Collaborative Research: Consequences of changing oxygen availability for carbon cycling in freshwater ecosystems

合作研究：改变淡水生态系统中碳循环的氧气可用性的后果

• 批准号: 1753657
• 负责人: Paul Hanson
• 金额: $ 8.72万
• 依托单位: University of Wisconsin-Madison
• 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: 2018-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1753657&HistoricalAwards=false
• 关键词: Collaborative; Research; Consequences; changing; oxygen

The amount of oxygen in many lakes and reservoirs is changing globally. These changes may threaten ecosystem services lakes provide. In addition to degrading drinking water and fisheries, changes in oxygen can change how much carbon is buried in lake bottoms. Since human-made reservoirs store more carbon annually than the ocean, these changes may have a major impact on global carbon cycling. The magnitude of changes in oxygen, and consequences for water quality, are unknown. This project will take advantage of an unprecedented opportunity to switch an entire reservoir from low to high oxygen. The study includes several experiments that involve changing oxygen levels, and examining the impacts on carbon cycling. This research will improve predictions of how environmental changes will affect carbon burial in lakes. The project results will help managers meet goals to improve reservoir water quality. It will also contribute to understanding long-term effects of management on carbon burial in lakes. This project will produce educational tools and lesson plans for undergraduate courses on reservoir ecology. Project scientists will work with water utilities and the broader research community to share knowledge to improve policy. Finally, graduate and undergraduate students will be trained in subjects spanning ecology, geosciences, and engineering. Freshwaters, especially human-made reservoirs, receive and process a vast amount of carbon, which can be emitted as carbon dioxide and methane or buried in sediments. Increasingly variable oxygen concentrations may have global implications for freshwater carbon cycling because high oxygen conditions promote not only the mineralization of new carbon that has recently entered an ecosystem, but also legacy carbon accumulated over years of sedimentation. This project will address the overarching question: How will changes in oxygen alter carbon processing and carbon dioxide and methane emissions in freshwater ecosystems? To answer these questions, carbon mineralization and electron acceptor pathways will be measured with new sensor technology at the time scale of minutes under different oxygen and temperature conditions in whole-ecosystem oxygen experiments to quantify rates of carbon processing. Additional sampling across a suite of reservoirs on a gradient of oxygen availability will be used in open-source ecosystem models to improve predictions of long-term carbon burial in freshwater ecosystems. In sum, integrating whole-ecosystem manipulations of oxygen with modeling will determine how dynamic oxygen conditions alter carbon cycling in aquatic ecosystems.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.

在全球范围内，许多湖泊和水库的氧气含量正在发生变化。这些变化可能威胁湖泊提供的生态系统服务。除了使饮用水和渔业退化外，氧气的变化还会改变湖底所含碳的量。由于人造水库每年比海洋储存更多的碳，这些变化可能对全球碳循环产生重大影响。氧气变化的幅度以及对水质的影响尚不清楚。该项目将利用前所未有的机会，将整个油藏从低氧转换为高氧。这项研究包括几个实验，涉及改变氧气水平，并检查对碳循环的影响。这项研究将改进对环境变化如何影响湖泊碳埋藏的预测。项目结果将帮助管理者实现改善水库水质的目标。它还将有助于了解管理对湖泊碳埋藏的长期影响。本项目将为水库生态学的本科课程制作教学工具和教案。项目科学家将与水务公司和更广泛的研究界合作，分享知识以改进政策。最后，研究生和本科生将接受生态学、地球科学和工程学等学科的培训。淡水，尤其是人造水库，接收和处理大量的碳，这些碳可以以二氧化碳和甲烷的形式排放或埋在沉积物中。日益变化的氧浓度可能对淡水碳循环产生全球性影响，因为高氧条件不仅促进了最近进入生态系统的新碳的矿化，而且还促进了多年沉积积累的遗留碳。该项目将解决首要问题：氧气的变化将如何改变淡水生态系统中的碳加工和二氧化碳和甲烷排放？为了回答这些问题，将在全生态系统氧气实验中，在不同的氧气和温度条件下，用新的传感器技术在分钟的时间尺度上测量碳矿化和电子受体途径，以量化碳处理的速度。在氧气可用性梯度上对一系列水库进行额外采样将用于开源生态系统模型，以改进淡水生态系统中长期碳埋藏的预测。总之，将整个生态系统对氧气的操纵与建模相结合，将确定动态氧气条件如何改变水生生态系统中的碳循环。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Lake Mendota long term water quality model

门多塔湖长期水质模型

• DOI: 10.6073/pasta/f21259ba038cb517b876131b2fda41a1
• 发表时间: 2023
• 期刊: Environmental Data Initiative
• 作者: Hanson, Paul C

Predicting lake surface water phosphorus dynamics using process-guided machine learning

• DOI: 10.1016/j.ecolmodel.2020.109136
• 发表时间: 2020-08-15
• 期刊: ECOLOGICAL MODELLING
• 影响因子: 3.1
• 作者: Hanson, Paul C.;Stillman, Aviah B.;Kumar, Vipin
• 通讯作者: Kumar, Vipin

Variability in fluorescent dissolved organic matter concentrations across diel to seasonal time scales is driven by water temperature and meteorology in a eutrophic reservoir

• DOI: 10.1007/s00027-021-00784-w
• 发表时间: 2021-02
• 期刊: Aquatic Sciences
• 影响因子: 2.4
• 作者: Dexter W. Howard;A. Hounshell;M. Lofton;W. Woelmer;P. Hanson;C. Carey

Modeled Organic Carbon, Dissolved Oxygen, and Secchi for six Wisconsin Lakes, 1995-2014

1995-2014 年威斯康星州六个湖泊的有机碳、溶解氧和 Secchi 模型

• DOI: 10.6073/pasta/1b5b947999aa2f9e0e95c91782b36ee9
• 发表时间: 2022
• 期刊: Environmental Data Initiative
• 作者: Delany, Austin

The influence of carbon cycling on oxygen depletion in north-temperate lakes

• DOI: 10.5194/bg-20-5211-2023
• 发表时间: 2023-12
• 期刊: Biogeosciences
• 影响因子: 4.9
• 作者: A. Delany;R. Ladwig;C. Buelo;Ellen Albright;P. Hanson