Articles | Volume 22, issue 13
https://doi.org/10.5194/bg-22-3181-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-22-3181-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jul 2025
Research article |
| 03 Jul 2025
| 03 Jul 2025
Acidification, warming, and nutrient management are projected to cause reductions in shell and tissue weights of oysters in a coastal plain estuary
Catherine R. Czajka
CORRESPONDING AUTHOR
Virginia Institute of Marine Science, William & Mary, Gloucester Point, VA 23062, USA
Marjorie A. M. Friedrichs
Virginia Institute of Marine Science, William & Mary, Gloucester Point, VA 23062, USA
Emily B. Rivest
Virginia Institute of Marine Science, William & Mary, Gloucester Point, VA 23062, USA
Pierre St-Laurent
Virginia Institute of Marine Science, William & Mary, Gloucester Point, VA 23062, USA
Mark J. Brush
Virginia Institute of Marine Science, William & Mary, Gloucester Point, VA 23062, USA
Department of Geosciences, Princeton University, Princeton, NJ 08544, USA
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Seyi Ajayi, Raymond Najjar, Emily Rivest, Ryan Woodland, Marjorie A. M. Friedrichs, Pierre St-Laurent, and Spencer Davis
EGUsphere, https://doi.org/10.5194/egusphere-2025-1315, https://doi.org/10.5194/egusphere-2025-1315, 2025
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Even though bottom-dwelling animals in coastal waters are well studied, their impact on carbon cycling is unclear. We analyzed thousands of bivalves in Chesapeake Bay to understand what shapes their distribution and role in carbon movement. Bivalves were most abundant in shallow, low-salinity waters with moderate oxygen and high nitrate. They use 17–50 % of available carbon in the Upper Bay, and their carbon dioxide output exceeds what escapes into the air, highlighting their ecosystem impact.
Kyle E. Hinson, Marjorie A. M. Friedrichs, Raymond G. Najjar, Maria Herrmann, Zihao Bian, Gopal Bhatt, Pierre St-Laurent, Hanqin Tian, and Gary Shenk
Biogeosciences, 20, 1937–1961, https://doi.org/10.5194/bg-20-1937-2023, https://doi.org/10.5194/bg-20-1937-2023, 2023
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Climate impacts are essential for environmental managers to consider when implementing nutrient reduction plans designed to reduce hypoxia. This work highlights relative sources of uncertainty in modeling regional climate impacts on the Chesapeake Bay watershed and consequent declines in bay oxygen levels. The results demonstrate that planned water quality improvement goals are capable of reducing hypoxia levels by half, offsetting climate-driven impacts on terrestrial runoff.
Melissa Ward, Tye L. Kindinger, Heidi K. Hirsh, Tessa M. Hill, Brittany M. Jellison, Sarah Lummis, Emily B. Rivest, George G. Waldbusser, Brian Gaylord, and Kristy J. Kroeker
Biogeosciences, 19, 689–699, https://doi.org/10.5194/bg-19-689-2022, https://doi.org/10.5194/bg-19-689-2022, 2022
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Here, we synthesize the results from 62 studies reporting in situ rates of seagrass metabolism to highlight spatial and temporal variability in oxygen fluxes and inform efforts to use seagrass to mitigate ocean acidification. Our analyses suggest seagrass meadows are generally autotrophic and variable in space and time, and the effects on seawater oxygen are relatively small in magnitude.
Pierre St-Laurent, Marjorie A. M. Friedrichs, Raymond G. Najjar, Elizabeth H. Shadwick, Hanqin Tian, and Yuanzhi Yao
Biogeosciences, 17, 3779–3796, https://doi.org/10.5194/bg-17-3779-2020, https://doi.org/10.5194/bg-17-3779-2020, 2020
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Over the past century, estuaries have experienced global (atmospheric CO2 concentrations and temperature) and regional changes (river inputs, land use), but their relative impact remains poorly known. In the Chesapeake Bay, we find that global and regional changes have worked together to enhance how much atmospheric CO2 is taken up by the estuary. The increased uptake is roughly equally due to the global and regional changes, providing crucial perspective for managers of the bay's watershed.
Isaac D. Irby, Marjorie A. M. Friedrichs, Fei Da, and Kyle E. Hinson
Biogeosciences, 15, 2649–2668, https://doi.org/10.5194/bg-15-2649-2018, https://doi.org/10.5194/bg-15-2649-2018, 2018
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We use an estuarine-watershed modeling system of the Chesapeake Bay to examine the impact climate change may have on the ability of nutrient reduction regulations to increase dissolved oxygen. We find that climate change will move the onset of hypoxia ~7 days earlier, while also decreasing oxygen in the bay primarily due to increased temperature. While this effect is smaller than the increase in oxygen due to nutrient reduction, it is enough to limit the regulation's future effectiveness.
Daniel E. Kaufman, Marjorie A. M. Friedrichs, John C. P. Hemmings, and Walker O. Smith Jr.
Biogeosciences, 15, 73–90, https://doi.org/10.5194/bg-15-73-2018, https://doi.org/10.5194/bg-15-73-2018, 2018
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Computer simulations of the highly variable phytoplankton in the Ross Sea demonstrated how incorporating data from different sources (satellite, ship, or glider) results in different system interpretations. For example, simulations assimilating satellite-based data produced lower carbon export estimates. Combining observations with models in this remote, harsh, and biologically variable environment should include consideration of the potential impacts of data frequency, duration, and coverage.
Julia M. Moriarty, Courtney K. Harris, Katja Fennel, Marjorie A. M. Friedrichs, Kehui Xu, and Christophe Rabouille
Biogeosciences, 14, 1919–1946, https://doi.org/10.5194/bg-14-1919-2017, https://doi.org/10.5194/bg-14-1919-2017, 2017
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In coastal aquatic environments, resuspension of sediment and organic material from the seabed into the overlying water can impact biogeochemistry. Here, we used a novel modeling approach to quantify this impact for the Rhône River delta. In the model, resuspension increased oxygen consumption during individual resuspension events, and when results were averaged over 2 months. This implies that observations and models that only represent calm conditions may underestimate net oxygen consumption.
Isaac D. Irby, Marjorie A. M. Friedrichs, Carl T. Friedrichs, Aaron J. Bever, Raleigh R. Hood, Lyon W. J. Lanerolle, Ming Li, Lewis Linker, Malcolm E. Scully, Kevin Sellner, Jian Shen, Jeremy Testa, Hao Wang, Ping Wang, and Meng Xia
Biogeosciences, 13, 2011–2028, https://doi.org/10.5194/bg-13-2011-2016, https://doi.org/10.5194/bg-13-2011-2016, 2016
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A comparison of eight hydrodynamic-oxygen models revealed that while models have difficulty resolving key drivers of dissolved oxygen (DO) variability, all models exhibit skill in reproducing the variability of DO itself. Further, simple oxygen models and complex biogeochemical models reproduced observed DO variability similarly well. Future advances in hypoxia simulations will depend more on the ability to reproduce the depth of the mixed layer than the degree of the vertical density gradient.
Y. Xiao and M. A. M. Friedrichs
Biogeosciences, 11, 3015–3030, https://doi.org/10.5194/bg-11-3015-2014, https://doi.org/10.5194/bg-11-3015-2014, 2014
Related subject area
Biogeochemistry: Modelling, Aquatic
Modeling the contribution of micronekton diel vertical migrations to carbon export in the mesopelagic zone
Mixing, spatial resolution and argon saturation in a suite of coupled general ocean circulation biogeochemical models off Mauritania
Efficiency metrics for ocean alkalinity enhancements under responsive and prescribed atmospheric pCO2 conditions
Changes in Arctic Ocean plankton community structure and trophic dynamics on seasonal to interannual timescales
Global impact of benthic denitrification on marine N2 fixation and primary production simulated by a variable-stoichiometry Earth system model
Killing the predator: impacts of highest-predator mortality on the global-ocean ecosystem structure
Hydrodynamic and biochemical impacts on the development of hypoxia in the Louisiana–Texas shelf – Part 1: roles of nutrient limitation and plankton community
Validation of the coupled physical–biogeochemical ocean model NEMO–SCOBI for the North Sea–Baltic Sea system
Investigating ecosystem connections in the shelf sea environment using complex networks
Seasonal and interannual variability of the pelagic ecosystem and of the organic carbon budget in the Rhodes Gyre (eastern Mediterranean): influence of winter mixing
How much do bacterial growth properties and biodegradable dissolved organic matter control water quality at low flow?
Methane emissions from Arctic landscapes during 2000–2015: an analysis with land and lake biogeochemistry models
Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model–data comparison and impact on the ocean carbon cycle
Riverine impact on future projections of marine primary production and carbon uptake
Subsurface oxygen maximum in oligotrophic marine ecosystems: mapping the interaction between physical and biogeochemical processes
Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach
Assessing the spatial and temporal variability of methylmercury biogeochemistry and bioaccumulation in the Mediterranean Sea with a coupled 3D model
Hydrodynamic and biochemical impacts on the development of hypoxia in the Louisiana–Texas shelf – Part 2: statistical modeling and hypoxia prediction
Modelling the effects of benthic fauna on carbon, nitrogen and phosphorus dynamics in the Baltic Sea
Improved prediction of dimethyl sulfide (DMS) distributions in the northeast subarctic Pacific using machine-learning algorithms
Nutrient transport and transformation in macrotidal estuaries of the French Atlantic coast: a modeling approach using the Carbon-Generic Estuarine Model
A modelling study of temporal and spatial pCO2 variability on the biologically active and temperature-dominated Scotian Shelf
Modeling the marine chromium cycle: new constraints on global-scale processes
New insights into large-scale trends of apparent organic matter reactivity in marine sediments and patterns of benthic carbon transformation
Evaluation of ocean dimethylsulfide concentration and emission in CMIP6 models
Zooplankton mortality effects on the plankton community of the northern Humboldt Current System: sensitivity of a regional biogeochemical model
Multi-compartment kinetic–allometric (MCKA) model of radionuclide bioaccumulation in marine fish
Impact of bottom trawling on sediment biogeochemistry: a modelling approach
Cyanobacteria blooms in the Baltic Sea: a review of models and facts
Arctic Ocean acidification over the 21st century co-driven by anthropogenic carbon increases and freshening in the CMIP6 model ensemble
Modeling silicate–nitrate–ammonium co-limitation of algal growth and the importance of bacterial remineralization based on an experimental Arctic coastal spring bloom culture study
Role of jellyfish in the plankton ecosystem revealed using a global ocean biogeochemical model
Extreme event waves in marine ecosystems: an application to Mediterranean Sea surface chlorophyll
Use of optical absorption indices to assess seasonal variability of dissolved organic matter in Amazon floodplain lakes
The role of sediment-induced light attenuation on primary production during Hurricane Gustav (2008)
Quantifying spatiotemporal variability in zooplankton dynamics in the Gulf of Mexico with a physical–biogeochemical model
One size fits all? Calibrating an ocean biogeochemistry model for different circulations
Assessing the temporal scale of deep-sea mining impacts on sediment biogeochemistry
Seasonal patterns of surface inorganic carbon system variables in the Gulf of Mexico inferred from a regional high-resolution ocean biogeochemical model
Oxygen dynamics and evaluation of the single-station diel oxygen model across contrasting geologies
Oceanic CO2 outgassing and biological production hotspots induced by pre-industrial river loads of nutrients and carbon in a global modeling approach
Global trends in marine nitrate N isotopes from observations and a neural network-based climatology
Merging bio-optical data from Biogeochemical-Argo floats and models in marine biogeochemistry
Model constraints on the anthropogenic carbon budget of the Arctic Ocean
Modeling oceanic nitrate and nitrite concentrations and isotopes using a 3-D inverse N cycle model
Biogeochemical response of the Mediterranean Sea to the transient SRES-A2 climate change scenario
Modelling the biogeochemical effects of heterotrophic and autotrophic N2 fixation in the Gulf of Aqaba (Israel), Red Sea
A perturbed biogeochemistry model ensemble evaluated against in situ and satellite observations
Diazotrophy as the main driver of the oligotrophy gradient in the western tropical South Pacific Ocean: results from a one-dimensional biogeochemical–physical coupled model
Causes of simulated long-term changes in phytoplankton biomass in the Baltic proper: a wavelet analysis
Hélène Thibault, Frédéric Ménard, Jeanne Abitbol-Spangaro, Jean-Christophe Poggiale, and Séverine Martini
Biogeosciences, 22, 2181–2200, https://doi.org/10.5194/bg-22-2181-2025, https://doi.org/10.5194/bg-22-2181-2025, 2025
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Micronekton significantly impact oceanic carbon transport yet are often overlooked. Using a trait-based model, we simulated their diel vertical migrations and carbon production, revealing size, taxonomy, light, and primary production as key factors. In temperate regions, micronekton greatly influenced the transport efficiency in summer. Future research must focus on micronekton metabolism and dynamics, considering global warming and their potential exploitation.
