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5. Integrated Ocean Management

Author

Winther, Jan-Gunnar, Dai, Minhan, Douvere, Fanny, Fernandes, Leanne, Halpin, Patrick, Hoel, Alf Håkon, Juinio-Meñez, Marie Antonette, Li, Yangfan, Morrissey, Karyn, Rist, Therese, Scarano, Fabio Rubio, Trice, Amy, Unger, Sebastian, Whitehouse, Sandra, Lubchenco, Jane, editor, and Haugan, Peter M., editor

Published
2023
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10. A Global Ocean Oxygen Database and Atlas for Assessing and Predicting Deoxygenation and Ocean Health in the Open and Coastal Ocean

Author

Grégoire, Marilaure, Garçon, Véronique, Garcia, Hernan, Breitburg, Denise, Isensee, Kirsten, Oschlies, Andreas, Telszewski, Maciej, Barth, Alexander, Bittig, Henry C, Carstensen, Jacob, Carval, Thierry, Chai, Fei, Chavez, Francisco, Conley, Daniel, Coppola, Laurent, Crowe, Sean, Currie, Kim, Dai, Minhan, Deflandre, Bruno, Dewitte, Boris, Diaz, Robert, Garcia-Robledo, Emilio, Gilbert, Denis, Giorgetti, Alessandra, Glud, Ronnie, Gutierrez, Dimitri, Hosoda, Shigeki, Ishii, Masao, Jacinto, Gil, Langdon, Chris, Lauvset, Siv K, Levin, Lisa A, Limburg, Karin E, Mehrtens, Hela, Montes, Ivonne, Naqvi, Wajih, Paulmier, Aurélien, Pfeil, Benjamin, Pitcher, Grant, Pouliquen, Sylvie, Rabalais, Nancy, Rabouille, Christophe, Recape, Virginie, Roman, Michaël, Rose, Kenneth, Rudnick, Daniel, Rummer, Jodie, Schmechtig, Catherine, Schmidtko, Sunke, Seibel, Brad, Slomp, Caroline, Sumalia, U Rashid, Tanhua, Toste, Thierry, Virginie, Uchida, Hiroshi, Wanninkhof, Rik, and Yasuhara, Moriaki

Subjects
Earth Sciences, Oceanography, Life Below Water, oxygen, atlas, database, observing, mapping, data-products, open and coastal ocean, deoxygenation, Ecology, Geology
Abstract

In this paper, we outline the need for a coordinated international effort toward the building of an open-access Global Ocean Oxygen Database and ATlas (GO2DAT) complying with the FAIR principles (Findable, Accessible, Interoperable, and Reusable). GO2DAT will combine data from the coastal and open ocean, as measured by the chemical Winkler titration method or by sensors (e.g., optodes, electrodes) from Eulerian and Lagrangian platforms (e.g., ships, moorings, profiling floats, gliders, ships of opportunities, marine mammals, cabled observatories). GO2DAT will further adopt a community-agreed, fully documented metadata format and a consistent quality control (QC) procedure and quality flagging (QF) system. GO2DAT will serve to support the development of advanced data analysis and biogeochemical models for improving our mapping, understanding and forecasting capabilities for ocean O2 changes and deoxygenation trends. It will offer the opportunity to develop quality-controlled data synthesis products with unprecedented spatial (vertical and horizontal) and temporal (sub-seasonal to multi-decadal) resolution. These products will support model assessment, improvement and evaluation as well as the development of climate and ocean health indicators. They will further support the decision-making processes associated with the emerging blue economy, the conservation of marine resources and their associated ecosystem services and the development of management tools required by a diverse community of users (e.g., environmental agencies, aquaculture, and fishing sectors). A better knowledge base of the spatial and temporal variations of marine O2 will improve our understanding of the ocean O2 budget, and allow better quantification of the Earth’s carbon and heat budgets. With the ever-increasing need to protect and sustainably manage ocean services, GO2DAT will allow scientists to fully harness the increasing volumes of O2 data already delivered by the expanding global ocean observing system and enable smooth incorporation of much higher quantities of data from autonomous platforms in the open ocean and coastal areas into comprehensive data products in the years to come. This paper aims at engaging the community (e.g., scientists, data managers, policy makers, service users) toward the development of GO2DAT within the framework of the UN Global Ocean Oxygen Decade (GOOD) program recently endorsed by IOC-UNESCO. A roadmap toward GO2DAT is proposed highlighting the efforts needed (e.g., in terms of human resources).

