Articles | Volume 21, issue 19
https://doi.org/10.5194/bg-21-4469-2024
© Author(s) 2024. 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-21-4469-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Oct 2024
Research article |
| 14 Oct 2024
| 14 Oct 2024
Riverine nutrient impact on global ocean nitrogen cycle feedbacks and marine primary production in an Earth system model
Miriam Tivig
CORRESPONDING AUTHOR
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, Wischhofstr. 1–3, 24148 Kiel, Germany
Deutscher Wetterdienst, Abteilung Klima und Umwelt, Michendorfer Chaussee 23, 14473 Potsdam, Germany
David P. Keller
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, Wischhofstr. 1–3, 24148 Kiel, Germany
Carbon to Sea Initiative, Washington, DC, USA
Andreas Oschlies
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, Wischhofstr. 1–3, 24148 Kiel, Germany
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Cited articles
Altabet, M. A.: Constraints on oceanic N balance/imbalance from sedimentary 15N records, Biogeosciences, 4, 75–86, https://doi.org/10.5194/bg-4-75-2007, 2007. a
Bange, H., Naqvi, S., and Codispoti, L.: The nitrogen cycle in the Arabian Sea, Prog. Oceanogr., 65, 145–158, https://doi.org/10.1016/j.pocean.2005.03.002, 2005. a
Baturin, G. N.: Phosphorus Cycle in the Ocean, Lithol. Miner. Resour., 38, 101–119, 2003. a
Benitez-Nelson, C. R.: The biogeochemical cycling of phosphorus in marine systems, Earth-Sci. Rev., 51, 109–135, https://doi.org/10.1016/S0012-8252(00)00018-0, 2000. a, b, c
Beusen, A. H. W. and Bouwman, A. F.: Future projections of river nutrient export to the global coastal ocean show persisting nitrogen and phosphorus distortion, Frontiers:Water, 4, 893585, https://doi.org/10.3389/frwa.2022.893585, 2022. a, b, c, d
Beusen, A. H. W., Bouwman, A. F., Van Beek, L. P. H., Mogollón, J. M., and Middelburg, J. J.: Global riverine N and P transport to ocean increased during the 20th century despite increased retention along the aquatic continuum, Biogeosciences, 13, 2441–2451, https://doi.org/10.5194/bg-13-2441-2016, 2016. a
Bohlen, L., Dale, A. W., and Wallmann, K.: Simple transfer functions for calculating benthic fixed nitrogen losses and C : N : P regeneration ratios in global biogeochemical models, Global Biogeochem. Cy., 26, GB3029, https://doi.org/10.1029/2011GB004198, 2012. a, b, c, d
Cappellen, P. V. and Maavara, T.: Rivers in the Anthropocene: Global scale modifications of riverine nutrient fluxes by damming, Ecohydrology & Hydrobiology, 16, 106–111, 2016. a
Chien, C.-T., Pahlow, M., Schartau, M., Li, N., and Oschlies, A.: Effects of phytoplankton physiology on global ocean biogeochemistry and climate, Sci. Adv., 9, eadg1725, https://doi.org/10.1126/sciadv.adg1725, 2023. a
Claussen, M., Mysak, L. A., Weaver, A. J., Crucifix, M., Fichefet, T., Loutre, M.-F., Weber, S., Alcamo, J., Alexeev, V., Berger, A., Calov, R., Ganopolski, A., Goosse, H., Lohmann, G., Lunkeit, F., Mokhov, I., Petoukhov, V., Stone, P., and Wang, Z.: Earth System Models of Intermediate Complexity: Closing the Gap in the Spectrum of Climate System Models, Clim. Dynam., 18, 579–586, https://doi.org/10.1007/s00382-001-0200-1, 2002. a
Codispoti, L. A.: Is the ocean losing nitrate?, Nature, 376, 724, https://doi.org/10.1038/376724a0, 1995. a
Codispoti, L. A.: An oceanic fixed nitrogen sink exceeding 400 Tg N a−1 vs the concept of homeostasis in the fixed-nitrogen inventory, Biogeosciences, 4, 233–253, https://doi.org/10.5194/bg-4-233-2007, 2007. a, b
