Articles | Volume 19, issue 2
https://doi.org/10.5194/bg-19-271-2022
© Author(s) 2022. 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-19-271-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Jan 2022
Research article |
| 18 Jan 2022
| 18 Jan 2022
Regional-scale phytoplankton dynamics and their association with glacier meltwater runoff in Svalbard
Department of Environmental Sciences, Western Norway University of Applied Sciences, Røyrgata 6, 6856 Sogndal, Norway
Department of Geosciences, University of Oslo, P.O. Box 1047 Blindern, 0316 Oslo, Norway
Kaixing Dong
Centre of Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, P.O. Box 1066, Blindern, 0316, Oslo, Norway
Kjetil Schanke Aas
Department of Geosciences, University of Oslo, P.O. Box 1047 Blindern, 0316 Oslo, Norway
Leif Christian Stige
Centre of Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, P.O. Box 1066, Blindern, 0316, Oslo, Norway
Norwegian Veterinary Institute, P.O. Box 64, 1431 Ås, Norway
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Here we compare and contrast results from five well-studied Arctic field sites in order to understand how glaciers affect marine biogeochemistry and marine primary production. The key questions are listed as follows. Where and when does glacial freshwater discharge promote or reduce marine primary production? How does spatio-temporal variability in glacial discharge affect marine primary production? And how far-reaching are the effects of glacial discharge on marine biogeochemistry?
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The climate in Svalbard is undergoing amplified change compared to the global mean, which has a strong impact on the climatic mass balance of glaciers and the state of seasonal snow in land areas. In this study we analyze a coupled energy balance–subsurface model dataset, which provides detailed information on distributed climatic mass balance, snow conditions, and runoff across Svalbard between 1957 and 2018.
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We use surface height data from west Greenland and Devon Ice Cap to check the performance of the new interferometric mode of the ESA CryoSat radar altimeter. The detailed height comparison allows an improved system calibration and processing methodology and measurement of the height of supraglacial lakes which form each summer around the periphery of the Greenland Ice Cap. The advantages of the SARIn mode suggest that future satellite radar altimeters for glacial ice should use this technology.
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The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-5, https://doi.org/10.5194/tc-2017-5, 2017
Preprint withdrawn
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A high-resolution, coupled atmosphere--climatic mass balance (CMB) model is applied to Svalbard for the period 2003 to 2013. The mean CMB during this period is negative but displays large spatial and temporal variations. Comparison with observations on different scales shows a good overall model performance except for one particular glacier, where wind strongly affects the spatial patterns of CMB. The model also shows considerable sensitivity to model resolution, especially on local scales.
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The Arctic has large areas of small mounds that are caused by ice lifting up the soil. Snow blown by wind gathers in hollows next to these mounds, insulating them in winter. The hollows tend to be wetter, and thus the soil absorbs more heat in summer. The warm wet soil in the hollows decomposes, releasing methane. We have made a model of this, and we have tested how it behaves and whether it looks like sites in Scandinavia and Siberia. Sometimes we get more methane than a model without mounds.
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Here we compare and contrast results from five well-studied Arctic field sites in order to understand how glaciers affect marine biogeochemistry and marine primary production. The key questions are listed as follows. Where and when does glacial freshwater discharge promote or reduce marine primary production? How does spatio-temporal variability in glacial discharge affect marine primary production? And how far-reaching are the effects of glacial discharge on marine biogeochemistry?
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The Cryosphere, 11, 1041–1058, https://doi.org/10.5194/tc-11-1041-2017, https://doi.org/10.5194/tc-11-1041-2017, 2017
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We use surface height data from west Greenland and Devon Ice Cap to check the performance of the new interferometric mode of the ESA CryoSat radar altimeter. The detailed height comparison allows an improved system calibration and processing methodology and measurement of the height of supraglacial lakes which form each summer around the periphery of the Greenland Ice Cap. The advantages of the SARIn mode suggest that future satellite radar altimeters for glacial ice should use this technology.
Thomas Schellenberger, Thorben Dunse, Andreas Kääb, Thomas Vikhamar Schuler, Jon Ove Hagen, and Carleen H. Reijmer
The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-5, https://doi.org/10.5194/tc-2017-5, 2017
Preprint withdrawn
Short summary
Short summary
Basin-3, NE-Svalbard, was still surging with 10 m d-1 in July 2016. After a speed peak of 18.8 m d-1 in Dec 2012/Jan 2013, speed-ups are overlying the fast flow every summer. The glacier is massively calving icebergs (5.2 Gt yr-1 ~ 2 L drinking water for every human being daily!) which in the same order of magnitude as all other Svalbard glaciers together.
Since autumn 2015 also Basin-2 is surging with maximum velocities of 8.7 m d-1, an advance of more than 2 km and a mass loss of 0.7 Gt yr-1.
Kjetil S. Aas, Thorben Dunse, Emily Collier, Thomas V. Schuler, Terje K. Berntsen, Jack Kohler, and Bartłomiej Luks
The Cryosphere, 10, 1089–1104, https://doi.org/10.5194/tc-10-1089-2016, https://doi.org/10.5194/tc-10-1089-2016, 2016
Short summary
Short summary
A high-resolution, coupled atmosphere--climatic mass balance (CMB) model is applied to Svalbard for the period 2003 to 2013. The mean CMB during this period is negative but displays large spatial and temporal variations. Comparison with observations on different scales shows a good overall model performance except for one particular glacier, where wind strongly affects the spatial patterns of CMB. The model also shows considerable sensitivity to model resolution, especially on local scales.
T. Schellenberger, T. Dunse, A. Kääb, J. Kohler, and C. H. Reijmer
The Cryosphere, 9, 2339–2355, https://doi.org/10.5194/tc-9-2339-2015, https://doi.org/10.5194/tc-9-2339-2015, 2015
Short summary
Short summary
Kronebreen and Kongsbreen are among the fastest flowing glaciers on Svalbard, and surface speeds reached up to 3.2m d-1 at Kronebreen in summer 2013 and 2.7m d-1 at Kongsbreen in late autumn 2012 as retrieved from SAR satellite data. Both glaciers retreated significantly during the observation period, Kongsbreen up to 1800m or 2.5km2 and Kronebreen up to 850m or 2.8km2. Both glaciers are important contributors to the total dynamic mass loss from the Svalbard archipelago.
L. Gray, D. Burgess, L. Copland, M. N. Demuth, T. Dunse, K. Langley, and T. V. Schuler
The Cryosphere, 9, 1895–1913, https://doi.org/10.5194/tc-9-1895-2015, https://doi.org/10.5194/tc-9-1895-2015, 2015
Short summary
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T. Dunse, T. Schellenberger, J. O. Hagen, A. Kääb, T. V. Schuler, and C. H. Reijmer
The Cryosphere, 9, 197–215, https://doi.org/10.5194/tc-9-197-2015, https://doi.org/10.5194/tc-9-197-2015, 2015
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Terrestrial organic matter (TerrOM) is transported to the ocean by rivers, where its burial can potentially form a long-term carbon sink. This burial is dependent on the type and characteristics of the TerrOM. We used bulk sediment properties, biomarkers, and palynology to identify the dispersal patterns of plant-derived, soil–microbial, and marine OM in the northern Gulf of Mexico and show that plant-derived OM is transported further into the coastal zone than soil and marine-produced TerrOM.
Paul A. Bukaveckas
Biogeosciences, 19, 4209–4226, https://doi.org/10.5194/bg-19-4209-2022, https://doi.org/10.5194/bg-19-4209-2022, 2022
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Inland waters play an important role in the global carbon cycle by storing, transforming and transporting carbon from land to sea. Comparatively little is known about carbon dynamics at the river–estuarine transition. A study of tributaries of Chesapeake Bay showed that biological processes exerted a strong effect on carbon transformations. Peak carbon retention occurred during periods of elevated river discharge and was associated with trapping of particulate matter.
Frédérique M. S. A. Kirkels, Huub M. Zwart, Muhammed O. Usman, Suning Hou, Camilo Ponton, Liviu Giosan, Timothy I. Eglinton, and Francien Peterse
Biogeosciences, 19, 3979–4010, https://doi.org/10.5194/bg-19-3979-2022, https://doi.org/10.5194/bg-19-3979-2022, 2022
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Soil organic carbon (SOC) that is transferred to the ocean by rivers forms a long-term sink of atmospheric CO2 upon burial on the ocean floor. We here test if certain bacterial membrane lipids can be used to trace SOC through the monsoon-fed Godavari River basin in India. We find that these lipids trace the mobilisation and transport of SOC in the wet season but that these lipids are not transferred far into the sea. This suggests that the burial of SOC on the sea floor is limited here.
