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
基本信息
- 批准号:1753639
- 负责人:
- 金额:$ 84.56万
- 依托单位:
- 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 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
许多湖泊和水库中的氧气含量正在全球范围内发生变化。 这些变化可能会威胁到湖泊提供的生态系统服务。除了降低饮用水和渔业,氧气的变化可以改变湖底埋藏的碳量。 由于人造水库每年储存的碳比海洋多,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水库从低氧转换为高氧。该研究包括几个实验,涉及改变氧气水平,并检查对碳循环的影响。这项研究将改善对环境变化如何影响湖泊碳埋藏的预测。该项目的结果将有助于管理人员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。该项目将为水库生态学本科课程提供教育工具和课程计划。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,以改善政策。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,特别是人造水库,接收和处理大量的碳,这些碳可以作为二氧化碳和甲烷排放或埋藏在沉积物中。日益变化的氧浓度可能对淡水碳循环产生全球影响,因为高氧条件不仅促进最近进入生态系统的新碳的矿化,而且还促进多年沉积积累的遗留碳的矿化。该项目将解决首要问题:氧气的变化如何改变淡水生态系统中的碳处理以及二氧化碳和甲烷排放?为了回答这些问题,碳矿化和电子受体途径将在不同的氧气和温度条件下,在全生态系统氧气实验中以分钟为时间尺度进行测量,以量化碳处理的速率。在开放源生态系统模型中,将使用一套关于氧气可用性梯度的水库的额外采样,以改善对淡水生态系统长期碳埋藏的预测。总而言之,将整个生态系统的氧气操作与建模相结合,将决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NSF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
期刊论文数量(52)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Iterative Forecasting Improves Near-Term Predictions of Methane Ebullition Rates
迭代预测改进了甲烷沸腾率的近期预测
- DOI:10.3389/fenvs.2021.756603
- 发表时间:2021
- 期刊:
- 影响因子:4.6
- 作者:McClure, Ryan P.;Thomas, R. Quinn;Lofton, Mary E.;Woelmer, Whitney M.;Carey, Cayelan C.
- 通讯作者:Carey, Cayelan C.
Sediment trap time series data for Beaverdam Reservoir and Falling Creek Reservoir in southwestern Virginia, USA 2018 through 2022
美国弗吉尼亚州西南部 Beaverdam 水库和 Falling Creek 水库 2018 年至 2022 年沉积物捕集器时间序列数据
- DOI:10.6073/pasta/3e5d11ce1a38542d95250cdce18d6987
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Schreiber, Madeline E.;Wood, Cecelia E.;Lewis, Abigail S.;Hammond, Nicholas W.;Krueger, Kathryn M.;Lofton, Mary E.;McClure, Ryan P.;Munger, Zackary W.;Breef-Pilz, Adrienne;Ward, Nicole K.
- 通讯作者:Ward, Nicole K.
Time series of in situ Uv-Vis absorbance spectra and high-frequency predictions of total and soluble Fe and Mn concentrations measured at multiple depths in Falling Creek Reservoir (Vinton, VA, USA) in 2020 and 2021
2020 年和 2021 年 Falling Creek 水库(美国弗吉尼亚州文顿)多个深度测量的原位紫外-可见吸收光谱的时间序列以及总和可溶性铁和锰浓度的高频预测
- DOI:10.6073/pasta/9755e7d161fa2684d1575f07ecf5fd79
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Hammond, Nicholas W.;Birgand, François;Carey, Cayelan C.;Breef-Pilz, Adrienne;Bookout, Bethany;Schreiber, Madeline E.
- 通讯作者:Schreiber, Madeline E.
Time series of high-frequency sensor data measuring water temperature, dissolved oxygen, pressure, conductivity, specific conductance, total dissolved solids, chlorophyll a, phycocyanin, fluorescent dissolved organic matter, and turbidity at discrete dept
高频传感器数据的时间序列,测量水温、溶解氧、压力、电导率、比电导、总溶解固体、叶绿素a、藻蓝蛋白、荧光溶解有机物和离散部门的浊度
- DOI:10.6073/pasta/f6bb4f5f602060dec6652ff8eb555082
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Carey, Cayelan C.;Breef-Pilz, Adrienne;Woelmer, Whitney M
- 通讯作者:Woelmer, Whitney M
Riverine Discharge and Phytoplankton Biomass Control Dissolved and Particulate Organic Matter Dynamics over Spatial and Temporal Scales in the Neuse River Estuary, North Carolina
北卡罗来纳州纽斯河口的河流排放和浮游植物生物量控制时空尺度溶解和颗粒有机物动态
- DOI:10.1007/s12237-021-00955-w
- 发表时间:2021
- 期刊:
- 影响因子:2.7
- 作者:Hounshell, Alexandria G.;Fegley, Stephen R.;Hall, Nathan S.;Osburn, Christopher L.;Paerl, Hans W.
- 通讯作者:Paerl, Hans W.
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Cayelan Carey其他文献
Cayelan Carey的其他文献
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{{ truncateString('Cayelan Carey', 18)}}的其他基金
LTREB: Integrating real-time open data pipelines and forecasting to quantify ecosystem predictability at day to decadal scales
LTREB:集成实时开放数据管道和预测,以量化每日到十年尺度的生态系统可预测性
- 批准号:
2327030 - 财政年份:2024
- 资助金额:
$ 84.56万 - 项目类别:
Continuing Grant
Global Centers Track 2: Building the Global Center for Forecasting Freshwater Futures
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Collaborative Research: URoL:ASC: Applying rules of life to forecast emergent behavior of phytoplankton and advance water quality management
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2004323 - 财政年份:2020
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$ 84.56万 - 项目类别:
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MSA: Macrosystems EDDIE: An undergraduate training program in macrosystems science and ecological forecasting
MSA:宏观系统 EDDIE:宏观系统科学和生态预测的本科培训项目
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1933016 - 财政年份:2020
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$ 84.56万 - 项目类别:
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SCC-IRG Track 2: Resilient Water Systems: Integrating Environmental Sensor Networks and Real-Time Forecasting to Adaptively Manage Drinking Water Quality and Build Social Trust
SCC-IRG 第 2 轨道:弹性水系统:集成环境传感器网络和实时预测,自适应管理饮用水质量并建立社会信任
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1737424 - 财政年份:2018
- 资助金额:
$ 84.56万 - 项目类别:
Standard Grant
MSB-ECA: A macrosystems science training program: developing undergraduates' simulation modeling, distributed computing, and collaborative skills
MSB-ECA:宏观系统科学培训计划:培养本科生的仿真建模、分布式计算和协作技能
- 批准号:
1702506 - 财政年份:2017
- 资助金额:
$ 84.56万 - 项目类别:
Standard Grant
DISSERTATION RESEARCH: Hypoxia-induced trade-offs on zooplankton vertical distribution and community structure in freshwaters
论文研究:缺氧引起的淡水浮游动物垂直分布和群落结构的权衡
- 批准号:
1601061 - 财政年份:2016
- 资助金额:
$ 84.56万 - 项目类别:
Standard Grant
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