Collaborative Research: MSA: Development and Validation of a Continuous Soil Respiration Product at Core Terrestrial NEON Sites
Collaborative Research: MSA: Development and Validation of a Continuous Soil Respiration Product at Core Terrestrial NEON Sites
批准号:
2017860
负责人:
Naupaka Zimmerman
金额:
$19.91万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2024-08-31
中文摘要
土壤中含有地球上大量的碳。这些碳以二氧化碳(CO2)的形式释放的速度取决于许多因素,包括土壤微生物活动和环境特征的变化。测量从土壤到大气的二氧化碳排放量是模拟和理解全球环境变化所需的基本组成部分。NSF支持的国家生态观测网络(NEON)对所有必需的成分进行连续测量,以确定给定地点的土壤碳通量(碳积累率与二氧化碳排放量之间的平衡)。该项目的研究人员将计算美国大陆20个霓虹灯核心站点的土壤通量,并将其与其他现有数据库进行交叉比较。研究人员还将在主要是本科院校(PUI)招聘5名教师,用于一系列教学、同行指导和教育者发展活动中的教师培训队列。这一队列将导致教职员工和本科生更多地参与现有的霓虹灯数据和生态研究。在与招聘教师的合作下,研究人员将开发一系列生物学教育模块,估计每年将影响数百名本科生。教师队伍还将致力于专业发展,重点是扩大不同本科生和研究人员的参与。NEON基础设施包括土壤传感器阵列,记录计算连续土壤二氧化碳通量的所有必要组件。作为一种更高级别的数据产品,提供计算的土壤二氧化碳通量值是霓虹灯数据广泛寻求的应用。该项目将通过开发和现场验证免费可用的R程序包来填补这一数据空白,该程序包可以轻松快速地计算任何核心地面霓虹灯站点的土壤二氧化碳通量。研究人员将通过直接测量、与现有土壤呼吸数据库进行地面真实测量来验证结果,并将土壤通量数据产品应用于建模和数据同化,以对中心核心霓虹点的土壤生物地球化学模型进行参数化。在这个项目的第三年,研究人员将从主要是本科生机构(PUI)招募五名教师,以参与教师指导队列。参与的教员将:(1)共同组成一个指导队列,为本科生改进和试验大系统环境科学的教育模块,从而在大系统生态学的教学中建立实践网络;(2)为验证土壤二氧化碳通量数据产品做出贡献,从而培养他们在仪器、数据分析以及利用霓虹灯站点和数据产品方面的技术技能;以及(3)培养他们的跨文化能力技能,提高他们指导来自代表性不足背景的本科生研究人员的能力,从而努力使环境科学及其STEM工作人员多样化。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Soils contain a large amount of the Earth's carbon. The rate at which this carbon gets released as carbon dioxide (CO2) depends on a number of factors, including changes in soil microbial activity and environmental characteristics. Measuring the rates of CO2 emission from the soil to the atmosphere is an essential component needed to model and understand global environmental change. The NSF-supported National Ecological Observatory Network (NEON) makes continuous measurements of all the required components to determine soil carbon flux (the balance between the rate of carbon buildup vs. discharge as CO2) at a given site. The researchers in this project will compute soil flux at each of the twenty core NEON sites across the continental U.S. and cross-reference them with other existing databases. The researchers will also recruit five faculty at primarily undergraduate institutions (PUIs) for a faculty training cohort in a suite of instruction, peer mentorship, and educator development activities. This cohort will result in greater engagement of faculty and undergraduate students with existing NEON data and ecology research. In collaboration with the recruited faculty, the researchers will develop a series of education modules in biology that is estimated to impact several hundred undergraduate students annually. The faculty cohort will also engage in professional development focused on broadening participation among diverse undergraduate students and researchers.NEON infrastructure includes soil sensor arrays that record all the necessary components for calculating continuous soil CO2 flux. The delivery of computed soil CO2 flux values as a higher-level data product is a widely-sought application of NEON data. This project will fill this data gap by developing and field-validating a freely available R package to easily and rapidly calculate soil CO2 flux at any core terrestrial NEON site. The researchers will validate the results through direct measurements, ground-truthing the measurements against existing soil respiration databases, and apply the soil flux data product in modeling and data assimilation to parameterize soil biogeochemical models at a focal core NEON site. During the third year of this project, the researchers will recruit five faculty from primarily undergraduate institutions (PUIs) to engage in a faculty mentoring cohort. Participating faculty will: (1) join together in a mentoring cohort to refine and pilot education modules in macrosystems environmental science for undergraduate students, thus building networks of practice in the teaching of macrosystems ecology; (2) contribute to the validation of the soil CO2 flux data product, thus building their technical skills in instrumentation, data analysis, and facility with NEON sites and data products; and (3) develop their intercultural competency skills, increasing their ability to mentor undergraduate researchers from underrepresented backgrounds, thus working towards diversifying environmental science and its STEM workforce.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.
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CyberTraining: Implementation: Medium: Collaborative Research: Computational and Data-Centric Ecology Training
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批准号:2118305
-
项目类别:Standard Grant
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资助金额:$7.95万
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财政年份:2022
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负责人:Naupaka Zimmerman
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依托单位:
国内基金
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