Articles | Volume 18, issue 5
https://doi.org/10.5194/bg-18-1719-2021
© Author(s) 2021. 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-18-1719-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Mar 2021
Research article |
| 11 Mar 2021
| 11 Mar 2021
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
Tobias R. Vonnahme
CORRESPONDING AUTHOR
Department of Arctic and Marine Biology, UiT – The Arctic University
of Norway, Tromsø, Norway
Martial Leroy
Université Grenoble Alpes, Grenoble, France
Silke Thoms
Department of Biogeosciences, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven,
Germany
Dick van Oevelen
Department of Estuarine and Delta Systems, Royal Netherlands
Institute for Sea Research (NIOZ), and Utrecht University, Texel, Yerseke,
the Netherlands
H. Rodger Harvey
Department of Ocean and Earth Sciences, Old Dominion University,
Norfolk, USA
Svein Kristiansen
Department of Arctic and Marine Biology, UiT – The Arctic University
of Norway, Tromsø, Norway
Rolf Gradinger
Department of Arctic and Marine Biology, UiT – The Arctic University
of Norway, Tromsø, Norway
Ulrike Dietrich
Department of Arctic and Marine Biology, UiT – The Arctic University
of Norway, Tromsø, Norway
Christoph Völker
Department of Biogeosciences, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven,
Germany
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We describe the impact of subglacial discharge in early spring on a sea-ice-covered fjord on Svalbard by comparing a site influenced by a shallow tidewater glacier with two reference sites. We found a moderate under-ice phytoplankton bloom at the glacier front, which we attribute to subglacial upwelling of nutrients; a strongly stratified surface layer; and higher light penetration. In contrast, sea ice algae biomass was limited by low salinities and brine volumes.
Massimiliano Molari, Felix Janssen, Tobias R. Vonnahme, Frank Wenzhöfer, and Antje Boetius
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Industrial-scale mining of deep-sea polymetallic nodules will remove nodules in large areas of the sea floor. We describe community composition of microbes associated with nodules of the Peru Basin. Our results show that nodules provide a unique ecological niche, playing an important role in shaping the diversity of the benthic deep-sea microbiome and potentially in element fluxes. We believe that our findings are highly relevant to expanding our knowledge of the impact associated with mining.
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Dissolved (DOM) and particulate organic matter (POM) are in constant exchange, but usually studied as distinct entities. We investigated the dynamics between POM and DOM in a sub-Arctic fjord across different seasons by conducting bi-monthly aggregation-dissolution experiments. During the productive period, POM concentrations increased in the experiment while DOM molecules became more recalcitrant. During the winter period, POM concentrations decreased whereas DOM molecules became more labile.
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Deep-sea sponge grounds are distributed globally and are considered hotspots of biological diversity and biogeochemical cycling. To date, little is known about the environmental constraints that control where deep-sea sponge grounds occur and what conditions favor high sponge biomass. Here, we characterize oceanographic conditions at two contrasting sponge grounds. Our results imply that sponges and associated fauna benefit from strong tidal currents and favorable regional ocean currents.
Christoph Heinze, Thorsten Blenckner, Peter Brown, Friederike Fröb, Anne Morée, Adrian L. New, Cara Nissen, Stefanie Rynders, Isabel Seguro, Yevgeny Aksenov, Yuri Artioli, Timothée Bourgeois, Friedrich Burger, Jonathan Buzan, B. B. Cael, Veli Çağlar Yumruktepe, Melissa Chierici, Christopher Danek, Ulf Dieckmann, Agneta Fransson, Thomas Frölicher, Giovanni Galli, Marion Gehlen, Aridane G. González, Melchor Gonzalez-Davila, Nicolas Gruber, Örjan Gustafsson, Judith Hauck, Mikko Heino, Stephanie Henson, Jenny Hieronymus, I. Emma Huertas, Fatma Jebri, Aurich Jeltsch-Thömmes, Fortunat Joos, Jaideep Joshi, Stephen Kelly, Nandini Menon, Precious Mongwe, Laurent Oziel, Sólveig Ólafsdottir, Julien Palmieri, Fiz F. Pérez, Rajamohanan Pillai Ranith, Juliano Ramanantsoa, Tilla Roy, Dagmara Rusiecka, J. Magdalena Santana Casiano, Yeray Santana-Falcón, Jörg Schwinger, Roland Séférian, Miriam Seifert, Anna Shchiptsova, Bablu Sinha, Christopher Somes, Reiner Steinfeldt, Dandan Tao, Jerry Tjiputra, Adam Ulfsbo, Christoph Völker, Tsuyoshi Wakamatsu, and Ying Ye
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-182, https://doi.org/10.5194/bg-2023-182, 2023
Preprint under review for BG
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For assessing the consequences of human-induced climate change for the marine realm, it is necessary to not only look at gradual changes but also at abrupt changes of environmental conditions. We summarise abrupt changes in ocean warming, acidification, and oxygen concentration as the key environmental factors for ecosystems. Taking these abrupt changes into account requires greenhouse gas emissions to be reduced to a larger extent than previously thought to limit respective damage.
Claudia Hinrichs, Peter Köhler, Christoph Völker, and Judith Hauck
Biogeosciences, 20, 3717–3735, https://doi.org/10.5194/bg-20-3717-2023, https://doi.org/10.5194/bg-20-3717-2023, 2023
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This study evaluated the alkalinity distribution in 14 climate models and found that most models underestimate alkalinity at the surface and overestimate it in the deeper ocean. It highlights the need for better understanding and quantification of processes driving alkalinity distribution and calcium carbonate dissolution and the importance of accounting for biases in model results when evaluating potential ocean alkalinity enhancement experiments.
Ying Ye, Guy Munhoven, Peter Köhler, Martin Butzin, Judith Hauck, Özgür Gürses, and Christoph Völker
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-181, https://doi.org/10.5194/gmd-2023-181, 2023
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Many biogeochemistry models assume all material reaching the seafloor is remineralized and returned to solution, which is sufficient for studies on short-term climate change. Under long-term climate change the storage of carbon in sediments slows down carbon cycling and influences feedbacks in the atmosphere-ocean-sediment system. Here we coupled a sediment model to an ocean biogeochemistry model and found a shift of carbon storage from the atmosphere to the ocean-sediment system.
