Spatial variations and influencing factors of soil organic carbon under different land use types in the alpine region of Qinghai-Tibet Plateau
文献类型：期刊论文
| 作者 | Wang, Ziwei4; Huang, Laiming1,2,3; Shao, Ming 'an2,3,4 |
| 刊名 | CATENA
 |
| 出版日期 | 2023 |
| 卷号 | 220页码:11 |
| 关键词 | Land use type Soil organic carbon Influencing factors Structural equation model Pedotransfer functions |
| ISSN号 | 0341-8162 |
| DOI | 10.1016/j.catena.2022.106706 |
| 通讯作者 | Huang, Laiming(huanglm@igsnrr.ac.cn) ; Shao, Ming 'an(mashao@ms.iswc.ac.cn) |
| 英文摘要 | Understanding soil organic carbon (SOC) distribution and influencing factors are important to accurately assess soil carbon sink potential and ecosystem quality. However, variations and controls of SOC content and stock under various land use types in the alpine region of Qinghai-Tibetan Plateau remain challenging. In this study, soil properties (pH, bulk density, porosity, clay content, soil organic carbon, soil water content, total nitrogen, total phosphorus, available nitrogen and available phosphorus) and environmental parameters (annual average temperature, annual average rainfall, normalized differential vegetation index, altitude, slope, surface rough-ness, longitude and latitude) were determined across a 600 km east-west transect in the Tibet alpine region for investigating the distribution characteristics and controls of SOC for three land use patterns - farmland (FA), forestland (FO) and grassland (GR). Results indicated that SOC content in the 0-30 cm decreased with increasing soil depth at different reduction rates under various land use types. The average SOC content and stock in GR was significantly higher than that in FO and FA due to the existence of mattic epipdon in GR under high altitude. The non-consideration of gravel content in soil can lead to an overestimation of SOC stock of 0-30 cm soil layer by 15.37 %, 16.70 % and 17.43 % for FA, FO and GR, respectively. Soil properties and environmental conditions simultaneously affect the spatial distribution of SOC under various land use patterns. Pedotransfer functions (PTFs) using multiple regression were used to forecast SOC content in the studied alpine region, which had a better predictive performance than previous published PTFs in the plain area, especially when SOC contents were higher than 40 g kg-1. Our study provides a foundation to build SOC prediction models for other alpine regions in the world, where SOC contents generally exhibit a wider range than the plain areas. |
| WOS关键词 | CLIMATE-CHANGE ; LOESS PLATEAU ; VEGETATION RESTORATION ; VERTICAL-DISTRIBUTION ; ABOVEGROUND BIOMASS ; ALTITUDE GRADIENT ; TOTAL NITROGEN ; STOCKS ; VARIABILITY ; TOPOGRAPHY |
| 资助项目 | Second Tibetan Plateau Scientific Expedition and Research (STEP) Program[2019QZKK0306] ; Youth Innovation Promotion Association of Chinese Academy of Sciences[2019052] ; Bingwei Outstanding Young Talent Project from the Institute of Geographical Sciences and Natural Resources Research[2017RC203] ; Scientific Research Program from State Key Laboratory of Earth Surface Processes and Resource Ecology[2022 -KF-04] ; State Key Laboratory of Soil Erosion and Dryland Agriculture in Loess Plateau[A314021402-2010] |
| WOS研究方向 | Geology ; Agriculture ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000877815900001 |
| 出版者 | ELSEVIER |
| 资助机构 | Second Tibetan Plateau Scientific Expedition and Research (STEP) Program ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Bingwei Outstanding Young Talent Project from the Institute of Geographical Sciences and Natural Resources Research ; Scientific Research Program from State Key Laboratory of Earth Surface Processes and Resource Ecology ; State Key Laboratory of Soil Erosion and Dryland Agriculture in Loess Plateau |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/186455]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang, Laiming; Shao, Ming 'an |
| 作者单位 | 1.Northwest Agr & Forestry Univ, Coll Nat Resources & Environm, State Key Lab Soil Eros & Dryland Farming Loess Pl, 3 Taicheng Rd, Yangling 712100, 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 4.Northwest A & F Univ, Coll Nat Resources & Environm, State Key Lab Soil Eros & Dryland Farming Loess Pl, Yangling 712100, Shanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Ziwei,Huang, Laiming,Shao, Ming 'an. Spatial variations and influencing factors of soil organic carbon under different land use types in the alpine region of Qinghai-Tibet Plateau[J]. CATENA,2023,220:11. |
| APA | Wang, Ziwei,Huang, Laiming,&Shao, Ming 'an.(2023).Spatial variations and influencing factors of soil organic carbon under different land use types in the alpine region of Qinghai-Tibet Plateau.CATENA,220,11. |
| MLA | Wang, Ziwei,et al."Spatial variations and influencing factors of soil organic carbon under different land use types in the alpine region of Qinghai-Tibet Plateau".CATENA 220(2023):11. |
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。