Codispoti, L. A., Brandes, J. A., Christensen, J. P., Devol, A. H., Naqvi, S. A., Paerl, H. W., and Yoshinari, T.: The oceanic fixed nitrogen and nitrous oxide budgets: Moving targets as we enter the anthropocene?, Sci. Mar., 65, 85–105, 2001. a
Colman, A. S. and Holland, H. D.: The Global Diagenetic Flux of Phosphorus from Marine Sediments to the Oceans: Redox Sensitivity and the Control of Atmospheric Oxygen Levels, in: Marine Authigenesis: From Global to Microbial, Vol. 66, 53–75, SEPM Society for Sedimentary Geology, ISBN 9781565761889, https://doi.org/10.2110/pec.00.66.0053, 2000. a, b, c
Compton, J., Mallinson, D., Glenn, C. R., Filippelli, G., Föllmi, K., Shields, G., and Zanin, Y.: Variations in the global phosphorus cycle, in: Marine Authigenesis: From Global to Microbial, Vol. 66, 21–33, SEPM Society for Sedimentary Geology, ISBN 1-56576-064-6, https://doi.org/10.2110/pec.00.66.0021, 2000. a, b
Deutsch, C., Gruber, N., Key, R. M., and Sarmiento, J. L.: Denitrification and N2 fixation in the Pacific Ocean, Global Biogeochem. Cy., 15, 483–506, 2001. a
Dumont, E., Harrison, J. A., Kroeze, C., Bakker, E. J., and Seitzinger, S. P.: Impacts of Atmospheric Anthropogenic Nitrogen on the Open Ocean, Global Biogeochem. Cy., 19, GB4S02, https://doi.org/10.1029/2005GB002488, 2005. a, b
Eby, M., Zickfeld, K., Montenegro, A., Archer, D., Meissner, K. J., and Weaver, A. J.: Lifetime of Anthropogenic Climate Change: Millennial Time Scales of Potential CO2 and Surface Temperature Perturbations, J. Climate, 22, 2501–2511, https://doi.org/10.1175/2008JCLI2554.1, 2009. a, b
Falkowski, P. G.: Evolution of the nitrogen cycle and its influence on the biological sequestration of CO2 in the ocean, Nature, 387, 272–275, https://doi.org/10.1038/387272a0, 1997. a
Fanning, A. F. and Weaver, A. J.: An atmospheric energy-moisture balance model: Climatology, interpentadal climate change, and coupling to an ocean general circulation model, J. Geophys. Res., 101, 15111–15128, https://doi.org/10.1029/96JD01017, 1996. a
Flögel, S., Wallmann, K., Poulson, C. J., Zhou, J., Oschlies, A., Voigt, S., and Kuhnt, W.: Simulating the biogeochemical effects of volcanic CO2 degassing on the oxygen-state of the deep ocean during the Cenomanian/Turonian Anoxic Event (OAE2), Earth Planet Scientific Letters, 305, 371–384, https://doi.org/10.1016/j.epsl.2011.03.018, 2011. a, b, c, d, e
Föllmi, K. B.: The Phosphorus Cycle, phosphogenesis and marine phosphate-rich deposits, Earth-Sci. Rev., 40, 55–124, https://doi.org/10.1016/0012-8252(95)00049-6, 1995. a, b, c, d
Galloway, J. N., Dentener, F., Capone, D., Boyer, E., Howarth, R., Seitzinger, S., Asner, G., Cleveland, C., Green, P., Holland, E., Karl, D., Michaels, A., Porter, J., Townsend, A., and Vörösmarty, C.: Nitrogen cycles: past, present, and future, Biogeochemistry, 70, 153–226, https://doi.org/10.1007/s10533-004-0370-0, 2004. a
Gao, S., Schwinger, J., Tjiputra, J., Bethke, I., Hartmann, J., Mayorga, E., and Heinze, C.: Riverine impact on future projections of marine primary production and carbon uptake, Biogeosciences, 20, 93–119, https://doi.org/10.5194/bg-20-93-2023, 2023. a
Garcia, H. E., Weathers, K., Paver, C. R., Smolyar, I., Boyer, T. P., Locarnini, R. A., Zweng, M. M., Mishonov, A. V., Baranova, O. K., Seidov, D., and Reagan, J. R.: Volume 3: Dissolved Oxygen, Apparent Oxygen Utilization, and Oxygen Saturation, in: World Ocean Atlas 2018, Volume 3, 38 pp., NOAA Atlas NESDIS 83, https://www.nodc.noaa.gov/OC5/woa18/pubwoa18.html (last access: 2 October 2024), 2019a. a
