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Uncovering the spatial characteristics of global net anthropogenic nitrogen input at high resolution and across 1.42 million lake basins

文献类型：期刊论文

作者Li, Jincheng4,5; Sun, Yanxin5; Qin, Yue5; Tang, Ting3,4; Kahil, Taher4; Burek, Peter4; Zhao, Gang2; Cai, Kaikui5; Jiang, Qingsong5; Liu, Yong1,5
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2024-11-25
卷号953页码:9
关键词Spatial characteristics Global Net Anthropogenic Nitrogen Input High resolution Global lake basins
ISSN号0048-9697
DOI10.1016/j.scitotenv.2024.176143
产权排序4
英文摘要Global Net Anthropogenic Nitrogen Input (NANI) at high resolution is crucial for assessing the impact of human activities on aquatic environments. Insufficient global high-resolution data sources and methods have hindered the effective examination of the global characteristics and driving forces of NANI. This study presents a general framework for calculating global NANI, providing estimates at a 5-arc-minute resolution and over 1.42 million lake basins in 2015. The results highlight the region near the Tropic of Cancer as a concentration area for high NANI and an inflection point for latitude-based accumulation variation. It also emphasizes the uneven distribution of NANI among continents, with Asia and Africa having the highest proportions, yet their high and low values are notably lower than those of Europe and South America. A similar pattern is observed in global lakes, where Asia has the smallest quantity and volume, but the highest NANI intensity. In contrast, North America and Europe have larger quantities and volumes but the lowest NANI intensity. The global distribution characteristics reveal a clustering pattern in high and low values, with 1.25 % of the area having a sum of NANI exceeding 20 %. The uncertainty analysis regarding model parameters indicates that continents with the highest NANI do not always exhibit the highest uncertainty. These results bridge the gap between global nitrogen sustainable management and anthropogenic nitrogen input. They support research on spatiotemporal changes and controlling factors of global river nutrient loads, as well as the impact of climatic factors on basin nitrogen loss and its variability.
WOS关键词CLIMATE-CHANGE ; RIVER-BASIN ; BUDGETS ; CHINA ; VARIABILITY ; AQUACULTURE ; DYNAMICS ; FLUXES ; AREAS
资助项目National Key Research and Development Program of China[2022YFE0138300] ; Yunnan Provincial Science and Technology Project at Southwest United Grad-uate School[202302AO370015] ; Beijing Natural Science Foundation[8244067] ; China Postdoctoral Science Foundation[2023M740074] ; China Postdoctoral Science Foundation[2024T170022]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001316433000001
出版者ELSEVIER
资助机构National Key Research and Development Program of China ; Yunnan Provincial Science and Technology Project at Southwest United Grad-uate School ; Beijing Natural Science Foundation ; China Postdoctoral Science Foundation
源URL[http://ir.igsnrr.ac.cn/handle/311030/208357]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Liu, Yong
作者单位1.Southwest United Grad Sch, Kunming 650092, Yunnan, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
3.King Abdullah Univ Sci & Technol, Biol & Environm Sci & Engn Div, Thuwal, Saudi Arabia
4.Int Inst Appl Syst Anal IIASA, Biodivers & Nat Resources Program, Water Secur Res Grp, Schlosspl 1, A-2361 Laxenburg, Austria
5.Peking Univ, Coll Environm Sci & Engn, State Environm Protect Key Lab All Mat Fluxes Rive, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714		 Li, Jincheng,Sun, Yanxin,Qin, Yue,et al. Uncovering the spatial characteristics of global net anthropogenic nitrogen input at high resolution and across 1.42 million lake basins[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2024,953:9.
APA Li, Jincheng.,Sun, Yanxin.,Qin, Yue.,Tang, Ting.,Kahil, Taher.,...&Liu, Yong.(2024).Uncovering the spatial characteristics of global net anthropogenic nitrogen input at high resolution and across 1.42 million lake basins.SCIENCE OF THE TOTAL ENVIRONMENT,953,9.
MLA Li, Jincheng,et al."Uncovering the spatial characteristics of global net anthropogenic nitrogen input at high resolution and across 1.42 million lake basins".SCIENCE OF THE TOTAL ENVIRONMENT 953(2024):9.

入库方式： OAI收割

来源：地理科学与资源研究所

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