Heiner Dietze and Ulrike Löptien
Biogeosciences, 22, 1215–1236, https://doi.org/10.5194/bg-22-1215-2025, https://doi.org/10.5194/bg-22-1215-2025, 2025
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We introduce argon saturation as a prognostic variable in a suite of coupled general ocean circulation biogeochemical models off Mauritania. Our results indicate that the effect of increasing the spatial horizontal model resolutions from 12 km to 1.5 km leads to changes comparable to other infamous spurious effects of state-of-the-art numerical advection numerics.
Michael D. Tyka
Biogeosciences, 22, 341–353, https://doi.org/10.5194/bg-22-341-2025, https://doi.org/10.5194/bg-22-341-2025, 2025
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Marine CO2 removal (mCDR) is a promising technology for removing legacy emissions from the atmosphere. Its indirect nature makes it difficult to assess experimentally; instead one relies heavily on simulation. Many past papers have treated the atmosphere as non-responsive to the intervention studied. We show that even under these simplified assumptions, the increase in ocean CO2 inventory is equal to the equivalent quantity of direct CO2 removals occurring over time, in a realistic atmosphere.
Gabriela Negrete-García, Jessica Y. Luo, Colleen M. Petrik, Manfredi Manizza, and Andrew D. Barton
Biogeosciences, 21, 4951–4973, https://doi.org/10.5194/bg-21-4951-2024, https://doi.org/10.5194/bg-21-4951-2024, 2024
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The Arctic Ocean experiences significant seasonal and year-to-year changes, impacting marine plankton populations. Using a plankton community model, we studied these effects on plankton communities and their influence on fish production. Our findings revealed earlier plankton blooms, shifts towards more carnivorous zooplankton, and increased fishery potential during summertime, especially in warmer years with less ice, highlighting the delicate balance of Arctic ecosystems.
Na Li, Christopher J. Somes, Angela Landolfi, Chia-Te Chien, Markus Pahlow, and Andreas Oschlies
Biogeosciences, 21, 4361–4380, https://doi.org/10.5194/bg-21-4361-2024, https://doi.org/10.5194/bg-21-4361-2024, 2024
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N is a crucial nutrient that limits phytoplankton growth in large ocean areas. The amount of oceanic N is governed by the balance of N2 fixation and denitrification. Here we incorporate benthic denitrification into an Earth system model with variable particulate stoichiometry. Our model compares better to the observed surface nutrient distributions, marine N2 fixation, and primary production. Benthic denitrification plays an important role in marine N and C cycling and hence the global climate.
David Talmy, Eric Carr, Harshana Rajakaruna, Selina Våge, and Anne Willem Omta
Biogeosciences, 21, 2493–2507, https://doi.org/10.5194/bg-21-2493-2024, https://doi.org/10.5194/bg-21-2493-2024, 2024
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The structure of plankton communities is central to global cycles of carbon, nitrogen, and other elements. This study explored the sensitivity of different assumptions about highest-predator mortality in ecosystem models with contrasting food web structures. In the context of environmental data, we find support for models assuming a density-dependent mortality of the highest predator, irrespective of assumed food web structure.
Yanda Ou and Z. George Xue
Biogeosciences, 21, 2385–2424, https://doi.org/10.5194/bg-21-2385-2024, https://doi.org/10.5194/bg-21-2385-2024, 2024
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Developed for the Gulf of Mexico (2006–2020), a 3D hydrodynamic–biogeochemical model validated against in situ data reveals the impact of nutrients and plankton diversity on dissolved oxygen dynamics. It highlights the role of physical processes, sediment oxygen consumption, and nutrient distribution in shaping bottom oxygen levels and hypoxia. The model underscores the importance of complex plankton interactions for understanding primary production and hypoxia evolution.
Itzel Ruvalcaba Baroni, Elin Almroth-Rosell, Lars Axell, Sam T. Fredriksson, Jenny Hieronymus, Magnus Hieronymus, Sandra-Esther Brunnabend, Matthias Gröger, Ivan Kuznetsov, Filippa Fransner, Robinson Hordoir, Saeed Falahat, and Lars Arneborg
Biogeosciences, 21, 2087–2132, https://doi.org/10.5194/bg-21-2087-2024, https://doi.org/10.5194/bg-21-2087-2024, 2024
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The health of the Baltic and North seas is threatened due to high anthropogenic pressure; thus, different methods to assess the status of these regions are urgently needed. Here, we validated a novel model simulating the ocean dynamics and biogeochemistry of the Baltic and North seas that can be used to create future climate and nutrient scenarios, contribute to European initiatives on de-eutrophication, and provide water quality advice and support on nutrient load reductions for both seas.
Ieuan Higgs, Jozef Skákala, Ross Bannister, Alberto Carrassi, and Stefano Ciavatta
Biogeosciences, 21, 731–746, https://doi.org/10.5194/bg-21-731-2024, https://doi.org/10.5194/bg-21-731-2024, 2024
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A complex network is a way of representing which parts of a system are connected to other parts. We have constructed a complex network based on an ecosystem–ocean model. From this, we can identify patterns in the structure and areas of similar behaviour. This can help to understand how natural, or human-made, changes will affect the shelf sea ecosystem, and it can be used in multiple future applications such as improving modelling, data assimilation, or machine learning.
Joelle Habib, Caroline Ulses, Claude Estournel, Milad Fakhri, Patrick Marsaleix, Mireille Pujo-Pay, Marine Fourrier, Laurent Coppola, Alexandre Mignot, Laurent Mortier, and Pascal Conan
Biogeosciences, 20, 3203–3228, https://doi.org/10.5194/bg-20-3203-2023, https://doi.org/10.5194/bg-20-3203-2023, 2023
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The Rhodes Gyre, eastern Mediterranean Sea, is the main Levantine Intermediate Water formation site. In this study, we use a 3D physical–biogeochemical model to investigate the seasonal and interannual variability of organic carbon dynamics in the gyre. Our results show its autotrophic nature and its high interannual variability, with enhanced primary production, downward exports, and onward exports to the surrounding regions during years marked by intense heat losses and deep mixed layers.
Masihullah Hasanyar, Thomas Romary, Shuaitao Wang, and Nicolas Flipo
Biogeosciences, 20, 1621–1633, https://doi.org/10.5194/bg-20-1621-2023, https://doi.org/10.5194/bg-20-1621-2023, 2023
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The results of this study indicate that biodegradable dissolved organic matter is responsible for oxygen depletion at low flow during summer seasons when heterotrophic bacterial activity is so intense. Therefore, the dissolved organic matter must be well measured in the water monitoring networks in order to have more accurate water quality models. It also advocates for high-frequency data collection for better quantification of the uncertainties related to organic matter.
Xiangyu Liu and Qianlai Zhuang
Biogeosciences, 20, 1181–1193, https://doi.org/10.5194/bg-20-1181-2023, https://doi.org/10.5194/bg-20-1181-2023, 2023
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We are among the first to quantify methane emissions from inland water system in the pan-Arctic. The total CH4 emissions are 36.46 Tg CH4 yr−1 during 2000–2015, of which wetlands and lakes were 21.69 Tg yr−1 and 14.76 Tg yr−1, respectively. By using two non-overlap area change datasets with land and lake models, our simulation avoids small lakes being counted twice as both lake and wetland, and it narrows the gap between two different methods used to quantify regional CH4 emissions.
Corentin Clerc, Laurent Bopp, Fabio Benedetti, Meike Vogt, and Olivier Aumont
Biogeosciences, 20, 869–895, https://doi.org/10.5194/bg-20-869-2023, https://doi.org/10.5194/bg-20-869-2023, 2023
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Gelatinous zooplankton play a key role in the ocean carbon cycle. In particular, pelagic tunicates, which feed on a wide size range of prey, produce rapidly sinking detritus. Thus, they efficiently transfer carbon from the surface to the depths. Consequently, we added these organisms to a marine biogeochemical model (PISCES-v2) and evaluated their impact on the global carbon cycle. We found that they contribute significantly to carbon export and that this contribution increases with depth.
Shuang Gao, Jörg Schwinger, Jerry Tjiputra, Ingo Bethke, Jens Hartmann, Emilio Mayorga, and Christoph Heinze
Biogeosciences, 20, 93–119, https://doi.org/10.5194/bg-20-93-2023, https://doi.org/10.5194/bg-20-93-2023, 2023
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We assess the impact of riverine nutrients and carbon (C) on projected marine primary production (PP) and C uptake using a fully coupled Earth system model. Riverine inputs alleviate nutrient limitation and thus lessen the projected PP decline by up to 0.7 Pg C yr−1 globally. The effect of increased riverine C may be larger than the effect of nutrient inputs in the future on the projected ocean C uptake, while in the historical period increased nutrient inputs are considered the largest driver.
Valeria Di Biagio, Stefano Salon, Laura Feudale, and Gianpiero Cossarini
Biogeosciences, 19, 5553–5574, https://doi.org/10.5194/bg-19-5553-2022, https://doi.org/10.5194/bg-19-5553-2022, 2022
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The amount of dissolved oxygen in the ocean is the result of interacting physical and biological processes. Oxygen vertical profiles show a subsurface maximum in a large part of the ocean. We used a numerical model to map this subsurface maximum in the Mediterranean Sea and to link local differences in its properties to the driving processes. This emerging feature can help the marine ecosystem functioning to be better understood, also under the impacts of climate change.
Michael R. Stukel, Moira Décima, and Michael R. Landry
Biogeosciences, 19, 3595–3624, https://doi.org/10.5194/bg-19-3595-2022, https://doi.org/10.5194/bg-19-3595-2022, 2022
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The biological carbon pump (BCP) transports carbon into the deep ocean, leading to long-term marine carbon sequestration. It is driven by many physical, chemical, and ecological processes. We developed a model of the BCP constrained using data from 11 cruises in 4 different ocean regions. Our results show that sinking particles and vertical mixing are more important than transport mediated by vertically migrating zooplankton. They also highlight the uncertainty in current estimates of the BCP.
Ginevra Rosati, Donata Canu, Paolo Lazzari, and Cosimo Solidoro
Biogeosciences, 19, 3663–3682, https://doi.org/10.5194/bg-19-3663-2022, https://doi.org/10.5194/bg-19-3663-2022, 2022
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Methylmercury (MeHg) is produced and bioaccumulated in marine food webs, posing concerns for human exposure through seafood consumption. We modeled and analyzed the fate of MeHg in the lower food web of the Mediterranean Sea. The modeled spatial–temporal distribution of plankton bioaccumulation differs from the distribution of MeHg in surface water. We also show that MeHg exposure concentrations in temperate waters can be lowered by winter convection, which is declining due to climate change.
Yanda Ou, Bin Li, and Z. George Xue
Biogeosciences, 19, 3575–3593, https://doi.org/10.5194/bg-19-3575-2022, https://doi.org/10.5194/bg-19-3575-2022, 2022
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Over the past decades, the Louisiana–Texas shelf has been suffering recurring hypoxia (dissolved oxygen < 2 mg L−1). We developed a novel prediction model using state-of-the-art statistical techniques based on physical and biogeochemical data provided by a numerical model. The model can capture both the magnitude and onset of the annual hypoxia events. This study also demonstrates that it is possible to use a global model forecast to predict regional ocean water quality.
