Combining stable isotopes and spatial stream network modelling to disentangle the roles of hydrological and biogeochemical processes on riverine nitrogen dynamics

生物地球化学循环 环境科学 稳定同位素比值 氮气 生物地球化学 溪流 水文学(农业) 生态学 化学 地质学 计算机科学 生物 物理 量子力学 计算机网络 有机化学 岩土工程
作者
Minpeng Hu,Zhongjie Yu,Timothy J. Griffis,John M. Baker
出处
期刊:Water Research [Elsevier BV]
卷期号:269: 122800-122800 被引量:12
标识
DOI:10.1016/j.watres.2024.122800
摘要

Intensive agricultural activities have significantly altered watershed hydrological and biogeochemical processes, resulting in water quality issues and loss of ecosystem functions and biodiversity. A major challenge in effectively mitigating nitrogen (N) loss from agricultural watersheds stems from the heterogeneity of N transformation and transport processes that complicates accurate quantification and modeling of N sources and sinks at the watershed scale. This study utilized stable isotopes of water and nitrate (NO3-) in conjunction with spatial stream network modeling (SSNMs) to explore watershed hydrology, N transformation, and sources within a mesoscale river network in the U.S. Corn Belt (Cannon River Watershed, Minnesota) under contrasting hydrological conditions. The results show that the wet season had elevated riverine NO3- concentration (medium: 8.4 mg N L-1), driven by high watershed wetness conditions that mobilizes NO3- from the near-surface source zone. Furthermore, the strong hydrologic connectivity also reduced the denitrification potential by shortening water travel times. In comparison, the dry season showed lower NO3- concentrations (0.9 mg N L-1) and stronger denitrification NO3- isotope signals. During this period, the decrease in hydrologic connectivity shifted the predominant water source to deep groundwater, with longer water travel time promoting denitrification. After accounting for isotopic fractionations during nitrification and denitrification, we identified fertilizer N as the main NO3- source during the wet season (98.2±1.3%), whereas the dry season showed contributions from diverse sources (64.4±11.9% fertilizer, 26.0±15.8% soil N, and 9.5±6.0% manure and sewage). During the dry season, karst regions with high hydrologic connectivity display increased shallow groundwater inputs, carrying elevated NO3- levels from leaching of applied chemical fertilizers. These findings highlight the importance of integrating drainage water management and N accumulation in groundwater into nutrient management strategies to develop adaptive measures for controlling N pollution in agricultural watersheds.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
刚刚
我是老大的应助被Shmily采纳,获得10
1秒前
章什么充发布了新的文献求助10
2秒前
浮梦发布了新的文献求助10
2秒前
Gotye0829完成签到,获得积分10
3秒前
3秒前
flower完成签到 ,获得积分10
3秒前
yeyeye发布了新的文献求助10
3秒前
3秒前
小虫子发布了新的文献求助10
4秒前
科研通AI6.2的应助被whisper采纳,获得10
5秒前
5秒前
烟花的应助被含蓄如曼采纳,获得10
5秒前
上官若男的应助被胡小妹采纳,获得10
5秒前
Amber完成签到,获得积分10
6秒前
6秒前
yjq发布了新的文献求助10
7秒前
欢呼亦绿发布了新的文献求助10
7秒前
yu完成签到,获得积分10
7秒前
搜集达人的应助被呆毛采纳,获得10
7秒前
8秒前
小安睡不醒完成签到,获得积分10
8秒前
饼的书完成签到,获得积分10
8秒前
8秒前
8秒前
龅牙苏发布了新的文献求助10
9秒前
叶子发布了新的文献求助10
9秒前
未来可期发布了新的文献求助10
9秒前
淮雨晚关注了科研通微信公众号
9秒前
10秒前
wqy发布了新的文献求助10
10秒前
10秒前
专一的裘关注了科研通微信公众号
11秒前
12秒前
浮梦完成签到,获得积分10
12秒前
13秒前
赘婿的应助被等待冥采纳,获得10
13秒前
csy发布了新的文献求助10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea De Guyane 2000
从自在到自觉:中华民族观念形成研究:全二册 800
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
桑白皮エキスの実験的, 臨床的育毛効果について 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 7999212
求助须知:如何正确求助?哪些是违规求助? 9452859
关于积分的说明 21141525
捐赠科研通 7572430
什么是DOI,文献DOI怎么找? 3380847
关于科研通互助平台的介绍 2513719
邀请新用户注册赠送积分活动 2414692