中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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
DOI10.1016/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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