Eva Ehrnsten, Oleg Pavlovitch Savchuk, and Bo Gustav Gustafsson
Biogeosciences, 19, 3337–3367, https://doi.org/10.5194/bg-19-3337-2022, https://doi.org/10.5194/bg-19-3337-2022, 2022
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We studied the effects of benthic fauna, animals living on or in the seafloor, on the biogeochemical cycles of carbon, nitrogen and phosphorus using a model of the Baltic Sea ecosystem. By eating and excreting, the animals transform a large part of organic matter sinking to the seafloor into inorganic forms, which fuel plankton blooms. Simultaneously, when they move around (bioturbate), phosphorus is bound in the sediments. This reduces nitrogen-fixing plankton blooms and oxygen depletion.
Brandon J. McNabb and Philippe D. Tortell
Biogeosciences, 19, 1705–1721, https://doi.org/10.5194/bg-19-1705-2022, https://doi.org/10.5194/bg-19-1705-2022, 2022
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The trace gas dimethyl sulfide (DMS) plays an important role in the ocean sulfur cycle and can also influence Earth’s climate. Our study used two statistical methods to predict surface ocean concentrations and rates of sea–air exchange of DMS in the northeast subarctic Pacific. Our results show improved predictive power over previous approaches and suggest that nutrient availability, light-dependent processes, and physical mixing may be important controls on DMS in this region.
Xi Wei, Josette Garnier, Vincent Thieu, Paul Passy, Romain Le Gendre, Gilles Billen, Maia Akopian, and Goulven Gildas Laruelle
Biogeosciences, 19, 931–955, https://doi.org/10.5194/bg-19-931-2022, https://doi.org/10.5194/bg-19-931-2022, 2022
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Estuaries are key reactive ecosystems along the land–ocean aquatic continuum and are often strongly impacted by anthropogenic activities. We calculated nutrient in and out fluxes by using a 1-D transient model for seven estuaries along the French Atlantic coast. Among these, large estuaries with high residence times showed higher retention rates than medium and small ones. All reveal coastal eutrophication due to the excess of diffused nitrogen from intensive agricultural river basins.
Krysten Rutherford, Katja Fennel, Dariia Atamanchuk, Douglas Wallace, and Helmuth Thomas
Biogeosciences, 18, 6271–6286, https://doi.org/10.5194/bg-18-6271-2021, https://doi.org/10.5194/bg-18-6271-2021, 2021
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Using a regional model of the northwestern North Atlantic shelves in combination with a surface water time series and repeat transect observations, we investigate surface CO2 variability on the Scotian Shelf. The study highlights a strong seasonal cycle in shelf-wide pCO2 and spatial variability throughout the summer months driven by physical events. The simulated net flux of CO2 on the Scotian Shelf is out of the ocean, deviating from the global air–sea CO2 flux trend in continental shelves.
Frerk Pöppelmeier, David J. Janssen, Samuel L. Jaccard, and Thomas F. Stocker
Biogeosciences, 18, 5447–5463, https://doi.org/10.5194/bg-18-5447-2021, https://doi.org/10.5194/bg-18-5447-2021, 2021
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Chromium (Cr) is a redox-sensitive element that holds promise as a tracer of ocean oxygenation and biological activity. We here implemented the oxidation states Cr(III) and Cr(VI) in the Bern3D model to investigate the processes that shape the global Cr distribution. We find a Cr ocean residence time of 5–8 kyr and that the benthic source dominates the tracer budget. Further, regional model–data mismatches suggest strong Cr removal in oxygen minimum zones and a spatially variable benthic source.
Felipe S. Freitas, Philip A. Pika, Sabine Kasten, Bo B. Jørgensen, Jens Rassmann, Christophe Rabouille, Shaun Thomas, Henrik Sass, Richard D. Pancost, and Sandra Arndt
Biogeosciences, 18, 4651–4679, https://doi.org/10.5194/bg-18-4651-2021, https://doi.org/10.5194/bg-18-4651-2021, 2021
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It remains challenging to fully understand what controls carbon burial in marine sediments globally. Thus, we use a model–data approach to identify patterns of organic matter reactivity at the seafloor across distinct environmental conditions. Our findings support the notion that organic matter reactivity is a dynamic ecosystem property and strongly influences biogeochemical cycling and exchange. Our results are essential to improve predictions of future changes in carbon cycling and climate.
Josué Bock, Martine Michou, Pierre Nabat, Manabu Abe, Jane P. Mulcahy, Dirk J. L. Olivié, Jörg Schwinger, Parvadha Suntharalingam, Jerry Tjiputra, Marco van Hulten, Michio Watanabe, Andrew Yool, and Roland Séférian
Biogeosciences, 18, 3823–3860, https://doi.org/10.5194/bg-18-3823-2021, https://doi.org/10.5194/bg-18-3823-2021, 2021
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In this study we analyse surface ocean dimethylsulfide (DMS) concentration and flux to the atmosphere from four CMIP6 Earth system models over the historical and ssp585 simulations.
Our analysis of contemporary (1980–2009) climatologies shows that models better reproduce observations in mid to high latitudes. The models disagree on the sign of the trend of the global DMS flux from 1980 onwards. The models agree on a positive trend of DMS over polar latitudes following sea-ice retreat dynamics.
Mariana Hill Cruz, Iris Kriest, Yonss Saranga José, Rainer Kiko, Helena Hauss, and Andreas Oschlies
Biogeosciences, 18, 2891–2916, https://doi.org/10.5194/bg-18-2891-2021, https://doi.org/10.5194/bg-18-2891-2021, 2021
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In this study we use a regional biogeochemical model of the eastern tropical South Pacific Ocean to implicitly simulate the effect that fluctuations in populations of small pelagic fish, such as anchovy and sardine, may have on the biogeochemistry of the northern Humboldt Current System. To do so, we vary the zooplankton mortality in the model, under the assumption that these fishes eat zooplankton. We also evaluate the model for the first time against mesozooplankton observations.
Roman Bezhenar, Kyeong Ok Kim, Vladimir Maderich, Govert de With, and Kyung Tae Jung
Biogeosciences, 18, 2591–2607, https://doi.org/10.5194/bg-18-2591-2021, https://doi.org/10.5194/bg-18-2591-2021, 2021
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A new approach to predicting the accumulation of radionuclides in fish was developed by taking into account heterogeneity of distribution of contamination in the organism and dependence of metabolic process rates on the fish mass. Predicted concentrations of radionuclides in fish agreed well with the laboratory and field measurements. The model with the defined generic parameters could be used in marine environments without local calibration, which is important for emergency decision support.
Emil De Borger, Justin Tiano, Ulrike Braeckman, Adriaan D. Rijnsdorp, and Karline Soetaert
Biogeosciences, 18, 2539–2557, https://doi.org/10.5194/bg-18-2539-2021, https://doi.org/10.5194/bg-18-2539-2021, 2021
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Bottom trawling alters benthic mineralization: the recycling of organic material (OM) to free nutrients. To better understand how this occurs, trawling events were added to a model of seafloor OM recycling. Results show that bottom trawling reduces OM and free nutrients in sediments through direct removal thereof and of fauna which transport OM to deeper sediment layers protected from fishing. Our results support temporospatial trawl restrictions to allow key sediment functions to recover.
Britta Munkes, Ulrike Löptien, and Heiner Dietze
Biogeosciences, 18, 2347–2378, https://doi.org/10.5194/bg-18-2347-2021, https://doi.org/10.5194/bg-18-2347-2021, 2021
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Cyanobacteria blooms can strongly aggravate eutrophication problems of water bodies. Their controls are, however, not comprehensively understood, which impedes effective management and protection plans. Here we review the current understanding of cyanobacteria blooms. Juxtaposition of respective field and laboratory studies with state-of-the-art mathematical models reveals substantial uncertainty associated with nutrient demands, grazing, and death of cyanobacteria.
Jens Terhaar, Olivier Torres, Timothée Bourgeois, and Lester Kwiatkowski
Biogeosciences, 18, 2221–2240, https://doi.org/10.5194/bg-18-2221-2021, https://doi.org/10.5194/bg-18-2221-2021, 2021
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The uptake of carbon, emitted as a result of human activities, results in ocean acidification. We analyse 21st-century projections of acidification in the Arctic Ocean, a region of particular vulnerability, using the latest generation of Earth system models. In this new generation of models there is a large decrease in the uncertainty associated with projections of Arctic Ocean acidification, with freshening playing a greater role in driving acidification than previously simulated.
Tobias R. Vonnahme, Martial Leroy, Silke Thoms, Dick van Oevelen, H. Rodger Harvey, Svein Kristiansen, Rolf Gradinger, Ulrike Dietrich, and Christoph Völker
Biogeosciences, 18, 1719–1747, https://doi.org/10.5194/bg-18-1719-2021, https://doi.org/10.5194/bg-18-1719-2021, 2021
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Diatoms are crucial for Arctic coastal spring blooms, and their growth is controlled by nutrients and light. At the end of the bloom, inorganic nitrogen or silicon can be limiting, but nitrogen can be regenerated by bacteria, extending the algal growth phase. Modeling these multi-nutrient dynamics and the role of bacteria is challenging yet crucial for accurate modeling. We recreated spring bloom dynamics in a cultivation experiment and developed a representative dynamic model.
Rebecca M. Wright, Corinne Le Quéré, Erik Buitenhuis, Sophie Pitois, and Mark J. Gibbons
Biogeosciences, 18, 1291–1320, https://doi.org/10.5194/bg-18-1291-2021, https://doi.org/10.5194/bg-18-1291-2021, 2021
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Jellyfish have been included in a global ocean biogeochemical model for the first time. The global mean jellyfish biomass in the model is within the observational range. Jellyfish are found to play an important role in the plankton ecosystem, influencing community structure, spatiotemporal dynamics and biomass. The model raises questions about the sensitivity of the zooplankton community to jellyfish mortality and the interactions between macrozooplankton and jellyfish.
Valeria Di Biagio, Gianpiero Cossarini, Stefano Salon, and Cosimo Solidoro
Biogeosciences, 17, 5967–5988, https://doi.org/10.5194/bg-17-5967-2020, https://doi.org/10.5194/bg-17-5967-2020, 2020
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Events that influence the functioning of the Earth’s ecosystems are of interest in relation to a changing climate. We propose a method to identify and characterise
wavesof extreme events affecting marine ecosystems for multi-week periods over wide areas. Our method can be applied to suitable ecosystem variables and has been used to describe different kinds of extreme event waves of phytoplankton chlorophyll in the Mediterranean Sea, by analysing the output from a high-resolution model.
Maria Paula da Silva, Lino A. Sander de Carvalho, Evlyn Novo, Daniel S. F. Jorge, and Claudio C. F. Barbosa
Biogeosciences, 17, 5355–5364, https://doi.org/10.5194/bg-17-5355-2020, https://doi.org/10.5194/bg-17-5355-2020, 2020
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In this study, we analyze the seasonal changes in the dissolved organic matter (DOM) quality (based on its optical properties) in four Amazon floodplain lakes. DOM plays a fundamental role in surface water chemistry, controlling metal bioavailability and mobility, and nutrient cycling. The model proposed in our paper highlights the potential to study DOM quality at a wider spatial scale, which may help to better understand the persistence and fate of DOM in the ecosystem.
Zhengchen Zang, Z. George Xue, Kehui Xu, Samuel J. Bentley, Qin Chen, Eurico J. D'Sa, Le Zhang, and Yanda Ou
Biogeosciences, 17, 5043–5055, https://doi.org/10.5194/bg-17-5043-2020, https://doi.org/10.5194/bg-17-5043-2020, 2020
Taylor A. Shropshire, Steven L. Morey, Eric P. Chassignet, Alexandra Bozec, Victoria J. Coles, Michael R. Landry, Rasmus Swalethorp, Glenn Zapfe, and Michael R. Stukel
Biogeosciences, 17, 3385–3407, https://doi.org/10.5194/bg-17-3385-2020, https://doi.org/10.5194/bg-17-3385-2020, 2020
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Zooplankton are the smallest animals in the ocean and important food for fish. Despite their importance, zooplankton have been relatively undersampled. To better understand the zooplankton community in the Gulf of Mexico (GoM), we developed a model to simulate their dynamics. We found that heterotrophic protists are important for supporting mesozooplankton, which are the primary prey of larval fish. The model developed in this study has the potential to improve fisheries management in the GoM.