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Tobias Reiner Vonnahme, Emma Persson, Ulrike Dietrich, Eva Hejdukova, Christine Dybwad, Josef Elster, Melissa Chierici, and Rolf Gradinger
The Cryosphere, 15, 2083–2107, https://doi.org/10.5194/tc-15-2083-2021, https://doi.org/10.5194/tc-15-2083-2021, 2021
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We describe the impact of subglacial discharge in early spring on a sea-ice-covered fjord on Svalbard by comparing a site influenced by a shallow tidewater glacier with two reference sites. We found a moderate under-ice phytoplankton bloom at the glacier front, which we attribute to subglacial upwelling of nutrients; a strongly stratified surface layer; and higher light penetration. In contrast, sea ice algae biomass was limited by low salinities and brine volumes.
Massimiliano Molari, Felix Janssen, Tobias R. Vonnahme, Frank Wenzhöfer, and Antje Boetius
Biogeosciences, 17, 3203–3222, https://doi.org/10.5194/bg-17-3203-2020, https://doi.org/10.5194/bg-17-3203-2020, 2020
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Industrial-scale mining of deep-sea polymetallic nodules will remove nodules in large areas of the sea floor. We describe community composition of microbes associated with nodules of the Peru Basin. Our results show that nodules provide a unique ecological niche, playing an important role in shaping the diversity of the benthic deep-sea microbiome and potentially in element fluxes. We believe that our findings are highly relevant to expanding our knowledge of the impact associated with mining.
Scarlett Trimborn, Silke Thoms, Pascal Karitter, and Kai Bischof
Biogeosciences, 16, 2997–3008, https://doi.org/10.5194/bg-16-2997-2019, https://doi.org/10.5194/bg-16-2997-2019, 2019
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Ecophysiological studies on Antarctic cryptophytes to assess whether climatic changes such as ocean acidification and enhanced stratification affect their growth in Antarctic coastal waters in the future are lacking so far. Our results reveal beneficial effects of ocean acidification in conjunction with enhanced irradiance on growth and photosynthesis of the Antarctic cyrptophyte Geminigera cryophila. Hence, cryptophytes such as G. cryophila may be potential winners of these climatic changes.
Tanja Stratmann, Lidia Lins, Autun Purser, Yann Marcon, Clara F. Rodrigues, Ascensão Ravara, Marina R. Cunha, Erik Simon-Lledó, Daniel O. B. Jones, Andrew K. Sweetman, Kevin Köser, and Dick van Oevelen
Biogeosciences, 15, 4131–4145, https://doi.org/10.5194/bg-15-4131-2018, https://doi.org/10.5194/bg-15-4131-2018, 2018
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Extraction of polymetallic nodules will have negative impacts on the deep-sea ecosystem, but it is not known whether the ecosystem is able to recover from them. Therefore, in 1989 a sediment disturbance experiment was conducted in the Peru Basin to mimic deep-sea mining. Subsequently, the experimental site was re-visited 5 times to monitor the recovery of fauna. We developed food-web models for all 5 time steps and found that, even after 26 years, carbon flow in the system differs significantly.
Dick van Oevelen, Christina E. Mueller, Tomas Lundälv, and Jack J. Middelburg
Biogeosciences, 13, 5789–5798, https://doi.org/10.5194/bg-13-5789-2016, https://doi.org/10.5194/bg-13-5789-2016, 2016
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Cold-water corals form true hotspots of biodiversity in the cold and dark deep sea, but need to live off of only small amounts of food that reach the deep sea. Using chemical tracers, this study investigated whether cold-water corals are picky eaters. We found that under low food conditions, they do not differentiate between food sources but they do differentiate at high food concentrations. This adaptation suggests that they are well adapted to exploit short food pulses efficiently.
Charlotte Laufkötter, Meike Vogt, Nicolas Gruber, Olivier Aumont, Laurent Bopp, Scott C. Doney, John P. Dunne, Judith Hauck, Jasmin G. John, Ivan D. Lima, Roland Seferian, and Christoph Völker
Biogeosciences, 13, 4023–4047, https://doi.org/10.5194/bg-13-4023-2016, https://doi.org/10.5194/bg-13-4023-2016, 2016
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C. Laufkötter, M. Vogt, N. Gruber, M. Aita-Noguchi, O. Aumont, L. Bopp, E. Buitenhuis, S. C. Doney, J. Dunne, T. Hashioka, J. Hauck, T. Hirata, J. John, C. Le Quéré, I. D. Lima, H. Nakano, R. Seferian, I. Totterdell, M. Vichi, and C. Völker
Biogeosciences, 12, 6955–6984, https://doi.org/10.5194/bg-12-6955-2015, https://doi.org/10.5194/bg-12-6955-2015, 2015
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We analyze changes in marine net primary production (NPP) and its drivers for the 21st century in 9 marine ecosystem models under the RCP8.5 scenario. NPP decreases in 5 models and increases in 1 model; 3 models show no significant trend. The main drivers include stronger nutrient limitation, but in many models warming-induced increases in phytoplankton growth outbalance the nutrient effect. Temperature-driven increases in grazing and other loss processes cause a net decrease in biomass and NPP.
P. R. Halloran, B. B. B. Booth, C. D. Jones, F. H. Lambert, D. J. McNeall, I. J. Totterdell, and C. Völker
Biogeosciences, 12, 4497–4508, https://doi.org/10.5194/bg-12-4497-2015, https://doi.org/10.5194/bg-12-4497-2015, 2015
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The oceans currently take up around a quarter of the carbon dioxide (CO2) emitted by human activity. While stored in the ocean, this CO2 is not causing global warming. Here we explore high latitude North Atlantic CO2 uptake across a set of climate model simulations, and find that the models show a peak in ocean CO2 uptake around the middle of the century after which time CO2 uptake begins to decline. We identify the causes of this long-term change and interannual variability in the models.
A. Mewes, G. Langer, S. Thoms, G. Nehrke, G.-J. Reichart, L. J. de Nooijer, and J. Bijma
Biogeosciences, 12, 2153–2162, https://doi.org/10.5194/bg-12-2153-2015, https://doi.org/10.5194/bg-12-2153-2015, 2015
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A culture study with the benthic foraminifer Amphistegina lessonii was conducted at varying seawater [Ca2+] and constant [Mg2+]. Results showed optimum growth rates and test thickness at ambient seawater Mg/Ca and a calcite Mg/Ca which is controlled by the relative seawater ratio. Results support the conceptual biomineralization model by Nehrke et al. (2013); however, our refined flux-based model suggests transmembrane transport fractionation that is slightly weaker than expected.
