EAR-PF: Mapping Belowground Processes Using Remotely Measured Foliar Chemistry

EAR-PF：使用远程测量的叶面化学来绘制地下过程图

• 批准号: 1725788
• 负责人: Katherine Chadwick
• 金额: $ 8.7万
• 依托单位: Chadwick Katherine D
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1725788&HistoricalAwards=false
• 关键词: EAR; PF; Mapping; Belowground; Processes

Dr. Katherine D. Chadwick has been granted an NSF EAR Postdoctoral Fellowship to carry out research and education plans at Stanford University and Lawrence Berkeley National Laboratory. Building on recent developments of airborne-based measurements of the chemistry of leaves (foliar chemistry), Dr. Chadwick will develop the methodology to remotely map soil organic carbon and nutrient profiles. This methodology will be of interest to those that need to determine inventories of subsurface carbon and nutrient stocks for scientific or management questions. The datasets derived from this project could be used to test models of soil carbon stocks and turnover and help to develop methodology for large-scale land surface models. The education activities will focus on mentoring two undergraduate students in research projects related to the investigation. No geophysical, geochemical, or remote sensing approaches currently exist that can map below ground soil carbon or nutrient composition over large spatial scales, requiring most studies to rely on point sampling and intensive characterization methods combined with uncertain spatial extrapolations. The ability to remotely assess soil carbon and key nutrient stocks using above ground measures will allow for spatially explicit estimates of soil carbon inventories and their relationship to landscape position, lithology, soil moisture, aspect, and other remotely measurable parameters. In addition, building a link between remotely detectable characteristics of vegetation and subsurface properties will open a window into the spatial distribution of critical zone processes and how they interact over spatial scales currently not feasible to study.

凯瑟琳·D·查德威克博士获得了NSF EAR博士后奖学金，在斯坦福大学和劳伦斯·伯克利国家实验室开展研究和教育计划。查德威克博士将在基于空气的叶片化学(叶化学)测量的最新发展的基础上，开发远程绘制土壤有机碳和养分剖面的方法。对于那些需要为科学或管理问题确定地下碳和营养储量清单的人来说，这种方法将是有意义的。该项目得到的数据集可用于检验土壤碳储量和周转的模型，并有助于开发大规模陆面模型的方法学。教育活动将重点指导两名本科生参与与调查相关的研究项目。目前还没有地球物理、地球化学或遥感方法可以在大的空间尺度上绘制地下土壤碳或养分组成的地图，这要求大多数研究依赖于点采样和密集的表征方法，并结合不确定的空间外推。使用地面措施远程评估土壤碳和关键养分储量的能力将允许在空间上明确地估计土壤碳储量及其与景观位置、岩性、土壤湿度、坡向和其他可遥感测量参数的关系。此外，在可遥感探测的植被特征和地下特性之间建立联系，将为了解关键地带过程的空间分布以及它们如何在空间尺度上相互作用打开一扇窗，目前尚不可行对其进行研究。