Iris Kriest, Paul Kähler, Wolfgang Koeve, Karin Kvale, Volkmar Sauerland, and Andreas Oschlies
Biogeosciences, 17, 3057–3082, https://doi.org/10.5194/bg-17-3057-2020, https://doi.org/10.5194/bg-17-3057-2020, 2020
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Constants of global biogeochemical ocean models are often tuned
by handto match observations of nutrients or oxygen. We investigate the effect of this tuning by optimising six constants of a global biogeochemical model, simulated in five different offline circulations. Optimal values for three constants adjust to distinct features of the circulation applied and can afterwards be swapped among the circulations, without losing too much of the model's fit to observed quantities.
Laura Haffert, Matthias Haeckel, Henko de Stigter, and Felix Janssen
Biogeosciences, 17, 2767–2789, https://doi.org/10.5194/bg-17-2767-2020, https://doi.org/10.5194/bg-17-2767-2020, 2020
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Deep-sea mining for polymetallic nodules is expected to have severe environmental impacts. Through prognostic modelling, this study aims to provide a holistic assessment of the biogeochemical recovery after a disturbance event. It was found that the recovery strongly depends on the impact type; e.g. complete removal of the surface sediment reduces seafloor nutrient fluxes over centuries.
Fabian A. Gomez, Rik Wanninkhof, Leticia Barbero, Sang-Ki Lee, and Frank J. Hernandez Jr.
Biogeosciences, 17, 1685–1700, https://doi.org/10.5194/bg-17-1685-2020, https://doi.org/10.5194/bg-17-1685-2020, 2020
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We use a numerical model to infer annual changes of surface carbon chemistry in the Gulf of Mexico (GoM). The main seasonality drivers of partial pressure of carbon dioxide and aragonite saturation state from the model are temperature and river runoff. The GoM basin is a carbon sink in winter–spring and carbon source in summer–fall, but uptake prevails near the Mississippi Delta year-round due to high biological production. Our model results show good correspondence with observational studies.
Simon J. Parker
Biogeosciences, 17, 305–315, https://doi.org/10.5194/bg-17-305-2020, https://doi.org/10.5194/bg-17-305-2020, 2020
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Dissolved oxygen (DO) models typically assume constant ecosystem respiration over the course of a single day. Using a data-driven approach, this research examines this assumption in four streams across two (hydro-)geological types (Chalk and Greensand). Despite hydrogeological equivalence in terms of baseflow index for each hydrogeological pairing, model suitability differed within, rather than across, geology types. This corresponded with associated differences in timings of DO minima.
Fabrice Lacroix, Tatiana Ilyina, and Jens Hartmann
Biogeosciences, 17, 55–88, https://doi.org/10.5194/bg-17-55-2020, https://doi.org/10.5194/bg-17-55-2020, 2020
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Contributions of rivers to the oceanic cycling of carbon have been poorly represented in global models until now. Here, we assess the long–term implications of preindustrial riverine loads in the ocean in a novel framework which estimates the loads through a hierarchy of weathering and land–ocean export models. We investigate their impacts for the oceanic biological production and air–sea carbon flux. Finally, we assess the potential incorporation of the framework in an Earth system model.
Patrick A. Rafter, Aaron Bagnell, Dario Marconi, and Timothy DeVries
Biogeosciences, 16, 2617–2633, https://doi.org/10.5194/bg-16-2617-2019, https://doi.org/10.5194/bg-16-2617-2019, 2019
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The N isotopic composition of nitrate (
nitrate δ15N) is a useful tracer of ocean N cycling and many other ocean processes. Here, we use a global compilation of marine nitrate δ15N as an input, training, and validating dataset for an artificial neural network (a.k.a.,
machine learning) and examine basin-scale trends in marine nitrate δ15N from the surface to the seafloor.
Elena Terzić, Paolo Lazzari, Emanuele Organelli, Cosimo Solidoro, Stefano Salon, Fabrizio D'Ortenzio, and Pascal Conan
Biogeosciences, 16, 2527–2542, https://doi.org/10.5194/bg-16-2527-2019, https://doi.org/10.5194/bg-16-2527-2019, 2019
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Measuring ecosystem properties in the ocean is a hard business. Recent availability of data from Biogeochemical-Argo floats can help make this task easier. Numerical models can integrate these new data in a coherent picture and can be used to investigate the functioning of ecosystem processes. Our new approach merges experimental information and model capabilities to quantitatively demonstrate the importance of light and water vertical mixing for algae dynamics in the Mediterranean Sea.
Jens Terhaar, James C. Orr, Marion Gehlen, Christian Ethé, and Laurent Bopp
Biogeosciences, 16, 2343–2367, https://doi.org/10.5194/bg-16-2343-2019, https://doi.org/10.5194/bg-16-2343-2019, 2019
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A budget of anthropogenic carbon in the Arctic Ocean, the main driver of open-ocean acidification, was constructed for the first time using a high-resolution ocean model. The budget reveals that anthropogenic carbon enters the Arctic Ocean mainly by lateral transport; the air–sea flux plays a minor role. Coarser-resolution versions of the same model, typical of earth system models, store less anthropogenic carbon in the Arctic Ocean and thus underestimate ocean acidification in the Arctic Ocean.
Taylor S. Martin, François Primeau, and Karen L. Casciotti
Biogeosciences, 16, 347–367, https://doi.org/10.5194/bg-16-347-2019, https://doi.org/10.5194/bg-16-347-2019, 2019
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Nitrite is a key intermediate in many nitrogen (N) cycling processes in the ocean, particularly in areas with low oxygen that are hotspots for N loss. We have created a 3-D global N cycle model with nitrite as a tracer. Stable isotopes of N are also included in the model and we are able to model the isotope fractionation associated with each N cycling process. Our model accurately represents N concentrations and isotope distributions in the ocean.
Camille Richon, Jean-Claude Dutay, Laurent Bopp, Briac Le Vu, James C. Orr, Samuel Somot, and François Dulac
Biogeosciences, 16, 135–165, https://doi.org/10.5194/bg-16-135-2019, https://doi.org/10.5194/bg-16-135-2019, 2019
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We evaluate the effects of climate change and biogeochemical forcing evolution on the nutrient and plankton cycles of the Mediterranean Sea for the first time. We use a high-resolution coupled physical and biogeochemical model and perform 120-year transient simulations. The results indicate that changes in external nutrient fluxes and climate change may have synergistic or antagonistic effects on nutrient concentrations, depending on the region and the scenario.
Angela M. Kuhn, Katja Fennel, and Ilana Berman-Frank
Biogeosciences, 15, 7379–7401, https://doi.org/10.5194/bg-15-7379-2018, https://doi.org/10.5194/bg-15-7379-2018, 2018
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Recent studies demonstrate that marine N2 fixation can be carried out without light. However, direct measurements of N2 fixation in dark environments are relatively scarce. This study uses a model that represents biogeochemical cycles at a deep-ocean location in the Gulf of Aqaba (Red Sea). Different model versions are used to test assumptions about N2 fixers. Relaxing light limitation for marine N2 fixers improved the similarity between model results and observations of deep nitrate and oxygen.
Prima Anugerahanti, Shovonlal Roy, and Keith Haines
Biogeosciences, 15, 6685–6711, https://doi.org/10.5194/bg-15-6685-2018, https://doi.org/10.5194/bg-15-6685-2018, 2018
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Minor changes in the biogeochemical model equations lead to major dynamical changes. We assessed this structural sensitivity for the MEDUSA biogeochemical model on chlorophyll and nitrogen concentrations at five oceanographic stations over 10 years, using 1-D ensembles generated by combining different process equations. The ensemble performed better than the default model in most of the stations, suggesting that our approach is useful for generating a probabilistic biogeochemical ensemble model.
Audrey Gimenez, Melika Baklouti, Thibaut Wagener, and Thierry Moutin
Biogeosciences, 15, 6573–6589, https://doi.org/10.5194/bg-15-6573-2018, https://doi.org/10.5194/bg-15-6573-2018, 2018
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During the OUTPACE cruise conducted in the oligotrophic to ultra-oligotrophic region of the western tropical South Pacific, two contrasted regions were sampled in terms of N2 fixation rates, primary production rates and nutrient availability. The aim of this work was to investigate the role of N2 fixation in the differences observed between the two contrasted areas by comparing two simulations only differing by the presence or not of N2 fixers using a 1-D biogeochemical–physical coupled model.
Jenny Hieronymus, Kari Eilola, Magnus Hieronymus, H. E. Markus Meier, Sofia Saraiva, and Bengt Karlson
Biogeosciences, 15, 5113–5129, https://doi.org/10.5194/bg-15-5113-2018, https://doi.org/10.5194/bg-15-5113-2018, 2018
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This paper investigates how phytoplankton concentrations in the Baltic Sea co-vary with nutrient concentrations and other key variables on inter-annual timescales in a model integration over the years 1850–2008. The study area is not only affected by climate change; it has also been subjected to greatly increased nutrient loads due to extensive use of agricultural fertilizers. The results indicate the largest inter-annual coherence of phytoplankton with the limiting nutrient.
Cited articles
Abatzoglou, J. T. and Brown, T. J.: A comparison of statistical downscaling methods suited for wildfire applications, Int. J. Clim., 32, 772–780, https://doi.org/10.1002/joc.2312, 2012.
Allen, K. L., Ihde, T., Knoche, S., Townsend, H., and Lewis, K. A.: Simulated climate change impacts on striped bass, blue crab and Eastern oyster in oyster sanctuary habitats of Chesapeake Bay, Estuar. Coast. Shelf Sci., 292, 108465, https://doi.org/10.1016/j.ecss.2023.108465, 2023.
Amaral, V., Cabral, H. N., and Bishop, M. J.: Effects of estuarine acidification on predator–prey interactions, Mar. Ecol. Prog. Ser., 445, 117–127, https://doi.org/10.3354/meps09487, 2012.
Barclay, K. M., Gingras, M. K., Packer, S. T., and Leighton, L. R.: The role of gastropod shell composition and microstructure in resisting dissolution caused by ocean acidification, Mar. Environ. Res., 162, 105105, https://doi.org/10.1016/j.marenvres.2020.105105, 2020.
Barton, A., Waldbusser, G. G., Feely, R. A., Weisberg, S. B., Newton, J. A., Hales, B., Cudd, S., Eudeline, B., Langdon, C. J., Jefferds, I., King, T., Suhrbier, A., and McLaughlin, K.: Impacts of Coastal Acidification on the Pacific Northwest Shellfish Industry and Adaptation Strategies Implemented in Response, Oceanography, 28, 146–159, http://www.jstor.org/stable/24861877, 2015.
Beniash, E., Ivanina, A., Lieb, N., Kurochkin, I., and Sokolova, I.: Elevated level of carbon dioxide affects metabolism and shell formation in oysters Crassostrea virginica (Gmelin), Mar. Ecol. Prog. Ser., 419, 95–108, https://doi.org/10.3354/meps08841, 2010.
Bertolini, C., Brigolin, D., Porporato, E. M. D., Hattab, J., Pastres, R., and Tiscar, P. G.: Testing a Model of Pacific Oysters' (Crassostrea gigas) Growth in the Adriatic Sea: Implications for Aquaculture Spatial Planning, Sustainability, 13, 3309, https://doi.org/10.3390/su13063309, 2021.
Bhatt, G., Linker, L., Shenk, G., Bertani, I., Tian, R., Rigelman, J., Hinson, K., and Claggett, P.: Water quality impacts of climate change, land use, and population growth in the Chesapeake Bay watershed, J. Am. Water Resour. Assoc., 59, 1313–1341, https://doi.org/10.1111/1752-1688.13144, 2023.
Borges, A. V. and Gypens, N.: Carbonate chemistry in the coastal zone responds more strongly to eutrophication than to ocean acidification, Limnol. Oceanogr., 55, 346–353, https://doi.org/10.4319/lo.2010.55.1.0346, 2010.
Brianik, C. J. and Allam, B.: The need for more information on the resistance to biological and environmental stressors in triploid oysters, Aquaculture, 577, 739913, https://doi.org/10.1016/j.aquaculture.2023.739913, 2023.
Brush, M. J. and Kellogg, M. L.: Harris Creek Oyster Restoration Model v2, Virginia Institute of Marine Science, Gloucester Point, VA, https://exchange.iseesystems.com/public/markbrush/harris-creek-model-v2/index.html (last access: 28 January 2024), 2018.
