NSFGEO-NERC: Using Time-series Field Observations to Constrain an Ocean Iron Model

NSFGEO-NERC：使用时间序列现场观测来约束海洋铁模型

• 批准号: NE/S013547/1
• 负责人: Alessandro Tagliabue
• 金额: $ 25.61万
• 依托单位: University of Liverpool
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FS013547%2F1
• 关键词: NSFGEO; NERC; Using; Time; series

Iron is an essential nutrient for the growth of phytoplankton in the oceans. As such, iron plays key roles in regulating marine primary production and the cycling of carbon. It is thus important that models of ocean biology and chemistry consider iron, in order to explore past, present and future variations in marine productivity and the role of the ocean in the global carbon cycle. In this joint project involving researchers in the U.S. and the U.K., supported by both NSF and the Natural Environment Research Council (U.K.), field data from the Bermuda Atlantic Time-series Study (BATS) region will be combined with an established, state-of-the-art ocean biogeochemical model. By leveraging the known seasonal-scale physical, chemical and biological changes in the BATS region, the oceanographic context provided by the BATS core data, and an existing model of the regional physical circulation, the proposed study will yield process-related information that is of general applicability to the open ocean. In particular, the proposed research will focus on understanding the atmospheric input, biological uptake, regeneration and scavenging removal of dissolved iron in the oceanic water column, which have emerged as major uncertainties in the ocean iron cycle. The project will include significant educational and training contributions at the K-12, undergraduate, graduate and postdoctoral levels, as well as public outreach efforts that aim to explain the research and its importance.The ability of ocean models to simulate iron remains crude, owing to an insufficient understanding of the mechanisms that drive variability in dissolved iron, particularly the involvement of iron-binding ligands, colloids and particles in the surface input, biological uptake, regeneration and scavenging of dissolved iron in the upper ocean. Basin-scale data produced by the GEOTRACES program provide an important resource for testing and improving models and, by extension, our mechanistic understanding of the ocean iron cycle. However such data provide only quasi-synoptic 'snapshots', which limits their utility in isolating and identifying the processes that control dissolved iron in the upper ocean. The proposed research aims to provide mechanistic insight into these governing processes by combining time-series data from the BATS region with numerical modeling experiments. Specifically, seasonally resolved data on the vertical (upper 2,000 meters) and lateral (tens of kilometers) distributions of particulate, dissolved, colloidal, soluble and ligand-bound iron species will be obtained from the chemical analysis of water column samples collected during five cruises, spanning a full annual cycle, shared with the monthly BATS program cruises. These data, along with ancillary data from the BATS program, will be used to test and inform numerical modeling experiments, and thus derive an improved understanding of the mechanisms that control the distribution and dynamics of dissolved iron in the oceanic water column.

铁是海洋浮游植物生长的必需营养素。因此，铁在调节海洋初级生产和碳循环方面发挥着关键作用。因此，海洋生物学和化学模型必须考虑到铁，以探讨海洋生产力过去、现在和未来的变化以及海洋在全球碳循环中的作用。在这个涉及美国和英国研究人员的联合项目中，由NSF和自然环境研究理事会（英国）支持，百慕大大西洋时间序列研究区域的实地数据将与现有的最先进的海洋生物地球化学模型相结合。通过利用已知的季节尺度的物理，化学和生物变化的最佳可行技术区域，海洋环境提供的最佳可行技术核心数据，和现有的区域物理循环模型，拟议的研究将产生过程相关的信息，是普遍适用于公海。特别是，拟议的研究将侧重于了解海洋水柱中溶解铁的大气输入、生物吸收、再生和清除，这些都是海洋铁循环中的主要不确定因素。该项目将包括在K-12，本科生，研究生和博士后水平的重要教育和培训贡献，以及旨在解释研究及其重要性的公共宣传工作。海洋模型模拟铁的能力仍然很粗糙，这是由于对溶解铁变化的机制理解不足，特别是铁结合配体的参与，表面的胶体和颗粒输入、生物吸收、再生和上层海洋溶解铁的清除。GEOTRACES项目产生的盆地尺度数据为测试和改进模型提供了重要资源，并进一步为我们对海洋铁循环的机械理解提供了重要资源。然而，这样的数据只提供准天气的“快照”，这限制了他们的效用，在隔离和识别的过程中，控制溶解铁在海洋上层。拟议的研究旨在提供这些管理过程的机制洞察相结合的时间序列数据从BATS地区的数值模拟实验。具体来说，将通过对收集的水柱样本进行化学分析，获得颗粒、溶解、胶体、可溶和配体结合铁物种的垂直（上方2，000米）和横向（数十公里）分布的季节性解析数据。五次巡航期间，跨越一个完整的年度周期，与每月的BATS计划巡航共享。这些数据以及BATS计划的辅助数据将沿着用于测试和指导数值模拟实验，从而更好地了解控制海洋水体中溶解铁分布和动态的机制。

项目成果

Ocean iron fertilization may amplify climate change pressures on marine animal biomass for limited climate benefit.

海洋铁施肥可能会放大海洋动物生物量的气候变化压力，但气候效益有限。

• DOI: 10.1111/gcb.16854
• 发表时间: 2023
• 期刊: Global change biology
• 影响因子: 11.6
• 作者: Tagliabue A

Authigenic mineral phases as a driver of the upper-ocean iron cycle

自生矿物相作为上层海洋铁循环的驱动力

• DOI: 10.1038/s41586-023-06210-5
• 发表时间: 2023
• 期刊: Nature
• 影响因子: 64.8
• 作者: Tagliabue, Alessandro;Buck, Kristen N.;Sofen, Laura E.;Twining, Benjamin S.;Aumont, Olivier;Boyd, Philip W.;Caprara, Salvatore;Homoky, William B.;Johnson, Rod;König, Daniela
• 通讯作者: König, Daniela

Atmospheric Input and Seasonal Inventory of Dissolved Iron in the Sargasso Sea: Implications for Iron Dynamics in Surface Waters of the Subtropical Ocean

• DOI: 10.1029/2022gl102594
• 发表时间: 2023-03
• 期刊: Geophysical Research Letters
• 影响因子: 5.2
• 作者: P. Sedwick;B. Sohst;K. Buck;S. Caprara;R. Johnson;D. Ohnemus;L. E. Sofen;A. Tagliabue;B. Twining;T. Williams

Examining the interaction between free-living bacteria and iron in the global ocean

研究全球海洋中自由生活的细菌和铁之间的相互作用

• DOI: 10.1002/essoar.10508036.1
• 发表时间: 2021
• 作者: Pham A

Dissolved iron in the Bermuda region of the subtropical North Atlantic Ocean: Seasonal dynamics, mesoscale variability, and physicochemical speciation

北大西洋副热带百慕大地区的溶解铁：季节动态、中尺度变化和物理化学形态

• DOI: 10.1016/j.marchem.2019.103748
• 发表时间: 2020
• 期刊: Marine Chemistry
• 影响因子: 3
• 作者: Sedwick, P.N.;Bowie, A.R.;Church, T.M.;Cullen, J.T.;Johnson, R.J.;Lohan, M.C.;Marsay, C.M.;McGillicuddy, D.J.;Sohst, B.M.;Tagliabue, A.
• 通讯作者: Tagliabue, A.