Vertical patterns and controlling factors of soil nitrogen in deep profiles on the Loess Plateau of China
文献类型:期刊论文
作者 | Wang, Yunqiang1,4,5,6; Zhang, Pingping4,5; Sun, Hui2,4; Jia, Xiaoxu1,3,6; Zhang, Chencheng4,5; Liu, Shaozhen6; Shao, Ming 'an1,3 |
刊名 | CATENA
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出版日期 | 2022-08-01 |
卷号 | 215页码:12 |
关键词 | Deep vadose zone Land use management Nitrogen budget Random forest model China's Loess Plateau |
ISSN号 | 0341-8162 |
DOI | 10.1016/j.catena.2022.106318 |
通讯作者 | Wang, Yunqiang(62336292wangyunq04@163.com) |
英文摘要 | Soil nitrogen is highly variable both in horizontal and vertical directions and plays an important role in environmental quality. To explore the vertical distributions of soil total nitrogen (STN), nitrate nitrogen (NO3--N) and ammonium nitrogen (NH4+-N) in deep vadose zone soil, and to verify the notion that soil N is highly affected by land use and soil type and that is depth-dependent, we collected soil and fresh root samples to a maximum depth of 21 m at 25 sites across China's Loess Plateau (CLP). STN and NO3--N concentrations were significantly higher under orchard (0.41 g kg(-1) and 40.98 mg kg(-1), respectively) than under farmland, forest and shrub-grassland (p < 0.001), while NH4+-N (7.32 mg kg(-1)) was significantly lower under orchard than forest (8.32 mg kg(-1), p < 0.05). In silt clay loam soil, STN and NO3--N concentrations were significantly higher (0.39 and 26.16 mg kg(-1)) than in silt loam soil (0.22 and 1.89 mg kg(-1)). Soil N differed greatly (especially in the upper four meters) but generally decreased with soil depth (SampD). Random forest model (RFM) and multiple linear regression analyses showed that the most important variables for STN were LogSOC, LogSampD, clay, pH, soil inorganic carbon, soil water content and LogAltitude; for LogNO(3)(-)-N were pH, LogSampD, land use, LogSOC, and soil water content; and for LogNH(4)(+)-N were pH, clay, LogAltitude, slope gradient and LogSOC. RFM had comparable good performance in predicting LogSTN and LogNO(3)(-)-N (r > 0.915, p < 0.001), followed by LogNH(4)(+)-N (r = 0.653, p < 0.001). The amount, distribution and variation of soil N were co-controlled by land use, soil type, topography, soil properties and considered soil depth. Understanding this information is essential in estimating soil N budget, developing N cycling models and improving sustainable N management on the CLP and similar regions around the world. |
WOS关键词 | LAND-USE CHANGE ; AGGREGATE-ASSOCIATED CARBON ; ORGANIC-CARBON ; TEMPORAL PATTERNS ; SPATIAL-PATTERNS ; TOTAL PHOSPHORUS ; CRITICAL ZONE ; NITRATE ; CLIMATE ; VEGETATION |
资助项目 | Strategic Priority Research Pro-gram of Chinese Academy of Sciences[XDB40020203] ; National Natural Science Foundation of China[41971045] ; Youth Innovation Promotion Association CAS |
WOS研究方向 | Geology ; Agriculture ; Water Resources |
语种 | 英语 |
WOS记录号 | WOS:000800112200005 |
出版者 | ELSEVIER |
资助机构 | Strategic Priority Research Pro-gram of Chinese Academy of Sciences ; National Natural Science Foundation of China ; Youth Innovation Promotion Association CAS |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/177664] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Wang, Yunqiang |
作者单位 | 1.Grad Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Xian Inst Innovat Earth Environm Res, Xi'an 710061, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 4.Chinese Acad Sci, State Key Lab Loess & Quaternary Geol, Inst Earth Environm, Xi'an 710061, Shaanxi, Peoples R China 5.Chinese Acad Sci, Ctr Excellence Quaternary Sci & Global Change, Xi'an 710061, Peoples R China 6.Beijing Normal Univ, Interdisciplinary Res Ctr Earth Sci Frontier, Beijing 100875, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Yunqiang,Zhang, Pingping,Sun, Hui,et al. Vertical patterns and controlling factors of soil nitrogen in deep profiles on the Loess Plateau of China[J]. CATENA,2022,215:12. |
APA | Wang, Yunqiang.,Zhang, Pingping.,Sun, Hui.,Jia, Xiaoxu.,Zhang, Chencheng.,...&Shao, Ming 'an.(2022).Vertical patterns and controlling factors of soil nitrogen in deep profiles on the Loess Plateau of China.CATENA,215,12. |
MLA | Wang, Yunqiang,et al."Vertical patterns and controlling factors of soil nitrogen in deep profiles on the Loess Plateau of China".CATENA 215(2022):12. |
入库方式: OAI收割
来源:地理科学与资源研究所
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