Spatial simulation of soil-water content in dry and wet conditions in a hectometer-scale degraded alpine meadow
文献类型：期刊论文
| 作者 | Zhu, Xu-Chao1,2; Cao, Rui-Xue2,3; Shao, Ming-An2,3 |
| 刊名 | LAND DEGRADATION & DEVELOPMENT
 |
| 出版日期 | 2019-02-15 |
| 卷号 | 30期号:3页码:278-289 |
| 关键词 | alpine meadow soil-moisture conditions soil-water content spatial simulation state-space equation |
| ISSN号 | 1085-3278 |
| DOI | 10.1002/ldr.3222 |
| 通讯作者 | Shao, Ming-An(shaoma@igsnrr.ac.cn) |
| 英文摘要 | Soil-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. |
| WOS关键词 | STATE-SPACE APPROACH ; LOESS PLATEAU ; TIBETAN PLATEAU ; HYDRAULIC-PROPERTIES ; PHYSICAL-PROPERTIES ; ORGANIC-CARBON ; MOISTURE ; CHINA ; DEGRADATION ; CATCHMENT |
| 资助项目 | Innovation 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] |
| WOS研究方向 | Environmental Sciences & Ecology ; Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:000457471200004 |
| 出版者 | WILEY |
| 资助机构 | Innovation Program of Institute of Soil Science, CAS ; National Natural Science Foundation of China ; Natural Science Foundation of Jiangsu Province ; Youth Innovation Research Team Project |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/49887]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Shao, Ming-An |
| 作者单位 | 1.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, 11A,Datun Rd, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。