Variations, controls and predictions of soil saturated hydraulic conductivity under different land use types in the alpine region of Tibet, China
文献类型：期刊论文
| 作者 | Zhao, Wen2,3; Wang, Minghui1; Chen, Cuibai1; Huang, Laiming2,3 |
| 刊名 | GEODERMA REGIONAL
 |
| 出版日期 | 2023-12-01 |
| 卷号 | 35页码:11 |
| ISSN号 | 2352-0094 |
| 关键词 | Alpine region Field sampling Pedotransfer function Soil hydraulic properties Tibet Plateau |
| DOI | 10.1016/j.geodrs.2023.e00723 |
| 通讯作者 | Huang, Laiming(huanglm@igsnrr.ac.cn) |
| 英文摘要 | Understanding the variations and controls of soil saturated hydraulic conductivity (K-s) under different land use types in the alpine region of Tibet is fundamental for predicting K-s in high-altitude regions where sample points are difficult to obtain and is important for establishing the regional soil hydrological model. In this study, soils samples under farmland, forestland, and grassland were collected from an east-west transect in southeastern Tibet, China. Basic soil properties and K-s were measured to analyze the influencing factors of K-s under different land use types and to establish suitable pedotransfer functions (PTFs) for predicting K-s in the alpine region. The average value of K-s followed the decreasing order of grassland (2.33 cm h(-1)) > farmland (2.12 cm h(-1)) > forestland (1.59 cm h(-1)). K-s of grassland (0.25-9.19 cm h(-1)) decreased gradually with increasing soil depth. K-s of farmland (0.11-8.82 cm h(-1)) increased initially and then decreased with increasing soil depth, whereas K-s of forestland (0.12-4.46 cm h(-1)) exhibited the opposite trend. There were significant differences in the main controlling factors of K-s under different land use types. In farmland, soil bulk density (BD), non-capillary porosity (P-n), clay and gravel content (GC) were the main drivers of K-s (P < 0.05). The dominant influencing factors of K-s in forestland were BD and total porosity (P-t) (P < 0.05), while P-n and GC were the main factors controlling K-s in grassland (P < 0.05). Compared with the multiple linear stepwise regression models and published PTFs, the BP neural network transfer model had better prediction accuracy for K-s in the alpine region. Our results not only provide hydraulic parameters for regional hydrological modeling and but also lay a foundation to construct K-s prediction models for other alpine regions in the world. |
| WOS关键词 | ARTIFICIAL NEURAL-NETWORK ; PEDO-TRANSFER FUNCTIONS ; PEDOTRANSFER FUNCTIONS ; PHYSICAL-PROPERTIES ; WATER-RETENTION ; ORGANIC-MATTER ; LOESS PLATEAU ; SURFACE ; PARAMETERS ; IMPACT |
| 资助项目 | Second Tibetan Plateau Scientific Expedition and Research (STEP) Program[2019QZKK0306] ; Third Comprehensive Scientific Expedition Project in Xinjiang[2022XJKK0904] ; Youth Innovation Promotion Association of Chinese Academy of Sciences[2019052] ; State Key Laboratory of Urban and Regional Ecology ; State Key Laboratory of Earth Surface Processes and Resource Ecology[SKLEG2023211] ; State Key Laboratory of Environmental Geochemistry ; Bingwei Outstanding Young Talent Project from the Institute of Geographical Sciences and Natural Resources Research ; [2022-KF-04] ; [SKLURE2023-2-2] ; [2017RC203] |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:001102096200001 |
| 资助机构 | Second Tibetan Plateau Scientific Expedition and Research (STEP) Program ; Third Comprehensive Scientific Expedition Project in Xinjiang ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; State Key Laboratory of Urban and Regional Ecology ; State Key Laboratory of Earth Surface Processes and Resource Ecology ; State Key Laboratory of Environmental Geochemistry ; Bingwei Outstanding Young Talent Project from the Institute of Geographical Sciences and Natural Resources Research |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200104]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang, Laiming |
| 作者单位 | 1.China Univ Geosci Beijing, Sch Water Resources & Environm, Beijing 100083, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Yellow River Delta Modern Agr Engn Lab, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Wen,Wang, Minghui,Chen, Cuibai,et al. Variations, controls and predictions of soil saturated hydraulic conductivity under different land use types in the alpine region of Tibet, China[J]. GEODERMA REGIONAL,2023,35:11. |
| APA | Zhao, Wen,Wang, Minghui,Chen, Cuibai,&Huang, Laiming.(2023).Variations, controls and predictions of soil saturated hydraulic conductivity under different land use types in the alpine region of Tibet, China.GEODERMA REGIONAL,35,11. |
| MLA | Zhao, Wen,et al."Variations, controls and predictions of soil saturated hydraulic conductivity under different land use types in the alpine region of Tibet, China".GEODERMA REGIONAL 35(2023):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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