V. Schourup-Kristensen, D. Sidorenko, D. A. Wolf-Gladrow, and C. Völker
Geosci. Model Dev., 7, 2769–2802, https://doi.org/10.5194/gmd-7-2769-2014, https://doi.org/10.5194/gmd-7-2769-2014, 2014
C. E. Mueller, A. I. Larsson, B. Veuger, J. J. Middelburg, and D. van Oevelen
Biogeosciences, 11, 123–133, https://doi.org/10.5194/bg-11-123-2014, https://doi.org/10.5194/bg-11-123-2014, 2014
L. Pozzato, D. Van Oevelen, L. Moodley, K. Soetaert, and J. J. Middelburg
Biogeosciences, 10, 6879–6891, https://doi.org/10.5194/bg-10-6879-2013, https://doi.org/10.5194/bg-10-6879-2013, 2013
K. Soetaert, D. van Oevelen, and S. Sommer
Biogeosciences, 9, 5341–5352, https://doi.org/10.5194/bg-9-5341-2012, https://doi.org/10.5194/bg-9-5341-2012, 2012
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David Talmy, Eric Carr, Harshana Rajakaruna, Selina Våge, and Anne Willem Omta
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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.
Gabriela Negrete-García, Jessica Y. Luo, Colleen M. Petrik, Manfredi Manizza, and Andrew D. Barton
EGUsphere, https://doi.org/10.5194/egusphere-2024-953, https://doi.org/10.5194/egusphere-2024-953, 2024
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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
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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
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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.
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.
Cyril Dutheil, Olivier Aumont, Thomas Gorguès, Anne Lorrain, Sophie Bonnet, Martine Rodier, Cécile Dupouy, Takuhei Shiozaki, and Christophe Menkes
Biogeosciences, 15, 4333–4352, https://doi.org/10.5194/bg-15-4333-2018, https://doi.org/10.5194/bg-15-4333-2018, 2018
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N2 fixation is recognized as one of the major sources of nitrogen in the ocean. Thus, N2 fixation sustains a significant part of the primary production (PP) by supplying the most common limiting nutrient for phytoplankton growth. From numerical simulations, the local maximums of Trichodesmium biomass in the Pacific are found around islands, explained by the iron fluxes from island sediments. We assessed that 15 % of the PP may be due to Trichodesmium in the low-nutrient, low-chlorophyll areas.
Akitomo Yamamoto, Ayako Abe-Ouchi, and Yasuhiro Yamanaka
Biogeosciences, 15, 4163–4180, https://doi.org/10.5194/bg-15-4163-2018, https://doi.org/10.5194/bg-15-4163-2018, 2018
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Millennial-scale changes in oceanic CO2 uptake due to global warming are simulated by a GCM and offline biogeochemical model. Sensitivity studies show that decreases in oceanic CO2 uptake are mainly caused by a weaker biological pump and seawater warming. Enhanced CO2 uptake due to weaker equatorial upwelling cancels out reduced CO2 uptake due to weaker AMOC and AABW formation. Thus, circulation change plays only a small direct role in reduction of CO2 uptake due to global warming.
Fabian A. Gomez, Sang-Ki Lee, Yanyun Liu, Frank J. Hernandez Jr., Frank E. Muller-Karger, and John T. Lamkin
Biogeosciences, 15, 3561–3576, https://doi.org/10.5194/bg-15-3561-2018, https://doi.org/10.5194/bg-15-3561-2018, 2018
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Seasonal patterns in nanophytoplankton and diatom biomass in the Gulf of Mexico were examined with an ocean–biogeochemical model. We found silica limitation of model diatom growth in the deep GoM and Mississippi delta. Zooplankton grazing and both transport and vertical mixing of biomass substantially influence the model phytoplankton biomass seasonality. We stress the need for integrated analyses of biologically and physically driven biomass fluxes to describe phytoplankton seasonal changes.
Martí Galí, Maurice Levasseur, Emmanuel Devred, Rafel Simó, and Marcel Babin
Biogeosciences, 15, 3497–3519, https://doi.org/10.5194/bg-15-3497-2018, https://doi.org/10.5194/bg-15-3497-2018, 2018
Short summary
Short summary
We developed a new algorithm to estimate the sea-surface concentration of dimethylsulfide (DMS) using satellite data. DMS is a gas produced by marine plankton that, once emitted to the atmosphere, plays a key climatic role by seeding cloud formation. We used the algorithm to produce global DMS maps and also regional DMS time series. The latter suggest that DMS can vary largely from one year to another, which should be taken into account in atmospheric studies.
Cited articles
Aksnes, D. L. and Egge, J. K.: A theoretical model for nutrient uptake in
phytoplankton, Mar. Ecol. Prog. Ser., 70, 65–72, 1991.
Alcaraz, M., Almeda, R., Calbet, A., Saiz, E., Duarte, C. M., Lasternas, S.,
Agusti, S., Santiago, R., Movilla, J., and Alonso, A.: The role of arctic
zooplankton in biogeochemical cycles: respiration and excretion of ammonia
and phosphate during summer, Polar Biol., 33, 1719–1731, 2010.
Al Khudary, R., Stößer, N. I., Qoura, F., and Antranikian, G.:
Pseudoalteromonas arctica sp. nov., an aerobic, psychrotolerant, marine bacterium isolated from
Spitzbergen, Int. J. Syst. Evol. Microbiol., 58, 2018–2024, 2008.
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., and Lipman, D. J.: Basic
local alignment search tool, J. Mol. Biol., 215, 403–410, 1990.
Alver, M. O., Broch, O. J., Melle, W., Bagøien, E., and Slagstad, D.:
Validation of an Eulerian population model for the marine copepod Calanus finmarchicus in the
Norwegian Sea, J. Mar. Syst., 160, 81–93, 2016.
Amin, S. A., Parker, M. S., and Armbrust, E. V.: Interactions between
diatoms and bacteria, Microbiol. Mol. Biol. Rev., 76, 667–684, 2012.
Amin, S. A., Hmelo, L. R., Van Tol, H. M., Durham, B. P., Carlson, L. T.,
Heal, K. R., Morales, R. L., Berthiaume, C. T., Parker, M. S., Djunaedi, B.,
Ingalls, A. E., Parsek, M. R., Moran, M. A., and Armbrust, E. V.: Interaction
and signalling between a cosmopolitan phytoplankton and associated bacteria,
Nature, 522, 98–101, 2015.
Andersen, R. A. and Kawachi, M.: Microalgae isolation techniques, in: Algal
culturing techniques, edited by: Andersen, R. A., Elsevier, San Diego, London, 83–100, 2005.