Garcia, H. E., Weathers, K., Paver, C. R., Smolyar, I., Boyer, T. P., Locarnini, R. A., Zweng, M. M., Mishonov, A. V., Baranova, O. K., Seidov, D., and Reagan, J. R.: Volume 4: Dissolved Inorganic Nutrients (phosphate, nitrate and nitrate+nitrite, silicate), in: World Ocean Atlas 2018, 35 pp., NOAA Atlas NESDIS 84, https://www.ncei.noaa.gov/sites/default/files/2020-04/woa18_vol4.pdf (last access: 2 October 2024), 2019b. a
Garnier, J., Beusen, A., Thieu, V., Billen, G., and Bouwman, L.: N : P : Si nutrient export ratios and ecological consequences in coastal seas evaluated by the ICEP approach, Global Biogeochem. Cy., 24, GB0A05, https://doi.org/10.1029/2009GB003583, 2010. a
Grosse, J., Burson, A., Stomp, M., Huisman, J., and Boschker, H. T. S.: From Ecological Stoichiometry to Biochemical Composition: Variation in N and P Supply Alters Key Biosynthetic Rates in Marine Phytoplankton, Front. Microbiol., 8, 1299, https://doi.org/10.3389/fmicb.2017.01299, 2017. a
Gruber, N.: The Dynamics of the Marine Nitrogen Cycle and its Influence on Atmospheric CO2 Variations, in: The Ocean Carbon Cycle and Climate, edited by: Follows, M. and Oguz, T., 97–148, Springer Netherlands, Dordrecht, https://doi.org/10.1007/978-1-4020-2087-2_4, 2004. a, b, c, d
Gruber, N.: The marine nitrogen cycle: Overview and challenges, in: Nitrogen in the Marine Environment, edited by: Capone, D. G., Bronk, D. A., Mulholland, M. R., and Carpenter, E. J., 2nd Edn., chap. 1, 1–50, Academic Press, San Diego, California, https://doi.org/10.1016/B978-0-12-372522-6.00001-3, 2008. a, b
Gruber, N. and Sarmiento, J. L.: Global patterns of marine nitrogen fixation and denitrification, Global Biogeochem. Cy., 11, 235–266, https://doi.org/10.1029/97GB00077, 1997. a, b
Harrison, J. A., Seitzinger, S. P., Bouwman, A. F., Caraco, N. F., Beusen, A. H. W., and Vörösmarty, C. J.: Dissolved inorganic phosphorus export to the coastal zone: Results from a spatially explicit, global model, Global Biogeochem. Cy., 19, GB4S03, https://doi.org/10.1029/2004GB002357, 2005. a
Ingall, E. and Jahnke, R.: Evidence for enhanced phosphorus regeneration from marine sediments overlain by oxygen depleted waters, Geochim. Cosmochim. Ac., 58, 2571–2575, 1994. a
Izett, J. G. and Fennel, K.: Estimating the Cross-Shelf Export of Riverine Materials: Part 1. General Relationships From an Idealized Numerical Model, Global Biogeochem. Cy., 32, 160–175, https://doi.org/10.1002/2017GB005667, 2018. a
Jickells, T. and Moore, C. M.: The Importance of Atmospheric Deposition for Ocean Productivity, Annu. Rev. Ecol. Syst., 46, 481–501, https://doi.org/10.1146/annurev-ecolsys-112414-054118, 2015. a
Johnson, K. S., Riser, S. C., and Ravichandran, M.: Oxygen Variability Controls Denitrification in the Bay of Bengal Oxygen Minimum Zone, Geophys. Res. Lett., 46, 804–811, https://doi.org/10.1029/2018GL079881, 2019. a
Karl, D., Micheals, A., B.Bergman, Capone, D., Carpenter, E., Letelier, R., Lipschultz, F., Paerl, H., Sigman, D., and Stal, L.: Dinitrogen fixation in the world's oceans, Biogeochemistry, 57/58, 47–98, 2002. a
Kemena, T. P., Landolfi, A., Oschlies, A., Wallmann, K., and Dale, A. W.: Ocean phosphorus inventory: large uncertainties in future projections on millennial timescales and their consequences for ocean deoxygenation, Earth Syst. Dynam., 10, 539–553, https://doi.org/10.5194/esd-10-539-2019, 2019. a, b, c, d, e, f, g, h, i, j, k