Niek Jesse Speetjens, George Tanski, Victoria Martin, Julia Wagner, Andreas Richter, Gustaf Hugelius, Chris Boucher, Rachele Lodi, Christian Knoblauch, Boris P. Koch, Urban Wünsch, Hugues Lantuit, and Jorien E. Vonk
Biogeosciences, 19, 3073–3097, https://doi.org/10.5194/bg-19-3073-2022, https://doi.org/10.5194/bg-19-3073-2022, 2022
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Climate change and warming in the Arctic exceed global averages. As a result, permanently frozen soils (permafrost) which store vast quantities of carbon in the form of dead plant material (organic matter) are thawing. Our study shows that as permafrost landscapes degrade, high concentrations of organic matter are released. Partly, this organic matter is degraded rapidly upon release, while another significant fraction enters stream networks and enters the Arctic Ocean.
Miriam Tivig, David P. Keller, and Andreas Oschlies
Biogeosciences, 18, 5327–5350, https://doi.org/10.5194/bg-18-5327-2021, https://doi.org/10.5194/bg-18-5327-2021, 2021
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Nitrogen is one of the most important elements for life in the ocean. A major source is the riverine discharge of dissolved nitrogen. While global models often omit rivers as a nutrient source, we included nitrogen from rivers in our Earth system model and found that additional nitrogen affected marine biology not only locally but also in regions far off the coast. Depending on regional conditions, primary production was enhanced or even decreased due to internal feedbacks in the nitrogen cycle.
Kyra A. St. Pierre, Brian P. V. Hunt, Suzanne E. Tank, Ian Giesbrecht, Maartje C. Korver, William C. Floyd, Allison A. Oliver, and Kenneth P. Lertzman
Biogeosciences, 18, 3029–3052, https://doi.org/10.5194/bg-18-3029-2021, https://doi.org/10.5194/bg-18-3029-2021, 2021
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Using 4 years of paired freshwater and marine water chemistry from the Central Coast of British Columbia (Canada), we show that coastal temperate rainforest streams are sources of organic nitrogen, iron, and carbon to the Pacific Ocean but not the inorganic nutrients easily used by marine phytoplankton. This distinction may have important implications for coastal food webs and highlights the need to sample all nutrients in fresh and marine waters year-round to fully understand coastal dynamics.
Thomas S. Bianchi, Madhur Anand, Chris T. Bauch, Donald E. Canfield, Luc De Meester, Katja Fennel, Peter M. Groffman, Michael L. Pace, Mak Saito, and Myrna J. Simpson
Biogeosciences, 18, 3005–3013, https://doi.org/10.5194/bg-18-3005-2021, https://doi.org/10.5194/bg-18-3005-2021, 2021
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Better development of interdisciplinary ties between biology, geology, and chemistry advances biogeochemistry through (1) better integration of contemporary (or rapid) evolutionary adaptation to predict changing biogeochemical cycles and (2) universal integration of data from long-term monitoring sites in terrestrial, aquatic, and human systems that span broad geographical regions for use in modeling.
Marie-Sophie Maier, Cristian R. Teodoru, and Bernhard Wehrli
Biogeosciences, 18, 1417–1437, https://doi.org/10.5194/bg-18-1417-2021, https://doi.org/10.5194/bg-18-1417-2021, 2021
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Based on a 2-year monitoring study, we found that the freshwater system of the Danube Delta, Romania, releases carbon dioxide and methane to the atmosphere. The amount of carbon released depends on the freshwater feature (river branches, channels and lakes), season and hydrologic condition, affecting the exchange with the wetland. Spatial upscaling should therefore consider these factors. Furthermore, the Danube Delta increases the amount of carbon reaching the Black Sea via the Danube River.
Anna Rose Canning, Peer Fietzek, Gregor Rehder, and Arne Körtzinger
Biogeosciences, 18, 1351–1373, https://doi.org/10.5194/bg-18-1351-2021, https://doi.org/10.5194/bg-18-1351-2021, 2021
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The paper describes a novel, fully autonomous, multi-gas flow-through set-up for multiple gases that combines established, high-quality oceanographic sensors in a small and robust system designed for use across all salinities and all types of platforms. We describe the system and its performance in all relevant detail, including the corrections which improve the accuracy of these sensors, and illustrate how simultaneous multi-gas set-ups can provide an extremely high spatiotemporal resolution.
Joonas J. Virtasalo, Peter Österholm, Aarno T. Kotilainen, and Mats E. Åström
Biogeosciences, 17, 6097–6113, https://doi.org/10.5194/bg-17-6097-2020, https://doi.org/10.5194/bg-17-6097-2020, 2020
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Rivers draining the acid sulphate soils of western Finland deliver large amounts of metals (e.g. Cd, Co, Cu, La, Mn, Ni, and Zn) to the coastal sea. To better understand metal enrichment in the sea floor, we analysed metal contents and grain size distribution in nine sediment cores, which increased in the 1960s and 1970s and stayed at high levels afterwards. The enrichment is visible more than 25 km out from the river mouths. Organic aggregates are suggested as the key seaward metal carriers.
Simon David Herzog, Per Persson, Kristina Kvashnina, and Emma Sofia Kritzberg
Biogeosciences, 17, 331–344, https://doi.org/10.5194/bg-17-331-2020, https://doi.org/10.5194/bg-17-331-2020, 2020
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Fe concentrations in boreal rivers are increasing strongly in several regions in Northern Europe. This study focuses on how Fe speciation and interaction with organic matter affect stability of Fe across estuarine salinity gradients. The results confirm a positive relationship between the relative contribution of organically complexed Fe and stability. Moreover, organically complexed Fe was more prevalent at high flow conditions and more dominant further upstream in a catchment.
Ines Bartl, Dana Hellemann, Christophe Rabouille, Kirstin Schulz, Petra Tallberg, Susanna Hietanen, and Maren Voss
Biogeosciences, 16, 3543–3564, https://doi.org/10.5194/bg-16-3543-2019, https://doi.org/10.5194/bg-16-3543-2019, 2019
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Irrespective of variable environmental settings in estuaries, the quality of organic particles is an important factor controlling microbial processes that facilitate a reduction of land-derived nitrogen loads to the open sea. Through the interplay of biogeochemical processing, geomorphology, and hydrodynamics, organic particles may function as a carrier and temporary reservoir of nitrogen, which has a major impact on the efficiency of nitrogen load reduction.
Moturi S. Krishna, Rongali Viswanadham, Mamidala H. K. Prasad, Vuravakonda R. Kumari, and Vedula V. S. S. Sarma
Biogeosciences, 16, 505–519, https://doi.org/10.5194/bg-16-505-2019, https://doi.org/10.5194/bg-16-505-2019, 2019
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An order-of-magnitude variability in DIC was found within the Indian estuaries due to significant variability in size of rivers, precipitation pattern and lithology in the catchments. Indian monsoonal estuaries annually export ∼ 10.3 Tg of DIC to the northern Indian Ocean, of which 75 % enters into the Bay of Bengal. Our results indicated that chemical weathering of carbonate and silicate minerals by soil CO2 is the major source of DIC in the Indian monsoonal rivers.
Tim Rixen, Birgit Gaye, Kay-Christian Emeis, and Venkitasubramani Ramaswamy
Biogeosciences, 16, 485–503, https://doi.org/10.5194/bg-16-485-2019, https://doi.org/10.5194/bg-16-485-2019, 2019
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Data obtained from sediment trap experiments in the Indian Ocean indicate that lithogenic matter ballast increases organic carbon flux rates on average by 45 % and by up to 62 % at trap locations in the river-influenced regions of the Indian Ocean. Such a strong lithogenic matter ballast effect implies that land use changes and the associated enhanced transport of lithogenic matter may significantly affect the CO2 uptake of the organic carbon pump in the receiving ocean areas.