Published
2021

14. Coastal Pollution

Author

Wang, Guizhi, Li, Xiaolin, Humphries, Marc, Chinni, Venkatesh, Uthaipan, Khanittha, Dai, Minhan, Urban Jr., Edward R., editor, and Ittekkot, Venugopalan, editor

Published
2022
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16. A new 2-D Model to analyze uncertainty sources of sparse sea surface CO2 partial pressure

Author

Li, Xiang, Dai, Minhan, and Wang, Guizhi

Subjects
Physics - Atmospheric and Oceanic Physics
Abstract

In order to better comprehend the global carbon cycle and predict the prognosis for the response to climate change, accurate assessment of sea-air CO2 flux is necessary. Comparing to the relative homogeneously distribution of atmospheric CO2 , the pCO2 in the sea surface water is exposed to huge spatio-temporal variability, which leaves a prominent uncertainty resource. Many regional studies typically divided the observational pCO2 data into grid boxes so as to obtain enough data points statistically for their calculatio. However, using the data inside the grid box areas to represent its holistic property (such as standard deviation to represent spatial variance) will mix up three different uncertainty sources. First, the analytical error in the pCO2 determination and the associated environmental parameters used in deriving pCO2 . Second, the spatial variance because of inhomogenous spatial pattern of sea surface pCO2 , especially the region with a dramatically dynamic circumstance like: coastal areas, boundaries or fronts and etc. Third, the estimation process in undersampling condition, specifically, this kind of uncertainty origins from the process that using a sparse data to represent its holistic property of the box area. Common uncertainty quantification by Standard Deviation will mix up the different sources of uncertainty. In this paper, it introduces an optimized procedure to determine three sources of uncertainty (1st analytical error, 2nd spatial variance, 3rd bias from undersampling.) using the combined remote sensing-derived and field-measured pCO2 data. In order to provide a comprehensive error assessment report.

Published
2018

23. Corrigendum to “The interactions between host genome and gut microbiome increase the risk of psychiatric disorders: Mendelian randomization and biological annotation” [Brain, behav. Immun., 113 october (2023) 389–400]

Author

Xiao, Liling, primary, Liu, Siyi, additional, Wu, Yulu, additional, Huang, Yunqi, additional, Tao, Shiwan, additional, Liu, Yunjia, additional, Tang, Yiguo, additional, Xie, Min, additional, Ma, Qianshu, additional, Yin, Yubing, additional, Dai, Minhan, additional, Zhang, Mengting, additional, Llamocca, Elyse, additional, Gui, Hongsheng, additional, and Wang, Qiang, additional

Published
2024
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35. Switches between nitrogen limitation and nitrogen–phosphorus co‐limitation in the subtropical North Atlantic Ocean

Author

Yuan, Zhongwei, Achterberg, Eric P., Engel, Anja, Dai, Minhan, Browning, Thomas J., Yuan, Zhongwei, Achterberg, Eric P., Engel, Anja, Dai, Minhan, and Browning, Thomas J.

Abstract

Concentrations of bioavailable inorganic nitrogen (N) and phosphorus (P) are simultaneously depleted in the (sub)tropical North Atlantic Ocean, but it remains unclear if phytoplankton growth rates are N limited or N–P co‐limited. Here we present findings from three bottle‐scale experiments using a four‐by‐four matrix of low‐level N and P additions, conducted at one site in the subtropical North Atlantic Ocean. Phytoplankton responses were assessed both in terms of bulk chlorophyll a (Chl a ) concentrations and intracellular Chl a of dominant Prochlorococcus and Synechococcus groups. Two matrix experiments suggested that N was independently limiting in situ growth, with no co‐limiting role for P, while the third showed co‐limitation by both N and P in this region. This switch from N limitation to N–P co‐limitation was attributed to an episodic wet deposition event that supplied N, thereby stimulating phytoplankton growth and consuming available P. Such rapid transitions in nutrient limitation in response to environmental forcing might be common in oceanic systems with multiple depleted nutrients.

Published
2024
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36. A Synthesis of Global Coastal Ocean Greenhouse Gas Fluxes