Anju, M., Sreeush, M. G., Valsala, V., Smitha, B. R., Hamza, F., Bharathi,
G., and Naidu, C. V.: Understanding the role of nutrient limitation on
plankton biomass over Arabian Sea via 1-D coupled biogeochemical model and
Bio-Argo observations, J. Geophys. Res.-Oceans, 125, 1–28, https://doi.org/10.1029/2019JC015502, 2020.
Banse, K.: Zooplankton: pivotal role in the control of ocean production: I.
Biomass and production, ICES J. Mar. Sci., 52, 265–277, 1995.
Bertani, G.: Lysogeny at mid-twentieth century: P1, P2, and other
experimental systems, J. Bacteriol., 186, 595–600, 2004.
Bidle, K. D. and Azam, F.: Accelerated dissolution of diatom silica by
marine bacterial assemblages, Nature, 397, 508–512, 1999.
Booth, B. C., Larouche, P., Bélanger, S., Klein, B., Amiel, D., and Mei,
Z. P.: Dynamics of Chaetoceros socialis blooms in the North Water, Deep Sea Res., 49, 5003–5025, 2002.
Brun, R., Reichert, P., and Kunsch, H. R.: Practical identifiability analysis
of large environmental simulation models, Water Resour. Res. 37,
1015–1030, 2001.
Burdige, D. J. and Homstead, J.: Fluxes of dissolved organic carbon from
Chesapeake Bay sediments, Geochim. Cosmochim. Ac., 58, 3407–3424, 1994.
Christie-Oleza, J. A., Sousoni, D., Lloyd, M., Armengaud, J., and Scanlan,
D. J.: Nutrient recycling facilitates long-term stability of marine
microbial phototroph–heterotroph interactions, Nat. Microbiol., 2, 17100, https://doi.org/10.1038/nmicrobiol.2017.100,
2017.
Claquin, P., Martin-Jézéquel, V., Kromkamp, J. C., Veldhuis, M. J.
W., and Kraay, G. W.: Uncoupling of silicon compared with carbon and
nitrogen metabolisms and the role of the cell cycle in continuous cultures
of Thalassiosira pseudonana (Bacillariophyceae) under light, nitrogen, and phosphorus control, J.
Phycol., 38, 922–930, 2002.
Cleveland, J. S. and Perry, M. J.: Quantum yield, relative specific
absorption and fluorescence in nitrogen-limited Chaetoceros gracilis, Mar. Biol., 94,
489–497, 1987.
Conover, R. J. and Gustavson, K. R.: Sources of urea in arctic seas:
zooplankton metabolism, Mar. Ecol. Prog. Ser., 179, 41–54, 1999.
Degerlund, M. and Eilertsen, H. C.: Main species characteristics of
phytoplankton spring blooms in NE Atlantic and Arctic waters (68–80 N),
Estuar. Coast, 33, 242–269, 2010.
Dortch, Q.: The interaction between ammonium and nitrate uptake in
phytoplankton, Mar. Ecol. Prog. Ser., 61, 183–201, 1990.
Durant, J. M., Hjermann, D. Ø., Ottersen, G., and Stenseth, N. C.:
Climate and the match or mismatch between predator requirements and resource
availability, Clim. Res., 33, 271–283, 2007.
Egge, J. K. and Aksnes, D. L.: Silicate as regulating nutrient in
phytoplankton competition, Mar. Ecol. Prog. ser., 83, 281–289, 1992.
Eilertsen, H. C. and Frantzen, S.: Phytoplankton from two sub-Arctic fjords
in northern Norway 2002–2004: I. Seasonal variations in chlorophyll a and
bloom dynamics, Mar. Biol. Res., 3, 319–332, 2007.
Eilertsen, H. C., Taasen, J. P., and WesIawski, J. M.: Phytoplankton studies
in the fjords of West Spitzbergen: physical environment and production in
spring and summer, J. Plankton Res., 11, 1245–1260, 1989.
Eppley, R. W.: Autotrophic production of particulate matter, in: Analysis of marine ecosystems, edited by: Longhurst, A. R., Academic Press, New York, 343–361, 1981.
Eppley, R. W., Rogers, J. N., and McCarthy, J. J.: Half-saturation constants
for uptake of nitrate and ammonium by marine phytoplankton, Limnol.
Oceanogr., 14, 912–920, 1969.
Falkowski, P. G. and Oliver, M. J.: Mix and match: how climate selects
phytoplankton, Nat. Rev. Microbiol., 5, 813–819, 2007.
Field, C. B., Behrenfeld, M. J., Randerson, J. T., and Falkowski, P.:
Primary production of the biosphere: integrating terrestrial and oceanic
components, Science, 281, 237–240, 1998.
Firme, G. F., Rue, E. L., Weeks, D. A., Bruland, K. W., and Hutchins, D. A.:
Spatial and temporal variability in phytoplankton iron limitation along the
California coast and consequences for Si, N, and C biogeochemistry, Global
Biogeochem. Cy., 17, 1–13, https://doi.org/10.1029/2001GB001824, 2003.
Flynn, K. J.: Nitrate transport and ammonium-nitrate interactions at high
nitrate concentrations and low temperature, Mar. Ecol. Prog. Ser., 187,
283–287, 1999.
Flynn, K. J.: A mechanistic model for describing dynamic multi-nutrient,
light, temperature interactions in phytoplankton, J. Plankton Res., 23,
977–997, 2001.
Flynn, K. J.: Modelling multi-nutrient interactions in phytoplankton;
balancing simplicity and realism, Prog. Oceanogr., 56, 249–279, 2003.
Flynn, K. J. and Fasham, M. J.: A short version of the ammonium-nitrate
interaction model, J. Plankton Res., 19, 1881–1897, 1997.
Flynn, K. J., Fasham, M. J., and Hipkin, C. R.: Modelling the interactions
between ammonium and nitrate uptake in marine phytoplankton, Philos. T. R. Soc.
A, 352, 1625–1645, 1997.
Flynn, K. J., Marshall, H., and Geider, R. J.: A comparison of two
N-irradiance interaction models of phytoplankton growth, Limnol. Oceanogr.,
46, 1794–1802, 2001.
Flynn, K. J., Skibinski, D. O., and Lindemann, C.: Effects of growth rate,
cell size, motion, and elemental stoichiometry on nutrient transport
kinetics, PLoS Comput. Biol., 14, e1006118, https://doi.org/10.1371/journal.pcbi.1006118, 2018.
