COLLABORATIVE RESEARCH: Using empirical and modeling approaches to quantify the importance of nutrient spiraling in rivers

合作研究：使用经验和建模方法来量化河流中营养物螺旋上升的重要性

• 批准号: 0921423
• 负责人: Emma Rosi
• 金额: $ 15.09万
• 依托单位: Loyola University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-15 至 2010-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0921423&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; Using; empirical; modeling

Inland river networks regulate the export of nutrients from the terrestrial landscape, making them critical for mitigating eutrophication of downstream ecosystems. Yet the ability of rivers to process and retain nutrients has been understudied as previous research has focused mainly on small headwater streams. It is critical to understand how entire river ecosystems, not just sections of streams, influence regional and continental patterns of nutrient export to protect water resources. This research will use a novel field approach to gather empirical measurements of nutrient uptake in multiple rivers across the west and midwest and integrate the data into a dynamic network scale model to evaluate controls on nutrient uptake, thereby integrating aquatic ecosystem ecology and hydrological modeling. This approach will generate critical predictive relationships regarding the capacity of rivers spanning a range of nutrient and sediment conditions to mitigate downstream nutrient export, which is an essential step towards effective water quality management at the river network scale. The intellectual merit of the research includes the transformation of ecological theory regarding nutrient cycling in rivers and improved understanding of the ecosystem services that rivers provide. In turn, the broader impacts of the work will result in unparalleled educational opportunities for graduate students to collaborate on cutting edge river research, watershed modeling tools immediately useful to water resource managers, and data to improve emerging technologies for real-time nutrient monitoring to be used by national observatory programs.

内陆河网络调节陆地景观中营养物质的出口，使其对于减轻下游生态系统的富营养化至关重要。然而，由于先前的研究主要集中在小型源头流，因此河流处理和保留养分的能力已经被研究了。重要的是要了解整个河流生态系统，不仅是溪流的各个部分，还影响养分出口的区域和大陆模式以保护水资源。这项研究将采用一种新型的现场方法来收集西部和中西部多个河流中营养吸收的经验测量，并将数据整合到动态网络量表模型中，以评估对养分吸收的控制，从而整合了水生生态系统生态学和水文模型。这种方法将产生有关跨越一系列营养和沉积物条件的河流能力以减轻下游养分出口的关键预测关系，这是迈向有效水质管理的重要一步。这项研究的智力优点包括关于河流中营养自行车的生态理论的转变，以及对河流提供的生态系统服务的了解。反过来，这项工作的更广泛影响将为研究生提供无与伦比的教育机会，以便在尖端河流研究中合作，分水岭建模工具，对水资源管理人员有用，以及改善新兴技术的数据，以用于实时营养监测，以供国家观察服务使用。