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：
Cayelan Carey
金额：
$ 84.56万
依托单位：
Virginia Polytechnic Institute and State University
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：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1753639&HistoricalAwards=false
关键词：
Collaborative Research Consequences changing oxygen

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.

许多湖泊和储层中的氧气量在全球变化。这些变化可能威胁到湖泊提供的生态系统服务。除了降解饮用水和渔业外，氧气的变化还会改变湖底含量的碳。由于每年的人为水库比海洋储存的碳储存更多，因此这些变化可能会对全球碳循环产生重大影响。氧气变化的大小以及水质的后果尚不清楚。该项目将利用前所未有的机会将整个储层从低氧气转换为高氧气。该研究包括几个涉及改变氧气水平的实验，并检查对碳循环的影响。这项研究将改善对环境变化将如何影响湖中碳埋葬的预测。该项目的结果将有助于管理人员实现目标，以提高储层水质。这也将有助于了解管理对湖泊碳埋葬的长期影响。该项目将制定有关水库生态学本科课程的教育工具和课程计划。项目科学家将与水电图和更广泛的研究社区合作，共享知识以改善政策。最后，研究生和本科生将接受跨越生态学，地球科学和工程学的学科培训。淡水，尤其是人造的水库，接收和处理大量碳，可以将其排放为二氧化碳和甲烷或埋在沉积物中的碳。越来越多的氧气浓度可能对淡水碳循环产生全球影响，因为高氧气条件不仅促进了最近进入生态系统的新碳的矿化，而且还促进了多年来沉积物中积累的遗产碳。该项目将解决一个总体问题：氧气的变化将如何改变淡水生态系统中的碳加工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整个生态系统氧实验中的不同氧气和温度条件下以新的传感器技术进行测量，以量化碳处理速率。在开源生态系统模型中将使用一套氧气可用性梯度上的储层套件进行其他抽样，以改善淡水生态系统中长期碳埋葬的预测。总而言之，将氧气的整个生态系统操纵与建模整合将决定动态氧状况如何改变水生生态系统中的碳循环。这项奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的审查标准来通过评估来通过评估来支持的。

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：
Frontiers in Environmental Science
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.

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：
Environmental Data Initiative
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：
Estuaries and Coasts
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.

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：
Environmental Data Initiative
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：
Environmental Data Initiative
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.