Collaborative Research: RAPID: Forest productivity and expression in a low-emissions present: A RAPID response to the COVID-19 Emissions Reduction Event

合作研究：RAPID：低排放情况下的森林生产力和表现：对 COVID-19 减排事件的快速响应

• 批准号: 2030862
• 负责人: Sean McMahon
• 金额: $ 10.69万
• 依托单位: Smithsonian Institution
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-15 至 2022-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2030862&HistoricalAwards=false
• 关键词: Collaborative; Research; RAPID; Forest; productivity

State and federal policies have significantly limited human activities to keep the U.S. population safe during the COVID-19 pandemic. This has resulted in a significant decrease of atmospheric inputs from the reduction in automobile and air travel. The unprecedented and dramatic reduction in traffic in major metropolitan areas where emissions are consistently high is transforming the atmosphere, even at continental scales. The COVID-19 event presents a unique, ephemeral, and rare opportunity to study how forests would respond to dramatically cleaner air in the United States. This award will explore how North American forests that have experienced a life-time of the byproducts of human transportation respond by examining responses from the genetic and molecular levels to the forest scale. The research will be conducted at a large forest plot near the Washington DC metropolitan area with a long history of forest research and adjacent to a National Ecological Observatory Network (NEON) tower. These linkages provide opportunities to scale the molecular research to potential ecosystem responses to emissions reduction efforts. The Education Office at Smithsonian Environmental Research Center (SERC), which works with thousands of high school students and their teachers every year will incorporate results into classroom activities at the SERC Education Center. Knowing how trees and forested ecosystems respond to a transformed atmosphere is critical for providing projections of the Earth system under ongoing global change. This proposal provides a unique opportunity to explore the potential consequences of future policy by evaluating what could happen if emissions were dramatically reduced. The project provides an unprecedented opportunity to study the impacts from the genomic, physiological, population, community, ecosystem level given the ongoing research at these levels and leveraging existing infrastructure and data provided by the Smithsonian (Forest GEO), US Forest Service (FIA plots), and NSF (NEON). The research will focus on gene expression profiles of two species (beech and red maple) to explore whether they will exhibit parallel shifts favoring maximal growth in all size classes compared to pre-Covid-19 conditions. The research will examine how leaf chlorophyll content at the end of the growing season will predict gene expression differences. The research will also explore gene pathways that deal with reactive oxidative stress (ROS) reactions, repair, and stress signaling and the physiological responses for growth and reproduction for this and next growing seasonThis 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.

在新冠肺炎大流行期间，州和联邦政策大大限制了人类活动，以确保美国人口的安全。这导致汽车和航空旅行的减少大大减少了大气投入。在排放量持续较高的主要大都市地区，交通流量史无前例的大幅减少正在改变大气，即使是在大陆范围内也是如此。新冠肺炎活动提供了一个独特的、短暂的、难得的机会，让我们研究森林将如何应对美国显著清洁的空气。该奖项将探索经历了人类运输副产品一生的北美森林如何通过检查从遗传和分子水平对森林规模的反应来做出反应。这项研究将在华盛顿特区大都市区附近的一块大林地进行，该区域具有悠久的森林研究历史，并毗邻国家生态观测网络(NEON)的塔楼。这些联系提供了将分子研究扩展到潜在的生态系统对减排努力的反应的机会。史密森环境研究中心(SERC)的教育办公室每年与数千名高中生和他们的老师合作，将结果纳入SERC教育中心的课堂活动中。了解树木和森林生态系统如何对变化的大气做出反应，对于在持续的全球变化下提供地球系统的预测至关重要。这项提案提供了一个独特的机会，通过评估如果大幅减少排放可能会发生的情况，来探索未来政策的潜在后果。该项目提供了一个前所未有的机会来研究基因组、生理、种群、社区、生态系统层面的影响，因为这些层面正在进行研究，并利用史密森(森林地质组织)、美国林业局(FIA Plots)和国家自然科学基金(NSF)提供的现有基础设施和数据。这项研究将集中在两个物种(山毛榉和红枫)的基因表达谱上，以探索与新冠肺炎之前的条件相比，它们是否会在所有大小类别中表现出有利于最大增长的平行转移。这项研究将研究生长季结束时叶片的叶绿素含量如何预测基因表达差异。这项研究还将探索处理反应氧化应激(ROS)反应、修复和压力信号的基因途径，以及本生长季和下一个生长季对生长和生殖的生理反应。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。