Yongping Yuan, Ruoyu Wang, Ellen Cooter, Limei Ran, Prasad Daggupati, Dongmei Yang, Raghavan Srinivasan, and Anna Jalowska
Biogeosciences, 15, 7059–7076, https://doi.org/10.5194/bg-15-7059-2018, https://doi.org/10.5194/bg-15-7059-2018, 2018
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Elevated levels of nutrients in surface water, which originate from deposition of atmospheric N, drainage from agricultural fields, and discharges from sewage treatment plants, cause explosive algal blooms that impair water quality. The complex cycling of nutrients through the land, air, and water requires an integrated multimedia modeling system linking air, land surface, and stream processes to assess their sources, transport, and transformation in large river basins for decision making.
Muhammed Ojoshogu Usman, Frédérique Marie Sophie Anne Kirkels, Huub Michel Zwart, Sayak Basu, Camilo Ponton, Thomas Michael Blattmann, Michael Ploetze, Negar Haghipour, Cameron McIntyre, Francien Peterse, Maarten Lupker, Liviu Giosan, and Timothy Ian Eglinton
Biogeosciences, 15, 3357–3375, https://doi.org/10.5194/bg-15-3357-2018, https://doi.org/10.5194/bg-15-3357-2018, 2018
Tom Jilbert, Eero Asmala, Christian Schröder, Rosa Tiihonen, Jukka-Pekka Myllykangas, Joonas J. Virtasalo, Aarno Kotilainen, Pasi Peltola, Päivi Ekholm, and Susanna Hietanen
Biogeosciences, 15, 1243–1271, https://doi.org/10.5194/bg-15-1243-2018, https://doi.org/10.5194/bg-15-1243-2018, 2018
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Iron is a common dissolved element in river water, recognizable by its orange-brown colour. Here we show that when rivers reach the ocean much of this iron settles to the sediments by a process known as flocculation. The iron is then used by microbes in coastal sediments, which are important hotspots in the global carbon cycle.
Shin-Ah Lee and Guebuem Kim
Biogeosciences, 15, 1115–1122, https://doi.org/10.5194/bg-15-1115-2018, https://doi.org/10.5194/bg-15-1115-2018, 2018
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The fluorescent dissolved organic matter (FDOM) delivered from riverine discharges significantly affects carbon and biogeochemical cycles in coastal waters. Our results show that the terrestrial concentrations of humic-like FDOM in river water were 60–80 % higher in the summer and fall, while the in situ production of protein-like FDOM was 70–80 % higher in the spring. Our results suggest that there are large seasonal changes in riverine fluxes of FDOM components to the ocean.
Yafei Zhu, Andrew McCowan, and Perran L. M. Cook
Biogeosciences, 14, 4423–4433, https://doi.org/10.5194/bg-14-4423-2017, https://doi.org/10.5194/bg-14-4423-2017, 2017
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We used a 3-D coupled hydrodynamic–biogeochemical water quality model to investigate the effects of changes in catchment nutrient loading and composition on the phytoplankton dynamics, development of hypoxia and internal nutrient dynamics in a stratified coastal lagoon system. The results highlighted the need to reduce both total nitrogen and total phosphorus for water quality improvement in estuarine systems.
Kamilla S. Sjøgaard, Alexander H. Treusch, and Thomas B. Valdemarsen
Biogeosciences, 14, 4375–4389, https://doi.org/10.5194/bg-14-4375-2017, https://doi.org/10.5194/bg-14-4375-2017, 2017
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Permanent flooding of low-lying coastal areas is a growing threat due to climate-change-related sea-level rise. To reduce coastal damage, buffer zones can be created by managed coastal realignment where existing dykes are breached and new dykes are built further inland. We studied the impacts on organic matter degradation in soils flooded with seawater by managed coastal realignment and suggest that most of the organic carbon present in coastal soils will be permanently preserved after flooding.
Allison A. Oliver, Suzanne E. Tank, Ian Giesbrecht, Maartje C. Korver, William C. Floyd, Paul Sanborn, Chuck Bulmer, and Ken P. Lertzman
Biogeosciences, 14, 3743–3762, https://doi.org/10.5194/bg-14-3743-2017, https://doi.org/10.5194/bg-14-3743-2017, 2017
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Rivers draining small watersheds of the outer coastal Pacific temperate rainforest export some of the highest yields of dissolved organic carbon (DOC) in the world directly to the ocean. This DOC is largely derived from soils and terrestrial plants. Rainfall, temperature, and watershed characteristics such as wetlands and lakes are important controls on DOC export. This region may be significant for carbon export and linking terrestrial carbon to marine ecosystems.
Mathilde Couturier, Gwendoline Tommi-Morin, Maude Sirois, Alexandra Rao, Christian Nozais, and Gwénaëlle Chaillou
Biogeosciences, 14, 3321–3336, https://doi.org/10.5194/bg-14-3321-2017, https://doi.org/10.5194/bg-14-3321-2017, 2017
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At the land–ocean interface, subterranean estuaries (STEs) are a critical transition pathway of nitrogen. Environmental conditions in the groundwater lead to nitrogen transformation, altering the nitrogen species and concentrations exported to the coastal ocean. This study highlights the role of a STE in processing groundwater-derived N in a shallow boreal STE, far from anthropogenic pressures. Biogeochemical transformations provide new N species from terrestrial origin to the coastal ocean.
Elin Almroth-Rosell, Moa Edman, Kari Eilola, H. E. Markus Meier, and Jörgen Sahlberg
Biogeosciences, 13, 5753–5769, https://doi.org/10.5194/bg-13-5753-2016, https://doi.org/10.5194/bg-13-5753-2016, 2016
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Nutrients from land have been discussed to increase eutrophication in the open sea. This model study shows that the coastal zone works as an efficient filter. Water depth and residence time regulate the retention that occurs mostly in the sediment due to processes such as burial and denitrification. On shorter timescales the retention capacity might seem less effective when the land load of nutrients decreases, but with time the coastal zone can import nutrients from the open sea.
B. W. Abbott, J. B. Jones, S. E. Godsey, J. R. Larouche, and W. B. Bowden
Biogeosciences, 12, 3725–3740, https://doi.org/10.5194/bg-12-3725-2015, https://doi.org/10.5194/bg-12-3725-2015, 2015
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As high latitudes warm, carbon and nitrogen stored in permafrost soil will be vulnerable to erosion and transport to Arctic streams and rivers. We sampled outflow from 83 permafrost collapse features in Alaska. Permafrost collapse caused substantial increases in dissolved organic carbon and inorganic nitrogen but decreased methane concentration by 90%. Upland thermokarst may be a dominant linkage transferring carbon and nutrients from terrestrial to aquatic ecosystems as the Arctic warms.
V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin
Biogeosciences, 12, 3385–3402, https://doi.org/10.5194/bg-12-3385-2015, https://doi.org/10.5194/bg-12-3385-2015, 2015
G. G. Laruelle, R. Lauerwald, J. Rotschi, P. A. Raymond, J. Hartmann, and P. Regnier
Biogeosciences, 12, 1447–1458, https://doi.org/10.5194/bg-12-1447-2015, https://doi.org/10.5194/bg-12-1447-2015, 2015
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This study quantifies the exchange of carbon dioxide (CO2) between the atmosphere and the land-ocean aquatic continuum (LOAC) of the northeast North American coast, which consists of rivers, estuaries, and the coastal ocean. Our analysis reveals significant variations of the flux intensity both in time and space across the study area. Ice cover, snowmelt, and the intensity of the estuarine filter are identified as important control factors of the CO2 exchange along the LOAC.
O. Arnalds, H. Olafsson, and P. Dagsson-Waldhauserova
Biogeosciences, 11, 6623–6632, https://doi.org/10.5194/bg-11-6623-2014, https://doi.org/10.5194/bg-11-6623-2014, 2014
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Iceland is one of the largest dust sources on Earth. Based on two separate methods, we estimate dust emissions to range between 30 and 40 million tons annually. Ocean deposition ranges between 5.5 and 13.8 million tons. Calculated iron deposition in oceans around Iceland ranges between 0.56 to 1.4 million tons, which are distributed over wide areas. Iron is a limiting nutrient for primary production in these waters, and dust is likely to affect oceanic Fe levels around Iceland.