Krishnamurthy, A., Moore, J. K., Mahowald, N., Luo, C., Doney, S. C., Lindsay, K., and Zender, C. S.: Impacts of increasing anthropogenic soluble iron and nitrogen deposition on ocean biogeochemistry, Global Biogeochem. Cy., 23, GB3016, https://doi.org/10.1029/2008GB003440, 2009. a
Lacroix, F., Ilyina, T., and Hartmann, J.: Oceanic CO2 outgassing and biological production hotspots induced by pre-industrial river loads of nutrients and carbon in a global modeling approach, Biogeosciences, 17, 55–88, https://doi.org/10.5194/bg-17-55-2020, 2020. a, b
Landolfi, A., Koeve, W., Dietze, H., Kähler, P., and Oschlies, A.: A new perspective on environmental controls of marine nitrogen fixation, Geophys. Res. Lett., 42, 4482–4489, https://doi.org/10.1002/2015GL063756, 2015. a
Liebig, J. v.: Die organische Chemie in ihrer Anwendung auf Agricultur und Physiologie (Organic chemistry in its applications to agriculture and physiology), Friedrich Vieweg und Sohn Publishing Company, Braunschweig, Germany, 1840. a
Löscher, C. R., Mohr, W., Bange, H. W., and Canfield, D. E.: No nitrogen fixation in the Bay of Bengal?, Biogeosciences, 17, 851–864, https://doi.org/10.5194/bg-17-851-2020, 2020. a
Martiny, A. C., Lomas, M. W., Fu, W., Boyd, P. W., Chen, Y.-I. L., Cutter, G., Ellwood, M. J., Furuya, K., Hashihama, F., Kanda, J., Karl, D. M., Kodama, T., Li, Q. P., Ma, J., Moutin, T., Woodward, E. M. S., and Moore, J. K.: Biogeochemical controls of surface ocean phosphate, Sci. Adv., 5, eaax0341, https://doi.org/10.1126/sciadv.aax0341, 2019. a
Mather, R. L., Reynolds, S. E., Wolff, G. A., Williams, R. G., Torres-Valdes, S., Woodward, E. M. S., Landolfi, A., Pan, X., Sanders, R., and Achterberg, E. P.: Phosphorus cycling in the North and South Atlantic Ocean subtropical gyres, Nat. Geosci., 1, 439–443, https://doi.org/10.1038/ngeo232, 2008. a
Mayorga, E., Seitzinger, S. P., Harrison, J. A., Dumont, E., Beusen, A. H. W., Bouwman, A., Fekete, B. M., Kroeze, C., and van Drecht, G.: Global Nutrient Export fromWaterSheds 2 (NEWS 2): Model development and implementation, Environ. Modell. Softw., 25, 837–853, https://doi.org/10.1016/j.envsoft.2010.01.007, 2010. a, b, c, d, e
Mengis, N., Keller, D. P., MacDougall, A. H., Eby, M., Wright, N., Meissner, K. J., Oschlies, A., Schmittner, A., MacIsaac, A. J., Matthews, H. D., and Zickfeld, K.: Evaluation of the University of Victoria Earth System Climate Model version 2.10 (UVic ESCM 2.10), Geosci. Model Dev., 13, 4183–4204, https://doi.org/10.5194/gmd-13-4183-2020, 2020. a
Monteiro, F. M., Pancost, R. D., Ridgwell, A., and Donnadieu, Y.: Nutrients as the dominant control on the spread of anoxia and euxinia across the Cenomanian-Turonian oceanic anoxic event (OAE2): Model-data comparison, Paleoceanography, 27, PA4209, https://doi.org/10.1029/2012PA002351, 2012. a
Moore, C. M., Mills, M. M., Achterberg, E. P., Geider, R. J., LaRoche, J., Lucas, M. I., McDonagh, E. L., Pan, X., Poulton, A. J., Rijkenberg, M. J. A., Suggett, D. J., Ussher, S. J., and Woodward, E. M. S.: Large-scale distribution of Atlantic nitrogen fixation controlled by iron availability, Nat. Geosci. Lett., 2, 867–871, https://doi.org/10.1038/NGEO667, 2009. a
Moore, J. K. and Doney, S. C.: Iron availability limits the ocean nitrogen inventory stabilizing feedbacks between marine denitrification and nitrogen fixation, Global Biogeochem. Cy., 21, GB2001, https://doi.org/10.1029/2006GB002762, 2007. a
Naqvi, S. W. A. and Unnikrishnan, A. S.: Hydrography and biogeochemistry of the coastal ocean, Surface Ocean–Lower Atmosphere Processes, 187, 233–250, 2009. a