Burford, M., Scarpa, J., Cook, B., and Hare, M.: Local adaptation of a marine invertebrate with a high dispersal potential: evidence from a reciprocal transplant experiment of the eastern oyster Crassostrea virginica, Mar. Ecol. Prog. Ser., 505, 161–175, https://doi.org/10.3354/meps10796, 2014.
Burge, C. A., Judah, L. R., Conquest, L. L., Griffin, F. J., Cheney, D. P., Suhrbier, A., Vadopalas, B., Olin, P. G., Renault, T., and Friedman, C. S.: Summer seed mortality of the pacific oyster, Crassostrea gigas (Thunberg) grown in Tomales Bay, California, USA: the influence of oyster stock, planting time, pathogens, and environmental stressors, J. Shellfish Res, 26, 163–172, 2007.
Cai, W. J. and Wang, Y.: The chemistry, fluxes, and sources of carbon dioxide in the estuarine waters of the Satilla and Altamaha Rivers, Georgia. Limnol. Oceanogr., 43, 657-668, https://doi.org/10.4319/lo.1998.43.4.0657, 1998.
Cai, W., Feely, R. A., Testa, J. M., Li, M., Evans, W., Alin, S. R., Xu, Y.-Y., Pelletier, G., Ahmed, A., Greeley, D. J., Newton, J. A., and Bednaršek, N.: Natural and Anthropogenic Drivers of Acidification in Large Estuaries, Annu. Rev. Mar. Sci., 13, 23–55, https://doi.org/10.1146/annurev-marine-010419-011004, 2021.
Cai, W. J., Huang, W.-J., Luther, G. W., Pierrot, D., Li, M., Testa, J., Xue, M., Joesoef, A., Mann, R., Brodeur, J., Xu, Y.-Y., Chen, B., Hussain, N., Waldbusser, G. G., Cornwell, J., and Kemp, W. M.: Redox reactions and weak buffering capacity lead to acidification in the Chesapeake Bay, Nat. Commun., 8, 369, https://doi.org/10.1038/s41467-017-00417-7, 2017.
Cai, W. J., Xu, Y.-Y., Feely, R. A., Wanninkhof, R., Jönsson, B., Alin, S. R., Barbero, L., Cross, J. N., Azetsu-Scott, K., Fassbender, A. J., Carter, B. R., Jiang, L.-Q., Pepin, P., Chen, B., Hussain, N., Reimer, J. J., Xue, L., Salisbury, J. E., Hernández-Ayón, J. M., Langdon, C., Li, Q., Sutton, A. J., Chen, C.-T. A., and Gledhill, D. K.: Controls on surface water carbonate chemistry along North American ocean margins, Nat. Commun., 11, 2691, https://doi.org/10.1038/s41467-020-16530-z, 2021.
Caldeira, K. and Wickett, M. E.: Anthropogenic carbon and ocean pH, Nature, 425, 365–365, https://doi.org/10.1038/425365a, 2003.
Caillon, C., Fleury, E., Di Poi, C., Gazeau, F., and Pernet, F.: Food availability, but not tidal emersion, influences the combined effects of ocean acidification and warming on oyster physiological performance, Aquaculture, 742459, https://doi.org/10.1016/j.aquaculture.2025.742459, 2025.
Caldeira, K. and Wickett, M. E.: Ocean model predictions of chemistry changes from carbon dioxide emissions to the atmosphere and ocean, J. Geophys. Res.-Ocean., 110, C09S04, https://doi.org/10.1029/2004jc002671, 2005.
Callam, B. R., Allen, S. K., and Frank-Lawale, A.: Genetic and environmental influence on triploid Crassostrea virginica grown in Chesapeake Bay: Growth, Aquaculture, 452, 97–106, https://doi.org/10.1016/j.aquaculture.2015.10.027, 2016.
Carstensen, J. and Duarte, C. M.: Drivers of pH Variability in Coastal Ecosystems, Environ. Sci. Technol., 53, 4020–4029, https://doi.org/10.1021/acs.est.8b03655, 2019.
Cerco, C. and Noel, M.: Process-based primary production modeling in Chesapeake Bay, Mar. Ecol. Prog. Ser., 282, 45–58, https://doi.org/10.3354/meps282045, 2004.
Cerco, C.F and Noel, M. R.: Evaluating ecosystem effects of oyster restoration in Chesapeake Bay, Report of US Army Engineer Research and Development Center, https://www.chesapeakebay.net/what/publications/ (last access: 28 January 2024), 2005.
CBP (Chesapeake Bay Program): CBP Water Quality Database (1984-present), https://www.chesapeakebay.net/what/downloads/cbp-water-quality-database-1984-present, last access: 28 January 2024.
Copernicus Climate Change Service: ERA5: Fifth Generation of ECMWF Atmospheric Reanalyses of the Global Climate, Copernicus Climate Change Service Climate Data Store (CDS), https://cds.climate.copernicus.eu/datasets (last access: 28 January 2024), 2017.
Czajka, C. R., Friedrichs, M. A. M., Rivest, E. B., St-Laurent, P., Brush, M. J., and Da, F.: Dataset: Acidification, warming, and nutrient management are projected to cause reductions in shell and tissue weights of oysters in a coastal plain estuary, William and Mary ScholarWorks [data set], https://doi.org/10.25773/e4kz-d686, 2025.
Da, F.: Chesapeake Bay Carbon Cycle: Past, Present, Future, PhD. Dissertation, Virginia Institute of Marine Science, William & Mary, Virginia, USA, https://doi.org/10.25773/v5-46f7-e286, 2023.
Da, F., Friedrichs, M. A. M., St-Laurent, P., Shadwick, E. H., Najjar, R. G., and Hinson, K. E.: Mechanisms Driving Decadal Changes in the Carbonate System of a Coastal Plain Estuary, J. Geophys. Res.-Ocean., 126, e2021JC017239, https://doi.org/10.1029/2021jc017239, 2021.
Da, F., Friedrichs, M. A. M., St-Laurent, P., Najjar, R. G., Shadwick, E. H., and Stets, E. G.: Influence of Rivers, Tides, and Tidal Wetlands on Estuarine Carbonate System Dynamics, Estuar. Coast., 47, 2283–2305, https://doi.org/10.1007/s12237-024-01421-z, 2024.
Dame, R. F.: The ecological energies of growth, respiration and assimilation in the intertidal American oyster Crassostrea virginica, Mar. Biol., 17, 43–250, 1972.
Dayton, P. K.: Toward an understanding of community resilience and the potential effects of enrichments to the benthos at McMurdo Sound, Antarctica, Proceedings of the colloquium on conservation problems in Antarctica, 81–96, 1972.
Dégremont, L., Garcia, C., Frank-Lawale, A., and Allen, S. K.: Triploid Oysters in the Chesapeake Bay: Comparison of Diploid and Triploid Crassostrea virginica, J. Shellfish Res., 31, 21–31, https://doi.org/10.2983/035.031.0103, 2012.
Dickinson, G. H., Ivanina, A. V., Matoo, O. B., Pörtner, H. O., Lannig, G., Bock, C., Beniash, E., and Sokolova, I. M.: Interactive effects of salinity and elevated CO2 levels on juvenile eastern oysters, Crassostrea virginica, J. Exp. Biol., 215, 29–43, https://doi.org/10.1242/jeb.061481, 2011.
Dinauer, A. and Mucci, A.: Spatial variability in surface-water pCO2 and gas exchange in the world's largest semi-enclosed estuarine system: St. Lawrence Estuary (Canada), Biogeosciences, 14, 3221–3237, https://doi.org/10.5194/bg-14-3221-2017, 2017.
Doney, S. C., Fabry, V. J., Feely, R. A., and Kleypas, J. A.: Ocean acidification: the other CO2 problem., Annu. Rev. Mar. Sci., 1, 169–92, https://doi.org/10.1146/annurev.marine.010908.163834, 2009.
Dong, S., Lei, Y., Li, T., Cao, Y., and Xu, K.: Biocalcification crisis in the continental shelf under ocean acidification. Geosci. Front., 14, 101622, https://doi.org/10.1016/j.gsf.2023.101622, 2023.
Du, J., Shen, J., Park, K., Wang, Y. P., and Yu, X.: Worsened physical condition due to climate change contributes to the increasing hypoxia in Chesapeake Bay, Sci. Total Environ., 630, 707–717, https://doi.org/10.1016/j.scitotenv.2018.02.265, 2018.
Dufresne, J.-L., Foujols, M.-A., Denvil, S., Caubel, A., Marti, O., Aumont, O., Balkanski, Y., Bekki, S., Bellenger, H., Benshila, R., Bony, S., Bopp, L., Braconnot, P., Brockmann, P., Cadule, P., Cheruy, F., Codron, F., Cozic, A., Cugnet, D., Noblet, N. de, Duvel, J.-P., Ethé, C., Fairhead, L., Fichefet, T., Flavoni, S., Friedlingstein, P., Grandpeix, J.-Y., Guez, L., Guilyardi, E., Hauglustaine, D., Hourdin, F., Idelkadi, A., Ghattas, J., Joussaume, S., Kageyama, M., Krinner, G., Labetoulle, S., Lahellec, A., Lefebvre, M.-P., Lefevre, F., Levy, C., Li, Z. X., Lloyd, J., Lott, F., Madec, G., Mancip, M., Marchand, M., Masson, S., Meurdesoif, Y., Mignot, J., Musat, I., Parouty, S., Polcher, J., Rio, C., Schulz, M., Swingedouw, D., Szopa, S., Talandier, C., Terray, P., Viovy, N., and Vuichard, N.: Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5, Clim. Dynam., 40, 2123–2165, https://doi.org/10.1007/s00382-012-1636-1, 2013.
Dunne, J. P., John, J. G., Adcroft, A. J., Griffies, S. M., Hallberg, R. W., Shevliakova, E., Stouffer, R. J., Cooke, W., Dunne, K. A., Harrison, M. J., Krasting, J. P., Malyshev, S. L., Milly, P. C. D., Phillipps, P. J., Sentman, L. T., Samuels, B. L., Spelman, M. J., Winton, M., Wittenberg, A. T., and Zadeh, N.: GFDL's ESM2 Global Coupled Climate–Carbon Earth System Models. Part I: Physical Formulation and Baseline Simulation Characteristics, J. Clim., 25, 6646–6665, https://doi.org/10.1175/jcli-d-11-00560.1, 2012.
EPA: Chesapeake Bay Total Maximum Daily Load for Nitrogen, Phosphorus, and Sediment, United States Environmental Protection Agency, 2010.
Ehrich, M. K. and Harris, L. A.: A review of existing eastern oyster filtration rate models, Ecol. Model., 297, 201–212, https://doi.org/10.1016/j.ecolmodel.2014.11.023, 2015.
Feely, R. A., Sabine, C. L., Lee, K., Berelson, W., Kleypas, J., Fabry, V. J., and Millero, F. J.: Impact of Anthropogenic CO2 on the CaCO3 System in the Oceans, Science, 305, 362–366, https://doi.org/10.1126/science.1097329, 2004.
Feely, R. A., Doney, S. C., and Cooley, S. R.: Ocean Acidification: Present Conditions and Future Changes in a High-CO2 World, Oceanography, 22, 36–47, https://doi.org/10.5670/oceanog.2009.95, 2009.
Feng, Y., Friedrichs, M. A. M., Wilkin, J., Tian, H., Yang, Q., Hofmann, E. E., Wiggert, J. D., and Hood, R. R.: Chesapeake Bay nitrogen fluxes derived from a land-estuarine ocean biogeochemical modeling system: Model description, evaluation, and nitrogen budgets, J. Geophys. Res.-Biogeo., 120, 1666–1695, https://doi.org/10.1002/2015jg002931, 2015.
Frankel, L. T., Friedrichs, M. A. M., St-Laurent, P., Bever, A. J., Lipcius, R. N., Bhatt, G., and Shenk, G. W.: Nitrogen reductions have decreased hypoxia in the Chesapeake Bay: Evidence from empirical and numerical modeling, Sci. Total Environ., 814, 152722, https://doi.org/10.1016/j.scitotenv.2021.152722, 2022.
