CAREER: Geochemical and functional controls of methane-mediating microbes in Amazon peatlands

职业：亚马逊泥炭地甲烷介导微生物的地球化学和功能控制

• 批准号: 1749252
• 负责人: Hinsby Cadillo-Quiroz
• 金额: $ 65万
• 依托单位: Arizona 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: 2018-12-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1749252&HistoricalAwards=false
• 关键词: CAREER; Geochemical; functional; controls; methane

This CAREER project will examine how microorganisms influence the production and consumption of methane gas in Amazon peatlands. The research will fill an important knowledge gap in the study of tropical ecosystems and is important for a better understanding of regional to global environmental change. Creating a predictive model to understand methane cycling in ecosystems will impact environmental sciences, ecosystem management and regional atmospheric predictions. Also, this research has key educational goals and outreach efforts that will bridge research, education and societal participation. Building on Inquiry Based Learning (IBL) teaching and training approaches, this project will generate continuous training and research activity tools centered on studying microorganisms. All education products will be broadly accessible via online platforms. The project will also increase participation of undergraduate students from underrepresented groups in research and biological science activities. Finally, the project will promote international collaboration and participation of the public in environmental studies involving microorganisms, including the research process and sharing of scientific results on tropical environments.Amazon peatlands are key regional contributors of methane flux currently and in the past, however little is known about the activity of their methane-mediating microbes or how the geochemical characteristics of seasonal flooding events affect methane flux rates. The hypotheses to be tested in this study include: i) methane flux is a process where the strength and predictiveness of biological and environmental controls vary according to the spatial scale in study; and ii) trait based microbial modeling increases accuracy in CH4 flux predictions at variable spatial scales and variable Amazon flood periods. These hypotheses will be addressed by linking the microbial distribution and the determination of peatland soil geochemical niches before and after Amazon annual floods, by isolating and testing the functional capacities of CH4-mediating microbes at standard or simulated "flood" conditions, and by developing a trait-based model to integrate geochemical and microbe functional limits on CH4 flux at local (meter) or broader (kilometer) spatial scales. Multiple products including geospatial mapping of microbes and niches, catalogs of functional traits in Amazon microbes, and trait based modeling will be integrated in a site-specific model inclusive of the physiological and geochemical controls on methane cycling microbes from contrasting Amazon peatlands. Educational Inquiry-based learning products for undergraduate education and broad society participation will also be developed and be made publicly available to further the contribution and dissemination of results from this work.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.

这个CAREER项目将研究微生物如何影响亚马逊泥炭地甲烷气体的生产和消费。 这项研究将填补热带生态系统研究中的一个重要知识空白，对于更好地了解区域到全球的环境变化非常重要。创建一个预测模型来了解生态系统中的甲烷循环将影响环境科学，生态系统管理和区域大气预测。此外，这项研究有关键的教育目标和推广工作，将桥梁研究，教育和社会参与。该项目以探究式学习（IBL）的教学和培训方法为基础，将产生以研究微生物为中心的持续培训和研究活动工具。 所有教育产品都将通过在线平台广泛提供。该项目还将增加代表性不足群体的本科生参与研究和生物科学活动。最后，该项目将促进国际合作和公众参与涉及微生物的环境研究，包括研究过程和分享热带环境的科学成果，亚马逊泥炭地是目前和过去甲烷通量的主要区域贡献者，尽管我们对甲烷的活性知之甚少介导微生物或季节性洪水事件的地球化学特征如何影响甲烷通量率。在这项研究中要测试的假设包括：i）甲烷通量是一个过程中，生物和环境控制的强度和预测性根据研究中的空间尺度而变化;和ii）基于性状的微生物建模在可变的空间尺度和可变的亚马逊洪水期增加CH4通量预测的准确性。这些假设将通过以下方式来解决：将微生物分布与亚马逊年度洪水前后泥炭地土壤地球化学生态位的确定联系起来，在标准或模拟"洪水"条件下分离和测试CH4介导微生物的功能能力，并通过开发一个基于特征的模型，在当地（米）或更广泛的（公里）空间尺度上整合地球化学和微生物功能限制的CH4通量。包括微生物和生态位的地理空间映射，亚马逊微生物功能性状目录和基于性状的建模在内的多个产品将集成到一个特定地点的模型中，包括对来自亚马逊泥炭地甲烷循环微生物的生理和地球化学控制。此外，还将开发面向本科生教育和广泛社会参与的基于教育探究的学习产品，并将其公之于众，以进一步促进这项工作成果的贡献和传播。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。