Niemeyer, D., Kemena, T. P., Meissner, K. J., and Oschlies, A.: A model study of warming-induced phosphorus–oxygen feedbacks in open-ocean oxygen minimum zones on millennial timescales, Earth Syst. Dynam., 8, 357–367, https://doi.org/10.5194/esd-8-357-2017, 2017. a, b, c
Oschlies, A., Brandt, P., Stramma, L., and Schmidtko, S.: Drivers and mechanisms of ocean deoxygenation, Nat. Geosci., 11, 467–473, https://doi.org/10.1038/s41561-018-0152-2, 2018. a, b
Oschlies, A., Koeve, W., Landolfi, A., and Kähler, P.: Loss of fixed nitrogen causes net oxygen gain in a warmer future ocean, Nat. Commun., 10, 2805, https://doi.org/10.1038/s41467-019-10813-w, 2019. a
Palastanga, V., Slomp, C. P., and Heinze, C.: Long‐term controls on ocean phosphorus and oxygen in a global biogeochemical model, Global Biogeochem. Cy., 25, GB3024, https://doi.org/10.1029/2010GB003827, 2011. a
Partanen, A.-I., Keller, D. P., Korhonen, H., and Matthews, H. D.: Impacts of sea spray geoengineering on ocean biogeochemistry, Geophys. Res. Lett., 43, 7600–7608, https://doi.org/10.1002/2016GL070111, 2016. a
Paulmier, A. and Ruiz-Pino, D.: Oxygen minimum zones (OMZs) in the modern ocean, Global Biogeochem. Cy., 25, GB3024, https://doi.org/10.1016/j.pocean.2008.08.001, 2009. a
Santos, I. R., Chen, X., Lecher, A. L., Sawyer, A. H., Moosdorf, N., Rodellas, V., Tamborski, J., Cho, H.-M., Dimova, N., Sugimoto, R., Bonaglia, S., Li, H., Hajati, M.-C., and Li, L.: Submarine groundwater discharge impacts on coastal nutrient biogeochemistry, Nat. Rev. Earth Environ., 2, 307–323, https://doi.org/10.1038/s43017-021-00152-0, 2021. a
Schmittner, A., Oschlies, A., Giraud, X., Eby, M., and Simmons, H. L.: A global model of the marine ecosystem for long-term simulations: Sensitivity to ocean mixing buoyancy forcing, particle sinking, and dissolved organic matter cycling, Global Biogeochem. Cy., 19, GB3004, https://doi.org/10.1029/2004GB002283, 2005. a
Schmittner, A., Oschlies, A., Matthews, H. D., and Galbraith, E. D.: Future changes in climate, ocean circulation, ecosystems, and biogeochemical cycling simulated for a business-as-usual CO2 emission scenario until year 4000 AD, Global Biogeochem. Cy., 22, GB1013, https://doi.org/10.1029/2007GB002953, 2008. a, b
Séférian, R., Berthet, S., Yool, A., Palmiéri, J., Bopp, L., Tagliabue, A., Kwiatkowski, L., Aumont, O., Christian, J., Dunne, J., Gehlen, M., Ilyina, T., John, J. G., Li, H., Long, M. C., Luo, J. Y., Nakano, H., Romanou, A., Schwinger, J., Stock, C., Santana-Falcón, Y., Takano, Y., Tjiputra, J., Tsujino, H., Watanabe, M., Wu, T., Wu, F., and Yamamoto, A.: Tracking Improvement in Simulated Marine Biogeochemistry Between CMIP5 and CMIP6, Current Climate Change Reports, 6, 95–119, https://doi.org/10.1007/s40641-020-00160-0, 2020. a, b
Seitzinger, S. P., Mayorga, E., Bouwman, A. F., Kroeze, C., Beusen, A. H. W., Billen, G., Drecht, G. V., Dumont, E., Fekete, B. M., Garnier, J., and Harrison, J. A.: Global river nutrient export: A scenario analysis of past and future trends, Global Biogeochem. Cy., 24, GB0A08, https://doi.org/10.1029/2009GB003587, 2010. a
Sharples, J., Middelburg, J. J., Fennel, K., and Jickells, T. D.: What proportion of riverine nutrients reaches the open ocean?, Global Biogeochem. Cy., 31, 39–58, https://doi.org/10.1002/2016GB005483, 2017. a
Slomp, C. P. and Capellen, P. V.: Nutrient inputs to the coastal ocean through submarine groundwater discharge: controls and potential impact, J. Hydrol., 295, 64–86, https://doi.org/10.1016/j.jhydrol.2004.02.018, 2004. a