Fransner, F., Gustafsson, E., Tedesco, L., Vichi, M., Hordoir, R., Roquet,
F., Spilling, K., Kuznetsov, I., Eilola, K., Mörth, C., Humborg, C., and
Nycander, J.: Non-Redfieldian dynamics explain seasonal pCO2 drawdown in the
Gulf of Bothnia, J. Geophys. Res.-Oceans, 123, 166–188, 2017.
Fritz, M., Vonk, J. E., and Lantuit, H.: Collapsing arctic coastlines, Nat.
Clim. Chang, 7, 6–7, https://doi.org/10.1038/nclimate3188, 2017.
Fu, W., Randerson, J. T., and Moore, J. K.: Climate change impacts on net primary production (NPP) and export production (EP) regulated by increasing stratification and phytoplankton community structure in the CMIP5 models, Biogeosciences, 13, 5151–5170, https://doi.org/10.5194/bg-13-5151-2016, 2016.
Geider, R. and La Roche, J.: Redfield revisited: variability of C: N: P in
marine microalgae and its biochemical basis, Eur. J. Phycol., 37,
1–17, 2002.
Geider, R. J., Maclntyre, H. L., and Kana, T. M.: A dynamic regulatory model
of phytoplanktonic acclimation to light, nutrients, and temperature, Limnol.
Oceanogr., 43, 679–694, 1998.
Gilpin, L.: The influence of changes in nitrogen: silicon ratios on diatom
growth dynamics, J. Sea Res., 51, 21–35, 2004.
Goldman, J. C. and Caron, D. A.: Experimental studies on an omnivorous
microflagellate: implications for grazing and nutrient regeneration in the
marine microbial food chain, Deep Sea Res., 32, 899–915, 1985.
Gruber, N., Frenzel, H., Doney, S. C., Marchesiello, P., McWilliams, J. C.,
Moisan, J. R., Oram, J. J., Plattner, G., and Stolzenbach, K. D.:
Eddy-resolving simulation of plankton ecosystem dynamics in the California
Current System, Deep Sea Res., 53, 1483–1516,
2006.
Guillard, R. L. L.: Culture of phytoplankton for feeding marine
invertebrates, in: Culture of marine invertebrates animals, edited by:
Smith, W. L. and Chanley, M. H., Plenum Press, New York, USA, 29–60, 1975.
Haecky, P. and Andersson, A.: Primary and bacterial production in sea ice
in the northern Baltic Sea, Aquat. Microb. Ecol., 20, 107–118, 1999.
Harrison, W. G. and Cota, G. F.: Primary production in polar waters:
relation to nutrient availability, Polar Res., 10, 87–104, 1991.
Harrison, W. G., Head, E. J. H., Conover, R. J., Longhurst, A. R., and
Sameoto, D. D.: The distribution and metabolism of urea in the eastern
Canadian Arctic, Deep Sea Res., 32, 23–42, 1985.
Hauck, J., Völker, C., Wang, T., Hoppema, M., Losch, M., and
Wolf-Gladrow, D. A.: Seasonally different carbon flux changes in the
Southern Ocean in response to the southern annular mode, Global Biogeochem.
Cy., 27, 1–10, 2013.
Henson, S. A., Cole, H. S., Hopkins, J., Martin, A. P., and Yool, A.:
Detection of climate change-driven trends in phytoplankton phenology, Glob.
Change Biol., 24, 101–111, 2018.
Hildebrand, M.: Lack of coupling between silicon and other elemental
metabolisms in diatoms, J. Phycol., 38, 841–843, 2002.
Hohn, S.: A model of the carbon:nitrogen:silicon stoichiometry of diatoms
based on metabolic processes, PhD thesis, Universität Bremen, Bremen, Germany, 135 pp., 2009.
Hünken, M., Harder, J., and Kirst, G. O.: Epiphytic bacteria on the
Antarctic ice diatom Amphiprora kufferathii Manguin cleave hydrogen peroxide produced during algal
photosynthesis, Plant Biol., 10, 519–526, 2008.
Iversen, K. R. and Seuthe, L.: Seasonal microbial processes in a
high-latitude fjord (Kongsfjorden, Svalbard): I. Heterotrophic bacteria,
picoplankton and nanoflagellates, Polar Biol., 34, 731–749, 2011.
Jacobsen, T. R. and Rai, H.: Comparison of spectrophotometric, fluorometric
and high performance liquid chromatography methods for determination of
chlorophyll a in aquatic samples: effects of solvent and extraction
procedures, Int. Rev. ges. Hydrobio., 75, 207–217, 1990.
Johnson, M., Sanders, R., Avgoustidi, V., Lucas, M., Brown, L., Hansell, D.,
Moore, M., Gibb, S., Liss, P., and Jickells, T.: Ammonium accumulation
during a silicate-limited diatom bloom indicates the potential for ammonia
emission events, Mar. Chem., 106, 63–75, 2007.
Jansson, M., Hickler, T., Jonsson, A., and Karlsson, J.: Links between
terrestrial primary production and bacterial production and respiration in
lakes in a climate gradient in subarctic Sweden, Ecosystems, 11, 367–376,
2008.
Kamatani, A.: Dissolution rates of silica from diatoms decomposing at
various temperatures, Mar. Biol., 68, 91–96, 1982.
Keck, A. and Wassmann, P.: Temporal and spatial patterns of sedimentation
in the subarctic fjord Malangen, northern Norway, Sarsia, 80, 259–276, 1996.
Kim, S. J., Kim, B. G., Park, H. J., and Yim, J. H.: Cryoprotective
properties and preliminary characterization of exopolysaccharide (P-Arcpo
15) produced by the Arctic bacterium Pseudoalteromonas elyakovii Arcpo 15, Prep. Biochem. Biotechnol.,
46, 261–266, 2016.
Kirchman, D. L.: Uptake and regeneration of inorganic nutrients by
marine heterotrophic bacteria, in: Microbial ecology of the oceans, edited by: Kirchmann, D. L., John Wiley & Sons,
Kirchman, D. L., Morán, X. A. G., and Ducklow, H.: Microbial growth in
the polar oceans – role of temperature and potential impact of climate
change, Nat. Rev. Microbiol., 7, 451–459, 2009.
