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

基本信息

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

项目摘要

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.

铁是海洋中浮游植物生长的必不可少的营养。因此，铁在调节海洋初级生产和碳循环中起关键作用。因此，重要的是，海洋生物学和化学模型考虑铁，以探索海洋生产率的过去，现在和未来变化以及海洋在全球碳循环中的作用。在NSF和自然环境研究委员会（英国）支持美国和英国研究人员的联合项目中，百慕大大西洋时间序列研究（BATS）地区的现场数据将与已建立的，最先进的，最先进的海洋生物地球化学模型相结合。通过利用蝙蝠区域中已知的季节性物理，化学和生物学变化，由蝙蝠核心数据提供的海洋学环境以及区域物理循环的现有模型，拟议的研究将产生与过程相关的信息，这些信息对公开海洋具有一般适用性。尤其是，拟议的研究将集中于了解大气输入，生物学吸收，再生和清除海洋水柱中溶解的铁的去除，这已成为海洋铁循环中的主要不确定性。该项目将包括在K-12，本科，研究生和博士后水平上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。模拟铁的能力仍然是粗略的，这是由于对散发性的构成构成的机制不足，尤其是在构成层面的生物界面，以及互动的ligand ligigand ligigands cromants，促进了综合的机制，这些机制不足在上海洋中吸收，再生和清除溶解的铁。 Geotraces计划生产的盆地规模数据为测试和改进模型提供了重要资源，并扩展了我们对海洋铁循环的机械理解。然而，这样的数据仅提供准合成的“快照”，这限制了它们的效用，以隔离和识别控制上海洋中溶解铁的过程。拟议的研究旨在通过将蝙蝠区域的时间序列数据与数值建模实验相结合，从而为这些管理过程提供机械洞察力。具体而言，将从五个巡航期间收集的水柱样品的化学分析，与每年的bat bats计划一起共享的水柱样品中，将获得有关垂直（上限2,000米）和颗粒，溶解，胶体，可溶性和配体的颗粒，溶解，胶体，可溶性和配体的铁物种的季节性解决数据。这些数据以及来自蝙蝠计划的辅助数据将用于测试和告知数值建模实验，从而得出了对控制海洋水柱中溶解铁的分布和动态的机制的改进理解。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

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
通讯作者：
Tagliabue A

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
通讯作者：
P. Sedwick;B. Sohst;K. Buck;S. Caprara;R. Johnson;D. Ohnemus;L. E. Sofen;A. Tagliabue;B. Twining;T. Williams

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

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.

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