气候变化领域集成服务门户(CCPortal): Variations, controls and predictions of soil saturated hydraulic conductivity under different land use types in the alpine region of Tibet, China

CCPortal

DOI	10.1016/j.geodrs.2023.e00723
	Variations, controls and predictions of soil saturated hydraulic conductivity under different land use types in the alpine region of Tibet, China
	Zhao, Wen; Wang, Minghui; Chen, Cuibai; Huang, Laiming
发表日期	2023
ISSN	2352-0094
卷号	35
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.
关键词	Alpine region Field sampling Pedotransfer function Soil hydraulic properties Tibet Plateau
英文关键词	ARTIFICIAL NEURAL-NETWORK; PEDO-TRANSFER FUNCTIONS; PEDOTRANSFER FUNCTIONS; PHYSICAL-PROPERTIES; WATER-RETENTION; ORGANIC-MATTER; LOESS PLATEAU; SURFACE; PARAMETERS; IMPACT
WOS研究方向	Soil Science
WOS记录号	WOS:001102096200001
来源期刊	GEODERMA REGIONAL
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/282812
作者单位	Chinese Academy of Sciences; Institute of Geographic Sciences & Natural Resources Research, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; China University of Geosciences - Beijing
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],2023,35.
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.
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).