N. I. W. Leblans, B. D. Sigurdsson, P. Roefs, R. Thuys, B. Magnússon, and I. A. Janssens
Biogeosciences, 11, 6237–6250, https://doi.org/10.5194/bg-11-6237-2014, https://doi.org/10.5194/bg-11-6237-2014, 2014
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We studied the influence of allochthonous N inputs on primary succession and soil development of a 50-year-old volcanic island, Surtsey. Seabirds increased the ecosystem N accumulation rate inside their colony to ~47 kg ha-1 y-1, compared to 0.7 kg ha-1 y-1 outside it. A strong relationship was found between total ecosystem N stock and both total above- and belowground biomass and SOC stock, which shows how fast external N input can boost primary succession and soil formation.
J.-É. Tremblay, P. Raimbault, N. Garcia, B. Lansard, M. Babin, and J. Gagnon
Biogeosciences, 11, 4853–4868, https://doi.org/10.5194/bg-11-4853-2014, https://doi.org/10.5194/bg-11-4853-2014, 2014
H. E. Reader, C. A. Stedmon, and E. S. Kritzberg
Biogeosciences, 11, 3409–3419, https://doi.org/10.5194/bg-11-3409-2014, https://doi.org/10.5194/bg-11-3409-2014, 2014
R. Death, J. L. Wadham, F. Monteiro, A. M. Le Brocq, M. Tranter, A. Ridgwell, S. Dutkiewicz, and R. Raiswell
Biogeosciences, 11, 2635–2643, https://doi.org/10.5194/bg-11-2635-2014, https://doi.org/10.5194/bg-11-2635-2014, 2014
R. H. Li, S. M. Liu, Y. W. Li, G. L. Zhang, J. L. Ren, and J. Zhang
Biogeosciences, 11, 481–506, https://doi.org/10.5194/bg-11-481-2014, https://doi.org/10.5194/bg-11-481-2014, 2014
E. Asmala, R. Autio, H. Kaartokallio, L. Pitkänen, C. A. Stedmon, and D. N. Thomas
Biogeosciences, 10, 6969–6986, https://doi.org/10.5194/bg-10-6969-2013, https://doi.org/10.5194/bg-10-6969-2013, 2013
C. Buzzelli, Y. Wan, P. H. Doering, and J. N. Boyer
Biogeosciences, 10, 6721–6736, https://doi.org/10.5194/bg-10-6721-2013, https://doi.org/10.5194/bg-10-6721-2013, 2013
S. Nagao, M. Kanamori, S. Ochiai, S. Tomihara, K. Fukushi, and M. Yamamoto
Biogeosciences, 10, 6215–6223, https://doi.org/10.5194/bg-10-6215-2013, https://doi.org/10.5194/bg-10-6215-2013, 2013
V. Le Fouest, M. Babin, and J.-É. Tremblay
Biogeosciences, 10, 3661–3677, https://doi.org/10.5194/bg-10-3661-2013, https://doi.org/10.5194/bg-10-3661-2013, 2013
A. Rumín-Caparrós, A. Sanchez-Vidal, A. Calafat, M. Canals, J. Martín, P. Puig, and R. Pedrosa-Pàmies
Biogeosciences, 10, 3493–3505, https://doi.org/10.5194/bg-10-3493-2013, https://doi.org/10.5194/bg-10-3493-2013, 2013
M. A. Charette, C. F. Breier, P. B. Henderson, S. M. Pike, I. I. Rypina, S. R. Jayne, and K. O. Buesseler
Biogeosciences, 10, 2159–2167, https://doi.org/10.5194/bg-10-2159-2013, https://doi.org/10.5194/bg-10-2159-2013, 2013
B. Deutsch, V. Alling, C. Humborg, F. Korth, and C. M. Mörth
Biogeosciences, 9, 4465–4475, https://doi.org/10.5194/bg-9-4465-2012, https://doi.org/10.5194/bg-9-4465-2012, 2012
P. A. Faber, A. J. Kessler, J. K. Bull, I. D. McKelvie, F. J. R. Meysman, and P. L. M. Cook
Biogeosciences, 9, 4087–4097, https://doi.org/10.5194/bg-9-4087-2012, https://doi.org/10.5194/bg-9-4087-2012, 2012
M. E. Dueker, G. D. O'Mullan, K. C. Weathers, A. R. Juhl, and M. Uriarte
Biogeosciences, 9, 803–813, https://doi.org/10.5194/bg-9-803-2012, https://doi.org/10.5194/bg-9-803-2012, 2012
L. Lassaletta, E. Romero, G. Billen, J. Garnier, H. García-Gómez, and J. V. Rovira
Biogeosciences, 9, 57–70, https://doi.org/10.5194/bg-9-57-2012, https://doi.org/10.5194/bg-9-57-2012, 2012
J. Yu, Y. Fu, Y. Li, G. Han, Y. Wang, D. Zhou, W. Sun, Y. Gao, and F. X. Meixner
Biogeosciences, 8, 2427–2435, https://doi.org/10.5194/bg-8-2427-2011, https://doi.org/10.5194/bg-8-2427-2011, 2011
E. S. Karlsson, A. Charkin, O. Dudarev, I. Semiletov, J. E. Vonk, L. Sánchez-García, A. Andersson, and Ö. Gustafsson
Biogeosciences, 8, 1865–1879, https://doi.org/10.5194/bg-8-1865-2011, https://doi.org/10.5194/bg-8-1865-2011, 2011
C. Y. Bernard, H. H. Dürr, C. Heinze, J. Segschneider, and E. Maier-Reimer
Biogeosciences, 8, 551–564, https://doi.org/10.5194/bg-8-551-2011, https://doi.org/10.5194/bg-8-551-2011, 2011
Cited articles
Aas, K. S., Berntsen, T. K., Boike, J., Etzelmuller, B., Kristjansson, J. E., Maturilli, M., Schuler, T. V., Stordal, F., and Westermann, S.: A Comparison between Simulated and Observed Surface Energy Balance at the Svalbard Archipelago, J. Appl. Meteorol. Clim., 54, 1102–1119, https://doi.org/10.1175/JAMC-D-14-0080.1, 2015. a
Aas, K. S., Dunse, T., Collier, E., Schuler, T. V., Berntsen, T. K., Kohler, J., and Luks, B.: The climatic mass balance of Svalbard glaciers: a 10-year simulation with a coupled atmosphere–glacier mass balance model, The Cryosphere, 10, 1089–1104, https://doi.org/10.5194/tc-10-1089-2016, 2016. a, b, c, d, e, f, g, h, i
Dunse, T. and Aas, K. S.: Timeseries of simulated glacier meltwater runoff for primary hydrological regions in Svalbard, Zenodo [data set], https://doi.org/10.5281/zenodo.5115647, 2021. a
AMAP: Snow, Water, Ice and Permafrost in the Arctic (SWIPA) 2017, Tech. rep., Arctic Monitoring and Assessment Programme (AMAP), 2017. a
Ardyna, M., Babin, M., Gosselin, M., Devred, E., Bélanger, S., Matsuoka, A., and Tremblay, J.-É.: Parameterization of vertical chlorophyll a in the Arctic Ocean: impact of the subsurface chlorophyll maximum on regional, seasonal, and annual primary production estimates, Biogeosciences, 10, 4383–4404, https://doi.org/10.5194/bg-10-4383-2013, 2013. a
Arendt, K. E., Agersted, M. D., Sejr, M. K., and Juul-Pedersen, T.: Glacial meltwater influences on plankton community structure and the importance of top-down control (of primary production) in a NE Greenland fjord, Estuar. Coast. Shelf S., 183, 123–135, https://doi.org/10.1016/j.ecss.2016.08.026, 2016. a
Arrigo, K. R.: Sea Ice Ecosystems, Annu. Rev. Mar. Sci., 6, 439–467, https://doi.org/10.1146/annurev-marine-010213-135103, 2014. a
Arrigo, K. R. and van Dijken, G. L.: Continued increases in Arctic Ocean primary production, Prog. Oceanogr., 136, 60–70, https://doi.org/10.1016/j.pocean.2015.05.002, 2015. a
Arrigo, K. R., Matrai, P. A., and van Dijken, G. L.: Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large-scale estimates, J. Geophys. Res.-Oceans, 116, C11022, https://doi.org/10.1029/2011JC007273, 2011. a
Arrigo, K. R., van Dijken, G. L., Castelao, R. M., Luo, H., Rennermalm, A. K., Tedesco, M., Mote, T. L., Oliver, H., and Yager, P. L.: Melting glaciers stimulate large summer phytoplankton blooms in southwest Greenland waters, Geophys. Res. Lett., 44, 6278–6285, https://doi.org/10.1002/2017GL073583, 2017. a