Kishi, M. J., Kashiwai, M., Ware, D. M., Megrey, B. A., Eslinger, D. L.,
Werner, F. E., Noguchi-Aita, M., Azumaya, T., Fujii, M., Hashimoto, S.,
Huang, D., Iizumi, H., Ishida, Y., Kang, S., Kantakov, G. A., Kim, H.,
Komatsu, K., Navrotsky, V. V., Smith, S. L., Tadokoro, K., Tsuda, A.,
Yamamura, O., Yamanaka, Y., Yokouchi, K., Yoshie, N., Zhang, J., Zuenko, Y.
I., and Zvalinsky, V. I.: NEMURO – a lower trophic level model for the
North Pacific marine ecosystem, Ecol. Model., 202, 12–25, 2007.
Krause, J. W., Schulz, I. K., Rowe, K. A., Dobbins, W., Winding, M. H.,
Sejr, M. K., Duarte, C. M., and Agustí, S.: Silicic acid limitation
drives bloom termination and potential carbon sequestration in an Arctic
bloom, Sci. Rep., 9, 1–11, 2019.
Lachmann, S. C., Mettler-Altmann, T., Wacker, A., and Spijkerman, E.:
Nitrate or ammonium: Influences of nitrogen source on the physiology of a
green algae, Ecol. Evol., 9, 1070–1082, 2019.
Lannuzel, D., Tedesco, L., Van Leeuwe, M., Campbell, K., Flores, H.,
Delille, B., Miller, L., Stefels, J., Assmy, P., Bowman, J., Brown, K.,
Castellani, G., Chierici, M., Crabeck, O., Damm, E., Else, B., Fransson, A.,
Fripiat, F., Geilfus, N., Jacques, C., Jones, E., Kaartokallio, H.,
Kotovitch, M., Meiners, K., Moreau, S., Nomura, D., Peeken, I., Rintala, J.,
Steiner, N., Tison, J., Vancoppenolle, M., van der Linden, F., Vichi, M.,
and Wongpan, P.: The future of Arctic sea-ice biogeochemistry and
ice-associated ecosystems, Nat. Clim. Change, 10, 1–10, 2020.
Lee, S. and Fuhrman, J. A.: Relationships between biovolume and biomass of
naturally derived marine bacterioplankton, Appl. Environ. Microbiol., 53,
1298–1303, 1987.
Legendre, L. and Rassoulzadegan, F.: Plankton and nutrient dynamics in
marine waters, Ophelia, 41, 153–172, 1995.
Le Quéré, C., Andrew, R. M., Canadell, J. G., Sitch, S., Korsbakken, J. I., Peters, G. P., Manning, A. C., Boden, T. A., Tans, P. P., Houghton, R. A., Keeling, R. F., Alin, S., Andrews, O. D., Anthoni, P., Barbero, L., Bopp, L., Chevallier, F., Chini, L. P., Ciais, P., Currie, K., Delire, C., Doney, S. C., Friedlingstein, P., Gkritzalis, T., Harris, I., Hauck, J., Haverd, V., Hoppema, M., Klein Goldewijk, K., Jain, A. K., Kato, E., Körtzinger, A., Landschützer, P., Lefèvre, N., Lenton, A., Lienert, S., Lombardozzi, D., Melton, J. R., Metzl, N., Millero, F., Monteiro, P. M. S., Munro, D. R., Nabel, J. E. M. S., Nakaoka, S., O'Brien, K., Olsen, A., Omar, A. M., Ono, T., Pierrot, D., Poulter, B., Rödenbeck, C., Salisbury, J., Schuster, U., Schwinger, J., Séférian, R., Skjelvan, I., Stocker, B. D., Sutton, A. J., Takahashi, T., Tian, H., Tilbrook, B., van der Laan-Luijkx, I. T., van der Werf, G. R., Viovy, N., Walker, A. P., Wiltshire, A. J., and Zaehle, S.: Global Carbon Budget 2016, Earth Syst. Sci. Data, 8, 605–649, https://doi.org/10.5194/essd-8-605-2016, 2016.
Lippemeier, S., Hartig, P., and Colijn, F.: Direct impact of silicate on the
photosynthetic performance of the diatom Thalassiosira weissflogii assessed
by on-and off-line PAM fluorescence measurements, J. Plankton Res., 21, 269–283,
1999.
Loebl, M., Colijn, F., van Beusekom, J. E., Baretta-Bekker, J. G., Lancelot,
C., Philippart, C. J., Rousseau, V., and Wiltshire, K. H.: Recent patterns
in potential phytoplankton limitation along the Northwest European
continental coast, J. Sea Res., 61, 34–43, 2009.
Ma, L. Y., Chi, Z. M., Li, J., and Wu, L. F.: Overexpression of alginate
lyase of Pseudoalteromonas elyakovii in Escherichia coli, purification, and
characterization of the recombinant alginate lyase, World J. Microbiol.
Biotechnol., 24, 89–96, 2008.
Martin-Jézéquel, V., Hildebrand, M., and Brzezinski, M. A.: Silicon
Metabolism in Diatoms: Implications for Growth, J. Phycol., 36, 821–840,
2000.
McCarthy, J. J. and Taylor, W. R.: and Taft, J. L., Nitrogenous nutrition of the plankton in the Chesapeake Bay, 1. Nutrient availability and phytoplankton preferences, Limnol. Oceanogr., 22, 996–1011, https://doi.org/10.4319/lo.1977.22.6.0996, 1977.
Mills, M. M., Brown, Z. W., Laney, S. R., Ortega-Retuerta, E., Lowry, K. E.,
Van Dijken, G. L., and Arrigo, K. R.: Nitrogen limitation of the summer
phytoplankton and heterotrophic prokaryote communities in the Chukchi Sea,
Front. Mar. Sci., 5, 362, https://doi.org/10.3389/fmars.2018.00362, 2018.
Moore, C. M., Mills, M. M., Arrigo, K. R., Berman-Frank, I., Bopp,L., Boyd,
P. W., Galbraith, E. D., Geider, R. J., Guieu, C., Jaccard, S. L.,
Jickells, T. D., La Roche, J., Lenton, T. M., Ma-howald, N. M., Maranon, E.,
Marinov, I., Moore, J. K., Nakat-suka, T., Oschlies, A., Saito, M. A.,
Thingstad, T. F., Tsuda, A., and Ulloa, O.: Processes and patterns of oceanic
nutrient limitation, Nat. Geosci., 6, 701–710, 2013.
Moore, J. K., Doney, S. C., and Lindsay, K.: Upper ocean ecosystem dynamics
and iron cycling in a global three-dimensional model, Global Biogeochem.
Cy., 18, GB4028, https://doi.org/10.1029/2004GB002220, 2004.
