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: 1007807
• 负责人: Emma Rosi
• 金额: $ 15.09万
• 依托单位: Cary Institute of Ecosystem Studies, Inc.
• 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: 2009-08-31 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1007807&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.

内陆河网调节陆地景观养分的输出，使其对于减轻下游生态系统的富营养化至关重要。然而，由于之前的研究主要集中在小型源头溪流，因此河流处理和保留养分的能力尚未得到充分研究。了解整个河流生态系统（而不仅仅是溪流的一部分）如何影响区域和大陆的养分输出模式以保护水资源至关重要。这项研究将使用一种新颖的实地方法来收集西部和中西部多条河流养分吸收的经验测量结果，并将数据整合到动态网络规模模型中，以评估对养分吸收的控制，从而整合水生生态系统生态学和水文模型。该方法将生成有关跨越一系列养分和沉积物条件的河流容量的关键预测关系，以减轻下游养分输出，这是在河网规模上实现有效水质管理的重要一步。该研究的智力价值包括转变有关河流养分循环的生态理论以及提高对河流提供的生态系统服务的理解。反过来，这项工作的更广泛影响将为研究生带来无与伦比的教育机会，让他们在前沿河流研究、对水资源管理者立即有用的流域建模工具以及改进实时营养物监测新兴技术的数据方面进行合作。由国家天文台计划使用。