Bamber, J. L., Tedstone, A. J., King, M. D., Howat, I. M., Enderlin, E. M.,
van den Broeke, M. R., and Noel, B.: Land Ice Freshwater Budget of the Arctic
and North Atlantic Oceans: 1. Data, Methods, and Results,
J. Geophys. Res.-Oceans, 123, 1827–1837,
https://doi.org/10.1002/2017JC013605, 2018. a, b
Behrenfeld, M. J. and Boss, E. S.: Resurrecting the Ecological Underpinnings of Ocean Plankton Blooms, Annu. Rev. Mar. Sci., 6, 167–194, https://doi.org/10.1146/annurev-marine-052913-021325, 2014. a
Bhatia, M. P., Kujawinski, E. B., Das, S. B., Breier, C. F., Henderson, P. B., and Charette, M. A.: Greenland meltwater as a significant and potentially bioavailable source of iron to the ocean, Nat. Geosci., 6, 274–278, https://doi.org/10.1038/NGEO1746, 2013. a
Calbet, A., Riisgaard, K., Saiz, E., Zamora, S., Stedmon, C., and Nielsen, T. G.: Phytoplankton growth and microzooplankton grazing along a sub-Arctic fjord (Godthabsfjord, west Greenland), Mar. Ecol.-Prog. Ser., 442, 11–22, https://doi.org/10.3354/meps09343, 2011. a
Calleja, M. L., Kerherve, P., Bourgeois, S., Kedra, M., Leynaert, A., Devred, E., Babin, M., and Morata, N.: Effects of increase glacier discharge on phytoplankton bloom dynamics and pelagic geochemistry in a high Arctic fjord, Prog. Oceanogr., 159, 195–210, https://doi.org/10.1016/j.pocean.2017.07.005, 2017. a, b
Cantoni, C., Hopwood, M. J., Clarke, J. S., Chiggiato, J., Achterberg, E. P., and Cozzi, S.: Glacial Drivers of Marine Biogeochemistry Indicate a Future Shift to More Corrosive Conditions in an Arctic Fjord, J. Geophys. Res.-Biogeo., 125, e2020JG005633, https://doi.org/10.1029/2020JG005633, 2020. a, b
Carroll, D., Sutherland, D. A., Shroyer, E. L., Nash, J. D., Catania, G. A., and Stearns, L. A.: Subglacial discharge-driven renewal of tidewater glacier fjords, J. Geophys. Res.-Oceans, 122, 6611–6629, https://doi.org/10.1002/2017JC012962, 2017. a, b, c
Claremar, B., Obleitner, F., Reijmer, C., Pohjola, V., Waxegard, A.,
Karner, F., and Rutgersson, A.: Applying a Mesoscale Atmospheric Model to
Svalbard Glaciers, Adv. Meteorol., 2012, 321649, https://doi.org/10.1155/2012/321649,
2012. a
Colella, S., Volpe, G., Santoleri, R., Forneris, V., Brando, V.E., Garnesson, P., Taylor, B., and Grant, M.: Arctic Chlorophyll Concentration from Satellite observations (8-day average; Issue 1.4) Reprocessed L4 (ESA-CCI), Copernicus Marine Service [data set], https://doi.org/10.48670/moi-00066, 2017. a
Colella, S., Garnesson, P., Netting, J., Calton, B., Cesarini, C., and Böhm, E.: Arctic Chlorophyll Concentration from Satellite observations (Issue 8.0) Reprocessed L4 (ESA-CCI), Copernicus Marine Service [data set], https://doi.org/10.48670/moi-00066, 2021. a
Cottier, F., Tverberg, V., Inall, M., Svendsen, H., Nilsen, F., and Griffiths, C.: Water mass modification in an Arctic fjord through cross-shelf exchange: The seasonal hydrography of Kongsfjorden, Svalbard, J. Geophys. Res.-Oceans, 110, C12005, https://doi.org/10.1029/2004JC002757, 2005. a, b, c
Cottier, F. R., Nilsen, F., Inall, M. E., Gerland, S., Tverberg, V., and Svendsen, H.: Wintertime warming of an Arctic shelf in response to large-scale atmospheric circulation, Geophys. Res. Lett., 34, l10607, https://doi.org/10.1029/2007GL029948, 2007. a
Dowdeswell, J. A., Hogan, K. A., Arnold, N. S., Mugford, R. I., Wells, M., Hirst, J. P. P., and Decalf, C.: Sediment-rich meltwater plumes and ice-proximal fans at the margins of modern and ancient tidewater glaciers: Observations and modelling, Sedimentology, 62, 1665–1692, https://doi.org/10.1111/sed.12198, 2015. a, b
Dubnick, A., Kazemi, S., Sharp, M., Wadham, J., Hawkings, J., Beaton, A., and
Lanoil, B.: Hydrological controls on glacially exported microbial assemblages,
J. Geophys. Res.-Biogeo., 122, 1049–1061, https://doi.org/10.1002/2016JG003685, 2017. a
Finkel, Z. V.: Light absorption and size scaling of light-limited metabolism in marine diatoms, Limnol. Oceanogr., 46, 86–94, https://doi.org/10.4319/lo.2001.46.1.0086, 2001. a
Finkel, Z. V., Irwin, A. J., and Schofield, O.: Resource limitation alters the 3/4 size scaling of metabolic rates in phytoplankton, Mar. Ecol.-Prog. Ser., 273, 269–279, https://doi.org/10.3354/meps273269, 2004. a
Fransson, A., Chierici, M., Nomura, D., Granskog, M. A., Kristiansen, S.,
Martma, T., and Nehrke, G.: Effect of glacial drainage water on the
CO2 system and ocean acidification state in an Arctic
tidewater-glacier fjord during two contrasting years, J. Geophys. Res.-Oceans, 120, 2413–2429,
https://doi.org/10.1002/2014JC010320, 2015. a
Gohin, F., Saulquin, B., Oger-Jeanneret, H., Lozac'h, L., Lampert, L., Lefebvre, A., Riou, P., and Bruchon, F.: Towards a better assessment of the ecological status of coastal waters using satellite-derived chlorophyll-a concentrations, Remote Sens. Environ., 112, 3329–3340, https://doi.org/10.1016/j.rse.2008.02.014, 2008. a
Hackett, B., Bertino, L., Ali, A., Burud, A., Williams, T., Xie, J., Yumruktepe, C., and Wakamatsu, T.: Arctic Ocean Physics Reanalysis (Issue 5.4), Copernicus Marine Service [data set], https://doi.org/10.48670/moi-00007, 2017. a
Hagen, J. O., Liestøl, O., Roland, E., and Jørgensen, T.: Glacier Atlas of Svalbard and Jan Mayen, Norsk Polarinstitutt, Oslo and Norway, 1993. a
Halbach, L., Vihtakari, M., Duarte, P., Everett, A., Granskog, M. A., Hop, H., Kauko, H. M., Kristiansen, S., Myhre, P. I., Pavlov, A. K., Pramanik, A., Tatarek, A., Torsvik, T., Wiktor, J. M., Wold, A., Wulff, A., Steen, H., and Assmy, P.: Tidewater Glaciers and Bedrock Characteristics Control the Phytoplankton Growth Environment in a Fjord in the Arctic, Frontiers in Marine Science, 6, UNSP 254, https://doi.org/10.3389/fmars.2019.00254, 2019. a, b, c, d, e, f, g, h, i, j, k
Hawkings, J., Wadham, J., Tranter, M., Lawson, E., Sole, A., Cowton, T.,
Tedstone, A., Bartholomew, I., Nienow, P., Chandler, D., and Telling, J.: The
effect of warming climate on nutrient and solute export from the Greenland Ice
Sheet, Geochem. Perspect. Lett., 1, 94–104,
2015. a
Hegseth, E. N. and Tverberg, V.: Effect of Atlantic water inflow on timing of the phytoplankton spring bloom in a high Arctic fjord (Kongsfjorden, Svalbard), J. Marine Syst., 113, 94–105, https://doi.org/10.1016/j.jmarsys.2013.01.003, 2013. a