Morris, I.: Nitrogen assimilation and protein synthesis, in: Algal physiology and biochemistry, edited by: Stewart, W. D. P., University of California press, 583–609, 1974.
Mühlenbruch, M., Grossart, H. P., Eigemann, F., and Voss, M.:
Mini-review: Phytoplankton-derived polysaccharides in the marine environment
and their interactions with heterotrophic bacteria, Environ. Microbiol., 20,
2671–2685, 2018.
Nelson, D. M. and Gordon, L. I.: Production and pelagic dissolution of
biogenic silica in the Southern Ocean, Geochim. Cosmochim. Ac., 46,
491–501, 1982.
Nelson, D. M., Treguer, P., Brzezinski, M. A., Leynaert, A., and Queguiner,
B.: Production and dissolution of biogenic silica in the ocean: revised
global estimates, comparison with regional data and relationship to biogenic
sedimentation, Global Biogeochem. Cy., 9, 359–372, 1995.
Opdal, A. F., Lindemann, C., and Aksnes, D. L.: Centennial decline in North
Sea water clarity causes strong delay in phytoplankton bloom timing, Glob.
Change Biol., 25, 3946–3953, 2019.
Pahlow, M.: Linking chlorophyll-nutrient dynamics to the Redfield N: C ratio
with a model of optimal phytoplankton growth, Mar. Ecol. Prog. Ser., 287,
33–43, 2005.
Pedersen, M. F. and Borum, J.: Nutrient control of algal growth in
estuarine waters. Nutrient limitation and the importance of nitrogen
requirements and nitrogen storage among phytoplankton and species of
macroalgae, Mar. Ecol. Prog. Ser., 142, 261–272, 1996
Pella, E. and Colombo, B.: Study of carbon, hydrogen and nitrogen determination by
combustion-gas chromatography, Microchim. Ac., 61, 697–719, 1973.
Porter, K. G. and Feig, Y. S.: The use of DAPI for identifying and counting aquatic microflora, Limnol. Oceanogr., 25, 943–948, https://doi.org/10.4319/lo.1980.25.5.0943, 1980.
Price, W. L.: A controlled random search procedure for global optimisation, Computer J., 20, 367–370, 1977.
Ratkova, T. N. and Wassmann, P.: Seasonal variation and spatial distribution of
phyto- and protozooplankton in the central Barents Sea, J. Mar. Syst., 38,
47–75, 2002.
Redfield, A. C.: On the proportions of organic derivatives in sea water and their relation to the composition of plankton, James Johnstone memorial volume, 176–192, 1934.
Rey, F. and Skjoldal, H. R.: Consumption of silicic acid below the euphotic
zone by sedimenting diatom blooms in the Barents Sea, MEPS, 36, 307–312,
1987.
Ross, O. N. and Geider, R. J.: New cell-based model of photosynthesis and
photo-acclimation: accumulation and mobilisation of energy reserves in
phytoplankton, Mar. Ecol. Prog. Ser., 383, 53–71, 2009.
Saiz, E., Calbet, A., Isari, S., Anto, M., Velasco, E. M., Almeda, R.,
Movilla, J., and Alcaraz, M.: Zooplankton distribution and feeding in the
Arctic Ocean during a Phaeocystis pouchetii bloom, Deep Sea Res., 72,
17–33, 2013.
Schartau, M., Engel, A., Schröter, J., Thoms, S., Völker, C., and Wolf-Gladrow, D.: Modelling carbon overconsumption and the formation of extracellular particulate organic carbon, Biogeosciences, 4, 433–454, https://doi.org/10.5194/bg-4-433-2007, 2007.
Schourup-Kristensen, V., Wekerle, C., Wolf-Gladrow, D., and Völker, C.:
Arctic Ocean biogeochemistry in the high resolution FESOM 1.4-REcoM2 model,
Prog. Oceanogr., 168, 65–81, https://doi.org/10.1016/j.pocean.2018.09.006, 2018.
Slagstad, D., Wassmann, P. F., and Ellingsen, I.: Physical constrains and
productivity in the future Arctic Ocean, Front. Mar. Sci., 2, 1–23, https://doi.org/10.3389/fmars.2015.00085, 2015.
Smith, K. M., Kern, S., Hamlington, P. E., Zavatarelli, M., Pinardi, N., Klee, E. F., and Niemeyer, K. E.: BFM17 v1.0: Reduced-Order Biogeochemical Flux Model for Upper Ocean Biophysical Simulations, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2020-134, in review, 2020.
Soetaert, K. and Herman, P. M. J.: A Practical Guide to Ecological Modelling
– Using R as a Simulation Platform, Springer, Springer-Verlag, New York, 2009.
Soetaert, K. and Petzoldt, T.: Inverse Modelling, Sensitivity and Monte Carlo
Analysis in R Using Package FME, J. Stat. Softw., 33, 1–28, https://doi.org/10.18637/jss.v033.i03, 2010.
Soetaert, K., Petzoldt, T., and Setzer, R. W.: Solving Differential
Equations in R: Package deSolve, J. Stat. Softw., 33, 1548–7660, https://doi.org/10.18637/jss.v033.i09, 2010.
Sommer, U., Aberle, N., Engel, A., Hansen, T., Lengfellner, K., Sandow, M.,
Wohlers, J., Zollner, E., and Riebesell, U.: An indoor mesocosm system to
study the effect of climate change on the late winter and spring succession
of Baltic Sea phyto-and zooplankton, Oecologia, 150, 655–667, 2007.
Spilling, K., Tamminen, T., Andersen, T., and Kremp, A.: Nutrient kinetics
modeled from time series of substrate depletion and growth: dissolved
silicate uptake of Baltic Sea spring diatoms, Mar. Biol., 157, 427–436, 2010.
Stow, C. A., Jolliff, J., McGillicuddy Jr., D. J., Doney, S. C., Allen, J.
I., Friedrichs, M. A., Kenneth, A. R., and Wallhead, P.: Skill assessment
for coupled biological/physical models of marine systems, J. Mar. Syst., 76,
4–15, 2009.
Sturluson, M., Nielsen, T. G., and Wassmann, P.: Bacterial abundance,
biomass and production during spring blooms in the northern Barents Sea,
Deep Sea Res., 55, 2186–2198, 2008.
Sverdrup, H. U.: On conditions for the vernal blooming of phytoplankton, Cons.
Perm. Int. Expl. Mer., 18, 287–295, 1953.
