| 项目编号: | 1613325
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| 项目名称: | Can improving predictions of soil oxygen dynamics increase understanding of greenhouse gas hotspots and hot moments? |
| 作者: | Terrance Loecke
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| 承担单位: | University of Kansas Center for Research Inc
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| 批准年: | 2014
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| 开始日期: | 2015-10-22
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| 结束日期: | 2018-05-31
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| 资助金额: | USD699254
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| 资助来源: | US-NSF
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| 项目类别: | Continuing grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Biological Sciences - Environmental Biology
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| 英文关键词: | soil oxygen
; greenhouse gas
; soil oxygen concentration
; project
; soil property
; hot moment
; soil water contents
; measurement
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| 英文摘要: | The amount of oxygen in a soil affects many ecosystem processes, including the release of greenhouse gases such as nitrous oxide, methane and carbon dioxide. However, soil oxygen concentrations are rarely directly measured in research projects because they are difficult and expensive to measure accurately. Better understanding of the controls over soil oxygen could help guide land restoration projects that result in a greater removal of greenhouse gases from the atmosphere. The new technologies and approaches proposed in this project could lower the cost and enable easier measurements of soil oxygen, which could help reduce the financial burden of reducing greenhouse gas emissions in the future. This project will add to the national scientific capacity through support of four early career scientists and the interdisciplinary training of a postdoctoral student. The scientists will also enhance undergraduate research experiences. An important broader impact will be a partnership among land managers and the scientists involved to develop a continuing education program aimed at providing opportunities for citizens to engage in climate-friendly projects for the restoration of local ecosystems.
Soil oxygen concentrations are usually estimated using computer models based on soil properties that are easier to measure, particularly soil water contents. But measurements made in prior research indicate that directly measured soil oxygen levels differ considerably from modeled soil oxygen levels. In fact, current computer models cannot predict the rapid changes in soil oxygen that are observed in wetlands, where the production of greenhouse gases is particularly high compared to other types of ecosystems. Mismatches between models and measurements may occur because in actual ecosystems the emission of greenhouse gases may not be constant across space and time, but likely occur under specific environmental circumstances that are particularly difficult to identify and keep track of (called hot spots or hot moments). This project will measure emissions in relation to hot spots and moments along transects running from abandoned agricultural lands into adjacent creeks at an established research site near Dayton, Ohio. Success requires high-resolution measurements of soil oxygen concentrations in space and time. This is a major challenge, but if successful, the project will critically contribute to the assessment of greenhouse gas fluxes from local ecosystems, as well as their incorporation into large-scale climate models. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/93103
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| Appears in Collections: | 影响、适应和脆弱性
气候减缓与适应
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| Recommended Citation: | |
Terrance Loecke. Can improving predictions of soil oxygen dynamics increase understanding of greenhouse gas hotspots and hot moments?. 2014-01-01.
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