Riverine impact on future projections of marine primary 1 production and carbon uptake 2

Riverine transport of nutrients and carbon from inland waters to the coastal and finally the open ocean 12 alters marine primary production (PP) and carbon (C) uptake, not only regionally but also globally. So far, this 13 contribution is represented in the state-of-the-art Earth system models with limited effort. Here we assess changes 14 in marine PP and C uptake projected under the Representative Concentration Pathway 4.5 climate scenario using 15 the Norwegian Earth system model, with four riverine configurations: deactivated, fixed at a contemporary level, 16 coupled to simulated freshwater runoff, and following four plausible future scenarios. The inclusion of riverine 17 nutrients and carbon improves the modelled contemporary spatial distribution relative to observations, especially 18 on the continental margins (5.4% reduction in root mean square error [RMSE] for PP) and in the North Atlantic 19 region (7.4% reduction in RMSE for C uptake). Riverine nutrient inputs alleviate nutrient limitation, especially 20 under future warmer conditions as stratification increases, and thus lessen the projected future decline in PP by 21 up to 0.6 PgC yr-1 (27.3%) globally depending on the riverine configuration. The projected C uptake is enhanced 22 along continental margins where increased PP, due to riverine nutrient inputs, dominates over the CO2 outgassing 23 owing to riverine organic matter inputs. Conversely, where the riverine organic matter inputs dominate over the 24 nutrient inputs, the projected C uptake is reduced. The large range of the riverine input across our four riverine 25 configurations does not transfer to a large uncertainty of the projected global PP and ocean C uptake, suggesting 26 that transient riverine inputs are more important for high-resolution regional studies such as in the North Atlantic 27 and along the continental margins. 28

[1]  J. Hartmann,et al.  Oceanic CO2 outgassing and biological production hotspots induced by pre-industrial river loads of nutrients and carbon in a global modeling approach , 2020 .

[2]  A. Cabré,et al.  Consistent global responses of marine ecosystems to future climate change across the IPCC AR5 earth system models , 2015, Climate Dynamics.

[3]  Christoph Heinze,et al.  Multiple stressors of ocean ecosystems in the 21st century: projections with CMIP5 models , 2013 .

[4]  R. Neale,et al.  The Mean Climate of the Community Atmosphere Model (CAM4) in Forced SST and Fully Coupled Experiments , 2013 .

[5]  A. Kirkevåg,et al.  The Norwegian Earth System Model, NorESM1-M – Part 1: Description and basic evaluation of the physical climate , 2013 .

[6]  Karl E. Taylor,et al.  An overview of CMIP5 and the experiment design , 2012 .

[7]  A. Thomson,et al.  The representative concentration pathways: an overview , 2011 .

[8]  Carolien Kroeze,et al.  Global river nutrient export: A scenario analysis of past and future trends , 2010 .

[9]  Carolien Kroeze,et al.  Global Nutrient Export from WaterSheds 2 (NEWS 2): Model development and implementation , 2010, Environ. Model. Softw..

[10]  Jens Hartmann,et al.  Global patterns of dissolved silica export to the coastal zone: Results from a spatially explicit global model , 2009 .

[11]  Scott C. Doney,et al.  Projected 21st century decrease in marine productivity: a multi-model analysis , 2009 .

[12]  J. Hartmann Bicarbonate-fluxes and CO2-consumption by chemical weathering on the Japanese Archipelago - Application of a multi-lithological model framework , 2009 .

[13]  E. Maier‐Reimer,et al.  Contribution of riverine nutrients to the silicon biogeochemistry of the global ocean - a model study , 2009 .

[14]  E. Boss,et al.  Carbon‐based primary productivity modeling with vertically resolved photoacclimation , 2008 .

[15]  E. Buitenhuis,et al.  Potential impact of changes in river nutrient supply on global ocean biogeochemistry , 2007 .

[16]  David A. Siegel,et al.  Climate-driven trends in contemporary ocean productivity , 2006, Nature.

[17]  N. Mahowald,et al.  Atmospheric global dust cycle and iron inputs to the ocean , 2005 .

[18]  Olivier Aumont,et al.  Response of diatoms distribution to global warming and potential implications: A global model study , 2005 .

[19]  Richard A. Feely,et al.  A global ocean carbon climatology: Results from Global Data Analysis Project (GLODAP) , 2004 .

[20]  B. Maxwell,et al.  Humans, Hydrology, and the Distribution of Inorganic Nutrient Loading to the Ocean , 2003 .

[21]  O. Aumont,et al.  Riverine‐driven interhemispheric transport of carbon , 2001 .

[22]  Gurvan Madec,et al.  Potential impact of climate change on marine export production , 2001 .

[23]  P. Falkowski,et al.  Photosynthetic rates derived from satellite‐based chlorophyll concentration , 1997 .

[24]  Rainer Bleck,et al.  Salinity-driven Thermocline Transients in a Wind- and Thermohaline-forced Isopycnic Coordinate Model of the North Atlantic , 1992 .

[25]  E. Boyle,et al.  Trace Elements in the Mississippi River Delta Outflow Region: Behavior at High Discharge , 1991 .

[26]  M. Meybeck Carbon, nitrogen, and phosphorus transport by world rivers , 1982 .

[27]  E. Sholkovitz,et al.  The coagulation, solubility and adsorption properties of Fe, Mn, Cu, Ni, Cd, Co and humic acids in a river water , 1981 .

[28]  M. Meybeck,et al.  Iron behaviour in the Zaire estuary , 1978 .

[29]  E. Boyle,et al.  The mechanism of iron removal in estuaries , 1977 .

[30]  Clifford A. Jacobs,et al.  University Corporation for Atmospheric Research , 2012 .

[31]  Brian C. O'Neill,et al.  Changes in ecosystem services and their drivers across the scenarios , 2005 .

[32]  R. Chester The transport of material to the oceans: the river pathway , 1990 .

[33]  R. Chester The input of material to the ocean reservoir , 1990 .

[34]  M. Sakata,et al.  High-latitude controls of thermocline nutrients and low latitude biological productivity , 2022 .