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Spatial simulation of soil-water content in dry and wet conditions in a hectometer-scale degraded alpine meadow
Zhu, Xu-Chao1,2; Cao, Rui-Xue1,3; Shao, Ming-An1,3
2019-02-15
Source PublicationLAND DEGRADATION & DEVELOPMENT
ISSN1085-3278
Volume30Issue:3Pages:278-289
Corresponding AuthorShao, Ming-An(shaoma@igsnrr.ac.cn)
AbstractSoil-water content (SWC) is a key factor in restoring degraded vegetation in alpine meadow ecosystems, but it has rarely been spatially simulated on a hectometer scale. We simulated SWC for typical dry and wet days in an alpine meadow using multivariate linear regression and autoregressive state-space equations based on SWC and other soil, terrain, and vegetation parameters to evaluate the efficiency of these two methods in dry and wet soil-moisture conditions. SWC measured on a typical dry day (SWC-D) and a wet day (SWC-W) increased and decreased with depth, respectively, and SWC-D was similar to SWC-W at a depth of 50 cm. Both SWC-D and SWC-W were significantly correlated with soil bulk density (BD), capillary porosity, silt content (Silt), gravel and stone content (GSC), pH, and organic carbon density (OCD), and both SWC-D and SWC-W were significantly auto-correlated and cross-correlated with BD, Silt, GSC, pH, and OCD at more than one lag distance. Multivariate linear regression using three variables in both dry and wet conditions had the highest accuracy, and the accuracy was generally higher for dry conditions than it was for wet conditions. The bivariate state-space model was the most accurate for both dry and wet soil conditions, but the expression variables were totally different, with pH and OCD for dry day and BD and Silt for wet day. The conditions of soil moisture should thus be considered when choosing variables with which to simulate SWC, instead of only considering the relationships between SWC and other variables.
Keywordalpine meadow soil-moisture conditions soil-water content spatial simulation state-space equation
DOI10.1002/ldr.3222
WOS KeywordSTATE-SPACE APPROACH ; LOESS PLATEAU ; TIBETAN PLATEAU ; HYDRAULIC-PROPERTIES ; PHYSICAL-PROPERTIES ; ORGANIC-CARBON ; MOISTURE ; CHINA ; DEGRADATION ; CATCHMENT
Indexed BySCI
Language英语
Funding ProjectInnovation Program of Institute of Soil Science, CAS[ISSASIP1617] ; National Natural Science Foundation of China[41807019] ; Natural Science Foundation of Jiangsu Province[BK20181109] ; Youth Innovation Research Team Project[LENOM2016Q0001]
Funding OrganizationInnovation Program of Institute of Soil Science, CAS ; National Natural Science Foundation of China ; Natural Science Foundation of Jiangsu Province ; Youth Innovation Research Team Project
WOS Research AreaEnvironmental Sciences & Ecology ; Agriculture
WOS SubjectEnvironmental Sciences ; Soil Science
WOS IDWOS:000457471200004
PublisherWILEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/49888
Collection中国科学院地理科学与资源研究所
Corresponding AuthorShao, Ming-An
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, 11A,Datun Rd, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Jiangsu, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhu, Xu-Chao,Cao, Rui-Xue,Shao, Ming-An. Spatial simulation of soil-water content in dry and wet conditions in a hectometer-scale degraded alpine meadow[J]. LAND DEGRADATION & DEVELOPMENT,2019,30(3):278-289.
APA Zhu, Xu-Chao,Cao, Rui-Xue,&Shao, Ming-An.(2019).Spatial simulation of soil-water content in dry and wet conditions in a hectometer-scale degraded alpine meadow.LAND DEGRADATION & DEVELOPMENT,30(3),278-289.
MLA Zhu, Xu-Chao,et al."Spatial simulation of soil-water content in dry and wet conditions in a hectometer-scale degraded alpine meadow".LAND DEGRADATION & DEVELOPMENT 30.3(2019):278-289.
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