CAREER: Characterizing Climate Change Feedbacks in Arctic Ponds while Incorporating Next-Generation Technologies and Arctic Field Experiences in Education

湿地是北极景观的重要组成部分，其特点是有许多多边形的解冻池。这些北极池塘栖息地是生物多样性和碳循环的热点。特别是，池塘是甲烷（CH 4）的主要排放者，甲烷是一种加剧气候变化的强效温室气体。该项目将描述北极湿地池塘在区域陆地-大气碳交换中的作用，估计它们对大气的甲烷贡献，并评估它们在过去50年中的变化，以更好地预测它们在北极碳循环和气候反馈中的未来作用。该项目还有两个主要的教育组成部分：（1）培训来自代表性不足的群体的下一代科学家，以设计和领导旨在加深对北极系统的理解的北极实地考察;（2）将虚拟现实，无人机传感器和机器学习纳入教育，以提高STEM和极地科学的参与度。这些学生与技术的互动将激发创造力和创新，为他们提供学术和行业职位的竞争优势。该项目的更广泛影响包括与阿拉斯加土著社区的夏季外联活动，以及学生设计的一本通过制图视角描绘北极景观、土著社区和气候变化威胁的相册。尽管池塘对区域CH 4预算很重要，但它们一般都没有得到充分的研究，因此在北极和全球CH 4估计和地球系统模型中的代表性不足。因此，目前尚不清楚它们的演变将如何影响未来的陆地-大气碳交换和对气候的潜在反馈。这项研究将（1）建立多边形池塘的表面-大气碳动力学的基础认识，（2）表征CH 4排放的时间和途径，（3）解开池塘在气候变化及其碳影响下的演变。使用包括涡动协方差通量系统、无人机机载成像光谱、无人机激光雷达和深度学习人工智能在内的尖端技术，将使我们能够表征北极池塘自下而上和自上而下的区域尺度甲烷排放。此外，这项研究将拯救历史记录，以更好地了解过去50年来池塘的生物地球化学变化，以回答这些水生系统的演变在何处，何时以及如何影响地表-大气碳反馈到气候。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

Wetlands represent a significant portion of the Arctic landscape and are characterized by their numerous polygonal thaw ponds. These Arctic pond habitats are hotspots for biodiversity and carbon cycling. Particularly, ponds are key emitters of methane (CH4), a potent greenhouse gas that enhances climate change. This project will characterize the role of Arctic wetland ponds in regional land-atmosphere carbon exchange, estimate their contributions of CH4 to the atmosphere, and assess how they have changed over the past 50 years to better anticipate their future role in Arctic carbon cycling and feedbacks to climate. This project also has two major educational components: (1) train the next generation of scientists from underrepresented groups to design and lead Arctic fieldwork intended to deepen understanding of the Arctic system and (2) incorporate virtual reality, drone sensors, and machine learning into education to improve engagement in STEM and Polar Sciences. These student-technology interactions will spur creativity and innovation, providing them with a competitive edge for academic and industry positions. The broader impacts of the project include summer outreach activities with Alaskan Indigenous communities and a photo book design by students that portrays Arctic landscapes, Indigenous communities, and the threats of climate change through a cartographic perspective. The book will communicate and promote awareness about the Arctic region to a general audience.Despite their importance to regional CH4 budgets, ponds have been generally understudied and thus, underrepresented in Arctic and global CH4 estimates and earth system models. Therefore, it is unknown how their evolution will impact future land-atmosphere carbon exchange and potential feedbacks to climate. This study will (1) establish a foundational understanding of surface-atmosphere carbon dynamics of polygonal ponds, (2) characterize the timing and pathways of CH4 emissions, and (3) unravel the evolution of ponds under climate change and its carbon implications. The use of cutting-edge technologies including eddy-covariance flux system, drone & airborne imaging spectroscopy, drone LIDAR, and deep-learning Artificial Intelligence will allow us to characterize bottom-up and top-down regional scale CH4 emissions from arctic ponds. In addition, this study will rescue historical records to better understand biogeochemical changes of ponds over the past 50 years to answer where, when, and how the evolution of these aquatic systems has influenced surface-atmosphere carbon feedbacks to climate.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.