Hegseth, E. N., Assmy, P., Wiktor, J. M., Wiktor, J., Kristiansen, S., Leu, E., Tverberg, V., Gabrielsen, T. M., Skogseth, R., and Cottier, F.: Phytoplankton Seasonal Dynamics in Kongsfjorden, Svalbard and the Adjacent Shelf, Springer International Publishing, Cham, 173–227, https://doi.org/10.1007/978-3-319-46425-1_6, 2019. a, b
Hodson, A., Nowak, A., and Christiansen, H.: Glacial and periglacial floodplain sediments regulate hydrologic transfer of reactive iron to a high arctic fjord, Hydrol. Process., 30, 1219–1229, https://doi.org/10.1002/hyp.10701, 2016. a
Hodson, A. J., Mumford, P. N., Kohler, J., and Wynn, P. M.: The High Arctic glacial ecosystem: new insights from nutrient budgets, Biogeochemistry, 72, 233–256, https://doi.org/10.1007/s10533-004-0362-0, 2005. a
Holding, J. M., Markager, S., Juul-Pedersen, T., Paulsen, M. L., Møller, E. F., Meire, L., and Sejr, M. K.: Seasonal and spatial patterns of primary production in a high-latitude fjord affected by Greenland Ice Sheet run-off, Biogeosciences, 16, 3777–3792, https://doi.org/10.5194/bg-16-3777-2019, 2019. a, b, c, d
Hop, H., Assmy, P., Wold, A., Sundfjord, A., Daase, M., Duarte, P., Kwasniewski, S., Gluchowska, M., Wiktor, J. M., Tatarek, A., Wiktor, J., Kristiansen, S., Fransson, A., Chierici, M., and Vihtakari, M.: Pelagic Ecosystem Characteristics Across the Atlantic Water Boundary Current From Rijpfjorden, Svalbard, to the Arctic Ocean During Summer (2010–2014), Frontiers in Marine Science, 6, UNSP 181, https://doi.org/10.3389/fmars.2019.00181, 2019. a, b, c, d
Hopwood, M. J., Connelly, D. P., Arendt, K. E., Juul-Pedersen, T., Stinchcombe, M. C., Meire, L., Esposito, M., and Krishna, R.: Seasonal Changes in Fe along a Glaciated Greenlandic Fjord, Front. Earth Sci., 4, UNSP 15, https://doi.org/10.3389/feart.2016.00015, 2016. a
Hopwood, M. J., Carroll, D., Browning, T. J., Meire, L., Mortensen, J., Krisch, S., and Achterberg, E. P.: Non-linear response of summertime marine productivity to increased meltwater discharge around Greenland, Nat. Commun., 9, 3256, https://doi.org/10.1038/s41467-018-05488-8, 2018. a, b, c, d
Hopwood, M. J., Carroll, D., Dunse, T., Hodson, A., Holding, J. M., Iriarte, J. L., Ribeiro, S., Achterberg, E. P., Cantoni, C., Carlson, D. F., Chierici, M., Clarke, J. S., Cozzi, S., Fransson, A., Juul-Pedersen, T., Winding, M. H. S., and Meire, L.: Review article: How does glacier discharge affect marine biogeochemistry and primary production in the Arctic?, The Cryosphere, 14, 1347–1383, https://doi.org/10.5194/tc-14-1347-2020, 2020. a, b, c, d, e, f, g, h, i, j, k
How, P., Benn, D. I., Hulton, N. R. J., Hubbard, B., Luckman, A., Sevestre, H., van Pelt, W. J. J., Lindbäck, K., Kohler, J., and Boot, W.: Rapidly changing subglacial hydrological pathways at a tidewater glacier revealed through simultaneous observations of water pressure, supraglacial lakes, meltwater plumes and surface velocities, The Cryosphere, 11, 2691–2710, https://doi.org/10.5194/tc-11-2691-2017, 2017. a, b
Hu, C., Lee, Z., and Franz, B.: Chlorophyll aalgorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference, J. Geophys. Res.-Oceans, 117, C01011, https://doi.org/10.1029/2011JC007395, c01011, 2012. a
Hugonnet, R., McNabb, R., Berthier, E., Menounos, B., Nuth, C., Girod, L., Farinotti, D., Huss, M., Dussaillant, I., Brun, F., and Kääb, A.: Accelerated global glacier mass loss in the early twenty-first century, Nature, 592, 726–731, https://doi.org/10.1038/s41586-021-03436-z, 2021. a
Hurvich, C. and Tsai, C.: Regression and Time-series Model Selection in Small Samples, Biometrika, 76, 297–307, https://doi.org/10.2307/2336663, 1989. a
IMBIE Team: Mass balance of the Greenland Ice Sheet from 1992 to 2018, Nature, 117, 233–239,
https://doi.org/10.1038/s41586-019-1855-2, 2019. a
Isaksen, K., Nordli, O., Forland, E. J., Lupikasza, E., Eastwood, S., and Niedzwiedz, T.: Recent warming on SpitsbergenInfluence of atmospheric circulation and sea ice cover, J. Geophys. Res.-Atmos., 121, 11913–11931, https://doi.org/10.1002/2016JD025606, 2016. a
Juul-Pedersen, T., Arendt, K. E., Mortensen, J., Blicher, M. E., Sogaard, D. H., and Rysgaard, S.: Seasonal and interannual phytoplankton production in a sub-Arctic tidewater outlet glacier fjord, SW Greenland, Mar. Ecol. Prog. Ser., 524, 27–38, https://doi.org/10.3354/meps11174, 2015. a, b, c, d, e, f, g, h, i, j
Kahru, M., Kudela, R. M., Anderson, C. R., Manzano-Sarabia, M., and Mitchell, B. G.: Evaluation of Satellite Retrievals of Ocean Chlorophyll-a in the California Current, Remote Sens.-Basel, 6, 8524–8540, https://doi.org/10.3390/rs6098524, 2014. a
Kanna, N., Sugiyama, S., Ohashi, Y., Sakakibara, D., Fukamachi, Y., and Nomura, D.: Upwelling of Macronutrients and Dissolved Inorganic Carbon by a Subglacial Freshwater Driven Plume in Bowdoin Fjord, Northwestern Greenland, J. Geophys. Res.-Biogeo., 123, 1666–1682, https://doi.org/10.1029/2017JG004248, 2018. a, b, c
Kilpelainen, T., Vihma, T., and Olafsson, H.: Modelling of spatial variability and topographic effects over Arctic fjords in Svalbard, Tellus A, 63, 223–237, https://doi.org/10.1111/j.1600-0870.2010.00481.x, 2011. a
Kilpelainen, T., Vihma, T., Manninen, M., Sjoblom, A., Jakobson, E., Palo, T., and Maturilli, M.: Modelling the vertical structure of the atmospheric boundary layer over Arctic fjords in Svalbard, Q. J. Roy. Meteor. Soc., 138, 1867–1883, https://doi.org/10.1002/qj.1914, 2012. a
König, M., Nuth, C., Kohler, J., Moholdt, G., and Pettersen, R.: A digital glacier database for svalbard, Springer Berlin Heidelberg, Berlin, Heidelberg, 229–239, https://doi.org/10.1007/978-3-540-79818-7_10, 2014. a
Lee, Y., Matrai, P. A., Friedrichs, M. A. M., Saba, V. S., Antoine, D., Ardyna, M., Asanuma, I., Babin, M., Belanger, S., Benoit-Gagne, M., Devred, E., Fernandez-Mendez, M., Gentili, B., Hirawake, T., Kang, S. H., Kameda, T., Katlein, C., Lee, S. H., Lee, Z. P., Melin, F., Scardi, M., Smyth, T. J., Tang, S., Turpie, K. R., Waters, K. J., and Westberry, T. K.: An assessment of phytoplankton primary productivity in the Arctic Ocean from satellite ocean color/chlorophyll-a based models, J. Geophys. Res.-Oceans, 120, 6508–6541, https://doi.org/10.1002/2015JC011018, 2015. a
Lee, Z., Weidemann, A., Kindle, J., Arnone, R., Carder, K. L., and Davis, C.: Euphotic zone depth: Its derivation and implication to ocean-color remote sensing, J. Geophys. Res.-Oceans, 112, C03009, https://doi.org/10.1029/2006JC003802, 2007. a
Loeng, H.: Features of the Physical Oceanographic Conditions of the Barents Sea, Polar Res., 10, 5–18, 1991. a
