中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Regional spatial pattern of deep soil water content and its influencing factors

文献类型:SCI/SSCI论文

作者Wang Y. Q. ; Shao M. A. ; Liu Z. P. ; Warrington D. N.
发表日期2012
关键词spatial variability land-use management geostatistics multiple linear regression residual maximum likelihood analysis Loess Plateau of China remote-sensing footprints field-scale variability loess-plateau moisture variability land-use china catchment model precipitation vegetation
英文摘要Plant root systems can utilize soil water to depths of 10 m or more. Spatial pattern data of deep soil water content (SWC) at the regional scale are scarce due to the labour and time constraints of field measurements. We measured gravimetric deep SWC (DSWC) at depths of 200, 300, 400, 500, 600, 800 and 1000 cm at 382 sites across the Loess Plateau, China. The coefficient of variation was high for soil water content (SWC) in the horizontal direction (48%), but was relatively small for SWC in the vertical direction (9%). Semivariogram ranges for DSWC at different depths were between 198 and 609 km. Kriged distribution maps indicated that deep soil layers became moister along northwest to southeast transects. Multiple statistical analyses related DSWC to plant characteristics (e. g. plant age explained >21% of the variability), geographical location and altitude (8-13%), soil texture and infiltrability, evaporation zone and eco-hydrological processes (P < 0.05). Regional land management decisions can be based on our DSWC distribution data to determine land uses and plant species appropriate for the soil type and location that would maintain a stable soil water balance. Maintaining infiltrability is of great importance in this and other water-scarce regions of the world.
出处Hydrological Sciences Journal-Journal Des Sciences Hydrologiques
57
2
265-281
收录类别SCI
语种英语
ISSN号0262-6667
源URL[http://ir.igsnrr.ac.cn/handle/311030/30734]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Wang Y. Q.,Shao M. A.,Liu Z. P.,et al. Regional spatial pattern of deep soil water content and its influencing factors. 2012.

入库方式: OAI收割

来源:地理科学与资源研究所

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