Climate-driven spatial reorganization of cropland nitrogen pollution hotspots toward arid and semi-arid regions

Clicks: 4
ID: 322277
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #24 of 274 articles by views in national science review

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 274 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Cropland nitrogen (N) runoff contributes over 40% of riverine N loads globally, driving widespread aquatic eutrophication. The severity of this pollution is governed by the balance between N runoff and aquatic retention, yet how climate change will redistribute this risk across regions remains unclear. By integrating 1485 field observations into spatially explicit models across China, we show that climate change is creating new N pollution hotspots in arid and semi-arid regions. China’s humid South currently dominates riverine cropland N export (0.31 vs. 0.16 Tg in arid regions). However, under SSP2-4.5 and SSP5-8.5 scenarios, humid regions demonstrate hydrological resilience by 2050, with exports declining by approximately 5% due to warming-enhanced aquatic retention. In contrast, cropland N export from dryland-dominated North surges by 18.8–53.2%, driven by a nonlinear amplification of N runoff. These hydroclimatic shifts necessitate spatially adaptive strategies that prioritize cropland source reduction in the newly emerging arid and semi-arid hotspots.
Reference Key
openalex_W7170757775 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Qiu Jl, Yan Xm, D M Zhao, Wei Hu, X Li, Zelin Huang, Yan Xm, Yongqiu Xia
Journal national science review
Year 2026
DOI
10.1093/nsr/nwag455
URL
https://doi.org/10.1093/nsr/nwag455
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.