Frank-Lawale, A., Allen, S. K., and Dgremont, L.: Breeding and Domestication of Eastern Oyster (Crassostrea virginica) Lines for Culture in the Mid-Atlantic, Usa: Line Development and Mass Selection for Disease Resistance, J. Shellfish Res., 33, 153–165, https://doi.org/10.2983/035.033.0115, 2014.
Fujii, M., Hamanoue, R., Bernardo, L. P. C., Ono, T., Dazai, A., Oomoto, S., Wakita, M., and Tanaka, T.: Assessing impacts of coastal warming, acidification, and deoxygenation on Pacific oyster (Crassostrea gigas) farming: a case study in the Hinase area, Okayama Prefecture, and Shizugawa Bay, Miyagi Prefecture, Japan, Biogeosciences, 20, 4527–4549, https://doi.org/10.5194/bg-20-4527-2023, 2023.
Fulford, R., Breitburg, D., Newell, R., Kemp, W., and Luckenbach, M.: Effects of oyster population restoration strategies on phytoplankton biomass in Chesapeake Bay: a flexible modeling approach, Mar. Ecol. Prog. Ser., 336, 43–61, https://doi.org/10.3354/meps336043, 2007.
Gattuso, J. P., Magnan, A., Billé, R., Cheung, W. W., Howes, E. L., Joos, F., Allemand, D., Bopp, L., Cooley, S. R., Eakin, C. M., Hoegh-Guldberg, O., Kelly, R. P., Pörtner, H.-O., Rogers, A. D., Baxter, J. M., Laffoley, D., Osborn, D., Rankovic, A., Rochette, J., Sumaila, U. R., Treyer, S., and Turley, C.: Contrasting futures for ocean and society from different anthropogenic CO2 emissions scenarios, Science, 349, 6243, https://doi.org/10.1126/science.aac4722, 2015.
Gawde, R. K., North, E. W., Hood, R. R., Long, W., Wang, H., and Wilberg, M. J.: A high resolution hydrodynamic-biogeochemical-oyster-filtration model predicts that the presence of oysters (Crassostrea virginica) can improve, or reduce, water quality depending upon oyster abundance and location, Ecol. Model., 496, 110833, https://doi.org/10.1016/j.ecolmodel.2024.110833, 2024.
Gazeau, F., Quiblier, C., Jansen, J. M., Gattuso, J. P., Middelburg, J. J., and Heip, C. H.: Impact of elevated CO2 on shellfish calcification. Geophys. Res. Lett., 34, L07603, https://doi.org/10.1029/2006GL028554, 2007.
Gobler, C. J. and Talmage, S. C.: Physiological response and resilience of early life-stage Eastern oysters (Crassostrea virginica) to past, present and future ocean acidification, Conserv. Physiol., 2, cou004, https://doi.org/10.1093/conphys/cou004, 2014.
Goulletquer, P., Soletchnik, P., Le Moine, O., Razet, D., Geairon, P., and Faury, N.: Summer mortality of the Pacific cupped oyster Crassostrea gigas in the Bay of Marennes-Oléron (France), Counc. Meet. of the Int. Counc. for the Exploration of the Sea, Cascais, Portugal, 16–19 September 1998, https://archimer.ifremer.fr/doc/00000/3093/ (last access: 28 January 2024), 1998.
Gmelin, J. F.: Caroli a Linnaei Systema Naturae per Regna Tria Naturae, Systema Naturae, Linneaeus, 13, 3021–3910, 1791.
Gruber, N., Clement, D., Carter, B. R., Feely, R. A., Heuven, S. van, Hoppema, M., Ishii, M., Key, R. M., Kozyr, A., Lauvset, S. K., Monaco, C. L., Mathis, J. T., Murata, A., Olsen, A., Perez, F. F., Sabine, C. L., Tanhua, T., and Wanninkhof, R.: The oceanic sink for anthropogenic CO2 from 1994 to 2007, Science, 363, 1193–1199, https://doi.org/10.1126/science.aau5153, 2019.
Guévélou, E., Carnegie, R. B., Small, J. M., Hudso n, K., Reece, K. S., and Rybovich, M. M.: Tracking Triploid Mortalities of Eastern Oysters Crassostrea virginica in the Virginia Portion of the Chesapeake Bay, J. Shellfish Res., 38, 101–113, https://doi.org/10.2983/035.038.0110, 2019.
Guinotte, J. M. and Fabry, V. J.: Ocean Acidification and Its Potential Effects on Marine Ecosystems, Ann. N. York Acad. Sci., 1134, 320–342, https://doi.org/10.1196/annals.1439.013, 2008.
Hasler, C. T., Jeffrey, J. D., Schneider, E. V. C., Hannan, K. D., Tix, J. A., and Suski, C. D.: Biological consequences of weak acidification caused by elevated carbon dioxide in freshwater ecosystems, Hydrobiologia, 806, 1–12, https://doi.org/10.1007/s10750-017-3332-y, 2018.
Herrmann, M., Najjar, R. G., Da, F., Friedman, J. R., Friedrichs, M. A. M., Goldberger, S., Menendez, A., Shadwick, E. H., Stets, E. G., and St-Laurent, P.: Challenges in Quantifying Air-Water Carbon Dioxide Flux Using Estuarine Water Quality Data: Case Study for Chesapeake Bay, J. Geophys. Res.-Ocean., 125, e2019JC015610, https://doi.org/10.1029/2019jc015610, 2020.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.: The ERA5 global reanalysis, Q. J. R. Meteorol. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Hinson, K. E., Friedrichs, M. A. M., St-Laurent, P., Da, F., and Najjar, R. G.: Extent and Causes of Chesapeake Bay Warming, J. Am. Water Resour. Assoc., 58, 805–825, https://doi.org/10.1111/1752-1688.12916, 2022.
Hinson, K. E., Friedrichs, M. A. M., Najjar, R. G., Herrmann, M., Bian, Z., Bhatt, G., St-Laurent, P., Tian, H., and Shenk, G.: Impacts and uncertainties of climate-induced changes in watershed inputs on estuarine hypoxia, Biogeosciences, 20, 1937–1961, https://doi.org/10.5194/bg-20-1937-2023, 2023.
Hinson, K.E., Friedrichs, M. A. M., Najjar, R. G., Bian, Z., Herrmann, M., and St-Laurent, P.: Response of hypoxia to future climate change is sensitive to methodological assumptions, Sci. Rep., 14, 17544, https://doi.org/10.1038/s41598-024-68329-3, 2024.
Himes, A. R., Schatz, A.m and Rivest, E. B.: Differences in larval acidification tolerance among populations of the eastern oyster, Crassostrea virginica, J. Exp. Mar. Biol. Ecol., 577, 152023, https://doi.org/10.1016/j.jembe.2024.152023, 2024.
Hirsch, R. M., Moyer, D. L., and Archfield, S. A.: Weighted regressions on time, discharge, and season (WRTDS), with an application to Chesapeake Bay river inputs, JAWRA J. Am. Water Res. Assoc., 46, 857–880, https://doi.org/10.1111/j.1752-1688.2010.00482.x, 2010.
Hochachka, P. W. and Somero, G. N.: Biochemical Adaptation: Mechanism and Processing Physiological Evolution, Oxford University Press, ISBN 0195117034, 2002.
Hofmann, G. E. and Hand, S. C.: Global arrest of translation during invertebrate quiescence, P. Natl. Acad. Sci. USA, 91, 8492–8496, https://doi.org/10.1073/pnas.91.18.8492, 1994.
Hopkinson, C. S., Buffam, I., Hobbie, J., Vallino, J., Perdue, M., Eversmeyer, B., Prahl, F., Covert, J., Hodson, R., Moran, M. A., Smith, E., Baross, J., Crump, B., Findlay, S., and Foreman, K.: Terrestrial inputs of organic matter to coastal ecosystems: An intercomparison of chemical characteristics and bioavailability, Biogeochemistry, 43, 211–234, https://doi.org/10.1023/a:1006016030299, 1998.
Hudson, K.: Virginia Shellfish Aquaculture Situation and Outlook Report: Results of the 2018 Virginia Shellfish Aquaculture Crop Reporting Survey, https://doi.org/10.21220/V51K6T, 2019.
IPCC (Intergovernmental Panel on Climate Change): Climate Change 2013: The Physical Science Basis, edited by: Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley, Cambridge University Press, Cambridge, UK and New York, NY, USA, 1535 pp., https://www.ipcc.ch/site/assets/uploads/2018/02/WG1AR5_all_final.pdf (last access: 28 January 2024), 2013.
IPCC (Intergovernmental Panel on Climate Change): IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, edited by: Pörtner, H.-O., Roberts, D. C., Masson-Delmotte, V., Zhai, P., Tignor, M., Poloczanska, E., Mintenbeck, K., Alegriìa, A., Nicolai, M., Okem, A., Petzold, J., Rama, B., and Weyer, N. M., Cambridge University Press, Cambridge, UK and New York, NY, USA, 755 pp., https://doi.org/10.1017/9781009157964, 2019.
IPCC (Intergovernmental Panel on Climate Change): Climate Change 2021: The Physical Science Basis, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University Press, Cambridge, UK and New York, NY, USA, https://doi.org/10.1017/9781009157896, 2021.
Irby, I. D., Friedrichs, M. A. M., Friedrichs, C. T., Bever, A. J., Hood, R. R., Lanerolle, L. W. J., Li, M., Linker, L., Scully, M. E., Sellner, K., Shen, J., Testa, J., Wang, H., Wang, P., and Xia, M.: Challenges associated with modeling low-oxygen waters in Chesapeake Bay: a multiple model comparison, Biogeosciences, 13, 2011–2028, https://doi.org/10.5194/bg-13-2011-2016, 2016.
Irby, I. D., Friedrichs, M. A. M., Da, F., and Hinson, K. E.: The competing impacts of climate change and nutrient reductions on dissolved oxygen in Chesapeake Bay, Biogeosciences, 15, 2649–2668, https://doi.org/10.5194/bg-15-2649-2018, 2018.
Jewett, L. and Romanou, A: Ocean acidification and other ocean changes, in: Climate Science Special Report: Fourth National Climate Assessment, Volume I, edited by: Wuebbles, D. J., Fahey, D. W., Hibbard, K. A., Dokken, D. J., Stewart, B. C., and Maycock, T. K., U.S. Global Change Research Program, Washington, DC, USA, 364–392, https://doi.org/10.7930/J0QV3JQB, 2017.
Jones, H. R., Johnson, K. M., and Kelly, M. W.: Synergistic Effects of Temperature and Salinity on the Gene Expression and Physiology of Crassostrea virginica, Integr. Comp. Biol., 59, 306–319, https://doi.org/10.1093/icb/icz035, 2019.
Jordan, S. J.: Sedimentation and remineralization associated with biodeposition by the American oyster Crassostrea virginica (Gmelin), University of Maryland, College Park, ProQuest Dissertations Publishing, ISBN 979-8-206-77634-8, 1987.
Kellogg, M. L., Brush, M., and Cornwell, J. C.: An updated model for estimating the TMDL – related benefits of oyster reef restoration, A final report to The Nature Conservancy and Oyster Recovery Partnership, https://doi.org/10.25773/7a75-ds48, 2018.
Kemp, W., Boynton, W., Adolf, J., Boesch, D., Boicourt, W., Brush, G., Cornwell, J., Fisher, T., Glibert, P., Hagy, J., Harding, L., Houde, E., Kimmel, D., Miller, W., Newell, R., Roman, M., Smith, E., and Stevenson, J.: Eutrophication of Chesapeake Bay: historical trends and ecological interactions, Mar. Ecol. Prog. Ser., 303, 1–29, https://doi.org/10.3354/meps303001, 2005.
Kingsley-Smith, P. R., Harwell, H. D., Kellogg, M. L., Allen, S. M., Allen, S. K., Meritt, D. W., Paynter, K. T., and Luckenbach, M. W.: Survival and Growth of Triploid Crassostrea virginica (Gmelin, 1791) and C. ariakensis (Fujita, 1913) in Bottom Environments of Chesapeake Bay: Implications for an Introduction, J. Shellfish Res., 28, 169–184, https://doi.org/10.2983/035.028.0201, 2009.
