Opportunity windows for scaling up soil nitrogen processes
文献类型：期刊论文
| 作者 | Li, Benyi1; Li, Mengfei1; Yao, Yanzhong1; Han, Bingbing1; Niu, Shuli2; Li, Zhaolei1 |
| 刊名 | FRONTIERS OF EARTH SCIENCE
 |
| 出版日期 | 2026-03-07 |
| 卷号 | N/A |
| 关键词 | nitrous oxide nitrogen processes hierarchical framework microbial traits scaling up macroscale projection inorganic nitrogen dynamics |
| ISSN号 | 2095-0195 |
| DOI | 10.1007/s11707-025-1181-y |
| 产权排序 | 2 |
| 文献子类 | Article ; Early Access |
| 英文摘要 | Anthropogenic perturbations have profoundly changed global nitrogen (N) cycling, jeopardizing ecosystem sustainability and human well-being. Accurately understanding soil available N dynamics is critical for enhancing N use efficiency and mitigating nitrous oxide (N2O) emissions. Although mechanistic insights into soil inorganic N transformations and N2O production have advanced significantly at microscales, their dynamics at macroscales remain elusive, hindering predictive accuracy in Earth system models. Here, we propose a hierarchical framework that integrates environmental factors and microbial traits to scale up soil N processes, bridging the micro-macro research gap. This framework by embedding microbial traits into empirical models can improve the accuracy of N projections. Crucially, coupling relevant N processes (e.g., mineralization, nitrification, and denitrification) with the hierarchical framework is essential to better project N2O emissions and inorganic N dynamics at macroscales. Achieving this potential requires not only big data but also substantial computational power. Emerging approaches, such as Bayesian approaches, deep learning architectures, convergent cross-mapping techniques, and digital twin simulations, offer new opportunities to integrate heterogeneous data sets and refine model parameterization for macroscale predictions. Our framework advances the theoretical foundation for scaling soil N processes, with direct applications in improving the precision of projections for global N2O emissions and soil inorganic N dynamics. |
| URL标识 | 查看原文 |
| WOS关键词 | FOREST SOIL ; NITRATE ; CARBON ; IMMOBILIZATION ; MINERALIZATION ; NITRIFICATION ; DIVERSITY ; DYNAMICS ; POOLS ; WATER |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001711783100001 |
| 出版者 | SPRINGER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221203]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 通讯作者 | Li, Zhaolei |
| 作者单位 | 1.Southwest Univ, Coll Resources & Environm,Minist Agr & Rural Affai, Interdisciplinary Res Ctr Agr Green Dev Yangtze Ri, Key Lab Low Carbon Green Agr Southwestern China, Chongqing 400715, Peoples R China; 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modelling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Benyi,Li, Mengfei,Yao, Yanzhong,et al. Opportunity windows for scaling up soil nitrogen processes[J]. FRONTIERS OF EARTH SCIENCE,2026,N/A. |
| APA | Li, Benyi,Li, Mengfei,Yao, Yanzhong,Han, Bingbing,Niu, Shuli,&Li, Zhaolei.(2026).Opportunity windows for scaling up soil nitrogen processes.FRONTIERS OF EARTH SCIENCE,N/A. |
| MLA | Li, Benyi,et al."Opportunity windows for scaling up soil nitrogen processes".FRONTIERS OF EARTH SCIENCE N/A(2026). |
入库方式： OAI收割
来源：地理科学与资源研究所
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