Using Spatially Rich Data Sets to Assess the Influence of Channel Characteristics on Biogeochemical Behavior in Agricultural Watersheds

IF 5 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES Water Resources Research Pub Date : 2025-02-24 DOI:10.1029/2024wr038265
Allison M. Herreid, Brent J. Dalzell, Kade Flynn, John Baker
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Abstract

Many agricultural landscapes have undergone significant modifications to drain farmland and improve crop productivity. Subsurface field drainage, ditching and channelization of streams limit opportunities for biogeochemical processing of carbon and nutrients within the channel network. In this study, we used spatially rich water quality data collected from two contrasting regions of an agricultural watershed in south-central Minnesota, USA to assess how watershed features, such as channelization, tile drainage, and presence of lakes or wetlands, influence biogeochemical processing of nitrate (NO3) and dissolved organic carbon (DOC). In the channelized upstream region, land use is predominantly agricultural (>92%) with subsurface tile drainage commonly discharging directly to the stream channel. Further downstream, the channel is more natural with increasing lakes and wetlands, including riparian wetlands. We used the concept of reach leverage to interpret biogeochemical behavior (i.e., source vs. sink) in each region of the watershed. Results indicate variability in biogeochemical behavior between the distinct watershed regions, suggesting that channel characteristics and the presence of lentic waters play a role in regulating biogeochemical processing. The upstream, channelized region acts primarily as a conservative transporter or small source of both NO3 and DOC across sampling dates. In contrast, the lentic-influenced region exhibited shifts between source and sink behavior over time, especially for NO3, influenced by factors such as hydrologic connectivity and discharge. These findings highlight the value of collecting spatially resolved data to enhance our understanding of biogeochemical processing which may be useful to inform effective management and conservation strategies.
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利用空间丰富数据集评估农业流域河道特征对生物地球化学行为的影响
许多农业景观经历了重大的修改,以排水农田和提高作物生产力。地下农田排水、沟渠和河道化限制了河道网络中碳和营养物质的生物地球化学处理的机会。在这项研究中,我们使用了来自美国明尼苏达州中南部两个不同地区的农业流域的空间丰富的水质数据来评估流域特征,如渠化、瓦片排水和湖泊或湿地的存在,如何影响硝酸盐(NO3−)和溶解有机碳(DOC)的生物地球化学处理。在河道化的上游地区,土地利用以农业为主(占92%),地下排水通常直接排入河道。再往下游,随着湖泊和湿地(包括河岸湿地)的增加,河道更加自然。我们使用到达杠杆的概念来解释流域每个区域的生物地球化学行为(即源与汇)。结果表明,不同流域的生物地球化学行为存在差异,表明河道特征和死水的存在对生物地球化学过程起着调节作用。上游的沟渠化区域在采样期间主要作为NO3−和DOC的保守转运体或小来源。相比之下,受透镜体影响的区域随着时间的推移呈现出源和汇之间的变化,特别是NO3−,受水文连通性和流量等因素的影响。这些发现强调了收集空间解析数据的价值,以增强我们对生物地球化学过程的理解,这可能有助于为有效的管理和保护策略提供信息。
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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