Teeling, H., Fuchs, B. M., Becher, D., Klockow, C., Gardebrecht, A., Bennke,
C. M., Kassabgy, M., Huang, S., Mann, A. J., Waldmann, J., Weber, M.,
Klindworth, A., Otto, A., Lange, J., Bernhardt, J., Reinsch, C., Hecker, M.,
Peplies, J., Bockelmann, F. D., Callies, U., Gerdts, G., Wichels, A.,
Wiltshire, K. H., Glöckner, F. O., Schweder, T., and Amann, R.:
Substrate-controlled succession of marine bacterioplankton populations
induced by a phytoplankton bloom, Science, 336, 608–611, 2012.
Teeling, H., Fuchs, B. M., Bennke, C. M., Krueger, K., Chafee, M.,
Kappelmann, L., Reintjes, G., Waldmann, J., Quast, C., Glöckner, F. O.,
Lucas, J., Wichels, A., Gerdts, G., Wiltshire, K. H., and Amann, R.: Recurring
patterns in bacterioplankton dynamics during coastal spring algae blooms,
Elife, 5, e11888, https://doi.org/10.7554/eLife.11888, 2016.
Tezuka, Y.: The C: N: P ratio of phytoplankton determines the relative
amounts of dissolved inorganic nitrogen and phosphorus released during
aerobic decomposition, Hydrobiologia, 173, 55–62, 1989.
Thangaraj, S., Shang, X., Sun, J., and Liu, H.: Quantitative proteomic
analysis reveals novel insights into intracellular silicate
stress-responsive mechanisms in the diatom Skeletonema dohrnii, Int. J. Mol. Sci., 20,
2540, https://doi.org/10.3390/ijms20102540, 2019.
Thornton, D.: Diatom aggregation in the sea: mechanisms and ecological
implications, Eur. J. Phycol., 37, 149–161, 2002.
Tremblay, J. É. and Gagnon, J.: The effects of irradiance and nutrient
supply on the productivity of Arctic waters: a perspective on climate
change, in: Influence of climate change on the changing arctic and
sub-arctic conditions, edited by: Nihoul, J. C., J. and Kostianoy, A. G.,
Springer, Dordrecht, The Netherlands, 73–93, 2009.
Uitz, J., Claustre, H., Gentili, B., and Stramski, D.: Phytoplankton
class-specific primary production in the world's oceans: Seasonal and
interannual variability from satellite observations, Global Biogeochem.
Cy., 24, GB3016, https://doi.org/10.1029/2009GB003680, 2010.
Van den Meersche, K., Middelburg, J. J., Soetaert, K., Van Rijswijk, P.,
Boschker, H. T., and Heip, C. H.: Carbon-nitrogen coupling and
algal-bacterial interactions during an experimental bloom: Modeling a 13C
tracer experiment, Limnol. Oceanogr., 49, 862–878, 2004.
Vichi, M., Pinardi, N., and Masina, S.: A generalized model of pelagic
biogeochemistry for the global ocean ecosystem. Part I: Theory, J. Mar. Syst.,
64, 89–109, 2007.
Vonnahme, T. R.: Model code for: Modelling Silicate – Nitrate – Ammonium co-limitation of algal growth and the importance of bacterial remineralisation based on an experimental Arctic coastal spring bloom culture study (Version 6.0), https://doi.org/10.5281/zenodo.4459550, 2021a.
Vonnahme, T. R.: Dynamic-Algae-Bacteria-model, available at: https://github.com/tvonnahm/Dynamic-Algae-Bacteria-model (last access: 29 January 2021), 2021b.
Vonnahme, T. R., Leroy, M., Thoms, S., van Oevelen, D., Harvey, R., Kristiansen, S., Dietrich, U., Gradinger, R., and Völker, C.: Replication data for: Modelling Silicate – Nitrate – Ammonium co-limitation of algal growth and the importance of bacterial remineralisation based on an experimental Arctic coastal spring bloom culture study, https://doi.org/10.18710/VA4IU9, 2021.
von Quillfeldt, C. H.: Common diatom species in Arctic spring blooms: Their
distribution and abundance, Bot. Mar., 43, 499–516,
https://doi.org/10.1515/BOT.2000.050, 2005.
Wassmann, P., Slagstad, D., Riser, C. W., and Reigstad, M.: Modelling the
ecosystem dynamics of the Barents Sea including the marginal ice zone: II.
Carbon flux and interannual variability, J. Mar. Syst., 59, 1–24, 2006.
Weitz, J. S., Stock, C. A., Wilhelm, S. W., Bourouiba, L., Coleman, M. L.,
Buchan, A., Follows, M. J., Fuhrman, J. A., Jover, L., Lennon, J. T.,
Middelboe, M., Sonderegger, D. L., Suttle, C. A., Taylor, B. P., Thingstad,
T. F., Wilson, W., and Wommack, K. E.: A multitrophic model to quantify the
effects of marine viruses on microbial food webs and ecosystem processes,
ISME J., 9, 1352–1364, 2015.
Werner, D.: Silicate metabolism, in: The biology of diatoms, edited by:
Werner, D., Blackwell Scientific Publications, Berkeley, 111–149,
1977.
Werner, D.: Regulation of metabolism by silicate in diatoms, in:
Biochemistry of silicon and related problems, edited by: Bendz, G. and
Lindqvist, I., Springer, Boston, USA, 149–176, 1978.
Westberry, T. K., Behrenfeld, M. J., Siegel, D. A., and Boss, E.: Carbon-based
primary productivity modeling with vertically resolved photoacclimation,
Global Biogeochem. Cy., 22, 1–18, 2008.
Wu, Y., Liu, S., Huang, Z., and Yan, W.: Parameter optimization,
sensitivity, and uncertainty analysis of an ecosystem model at a forest flux
tower site in the United States, J. Adv. Model. Earth Sy., 6, 405–419,
2014.
Yool, A., Martin, A. P., Fernández, C., and Clark, D. R.: The
significance of nitrification for oceanic new production, Nature, 447,
999–1002, 2007.
Yool, A., Popova, E. E., and Anderson, T. R.: Medusa-1.0: a new intermediate complexity plankton ecosystem model for the global domain, Geosci. Model Dev., 4, 381–417, https://doi.org/10.5194/gmd-4-381-2011, 2011.
Zambrano, J., Krustok, I., Nehrenheim, E., and Carlsson, B.: A simple model
for algae-bacteria interaction in photo-bioreactors, Algal Res., 19, 155–161,
2016.
Short summary
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.
Diatoms are crucial for Arctic coastal spring blooms, and their growth is controlled by...
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