Lydersen, C., Assmy, P., Falk-Petersen, S., Kohler, J., Kovacs, K. M., Reigstad, M., Steen, H., Strom, H., Sundfjord, A., Varpe, O., Walczowski, W., Weslawski, J. M., and Zajaczkowski, M.: The importance of tidewater glaciers for marine mammals and seabirds in Svalbard, Norway, J. Marine Syst., 129, 452–471, https://doi.org/10.1016/j.jmarsys.2013.09.006, 2014. a, b
Matrai, P. A., Olson, E., Suttles, S., Hill, V., Codispoti, L. A., Light, B., and Steele, M.: Synthesis of primary production in the Arctic Ocean: I. Surface waters, 1954–2007, Prog. Oceanogr., 110, 93–106, https://doi.org/10.1016/j.pocean.2012.11.004, 2013. a
McGovern, M., Pavlov, A. K., Deininger, A., Granskog, M. A., Leu, E., Søreide, J. E., and Poste, A. E.: Terrestrial Inputs Drive Seasonality in Organic Matter and Nutrient Biogeochemistry in a High Arctic Fjord System (Isfjorden, Svalbard), Frontiers in Marine Science, 7, 747, https://doi.org/10.3389/fmars.2020.542563, 2020. a, b, c
Meire, L., Mortensen, J., Rysgaard, S., Bendtsen, J., Boone, W., Meire, P., and Meysman, F. J. R.: Spring bloom dynamics in a subarctic fjord influenced by tidewater outlet glaciers (Godthåbsfjord, SW Greenland), J. Geophys. Res.-Biogeo., 121, 1581–1592, https://doi.org/10.1002/2015JG003240, 2015JG003240, 2016. a, b, c, d
Milner, A. M., Khamis, K., Battin, T. J., Brittain, J. E., Barrand, N. E., Füreder, L., Cauvy-Fraunié, S., Gíslason, G. M., Jacobsen, D., Hannah, D. M., Hodson, A. J., Hood, E., Lencioni, V., Ólafsson, J. S., Robinson, C. T., Tranter, M., and Brown, L. E.: Glacier shrinkage driving global changes in downstream systems, P. Natl. Acad. Sci. USA, 114, 9770–9778, https://doi.org/10.1073/pnas.1619807114, 2017. a
Mölg, T., Cullen, N. J., Hardy, D. R., Kaser, G., and Klok, L.: Mass balance of a slope glacier on Kilimanjaro and its sensitivity to climate, Int. J. Climatol., 28, 881–892, https://doi.org/10.1002/joc.1589, 2008. a
Mölg, T., Cullen, N. J., Hardy, D. R., Winkler, M., and Kaser, G.: Quantifying Climate Change in the Tropical Midtroposphere over East Africa from Glacier Shrinkage on Kilimanjaro, J. Climate, 22, 4162–4181, https://doi.org/10.1175/2009JCLI2954.1, 2009. a
Moses, W. J., Gitelson, A. A., Berdnikov, S., and Povazhnyy, V.: Estimation of chlorophyll-a concentration in case II waters using MODIS and MERIS data-successes and challenges, Environ. Res. Lett., 4, 045005, https://doi.org/10.1088/1748-9326/4/4/045005, 2009. a
Nilsen, F., Skogseth, R., Vaardal-Lunde, J., and Inall, M.: A Simple Shelf Circulation Model: Intrusion of Atlantic Water on the West Spitsbergen Shelf, J. Phys. Oceanogr., 46, 1209–1230, https://doi.org/10.1175/JPO-D-15-0058.1, 2016. a, b, c, d
Nordli, O., Przybylak, R., Ogilvie, A. E. J., and Isaksen, K.: Long-term temperature trends and variability on Spitsbergen: the extended Svalbard Airport temperature series, 1898–2012, Polar Res., 33, 21349, https://doi.org/10.3402/polar.v33.21349, 2014. a
Nuth, C., Kohler, J., König, M., von Deschwanden, A., Hagen, J. O., Kääb, A., Moholdt, G., and Pettersson, R.: Decadal changes from a multi-temporal glacier inventory of Svalbard, The Cryosphere, 7, 1603–1621, https://doi.org/10.5194/tc-7-1603-2013, 2013. a, b, c
Piquet, A. M.-T., van de Poll, W. H., Visser, R. J. W., Wiencke, C., Bolhuis, H., and Buma, A. G. J.: Springtime phytoplankton dynamics in Arctic Krossfjorden and Kongsfjorden (Spitsbergen) as a function of glacier proximity, Biogeosciences, 11, 2263–2279, https://doi.org/10.5194/bg-11-2263-2014, 2014. a, b, c
Popova, E. E., Yool, A., Coward, A. C., Aksenov, Y. K., Alderson, S. G., de Cuevas, B. A., and Anderson, T. R.: Control of primary production in the Arctic by nutrients and light: insights from a high resolution ocean general circulation model, Biogeosciences, 7, 3569–3591, https://doi.org/10.5194/bg-7-3569-2010, 2010. a
Pramanik, A., Van Pelt, W., Kohler, J., and Schuler, T. V.: Simulating climatic mass balance, seasonal snow development and associated freshwater runoff in the Kongsfjord basin, Svalbard (1980–2016), J. Glaciol., 64, 943–956, https://doi.org/10.1017/jog.2018.80, 2018. a
Prospero, J. M., Bullard, J. E., and Hodgkins, R.: High-Latitude Dust Over the North Atlantic: Inputs from Icelandic Proglacial Dust Storms, Science, 335, 1078–1082, https://doi.org/10.1126/science.1217447, 2012. a
R Core Team R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria, available at: https://www.R-project.org/ (last access: 13 November 2017), 2016. a
Rysgaard, S. and Nielsen, T. G.: Carbon cycling in a high-arctic marine ecosystem – Young Sound, NE Greenland, Prog. Oceanogr., 71, 426–445, https://doi.org/10.1016/j.pocean.2006.09.004, 2006. a
Rysgaard, S., Nielsen, T. G., and Hansen, B. W.: Seasonal variation in
nutrients, pelagic primary production and grazing in a high-Arctic coastal
marine ecosystem, Young Sound, Northeast Greenland, Mar. Ecol.-Prog. Ser.,
179, 13–25, 1999. a
Rysgaard, S., Vang, T., Stjernholm, M., Rasmussen, B., Windelin, A., and Kiilsholm, S.: Physical conditions, carbon transport, and climate change impacts in a northeast Greenland fjord, Arct. Antarct. Alp. Res., 35, 301–312, https://doi.org/10.1657/1523-0430(2003)035[0301:PCCTAC]2.0.CO;2, 2003. a
Sakov, P., Counillon, F., Bertino, L., Lisæter, K. A., Oke, P. R., and Korablev, A.: TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic, Ocean Sci., 8, 633–656, https://doi.org/10.5194/os-8-633-2012, 2012. a
Sakshaug, E.: Primary and Secondary Production in the Arctic Seas, in The Organic Carbon Cycle in the Arctic Ocean, Springer, Berlin, Heidelberg, 57–81, https://doi.org/10.1007/978-3-642-18912-8_3, 2004. a, b
Sakshaug, E., Johnsen, G., and Kovacs, K.: Ecosystem Barents Sea, Tapir
Academic, edited by: Sakshaug, E., Johnsen, G., and Kovacs, K., Tapir Academic Press, 2009. a
Sathyendranath, S., Brewin, B., Mueller, D., Doerffer, R., Krasemann, H.,
Melin, F., Brockmann, C., Fomferra, N., Peters, M., Grant, M., Steinmetz, F.,
Deschamps, P. Y., Swinton, J., Smyth, T., Werdell, J., Franz, B.,
Maritorena, S., Devred, E., Lee, Z. P., Hu, C. M., and Regner, P.: Ocean
Colour Climate Change Initiative – Approach and Initial Results,
Int. Geosci. Remote Se., 2024–2027, https://doi.org/10.1109/IGARSS.2012.6350979,
2012. a
Schild, K. M., Renshaw, C. E., Benn, D. I., Luckman, A., Hawley, R. L., How, P., Trusel, L., Cottier, F. R., Pramanik, A., and Hulton, N. R. J.: Glacier Calving Rates Due to Subglacial Discharge, Fjord Circulation, and Free Convection, J. Geophys. Res.-Earth, 123, 2189–2204, https://doi.org/10.1029/2017JF004520, 2018. a