La Peyre, M. K., Eberline, B. S., Soniat, T. M. and La Peyre, J. F.: Differences in extreme low salinity timing and duration differentially affect eastern oyster (Crassostrea virginica) size class growth and mortality in Breton Sound, LA, Estuar. Coast. Shelf Sci., 135, 146–157, 2013.
Lavaud, R., Peyre, M. K. L., Justic, D., and Peyre, J. F. L.: Dynamic Energy Budget modelling to predict eastern oyster growth, reproduction, and mortality under river management and climate change scenarios, Estuar. Coast. Shelf Sci., 251, 107188, https://doi.org/10.1016/j.ecss.2021.107188, 2021.
Lavaud, R., Peyre, M. K. L., Couvillion, B., Pollack, J. B., Brown, V., Palmer, T. A., and Keim, B.: Predicting restoration and aquaculture potential of eastern oysters through an eco-physiological mechanistic model, Ecol. Model., 489, 110603, https://doi.org/10.1016/j.ecolmodel.2023.110603, 2024.
Lemasson, A. J., Hall-Spencer, J. M., Fletcher, S., Provstgaard-Morys, S., and Knights, A. M.: Indications of future performance of native and non-native adult oysters under acidification and warming, Mar. Environ. Res., 142, 178–189, https://doi.org/10.1016/j.marenvres.2018.10.003, 2018.
Li, M., Lee, Y. J., Testa, J. M., Li, Y., Ni, W., Kemp, W. M., and Toro, D. M. D.: What drives interannual variability of hypoxia in Chesapeake Bay: Climate forcing versus nutrient loading?, Geophys. Res. Lett., 43, 2127–2134, https://doi.org/10.1002/2015gl067334, 2016.
Liddel, M. K.: A von Bertalanffy based model for the estimation of oyster (Crassostrea virginica) growth on restored oyster reefs in Chesapeake Bay, Digital Repository at the University of Maryland, College Park, MD, http://hdl.handle.net/1903/8041 (last access: 28 January 2024), 2008.
Loosanoff, V. L.: Some aspects of behavior of oysters at different temperatures, Biol. Bull., 114, 57–70, https://doi.org/10.2307/1538965, 1958.
López-Urrutia, Á., Martin, E. S., Harris, R. P., and Irigoien, X.: Scaling the metabolic balance of the oceans, P. Natl. Acad. Sci. USA, 103, 8739–8744, https://doi.org/10.1073/pnas.0601137103, 2006.
Lowe, A. T., Kobelt, J., Horwith, M., and Ruesink, J.: Ability of Eelgrass to Alter Oyster Growth and Physiology Is Spatially Limited and Offset by Increasing Predation Risk, Estuar. Coast., 42, 743–754, https://doi.org/10.1007/s12237-018-00488-9, 2019.
Lutier, M., Di Poi, C., Gazeau, F., Appolis, A., Le Luyer, J., and Pernet, F.: Revisiting tolerance to ocean acidification: insights from a new framework combining physiological and molecular tipping points of Pacific oyster, Glob. Change Biol., 28, 3333–3348, https://doi.org/10.1111/gcb.16101, 2022.
Malham, S. K., Cotter, E., O'Keeffe, S., Lynch, S., Culloty, S. C., King, J. W., Latchford, J. W., and Beaumont, A. R.: Summer mortality of the Pacific oyster, Crassostrea gigas, in the Irish Sea: the influence of temperature and nutrients on health and survival, Aquaculture, 287, 128–138, https://doi.org/10.1016/j.aquaculture.2008.10.006, 2009.
Matoo, O. B., Ivanina, A. V., Ullstad, C., Beniash, E., and Sokolova, I. M.: Interactive effects of elevated temperature and CO2 levels on metabolism and oxidative stress in two common marine bivalves (Crassostrea virginica and Mercenaria mercenaria), Comp. Biochem. Physiol. Pt. A, 164, 545–553, https://doi.org/10.1016/j.cbpa.2012.12.025, 2013.
Matoo, O. B., Lannig, G., Bock, C., and Sokolova, I. M.: Temperature but not ocean acidification affects energy metabolism and enzyme activities in the blue mussel, Mytilus edulis, Ecol. Evol., 11, 3366–3379, https://doi.org/10.1002/ece3.7289, 2021.
Mazarrasa, I., Marbà, N., Lovelock, C. E., Serrano, O., Lavery, P. S., Fourqurean, J. W., Kennedy, H., Mateo, M. A., Krause-Jensen, D., Steven, A. D. L., and Duarte, C. M.: Seagrass meadows as a globally significant carbonate reservoir, Biogeosciences, 12, 4993–5003, https://doi.org/10.5194/bg-12-4993-2015, 2015.
Medeiros, I. P. M. and Souza, M. M.: Acid times in physiology: a systematic review of the effects of ocean acidification on calcifying invertebrates, Environ. Res., 231, 116019, https://doi.org/10.1016/j.envres.2023.116019, 2023
Meinshausen, M., Smith, S. J., Calvin, K., Daniel, J. S., Kainuma, M. L. T., Lamargue, J.-F., Matsumoto, L., Montzka, S. A., Raper, S. C. B., Riahi, K., Thomson, A., Velders, G. J. M., and van Vuuren, D. P. P.: The RCP greenhouse gas concentrations and their extensions from 1765 to 2300, Climatic Change, 109, 213, https://doi.org/10.1007/s10584-011-0156-z, 2011.
Melzner, F., Mark, F. C., Seibel, B. A., and Tomanek, L.: Ocean acidification and coastal marine invertebrates: tracking CO2 effects from seawater to the cell, Annu. Rev. Mar. Sci., 12, 499–523, https://doi.org/10.1146/annurev-marine-010419-010658, 2020.
Mitchell, M., Herman, J., Bilkovic, D. M., and Hershner, C.: Marsh persistence under sea-level rise is controlled by multiple, geologically variable stressors, Ecosyst. Heal. Sustain., 3, 1379888, https://doi.org/10.1080/20964129.2017.1396009, 2017.
Mizuta, D. D., Silveira, N., Fischer, C. E., and Lemos, D.: Interannual variation in commercial oyster (Crassostrea gigas) farming in the sea (Florianópolis, Brazil, 27°44′ S; 48°33′ W) in relation to temperature, chlorophyll a and associated oceanographic conditions, Aquaculture, 366, 105–114, https://doi.org/10.1016/j.aquaculture.2012.09.011, 2012.
Moore, K. A., Orth, R. J., and Wilcox, D. J.: Assessment of the Abundance of Submersed Aquatic Vegetation (SAV) Communities in the Chesapeake Bay and its Use in SAV Management, in: Remote Sensing and Geospatial Technologies for Coastal Ecosystem Assessment and Management, Springer, Berlin, Heidelberg, 233–257, https://doi.org/10.1007/978-3-540-88183-4, 2009.
Moore-Maley, B. L., Allen, S. E., and Ianson, D.: Locally driven interannual variability of near-surface pH and ΩA in the Strait of Georgia, J. Geophys. Res.-Ocean., 121, 1600–1625, https://doi.org/10.1002/2015jc011118, 2016.
Moriarty, J. M., Friedrichs, M. A. M., and Harris, C. K.: Seabed Resuspension in the Chesapeake Bay: Implications for Biogeochemical Cycling and Hypoxia, Estuar. Coast., 44, 103–122, https://doi.org/10.1007/s12237-020-00763-8, 2021.
Najjar, R. G., Herrmann, M., Valle, S. M. C. D., Friedman, J. R., Friedrichs, M. A. M., Harris, L. A., Shadwick, E. H., Stets, E. G., and Woodland, R. J.: Alkalinity in Tidal Tributaries of the Chesapeake Bay, J. Geophys. Res.-Ocean., 125, e2019JC015597, https://doi.org/10.1029/2019jc015597, 2020.
Ni, W., Li, M., and Testa, J. M.: Discerning effects of warming, sea level rise and nutrient management on long-term hypoxia trends in Chesapeake Bay, Sci. Total Environ., 737, 139717, https://doi.org/10.1016/j.scitotenv.2020.139717, 2020.
Nixon, S. W.: Coastal marine eutrophication: A definition, social causes, and future concerns, Ophelia, 41, 199–219, https://doi.org/10.1080/00785236.1995.10422044, 1995.
Nichols, M. M., Kim, S. C., and Brouwer, C. M.: Sediment Characterization of Chesaapeake Bay and Its Tributaries, https://doi.org/10.21220/V5BQ60, 1991.
Olson, M.: Guide to Using Chesapeake Bay Program Water Quality Monitoring Data, Chesapeake Bay Program, Annapolis, MD, 2012.
Orr, J. C., Fabry, V. J., Aumont, O., Bopp, L., Doney, S. C., Feely, R. A., Gnanadesikan, A., Gruber, N., Ishida, A., Joos, F., and Key, R. M.: Anthropogenic ocean acidification over the twenty-first century and its impact on calcifying organisms, Nature, 437, 681–686, https://doi.org/10.1038/nature04095, 2005.
Orth, R. J., Nowak, J. F., Wilcox, D. J., Whiting, J. R., and Nagey, L. S.: Distribution of Submerged Aquatic Vegetation in the Chesapeake Bay and Tributaries and the Coastal Bays, Am. Zool., 3, 315–317, https://doi.org/10.1093/icb/3.3.315, 1998.
Pacella, S. R., Brown, C. A., Kaldy, J. E., Labiosa, R. G., Hales, B., Mochon Collura, T. C., and Waldbusser, G. G.: Quantifying the combined impacts of anthropogenic CO2 emissions and watershed alteration on estuary acidification at biologically-relevant time scales: a case study from Tillamook Bay, OR, USA, Front. Mar. Sci., 11, 1293955, https://doi.org/10.3389/fmars.2024.1293955, 2024.
Palmer, S. C. J., Gernez, P. M., Thomas, Y., Simis, S., Miller, P. I., Glize, P., and Barillé, L.: Remote Sensing-Driven Pacific Oyster (Crassostrea gigas) Growth Modeling to Inform Offshore Aquaculture Site Selection, Front. Mar. Sci., 6, 802, https://doi.org/10.3389/fmars.2019.00802, 2020.
Palmer, S. C. J., Barillé, L., Kay, S., Ciavatta, S., Buck, B., and Gernez, P.: Pacific oyster (Crassostrea gigas) growth modelling and indicators for offshore aquaculture in Europe under climate change uncertainty, Aquaculture, 532, 736116, https://doi.org/10.1016/j.aquaculture.2020.736116, 2021.
Paynter, K. T., Goodwin, J. D., Chen, M. E., Ward, N. J., Sherman, M. W., Meritt, D. W., and Allen, S. K.: Crassostrea ariakensis in Chesapeake Bay: Growth, Disease and Mortality in Shallow Subtidal Environments, J. Shellfish Res., 27, 509–515, https://doi.org/10.2983/0730-8000(2008)27[509:caicbg]2.0.co;2, 2008.
Poach, M., Munroe, D., Vasslides, J., Abrahamsen, I., and Coffey, N.: Monitoring coastal acidification along the US East coast: concerns for shellfish production, Bull. Jap. Fish. Res. Edu. Agen. No, 49, 53–64, 2019.
Ramajo, L., Pérez-León, E., Hendriks, I. E., Marbà, N., Krause-Jensen, D., Sejr, M. K., Blicher, M. E., Lagos, N. A., Olsen, Y. S., and Duarte, C. M.: Food supply confers calcifiers resistance to ocean acidification, Sci. Rep., 6, 19374, https://doi.org/10.1038/srep19374, 2016.
Raymond, P. A., Bauer, J. E., and Cole, J. J.: Atmospheric CO2 evasion, dissolved inorganic carbon production, and net heterotrophy in the York River estuary, Limnol. Oceanogr., 45, 1707–1717, https://doi.org/10.4319/lo.2000.45.8.1707, 2000.
Riahi, K., Rao, S., Krey, V., Cho, C., Chirkov, V., Fischer, G., Kindermann, G., Nakicenovic, N., and Rafaj, P.: RCP8.5 – A scenario of comparatively high greenhouse gas emissions, Climatic Change, 109, 33, https://doi.org/10.1007/s10584-011-0149-y, 2011.
Redfield, A. C.: On the proportions of organic derivatives in sea water and their relation to the composition of plankton, University Press of Liverpool, Liverpool, UK, 1934.
