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

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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2023-08-31

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中文摘要
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英文摘要
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.
期刊论文(8)
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会议论文
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
影响因子: --
作者: [Hanson, Paul C]
通讯作者: Hanson, Paul C
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
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]
通讯作者: 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
影响因子: --
作者: [Delany, Austin]
通讯作者: Delany, Austin
6
    Collaborative Research: MRA: Advancing process understanding of lake water quality to macrosystem scales with knowledge-guided machine learning
    • 批准号:
      2213549
    • 项目类别:
      Standard Grant
    • 资助金额:
      $52.59万
    • 财政年份:
      2022
    • 负责人:
      Paul Hanson
    • 依托单位:
    Collaborative Research: The Environmental Data Initiative - long-term availability of research data
    • 批准号:
      2223103
    • 项目类别:
      Standard Grant
    • 资助金额:
      $144.91万
    • 财政年份:
      2022
    • 负责人:
      Paul Hanson
    • 依托单位:
    Collaborative Research: Environmental Data Initiative: Sustaining the Legacy of Scientific Data
    • 批准号:
      1931174
    • 项目类别:
      Standard Grant
    • 资助金额:
      $198.63万
    • 财政年份:
      2019
    • 负责人:
      Paul Hanson
    • 依托单位:
    Collaborative Research: Knowledge Guided Machine Learning: A Framework for Accelerating Scientific Discovery
    • 批准号:
      1934633
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $34.19万
    • 财政年份:
      2019
    • 负责人:
      Paul Hanson
    • 依托单位:
    国内基金
    海外基金
    Research on Quantum Field Theory without a Lagrangian Description
    • 批准号:
      24ZR1403900
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
      SATOSHI NAWATA
    • 依托单位:
    Cell Research
    Cell Research
    Cell Research (细胞研究)