Sohm, J. A., Webb, E. A., and Capone, D. G.: Emerging patterns of marine nitrogen fixation, Nat. Rev. Microbiol., 9, 499–508, https://doi.org/10.1038/nrmicro2594, 2011. a
Somes, C. J. and Oschlies, A.: On the influence of “non-Redfield” dissolved organic nutrient dynamics on the spatial distribution of N2 fixation and the size of the marine fixed nitrogen inventory, Global Biogeochem. Cy., 29, 973–993, https://doi.org/10.1002/2014GB005050, 2015. a, b
Somes, C. J., Schmittner, A., Galbraith, E. D., Lehmann, M. F., Altabet, M. A., Montoya, J. P., Letelier, R. M., Mix, A. C., Bourbonnais, A., and Eby, M.: Simulating the global distribution of nitrogen isotopes in the ocean, Global Biogeochem. Cy., 24, GB4019, https://doi.org/10.1029/2009GB003767, 2010. a
Somes, C. J., Oschlies, A., and Schmittner, A.: Isotopic constraints on the pre-industrial oceanic nitrogen budget, Biogeosciences, 10, 5889–5910, https://doi.org/10.5194/bg-10-5889-2013, 2013. a, b
Somes, C. J., Schmittner, A., Muglia, J., and Oschlies, A.: SA Three-Dimensional Model of theMarine Nitrogen Cycle during the Last Glacial Maximum Constrained by Sedimentary Isotopes, Front. Mar. Sci., 4, 108, https://doi.org/10.3389/fmars.2017.00108, 2017. a, b
Tivig, M., Keller, D. P., and Oschlies, A.: Riverine nitrogen supply to the global ocean and its limited impact on global marine primary production: a feedback study using an Earth system model, Biogeosciences, 18, 5327–5350, https://doi.org/10.5194/bg-18-5327-2021, 2021. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p
Tivig, M., Keller, D. P., and Oschlies, A.: UVic simulation with riverine nutrient export from NEWS2 dataset, GEOMAR Helmholtz Centre for Ocean Research Kiel [data set, code], http://hdl.handle.net/20.500.12085/85adfcd5-bc86-440c-a205-496749a9025f, 2024. a
Voss, M., Bange, H. W., Dippner, J. W., Middelburg, J. J., Montoya, J. P., and Ward, B.: The marine nitrogen cycle: recent discoveries, uncertainties and the potential relevance of climate change, Philos. T. Roy. Soc. B, 368, 20130121, https://doi.org/10.1098/rstb.2013.0121, 2013. a
Wang, W.-L., Moore, J. K., Martiny, A. C., and Primeau, F. W.: Convergent estimates of marine nitrogen fixation, Nature, 566, 205–211, https://doi.org/10.1038/s41586-019-0911-2, 2019. a
Weaver, A. J., Eby, M., Wiebe, E. C., Bitz, C., Duffy, P. B., Ewen, T. L., Fanning, A. F., Holland, M. M., MacFadyen, A., Matthews, H. D., Meissner, K. J., Saenko, O., Schmittner, A., Wang, H., and Yoshimori, M.: The UVic Earth System Climate Model: Model Description, Climatology, and Applications to Past, Present and Future Climates, Atmosphere-Ocean, 39, 361–428, https://doi.org/10.1080/07055900.2001.9649686, 2001. a, b, c
Zehr, J. P. and Capone, G.: Changing perspectives in marine nitrogen fixation, Science, 368, eaay9514, https://doi.org/10.1126/science.aay9514, 2020. a
Short summary
Marine biological production is highly dependent on the availability of nitrogen and phosphorus. Rivers are the main source of phosphorus to the oceans but poorly represented in global model oceans. We include dissolved nitrogen and phosphorus from river export in a global model ocean and find that the addition of riverine phosphorus affects marine biology on millennial timescales more than riverine nitrogen alone. Globally, riverine phosphorus input increases primary production rates.
Marine biological production is highly dependent on the availability of nitrogen and phosphorus....
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