Collaborative Research: Unraveling connectivity constraints and pathways of Sargassum and the nature of their variability by building on a Maxey-Riley framework for drift modeling

合作研究：通过建立用于漂移建模的 Maxey-Riley 框架，揭示马尾藻的连通性约束和路径及其变异性的本质

• 批准号: 2148500
• 负责人: Nathan Putman
• 金额: $ 19.78万
• 依托单位: LGL ECOLOGICAL RESEARCH ASSOCIATES, INC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2148500&HistoricalAwards=false
• 关键词: Collaborative; Research; Unraveling; connectivity; constraints

Satellite imagery has revealed abundant pelagic Sargassum seaweed in the Sargasso Sea, the northwestern Gulf of Mexico and, in the last decade, a new recurrent zonal band, referred to as the Great Atlantic Sargassum Belt (GASB), often extending from the west coast of Africa to the Caribbean Sea. The magnitude of pelagic Sargassum in the tropical and subtropical Atlantic represents a new form of coastal hazard with direct impact on the water quality and living marine resources of the nearshore ecosystem. This project seeks to develop and implement a physical-biological transport model of Sargassum responding in a novel manner to the ocean and atmospheric circulations and changing environmental conditions. The model will account for the combined effects of ocean currents and wind drag mediated by Sargassum raft inertia, which will be a function of growth and mortality in response to ambient temperature and nutrient availability.This project would use first-principle-based Maxey–Riley framework of fluid mechanics for the study of inertial particle motion to develop a framework for modeling Sargassum drift. The investigators have extended and tested this application to investigating the drift of isolated objects floating at the ocean surface. This foundation, and further recent theoretical developments, will contribute to building a mechanistic physical–physiological model formulation for the movement of Sargassum rafts represented as networks of elastically interacting floating inertial particles whose configurations change according to a growth model. In the model, these changes in Sargassum raft size and shape will correspondingly affect their transport. The required carrying flow to conduct the proposed Sargassum connectivity investigation will be obtained from reanalysis systems and a multidata synthesis. The Sargassum transport model will be tested in the field by satellite tracking Sargassum rafts deployed in the Florida Current. Laboratory experiments in an air-water flume facility will be carried out to quantify buoyancy dependent leeway and constrain wave-induced drift effects. Tools for connectivity analysis and uncertainty quantification will be brought from ergodic nonlinear dynamics theory including set-oriented methods for framing asymptotically almost-invariant sets and the transition path theory for discrete Markov chains.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.

卫星图像揭示了萨尔加索海，墨西哥西北湾的大量sargassum海藻，以及在过去的十年中，一种新的经常性区域带，通常称为大大西洋萨尔加索姆腰带（GASB），通常从非洲西海岸延伸到加勒比海的西海岸。在热带和亚热带大西洋中的上层sargassum的大小是沿海危害的一种新形式，对近海生态系统的水质和生存海洋资源直接影响。该项目旨在开发和实施萨尔加苏姆的物理生物传输模型，以新颖的方式对海洋和大气环流以及不断变化的环境条件做出反应。该模型将解释由萨尔加斯木筏惯性介导的洋流和风力阻力的综合作用，这将是响应环境温度和营养可用性的生长和死亡率的函数。该项目将使用基于原则的Maxey-riley fluiid框架的流体机制来研究惯性粒子运动的研究，以开发框架来建模sargassum Drift。研究人员已经扩展并测试了该应用，以调查漂浮在海面的隔离物体的漂移。该基础以及进一步的理论发展将有助于建立一种机械物理 - 生理模型模型公式，以使Sargassum Rafts的运动表示为弹性相互作用的浮动惯性粒子网络，其构型根据增长模型而变化。在模型中，萨尔加斯木筏尺寸和形状的这些变化将相应地影响它们的运输。进行拟议的Sargassum连通性调查所需的载流流将从重新分析系统和多胎合成中获得。 Sargassum运输模型将通过卫星跟踪在佛罗里达电流中部署的Sargassum Rafts进行测试。将进行空气水水水槽设施中的实验室实验，以量化依赖浮力的余地和约束波诱导的漂移效应。连通性分析和不确定性量化的工具将从沿沿着沿沿着层次的非线性动力学理论带来，包括针对框架不对称的设置方法，几乎​​是不平化的集合以及离散马尔可夫链的过渡路径理论。本奖反映了NSF的法定任务，并通过使用基金会的智力来评估了诚实的支持。

项目成果

Improving satellite monitoring of coastal inundations of pelagic Sargassum algae with wind and citizen science data

利用风和公民科学数据改善对远洋马尾藻沿海淹没的卫星监测

• DOI: 10.1016/j.aquabot.2023.103672
• 发表时间: 2023
• 期刊: Aquatic Botany
• 影响因子: 1.8
• 作者: Putman, Nathan F.;Beyea, R. Taylor;Iporac, Lowell Andrew;Triñanes, Joaquin;Ackerman, Emilie G.;Olascoaga, Maria J.;Appendini, Christian M.;Arriaga, Jaime;Collado-Vides, Ligia;Lumpkin, Rick
• 通讯作者: Lumpkin, Rick

Sinking Sargassum

沉没的马尾藻

• DOI: 10.1029/2022gl100189
• 发表时间: 2022
• 期刊: Geophysical Research Letters
• 影响因子: 5.2
• 作者: Putman, Nathan F.;Hu, Chuanmin
• 通讯作者: Hu, Chuanmin