Collaborative Research: Rivers and the Carbon Cycle: A Mechanistic Basis for Dissolved Organic Carbon Removal

合作研究：河流与碳循环：溶解有机碳去除的机理基础

• 批准号: 1754314
• 负责人: Robert Hall
• 金额: $ 8.39万
• 依托单位: University of Montana
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-06-01 至 2022-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1754314&HistoricalAwards=false
• 关键词: Collaborative; Research; Rivers; Carbon; Cycle

Streams and rivers are important for the removal of organic matter transported from land as water moves across landscapes. Many questions remain about how organic matter is removed from freshwaters. A key challenge is that not all organic matter is the same. Organic matter dissolved in freshwaters is made up of many different compounds. These compounds range in age, source, and chemical composition, all of which can influence how fast they are processed. To overcome this challenge, researchers will collect real-time sensor data and design field-scale experiments to measure how fast organic matter is removed by streams. The project aims to test hypotheses about what processes control the removal of different types of organic matter from streams and rivers. This is important because organic matter provides energy that supports food webs, and can pollute downstream ecosystems. Organic matter processing can also determine rates of greenhouse emissions from streams and rivers to the atmosphere. This research will also provide valuable opportunities for high school teachers to engage in investigations that will enhance their ability to meet Next-Generation Science standards.What processes drive organic carbon removal in streams, and how does organic carbon removal regulate the degree to which running waters are biological reactors versus exporters of organic carbon? These are key unresolved questions in carbon cycle research. This project will develop a proof-of-concept approach to test the hypothesis that non-additive effects of mixed organic matter sources (i.e. priming) control organic carbon removal in streams. Data products will include estimates of organic carbon turnover distance derived from ecosystem metabolism and stream chemistry, as well as empirical measures of organic carbon removal from ecosystem-level experiments that use single-source and mixed organic carbon additions. Project data and computer source codes will be shared openly via HydroShare and GitHub, respectively. The research will be conducted at Flathead Lake Biological Station and the researchers will partner with the Station?s recently funded SensorSpace, a community facility for construction and testing of novel environmental sensors, as well as a test bed for integrating sensor-based data into Next-Generation Science curricula.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

溪流和河流对于去除横跨景观时从陆地上运输的有机物很重要。 关于如何从淡水中去除有机物的许多问题。 一个关键的挑战是，并非所有有机物都是相同的。 溶解在淡水中的有机物由许多不同的化合物组成。这些化合物的年龄，来源和化学组成范围，所有这些化合物都会影响它们的处理速度。 为了克服这一挑战，研究人员将收集实时传感器数据和设计现场尺度实验，以测量流的有机物的速度。该项目旨在测试有关哪些过程控制从流和河流中去除不同类型的有机物的假设。 这很重要，因为有机物提供了支持食物网的能量，并且可以污染下游生态系统。有机物处理还可以确定从溪流和河流到大气的温室排放率。这项研究还将为高中教师提供宝贵的机会进行调查，以增强其达到下一代科学标准的能力。哪些过程可以推动溪流中的有机碳去除，以及有机碳去除如何调节运输水的程度是生物反应堆与有机碳的出口商？ 这些是碳循环研究中的关键尚未解决的问题。 该项目将开发一种概念验证方法，以检验以下假设：混合有机物源（即启动）控制流中有机碳的非添加作用。 数据产品将包括估计来自生态系统代谢和流化学的有机碳更换距离，以及从生态系统级实验中除去有机碳去除的经验测量，这些实验使用单源和混合有机碳添加。 项目数据和计算机源代码将分别通过Hydroshare和Github公开共享。 这项研究将在Flathead Lake Biologication进行，研究人员将与该站最近资助的Sensorspace合作，这是一种用于建造和测试新型环境传感器的社区设施，以及将基于传感器的数据整合到下一代科学课程中的测试床，该奖项反映了NSF的法定任务，反映了经过评估的范围。