Reid, J. M., Reid, J. A., Jenkins, C. J., Hastings, M. E., Williams, S. J., and Poppe, L. J.: usSEABED: Atlantic coast offshore surficial sediment data release, US Geological Survey Data Series, 118, https://doi.org/10.3133/ds118, 2005.
Rivest, E. B., Brush, M. J., Zimmerman, R. C., Hill, V. J., Widrick, A., Blachman, S., and Sisti, A.: Ocean acidification thresholds for eastern oysters, in: Proceedings of the ASLO/AGU/TOS Ocean Sciences Meeting, San Diego, CA, 16–21 February, 2020.
Rybovich, M., Peyre, M. K. L., Hall, S. G., and Peyre, J. F. L.: Increased Temperatures Combined with Lowered Salinities Differentially Impact Oyster Size Class Growth and Mortality, J. Shellfish Res., 35, 101–113, https://doi.org/10.2983/035.035.0112, 2016.
Saavedra, L., Bastías, M., Mendoza, P., Lagos, N. A., García-Herrera, C., Ponce, V., Alvarez, F., and Llanos-Rivera, A.: Environmental correlates of oyster farming in an upwelling system: Implication upon growth, biomass production, shell strength and organic composition, Mar. Environ. Res., 198, 106489, https://doi.org/10.1016/j.marenvres.2024.106489, 2024.
Salisbury, J., Green, M., Hunt, C., and Campbell, J.: Coastal Acidification by Rivers: A Threat to Shellfish?, Eos, Trans. Am. Geophys. Union, 89, 513–513, https://doi.org/10.1029/2008eo500001, 2008.
Schwaner, C., Barbosa, M., Schwemmer, T. G., Espinosa, E. P., and Allam, B.: Increased Food Resources Help Eastern Oyster Mitigate the Negative Impacts of Coastal Acidification, Animals, 13, 1161, https://doi.org/10.3390/ani13071161, 2023.
Seneviratne, S. I., Nicholls, N., Easterling, D., Goodess, C. M., Kanae, S., Kossin, J., Luo, Y., Marengo, J., McInnes, K., Rahimi, M., Reichstein, M., Sorteberg, A., Vera, C., Zhang, X., Rusticucci, M., Semenov, V., Alexander, L. V., Allen, S., Benito, G., Cavazos, T., Clague, J., Conway, D., Della-Marta, P. M., Gerber, M., Gong, S., Goswami, B. N., Hemer, M., Huggel, C., van den Hurk, B., Kharin, V. V., Kitoh, A., Klein Tank, A. M. G., Li, G., Mason, S., McGuire, W., van Oldenborgh, G. J., Orlowsky, B., Smith, S., Thiaw, W., Velegrakis, A., Yiou, P., Zhang, T., Zhou, T., and Zwiers, F. W.: Changes in climate extremes and their impacts on the natural physical environment, in: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (SREX), edited by: Field, C. B., Barros, V., Stocker, T. F., and Dahe, Q., Cambridge University Press, Cambridge, UK and New York, NY, USA, 109–230, https://doi.org/10.1017/CBO9781139177245.006, 2012.
Simone, M. N., Schulz, K. G., Oakes, J. M., and Eyre, B. D.: Warming and ocean acidification may decrease estuarine dissolved organic carbon export to the ocean, Biogeosciences, 18, 1823–1838, https://doi.org/10.5194/bg-18-1823-2021, 2021.
Shadwick, E. H., Friedrichs, M. A. M., Najjar, R. G., Meo, O. A. D., Friedman, J. R., Da, F., and Reay, W. G.: High-Frequency CO2 System Variability Over the Winter-to-Spring Transition in a Coastal Plain Estuary, J. Geophys. Res.-Ocean., 124, 7626–7642, https://doi.org/10.1029/2019jc015246, 2019.
Shchepetkin, A. F. and McWilliams, J. C.: The regional oceanic modeling system (ROMS): a split-explicit, free-surface, topography-following-coordinate oceanic model, Ocean Model., 9, 347–404, https://doi.org/10.1016/j.ocemod.2004.08.002, 2005.
Shen, C., Testa, J. M., Li, M., Cai, W., Waldbusser, G. G., Ni, W., Kemp, W. M., Cornwell, J., Chen, B., Brodeur, J., and Su, J.: Controls on Carbonate System Dynamics in a Coastal Plain Estuary: A Modeling Study, J. Geophys. Res.-Biogeo., 124, 61–78, https://doi.org/10.1029/2018jg004802, 2019a.
Shen, C., Testa, J. M., Ni, W., Cai, W., Li, M., and Kemp, W. M.: Ecosystem Metabolism and Carbon Balance in Chesapeake Bay: A 30-Year Analysis Using a Coupled Hydrodynamic-Biogeochemical Model, J. Geophys. Res.-Ocean., 124, 6141–6153, https://doi.org/10.1029/2019jc015296, 2019b.
Shen, C., Testa, J. M., Li, M., and Cai, W.: Understanding Anthropogenic Impacts on pH and Aragonite Saturation State in Chesapeake Bay: Insights From a 30-Year Model Study, J. Geophys. Res.-Biogeo., 125, e2019JG005620, https://doi.org/10.1029/2019jg005620, 2020.
Siedlecki, S. A., Pilcher, D., Howard, E. M., Deutsch, C., MacCready, P., Norton, E. L., Frenzel, H., Newton, J., Feely, R. A., Alin, S. R., and Klinger, T.: Coastal processes modify projections of some climate-driven stressors in the California Current System, Biogeosciences, 18, 2871–2890, https://doi.org/10.5194/bg-18-2871-2021, 2021a.
Siedlecki, S., Salisbury, J., Gledhill, D., Bastidas, C., Meseck, S., McGarry, K., Hunt, C., Alexander, M., Lavoie, D., Wang, Z., Scott, J., Brady, D., Mlsna, I., Azetsu-Scott, K., Liberti, C., Melrose, D., White, M., Pershing, A., Vandemark, D., Townsend, D., Chen, C., Mook, W., and Morrison, R.: Projecting ocean acidification impacts for the Gulf of Maine to 2050, Elem.-Sci. Anthr., 9, 62, https://doi.org/10.1525/elementa.2020.00062, 2021b.
Speights, C. J., Silliman, B. R., and McCoy, M. W.: The effects of elevated temperature and dissolved ρCO2 on a marine foundation species, Ecol. Evol., 7, 3808–3814, https://doi.org/10.1002/ece3.2969, 2017.
Simpson, E., Ianson, D., Kohfeld, K. E., Franco, A. C., Covert, P. A., Davelaar, M., and Perreault, Y.: Variability and drivers of carbonate chemistry at shellfish aquaculture sites in the Salish Sea, British Columbia, Biogeosciences, 21, 1323–1353, https://doi.org/10.5194/bg-21-1323-2024, 2024.
Stevens, A. and Gobler, C.: Interactive effects of acidification, hypoxia, and thermal stress on growth, respiration, and survival of four North Atlantic bivalves, Mar. Ecol. Prog. Ser., 604, 143–161, https://doi.org/10.3354/meps12725, 2018.
St-Laurent, P. and Friedrichs, M. A. M.: On the Sensitivity of Coastal Hypoxia to Its External Physical Forcings, J. Adv. Model. Earth Syst., 16, e2023MS003845, https://doi.org/10.1029/2023ms003845, 2024.
St-Laurent, P., Friedrichs, M. A. M., Najjar, R. G., Shadwick, E. H., Tian, H., and Yao, Y.: Relative impacts of global changes and regional watershed changes on the inorganic carbon balance of the Chesapeake Bay, Biogeosciences, 17, 3779–3796, https://doi.org/10.5194/bg-17-3779-2020, 2020.
Su, J., Cai, W.-J., Brodeur, J., Chen, B., Hussain, N., Yao, Y., Ni, C., Testa, J. M., Li, M., Xie, X., Ni, W., Scaboo, K. M., Xu, Y., Cornwell, J., Gurbisz, C., Owens, M. S., Waldbusser, G. G., Dai, M., and Kemp, W. M.: Chesapeake Bay acidification buffered by spatially decoupled carbonate mineral cycling, Nat. Geosci., 13, 441–447, https://doi.org/10.1038/s41561-020-0584-3, 2020.
Swam, L. M., Couvillion, B., Callam, B., Peyre, J. F. L., and Peyre, M. K. L.: Defining oyster resource zones across coastal Louisiana for restoration and aquaculture, Ocean Coast. Manag., 225, 106178, https://doi.org/10.1016/j.ocecoaman.2022.106178, 2022.
Talmage, S. C. and Gobler, C. J.: Effects of Elevated Temperature and Carbon Dioxide on the Growth and Survival of Larvae and Juveniles of Three Species of Northwest Atlantic Bivalves, PLoS ONE, 6, e26941, https://doi.org/10.1371/journal.pone.0026941, 2011.
Tian, R., Cerco, C. F., Bhatt, G., Linker, L. C., and Shenk, G. W.: Mechanisms Controlling Climate Warming Impact on the Occurrence of Hypoxia in Chesapeake Bay, J. Am. Water Resour. Assoc., 58, 855–875, https://doi.org/10.1111/1752-1688.12907, 2022.
Thomsen, J., Haynert, K., Wegner, K. M., and Melzner, F.: Impact of seawater carbonate chemistry on the calcification of marine bivalves, Biogeosciences, 12, 4209–4220, https://doi.org/10.5194/bg-12-4209-2015, 2015.
Turner, J. S., St-Laurent, P., Friedrichs, M. A. M., and Friedrichs, C. T.: Effects of reduced shoreline erosion on Chesapeake Bay water clarity, Sci. Total Environ., 769, 145157, https://doi.org/10.1016/j.scitotenv.2021.145157, 2021.
USDA: National Agricultural Statistics Service, 2023 Census of Aquaculture, https://www.nass.usda.gov/Publications/AgCensus/2022/Online_Resources/Aquaculture/index.php (last access: 28 January 2024), 2023.
Lewis, E. and Wallace, D. W. R.: Program Developed for CO2 System Calculations, ORNL/CDIAC-105, Carbon Dioxide Inf. Anal. Cent., Oak Ridge Natl. Lab., Oak Ridge, TN, 38 pp., https://salish-sea.pnnl.gov/media/ORNL-CDIAC-105.pdf (last access: 28 January 2024), 1998.
VOSARA: https://cmap22.vims.edu/VOSARA/, last access: 28 January 2024.
Waldbusser, G. G., Voigt, E. P., Bergschneider, H., Green, M. A., and Newell, R. I. E.: Biocalcification in the Eastern Oyster (Crassostrea virginica) in Relation to Long-term Trends in Chesapeake Bay pH, Estuar. Coast., 34, 221–231, https://doi.org/10.1007/s12237-010-9307-0, 2011.
Wallace, R. B., Baumann, H., Grear, J. S., Aller, R. C., and Gobler, C. J.: Coastal ocean acidification: The other eutrophication problem, Estuar., Coast. Shelf Sci., 148, 1–13, https://doi.org/10.1016/j.ecss.2014.05.027, 2014.
Warner, J. C., Defne, Z., Haas, K., and Arango, H. G.: A wetting and drying scheme for ROMS, Comput. Geosci., 58, 54–61, https://doi.org/10.1016/j.cageo.2013.05.004, 2013.
Zhang, Q., Fisher, T. R., Trentacoste, E. M., Buchanan, C., Gustafson, A. B., Karrh, R., Murphy, R. R., Keisman, J., Wu, C., Tian, R., Testa, J. M., and Tango, P. J.: Nutrient limitation of phytoplankton in Chesapeake Bay: Development of an empirical approach for water-quality management, Water Res., 188, 116407, https://doi.org/10.1016/j.watres.2020.116407, 2021.
Short summary
Under future acidification, warming, and nutrient management, substantial reductions in shell and tissue weights of Eastern oysters are projected for the Chesapeake Bay. Lower oyster growth rates will be largely driven by reduced calcium carbonate saturation states and reduced food availability. Oyster aquaculture practices in the region will likely be affected, with site selection becoming increasingly important as impacts will be highly spatially variable.
Under future acidification, warming, and nutrient management, substantial reductions in shell...
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