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NNA: Collaborative Research: Interactions of the Microbial Iron and Methane Cycles in the Tundra Ecosystem

NNA: Collaborative Research: Interactions of the Microbial Iron and Methane Cycles in the Tundra Ecosystem
NNA:合作研究:苔原生态系统中微生物铁和甲烷循环的相互作用
批准号:
1754358
负责人:
David Emerson
金额:
$77.17万
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:
2018-10-01 至 2024-09-30

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中文摘要
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英文摘要
There is great concern about changing conditions in the Arctic due to environmental transformations that are impacting tundra and its underlying permafrost. At the same time there are major gaps in our understanding of tundra/permafrost microbiology and elemental cycling. Filling these knowledge gaps will enable a better overall understanding of the tundra, and can provide crucial information about how this globally important, but fragile ecosystem will respond to change. The particular knowledge gap this research will fill centers around iron and the bacteria that control its availability. Iron is an essential micro-nutrient for animals, plants, and microbes. It also serves as a growth substrate for certain groups of bacteria, many of which fix carbon dioxide to grow. Some of these bacteria directly compete with other groups of microbes that produce or consume methane, the atmospheric concentration of which is continuing to increase. It is particularly important to understand the dynamics of carbon dioxide and methane in the Arctic because there is a large amount of organic carbon stored in permafrost that could be converted into these two gases. The research team consists of a microbial ecologist with considerable experience in iron cycling bacteria; a mathematical modeler who will quantify the relative impacts of different microbial processes, and a tundra ecologist with extensive experience in elemental cycling in permafrost environments. This project will, for the first time, systematically characterize and quantify microbial communities responsible for iron cycling in the tundra/permafrost of Alaska?s North Slope, and increase our understanding of how these microbes interact with the carbon cycle by suppressing methane production. The basic supposition of this research is that conditions in the Arctic are beneficial to an active iron cycle because the shallow depth permafrost prevents ferrous iron-laden waters from percolating into deep aquifers (a common route for iron removal from temperate ecosystems). Furthermore, cool water temperatures slow the chemical oxidation of iron, and a short, but intense growing season provides a source of labile carbon that helps fuel iron reduction. These ideas will be tested by conducting field and laboratory studies at the Toolik Field Station on the North Slope of Alaska. Previous work has revealed there are extensive populations of iron-oxidizing and iron-reducing bacteria associated with microbial iron mats in this region, but in general, little is known about their diversity or function. This work will utilize cultivation-independent, amplicon-based community analysis and metagenomics to further characterize community diversity and function among these chemosynthetic communities. The team will measure methane production at tundra sites with high rates of iron cycling and compare these to sites that are similar in terms of hydrology and landform, but have lower rates of iron-cycling to assess the direct impact of the iron cycle on methane production and consumption. The microbiomes of these sites will also be compared using molecular analysis. In addition to these field measurements, the researchers will construct a laboratory microcosm that can be seeded with soils and microbial iron mats collected from Toolik. This will allow controlled conditions to simulate interactions of the iron and methane cycles under conditions where key parameters such as iron and oxygen concentrations can be controlled. From both field and laboratory data a reaction-based model will be developed using a series of kinetic equations. These will form the basis for a predictive model that can estimate the suppressive effects of iron cycling on methane production. In terms of broader impacts, the work will provide unique opportunities for training undergraduate, and graduate students, as well as a postdoctoral researcher, in combining field, laboratory, and modelling based science to fill an important gap in our knowledge of the tundra ecosystem. To broaden public outreach two artists will be engaged to create a unique art-science dialog that will broaden the interpretation of the project results, and provide museum quality creative work that can be displayed in either science or art exhibits.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(3)
专著(0)
科研奖励(0)
会议论文
Spatial distribution and biogeochemistry of redox active species in arctic sedimentary porewaters and seeps
北极沉积孔隙水和渗漏中氧化还原活性物质的空间分布和生物地球化学
DOI: 10.1039/d1em00505g
发表时间: 2022
期刊: Environmental Science: Processes & Impacts
影响因子: --
作者: [Hudson, Jeffrey M., Michaud, Alexander B., Emerson, David, Chin, Yu-Ping]
通讯作者: Chin, Yu-Ping
Microbial iron cycling is prevalent in water-logged Alaskan Arctic tundra habitats, but sensitive to disturbance
微生物铁循环在淹水的阿拉斯加北极苔原栖息地中普遍存在,但对干扰敏感
DOI: 10.1093/femsec/fiad013
发表时间: 2023
期刊: FEMS Microbiology Ecology
影响因子: 4.2
作者: [Michaud, Alexander B., Massé, Rémi O., Emerson, David]
通讯作者: Emerson, David
Overwinter oxygen and silicate dynamics in a high Arctic lake (Immerk Lake, Devon Island, Canada)
北极高海拔湖泊(加拿大德文岛伊默克湖)的越冬氧气和硅酸盐动态
DOI: 10.1080/20442041.2022.2063623
发表时间: 2022
期刊: Inland Waters
影响因子: 3.1
作者: [Michaud, Alexander B., Apollonio, Spencer]
通讯作者: Apollonio, Spencer
A holistic framework for hybrid modelling of solid-liquid flows
Collaborative Research: The Role of Iron-oxidizing Bacteria in the Sedimentary Iron Cycle: Ecological, Physiological and Biogeochemical Implications
HIGH PERFORMANCE COMPUTING SUPPORT FOR UNITED KINGDOM CONSORTIUM ON TURBULENT REACTING FLOWS (UKCTRF)
Future-proof massively-parallel execution of multi-block applications
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