Mitigating nitrogen losses with almost no crop yield penalty during extremely wet years
文献类型：期刊论文
| 作者 | Liu, Wenfeng1,2,3; Li, Mengxue1,2,3; Huang, Yuanyuan4; Makowski, David5; Su, Yang6,7,8; Bai, Yawei1,2,3; Schauberger, Bernhard9,10; Du, Taisheng1,2,3; Abbaspour, Karim C.11; Yang, Kun12,13 |
| 刊名 | SCIENCE ADVANCES
 |
| 出版日期 | 2024-02-28 |
| 卷号 | 10期号:9页码:10 |
| ISSN号 | 2375-2548 |
| DOI | 10.1126/sciadv.adi9325 |
| 通讯作者 | Liu, Wenfeng(wenfeng.liu@cau.edu.cn) |
| 英文摘要 | Climate change-induced precipitation anomalies during extremely wet years (EWYs) result in substantial nitrogen losses to aquatic ecosystems (N-w). Still, the extent and drivers of these losses, and effective mitigation strategies have remained unclear. By integrating global datasets with well-established crop modeling and machine learning techniques, we reveal notable increases in N-w, ranging from 22 to 56%, during historical EWYs. These pulses are projected to amplify under the SSP126 (SSP370) scenario to 29 to 80% (61 to 120%) due to the projected increases in EWYs and higher nitrogen input. We identify the relative precipitation difference between two consecutive years (diffPr) as the primary driver of extreme Nw. This finding forms the basis of the CLimate Extreme Adaptive Nitrogen Strategy (CLEANS), which scales down nitrogen input adaptively to diffPr, leading to a substantial reduction in extreme N-w with nearly zero yield penalty. Our results have important implications for global environmental sustainability and while safeguarding food security. |
| WOS关键词 | GLOBAL NITROGEN ; PRECIPITATION ; VARIABILITY ; NUTRIENT ; INCREASE ; EVENTS ; LOADS |
| 资助项目 | National Natural Science Foundation of China[52109071] ; National Natural Science Foundation of China[52239002] ; National Natural Science Foundation of China[32361143871] ; Chinese Universities Scientific Fund[2023RC026] ; Chinese Universities Scientific Fund[2022RC035] ; Discipline Innovative Engineering Plan (111 Program)[B14002] ; High-performance Computing Platform of China Agricultural University ; CLAND project[ANR-16-CONV-0003] ; INRAE program CLIMAE |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001186126800006 |
| 出版者 | AMER ASSOC ADVANCEMENT SCIENCE |
| 资助机构 | National Natural Science Foundation of China ; Chinese Universities Scientific Fund ; Discipline Innovative Engineering Plan (111 Program) ; High-performance Computing Platform of China Agricultural University ; CLAND project ; INRAE program CLIMAE |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/204127]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Wenfeng |
| 作者单位 | 1.State Key Lab Efficient Utilizat Agr Water Resourc, Beijing 100083, Peoples R China 2.Natl Field Sci Observat & Res Stn Efficient Water, Wuwei 733000, Peoples R China 3.China Agr Univ, Coll Water Resources & Civil Engn, Ctr Agr Water Res China, Beijing 100083, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 5.Univ Paris Saclay, INRAE AgroParisTech, UMR Appl Math & Comp Sci MIA518, Palaiseau, France 6.Univ Paris Saclay, UMR ECOSYS, INRAE UVSQ, F-91190 Gif Sur Yvette, France 7.Ecole Normale Super PSL, Dept Informat, F-75005 Paris, France 8.Univ Paris Saclay, Lab Sci Climat & Environm, LSCE IPSL, CEA CNRS UVSQ, Gif Sur Yvette, France 9.Univ Appl Sci Weihenstephan Triesdorf, Dept Sustainable Agr & Energy Syst, Staudengarten 1, D-85354 Freising Weihenstephan, Germany 10.Leibniz Assoc, Potsdam Inst Climate Impact Res PIK, D-14473 Potsdam, Germany |
| 推荐引用方式 GB/T 7714 | Liu, Wenfeng,Li, Mengxue,Huang, Yuanyuan,et al. Mitigating nitrogen losses with almost no crop yield penalty during extremely wet years[J]. SCIENCE ADVANCES,2024,10(9):10. |
| APA | Liu, Wenfeng.,Li, Mengxue.,Huang, Yuanyuan.,Makowski, David.,Su, Yang.,...&Ciais, Philippe.(2024).Mitigating nitrogen losses with almost no crop yield penalty during extremely wet years.SCIENCE ADVANCES,10(9),10. |
| MLA | Liu, Wenfeng,et al."Mitigating nitrogen losses with almost no crop yield penalty during extremely wet years".SCIENCE ADVANCES 10.9(2024):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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