CAS-Climate: Acquisition of Eddy Covariance Towers for Assessing Spatial and Temporal Variability in Greenhouse Gas Emissions from Coastal Wetlands in California

该合同将支持购买涡度协方差塔和碳酸盐化学传感器，以持续监测埃尔克霍恩斯劳的温室气体排放和横向碳通量。斯劳是国家河口保护区，也是加州最大的沿海潮汐湿地，位于旧金山弗朗西斯科海湾三角洲之外。涡动协方差法是当今估算气体通量的首选技术，它允许计算季节性和年度排放量和清单。获得的数据将存入AmeriFlux数据库，有助于更好地限制这些系统的碳预算，并允许外推到其他沿海湿地。这些成果还将使地球系统模型能够与基于可靠排放数据的沿海/潮汐湿地排放的现实预测相结合。该项目将提供量化信息，使当地社区和政策管理人员能够了解恢复湿地固碳和增强其他生态系统服务的成本效益。它将提高我们对控制沿海湿地温室气体排放过程的理解，有助于决策的信息以及将沿海湿地管理项目引入碳市场的融资和方法指导。该项目还将为当地代表性不足的学生提供暑期实习机会，使用与他们直接相关的真实数据在现场工作，从而扩大他们的气候和数据素养。此外，我们还将开发和提供一门关于数据素养的课程，学生将使用来自塔（和其他站点）的真实数据来磨练他们的数据和建模技能。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。

This award will support the acquisition of eddy covariance towers and carbonate chemistry sensors to continuously monitor greenhouse gas emissions and lateral carbon fluxes at Elkhorn Slough – a National Estuarine Reserve site and the largest coastal tidal wetland in California outside the San Francisco Bay-Delta. The eddy covariance method is the preferred technique today for estimating gas fluxes which permits calculation of seasonal and annual emissions and inventories. Data obtained will be deposited in the AmeriFlux database and will contribute to better constrain the carbon budget in these systems and allow for extrapolation to other coastal wetlands. The outcomes will also enable coupling of Earth System Models with realistic predictions emissions from coastal/tidal wetlands based on reliable emission data. This project will provide quantitative information that will enable local communities and policy managers to understand the cost-benefits of restoring wetlands to sequester carbon and enhance other ecosystem services. It will improve our understanding on the processes that control greenhouse gas emissions from coastal wetlands, information that will help decision-making and the financing and methodological guidance for introducing coastal wetland management projects into carbon markets. The project also will provide summer internship opportunities for local under-represented students to work at the site using authentic data directly relevant to them and hence expanding their climate and data literacy. In addition, we will develop and offer a course on data literacy in which students will use authentic data from the towers (and other sites) to hone their data and modeling skills.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.