang@issas.ac.cn)
英文摘要Soil water is an important limiting factor for restoring alpine meadows on the northern Tibetan Plateau. Field studies of soil-water content (SWC), however, are rare due to the harsh environment, especially in a mesoscale alpine-meadow ecosystem. The objective of this study was to assess the spatial variability of SWC and the temporal variation of the spatial variability in a typical alpine meadow using a geostatistical approach. SWC was measured using a neutron probe to a depth of 50 cm at 113 locations on 22 sampling occasions in a 33.5-hm(2) alpine meadow during the 2015 and 2016 growing seasons. Mean SWC in the study plot for the two growing seasons was 18.7, 14.0, 13.9, 14.3, and 14.8% for depths of 10, 20, 30, 40, and 50 cm, respectively, and SWC was significantly larger at 10 cm than at other depths. SWC was negatively correlated with its spatial variability, and the spatial variability was higher when SWC was lower. Thirty-three sampling locations in this study plot met the requirement of accuracy of the central limit theorem. A Gaussian model was the best fit for SWC semivariance at depths of 10, 20, and 30 cm, and the spatial structural ratio was between 0.997 and 1, indicating a strong spatial dependence of SWC. The sill and range fluctuated temporally, and the nugget and spatial structural ratio did not generally vary with time. The sill was significantly positively correlated with SWC and was initially stable and then tend to increase with SWC. The nugget, range, and spatial structure ratio, however, were not correlated with SWC. These results contribute to our understanding of SWC spatial distribution and variation in alpine meadows and provide basic empirical SWC data for mesoscale model simulations, optimizing sampling strategies and managing meadows on the Tibetan Plateau.
WOS关键词LOESS PLATEAU ; TEMPORAL STABILITY ; MOISTURE VARIABILITY ; ORGANIC-CARBON ; STORAGE ; CHINA ; PERSISTENCE ; SIMULATION ; PREDICTION ; VEGETATION
资助项目Institute of Soil Science, CAS[ISSASIP1617] ; National Natural Science Foundation of China[41807019] ; Natural Science Foundation of Jiangsu Province, China[BK20181109] ; National Key Research and Development Program of China[2018YFC1801801]
WOS研究方向Water Resources
语种英语
WOS记录号WOS:000479611500001
出版者WILEY
资助机构Institute of Soil Science, CAS ; National Natural Science Foundation of China ; Natural Science Foundation of Jiangsu Province, China ; National Key Research and Development Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/69010]  
专题中国科学院地理科学与资源研究所
通讯作者Shao, Mingan; Liang, Yin
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, 71 Beijing East Rd, Nanjing 210008, Jiangsu, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, 11A Datun Rd, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Zhu, Xuchao,Shao, Mingan,Liang, Yin,et al. Mesoscale spatial variability of soil-water content in an alpine meadow on the northern Tibetan Plateau[J]. HYDROLOGICAL PROCESSES,2019,33(19):2523-2534.
APA Zhu, Xuchao,Shao, Mingan,Liang, Yin,Tian, Zhiyuan,Wang, Xin,&Qu, Lili.(2019).Mesoscale spatial variability of soil-water content in an alpine meadow on the northern Tibetan Plateau.HYDROLOGICAL PROCESSES,33(19),2523-2534.
MLA Zhu, Xuchao,et al."Mesoscale spatial variability of soil-water content in an alpine meadow on the northern Tibetan Plateau".HYDROLOGICAL PROCESSES 33.19(2019):2523-2534.

入库方式: OAI收割

来源:地理科学与资源研究所

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