Author

Resplandy, Laure LR, Hogikyan, A., Müller, Jens Daniel, Najjar, Raymond R.G., Hermann, W. Bange, Bianchi, Daniele, Weber, T., Cai, Wei-Jun, Doney, S. C., Fennel, Katja, Gehlen, Marion, Hauck, J., Lacroix, Fabrice, Landschutzer, Peter, Le Quéré, Corinne, Roobaert, Alizée, Schwinger, J., Berthet, Sarah, Bopp, Laurent, Chau, Thi T. T., Dai, Minhan, Gruber, Nicolas, Ilyina, Tatiana, Kock, A., Manizza, M., Lachkar, Z., Laruelle, Goulven Gildas, Liao, Enhui EL, Lima, I. D., Nissen, C, Rödenbeck, Christian, Séférian, Roland, Toyama, K., Tsujino, H., Regnier, Pierre A.G., Resplandy, Laure LR, Hogikyan, A., Müller, Jens Daniel, Najjar, Raymond R.G., Hermann, W. Bange, Bianchi, Daniele, Weber, T., Cai, Wei-Jun, Doney, S. C., Fennel, Katja, Gehlen, Marion, Hauck, J., Lacroix, Fabrice, Landschutzer, Peter, Le Quéré, Corinne, Roobaert, Alizée, Schwinger, J., Berthet, Sarah, Bopp, Laurent, Chau, Thi T. T., Dai, Minhan, Gruber, Nicolas, Ilyina, Tatiana, Kock, A., Manizza, M., Lachkar, Z., Laruelle, Goulven Gildas, Liao, Enhui EL, Lima, I. D., Nissen, C, Rödenbeck, Christian, Séférian, Roland, Toyama, K., Tsujino, H., and Regnier, Pierre A.G.

Abstract

The coastal ocean contributes to regulating atmospheric greenhouse gas concentrations by taking up carbon dioxide (CO2) and releasing nitrous oxide (N2O) and methane (CH4). In this second phase of the Regional Carbon Cycle Assessment and Processes (RECCAP2), we quantify global coastal ocean fluxes of CO2, N2O and CH4 using an ensemble of global gap-filled observation-based products and ocean biogeochemical models. The global coastal ocean is a net sink of CO2 in both observational products and models, but the magnitude of the median net global coastal uptake is ∼60% larger in models (−0.72 vs. −0.44 PgC year−1, 1998–2018, coastal ocean extending to 300 km offshore or 1,000 m isobath with area of 77 million km2). We attribute most of this model-product difference to the seasonality in sea surface CO2 partial pressure at mid- and high-latitudes, where models simulate stronger winter CO2 uptake. The coastal ocean CO2 sink has increased in the past decades but the available time-resolving observation-based products and models show large discrepancies in the magnitude of this increase. The global coastal ocean is a major source of N2O (+0.70 PgCO2-e year−1 in observational product and +0.54 PgCO2-e year−1 in model median) and CH4 (+0.21 PgCO2-e year−1 in observational product), which offsets a substantial proportion of the coastal CO2 uptake in the net radiative balance (30%–60% in CO2-equivalents), highlighting the importance of considering the three greenhouse gases when examining the influence of the coastal ocean on climate., info:eu-repo/semantics/published

Published
2024

39. Changes in isotope fractionation during nitrate assimilation by marine eukaryotic and prokaryotic algae under different pH and CO2 conditions.

Author

Chen, Yawen, Yang, Jin‐Yu Terence, Tang, Jin‐Ming, Hong, Haizheng, Kao, Shuh‐Ji, Dai, Minhan, and Shi, Dalin

Subjects
CYANOBACTERIA, ISOTOPIC fractionation, NITRATES, OCEAN acidification, MARINE algae, PARTIAL pressure, NITROGEN cycle
Abstract

The impact of environmental factors on nitrogen (N) and oxygen (O) isotope effects during algal nitrate assimilation causes uncertainty in the field application of sedimentary N isotope records and nitrate isotopes to understand the marine nitrogen cycle. Ocean acidification is predicted to change nitrogen cycling including nitrate assimilation, but how N and O isotope effects during algal nitrate assimilation vary in response to changes in seawater pH and partial pressure CO2 (pCO2) remains unknown. We measured N and O isotope effects during nitrate assimilation and physiological states of the marine diatom Thalassiosira weissflogii and Synechococcus under different pH (8.1 or 7.8) and pCO2 (400 or 800 μatm) conditions. Low pH and/or high pCO2 equally decreased N and O isotope effects during nitrate assimilation by diatoms possibly due to reducing cellular nitrate efflux/uptake ratio and decreased isotope effects for nitrate uptake, whereas they did not affect those by Synechococcus with low intracellular nitrate concentration and limited nitrate efflux. Our results provide compelling experimental evidence showing different changes in N and O isotope effects during nitrate assimilation by marine eukaryotic and prokaryotic phytoplankton at low pH and/or high pCO2. These findings suggest new insight into environmental controls on variability in the isotope effect during algal nitrate assimilation, and have implications for improving a predictive understanding of N and O isotope tools in acidified oceans. [ABSTRACT FROM AUTHOR]

Published
2024
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