Schuler, T. V., Kohler, J., Elagina, N., Hagen, J. O. M., Hodson, A. J., Jania, J. A., Kääb, A. M., Luks, B., Malecki, J., Moholdt, G., Pohjola, V. A., Sobota, I., and Van Pelt, W. J. J.: Reconciling Svalbard Glacier Mass Balance, Front. Earth Sci., 8, 156, https://doi.org/10.3389/feart.2020.00156, 2020. a, b, c, d
Skamarock, W. C. and Klemp, J. B.: A time-split nonhydrostatic atmospheric model for weather research and forecasting applications, J. Comput. Phys., 227, 3465–3485, https://doi.org/10.1016/j.jcp.2007.01.037, 2008. a
Slater, D., Nienow, P., Sole, A., Cowton, T., Mottram, R., Langen, P., and Mair, D.: Spatially distributed runoff at the grounding line of a large Greenlandic tidewater glacier inferred from plume modelling, J. Glaciol., 63, 309–323, https://doi.org/10.1017/jog.2016.139, 2017. a
Song, H., Ji, R., Jin, M., Li, Y., Feng, Z., Varpe, Y., and Davis, C. S.: Strong and regionally distinct links between ice-retreat timing and phytoplankton production in the Arctic Ocean, Limnol. Oceanogr., 66, 2498–2508, https://doi.org/10.1002/lno.11768, 2021. a
Spall, M. A., Jackson, R. H., and Straneo, F.: Katabatic Wind-Driven Exchange in Fjords, J. Geophys. Res.-Oceans, 122, 8246–8262, https://doi.org/10.1002/2017JC013026, 2017. a
Straneo, F. and Cenedese, C.: The Dynamics of Greenland's Glacial Fjords and Their Role in Climate, Annu. Rev. Mar. Sci., 7, 89–112, https://doi.org/10.1146/annurev-marine-010213-135133, 2015. a, b
Straneo, F., Sutherland, D. A., Stearns, L., Catania, G., Heimbach, P., Moon, T., Cape, M. R., Laidre, K. L., Barber, D., Rysgaard, S., Mottram, R., Olsen, S., Hopwood, M. J., and Meire, L.: The Case for a Sustained Greenland Ice Sheet-Ocean Observing System (GrIOOS), Front. Mar. Sci., 6, 138, https://doi.org/10.3389/fmars.2019.00138, 2019. a
Sundfjord, A., Albretsen, J., Kasajima, Y., Skogseth, R., Kohler, J., Nuth, C., Skarohamar, J., Cottier, F., Nilsen, F., Asplin, L., Gerland, S., and Torsvik, T.: Effects of glacier runoff and wind on surface layer dynamics and Atlantic Water exchange in Kongsfjorden, Svalbard; a model study, Estuar. Coast. Shelf S., 187, 260–272, https://doi.org/10.1016/j.ecss.2017.01.015, 2017. a, b, c, d, e
Svendsen, H., Beszczynska-Moller, A., Hagen, J. O., Lefauconnier, B.,
Tverberg, V., Gerland, S., Orbaek, J. B., Bischof, K., Papucci, C.,
Zajaczkowski, M., Azzolini, R., Bruland, O., Wiencke, C., Winther, J. G., and
Dallmann, W.: The physical environment of Kongsfjorden-Krossfjorden, an Arctic
fjord system in Svalbard, Polar Res., 21, 133–166,
https://doi.org/10.3402/polar.v21i1.6479, 2002. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q
Terhaar, J., Lauerwald, R., Regnier, P., Gruber, N., and Bopp, L.: Around one third of current Arctic Ocean primary production sustained by rivers and coastal erosion, Nat. Commun., 12, 169, https://doi.org/10.1038/s41467-020-20470-z, 2021. a
Torsvik, T., Albretsen, J., Sundfjord, A., Kohler, J., Sandvik, A. D., Skarohamar, J., Lindback, K., and Everett, A.: Impact of tidewater glacier retreat on the fjord system: Modeling present and future circulation in Kongsfjorden, Svalbard, Estuar. Coast. Shelf S., 220, 152–165, https://doi.org/10.1016/j.ecss.2019.02.005, 2019. a, b
Tremblay, J. E., Michel, C., Hobson, K. A., Gosselin, M., and Price, N. M.: Bloom dynamics in early opening waters of the Arctic Ocean, Limnol. Oceanogr., 51, 900–912, https://doi.org/10.4319/lo.2006.51.2.0900, 2006. a, b
Tremblay, J. E., Simpson, K. G., Martin, J., Miller, L., Gratton, Y., Barber, D., and Price, N. M.: Vertical stability and the annual dynamics of nutrients and chlorophyll fluorescence in the coastal, southeast Beaufort Sea, J. Geophys. Res.-Oceans, 113, C07S90, https://doi.org/10.1029/2007JC004547, 2008. a
van de Poll, W. H., Kulk, G., Rozema, P. D., Brussaard, C. P. D.,
Visser, R. J. W., and Buma, A. G. J.: Contrasting glacial meltwater effects on
post-bloom phytoplankton on temporal and spatial scales in Kongsfjorden,
Spitsbergen, Elementa – Science of the Anthropocene, 6, 50, https://doi.org/10.1525/elementa.307, 2018.
a
van Pelt, W., Pohjola, V., Pettersson, R., Marchenko, S., Kohler, J., Luks, B., Hagen, J. O., Schuler, T. V., Dunse, T., Noël, B., and Reijmer, C.: A long-term dataset of climatic mass balance, snow conditions, and runoff in Svalbard (1957–2018), The Cryosphere, 13, 2259–2280, https://doi.org/10.5194/tc-13-2259-2019, 2019. a
Wadham, J. L., De'ath, R., Monteiro, F. M., Tranter, M., Ridgwell, A., Raiswell, R., and Tulaczyk, S.: The potential role of the Antarctic Ice Sheet in global biogeochemical cycles, Earth Env. Sci. T. R. So., 104, 55–67, https://doi.org/10.1017/S1755691013000108, 2013. a
Walczowski, W. and Piechura, J.: Influence of the West Spitsbergen Current on the local climate, Int. J. Climatol., 31, 1088–1093, https://doi.org/10.1002/joc.2338, 2011. a
Wassmann, P., Carmack, E., Bluhm, B., Duarte, C., Berge, J., Brown, K., Grebmeier, J., Holding, J., Kosobokova, K., Kwok, R., Matrai, P., Agusti, S., Babin, M., Bhatt, U., Eicken, H., Polyakov, I., Rysgaard, S., and Huntington, H.: Towards a unifying pan-arctic perspective: A conceptual modelling toolkit, Prog. Oceanogr., 189, 102455, https://doi.org/10.1016/j.pocean.2020.102455, 2020. a
Xie, J., Bertino, L., Counillon, F., Lisæter, K. A., and Sakov, P.: Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013, Ocean Sci., 13, 123–144, https://doi.org/10.5194/os-13-123-2017, 2017. a
Zajaczkowski, M. and Wlodarska-Kowalczuk, M.: Dynamic sedimentary environments of an Arctic glacier-fed river estuary (Adventfjorden, Svalbard). I. Flux, deposition, and sediment dynamics, Estuar. Coast. Shelf S., 74, 285–296, https://doi.org/10.1016/j.ecss.2007.04.015, 2007. a
Short summary
We investigate the effect of glacier meltwater on phytoplankton dynamics in Svalbard. Phytoplankton forms the basis of the marine food web, and its seasonal dynamics depend on the availability of light and nutrients, both of which are affected by glacier runoff. We use satellite ocean color, an indicator of phytoplankton biomass, and glacier mass balance modeling to find that the overall effect of glacier runoff on marine productivity is positive within the major fjord systems of Svalbard.
We investigate the effect of glacier meltwater on phytoplankton dynamics in Svalbard....
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