Nitrogen Memoryscapes: Typologies of Nitrogen Inputs and Riverine Loads Across the Continental United States

IF 8.5 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Earths Future Pub Date : 2026-08-01 DOI:10.1029/2026EF008532
D. K. Byrnes, K. J. Van Meter, N. B. Basu
{"title":"Nitrogen Memoryscapes: Typologies of Nitrogen Inputs and Riverine Loads Across the Continental United States","authors":"D. K. Byrnes,&nbsp;K. J. Van Meter,&nbsp;N. B. Basu","doi":"10.1029/2026EF008532","DOIUrl":null,"url":null,"abstract":"<p>Nitrogen pollution has severely impacted inland and coastal waters, contributing to eutrophication, harmful algal blooms, and drinking water contamination. Reducing nitrogen inputs is widely expected to improve water quality, but watershed responses to changing nitrogen surplus are often nonlinear and delayed, complicating expectations of recovery. Here, we analyze long-term trends in nitrogen surplus and riverine nitrogen loads across 490 US watersheds from 1990 to 2017 to examine how changes in inputs translate into changes in load. By jointly classifying watersheds based on the direction of surplus and load trends, we identify four response regimes that capture the diversity of nitrogen dynamics across US landscapes. Using a multivariate classification framework, we show that watershed responses are shaped by interactions among nitrogen source type, hydrologic connectivity, climate constraints, and legacy nitrogen storage. Livestock density is associated with increasing nitrogen surplus, while declining atmospheric deposition is associated with decreasing surplus and loads. Groundwater-dominated watersheds exhibit increasing nitrogen loads despite declining surplus, reflecting the long memory of subsurface nitrogen storage. Connectivity modulates these responses: tile-drained watersheds exhibit tight coupling between surplus and load, whereas arid, low-connectivity systems show declining loads despite increasing surplus. These results show that spatial patterns in riverine loads cannot be used to infer recovery trajectories following reductions in nitrogen inputs, and effective nitrogen management requires accounting for watershed-specific response regimes.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"14 8","pages":""},"PeriodicalIF":8.5000,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2026EF008532","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earths Future","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2026EF008532","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Nitrogen pollution has severely impacted inland and coastal waters, contributing to eutrophication, harmful algal blooms, and drinking water contamination. Reducing nitrogen inputs is widely expected to improve water quality, but watershed responses to changing nitrogen surplus are often nonlinear and delayed, complicating expectations of recovery. Here, we analyze long-term trends in nitrogen surplus and riverine nitrogen loads across 490 US watersheds from 1990 to 2017 to examine how changes in inputs translate into changes in load. By jointly classifying watersheds based on the direction of surplus and load trends, we identify four response regimes that capture the diversity of nitrogen dynamics across US landscapes. Using a multivariate classification framework, we show that watershed responses are shaped by interactions among nitrogen source type, hydrologic connectivity, climate constraints, and legacy nitrogen storage. Livestock density is associated with increasing nitrogen surplus, while declining atmospheric deposition is associated with decreasing surplus and loads. Groundwater-dominated watersheds exhibit increasing nitrogen loads despite declining surplus, reflecting the long memory of subsurface nitrogen storage. Connectivity modulates these responses: tile-drained watersheds exhibit tight coupling between surplus and load, whereas arid, low-connectivity systems show declining loads despite increasing surplus. These results show that spatial patterns in riverine loads cannot be used to infer recovery trajectories following reductions in nitrogen inputs, and effective nitrogen management requires accounting for watershed-specific response regimes.

Abstract Image

氮记忆景观:美国大陆氮输入和河流负荷的类型学
氮污染严重影响内陆和沿海水域,造成富营养化、有害藻华和饮用水污染。人们普遍认为减少氮输入可以改善水质,但流域对氮盈余变化的响应往往是非线性和延迟的,这使恢复的预期复杂化。在这里,我们分析了1990年至2017年美国490个流域的氮盈余和河流氮负荷的长期趋势,以研究投入的变化如何转化为负荷的变化。通过根据剩余和负荷趋势的方向对流域进行联合分类,我们确定了四种响应机制,这些机制捕捉了美国景观中氮动态的多样性。利用多元分类框架,我们发现流域响应是由氮源类型、水文连通性、气候约束和遗留氮储存之间的相互作用形成的。牲畜密度与氮剩余增加有关,而大气沉降减少与剩余和负荷减少有关。以地下水为主的流域氮素负荷增加,但剩余量减少,反映了地下氮储存的长期记忆。连通性调节了这些响应:瓦片排水流域在剩余和负荷之间表现出紧密耦合,而干旱、低连通性的系统在剩余增加的同时显示出负荷下降。这些结果表明,河流负荷的空间格局不能用来推断氮输入减少后的恢复轨迹,有效的氮管理需要考虑流域特定的响应机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Earths Future
Earths Future ENVIRONMENTAL SCIENCESGEOSCIENCES, MULTIDI-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
11.00
自引率
7.30%
发文量
260
审稿时长
16 weeks
期刊介绍: Earth’s Future: A transdisciplinary open access journal, Earth’s Future focuses on the state of the Earth and the prediction of the planet’s future. By publishing peer-reviewed articles as well as editorials, essays, reviews, and commentaries, this journal will be the preeminent scholarly resource on the Anthropocene. It will also help assess the risks and opportunities associated with environmental changes and challenges.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书