RAPID: Quantifying the potential impacts of the BP Deepwater Horizon oil spill on carbon services of salt marshes along the northern Gulf Coast

RAPID：量化 BP 深水地平线漏油事件对墨西哥湾北部沿岸盐沼碳服务的潜在影响

• 批准号: 1048342
• 负责人: Wei Wu
• 金额: $ 10.89万
• 依托单位: University of Southern Mississippi
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-15 至 2012-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1048342&HistoricalAwards=false
• 关键词: RAPID; Quantifying; potential; impacts; BP

Factors at multiple spatial scales can influence photosynthesis in marsh habitats, from the species and conditions of individual plants, to the microsite variation in non-living and living resources, to the broader landscape-scale effects of tidal ranges, river inputs and oil spills. This project will study spatial patterns in photosynthesis of salt marsh plants which have been and will potentially be impacted by the BP Deepwater Horizon oil spill along the northern Gulf Coast. The investigators will test the hypothesis that salt marshes under higher stresses will be less resilient to oil spill disturbance. A stochastic modeling approach (Hierarchical Bayesian models) will be applied to address the research question. Its ability to quantify uncertainties and reduce uncertainties by assimilating new data makes it powerful approach. The investigators will develop a scalable and transferrable methodology that can be used in river-dominated salt marsh ecosystems around the nation. It will advance the understanding of disturbance effects on ecosystem dynamics, and can be used to guide future research and management efforts in assessing long-term impacts and recovery of marshes impacted by oil spills. In addition, the project is expected to facilitate more informed wetland restoration plans at the impacted areas on the Gulf coast. This project will provide enriching and supportive educational experiences for two graduate students who will learn the basic techniques necessary to obtain and manage field based environmental data, and updated modeling techniques.

从单个植物的物种和条件到非生存和生存资源的微材料变化，再到潮汐范围，河流投入和溢油的景观尺度效应，从多个空间尺度上的因素会影响沼泽栖息地的光合作用。该项目将研究盐沼植物的光合作用的空间模式，这些盐沼泽植物已经并且有可能受到北湾沿岸的BP Deepwater Horizo​​n漏油的影响。研究人员将检验以下假设：较高应力下的盐沼对漏油障碍的弹性较小。将应用一种随机建模方法（分层贝叶斯模型）来解决研究问题。它通过吸收新数据来量化不确定性并减少不确定性的能力使其具有强大的方法。研究人员将开发一种可扩展的可转让方法，该方法可用于全国各地的河流盐沼泽生态系统。它将提高人们对生态系统动力学影响的理解，并可用于指导未来的研究和管理工作，以评估长期影响和恢复受溢油影响的沼泽。此外，该项目有望促进墨西哥湾沿岸受影响地区的知情湿地恢复计划。该项目将为两位研究生提供丰富和支持的教育经验，他们将学习获得和管理基于现场的环境数据以及更新的建模技术所需的基本技术。