Abstract
Global observations show that the ocean lost approximately 2% of its oxygen inventory over the last five decades 1–3, with important implications for marine ecosystems 4, 5. The rate of change varies with northwest Atlantic coastal waters showing a long-term drop 6, 7 that vastly outpaces the global and North Atlantic basin mean deoxygenation rates 5, 8. However, past work has been unable to resolve mechanisms of large-scale climate forcing from local processes. Here, we use hydrographic evidence to show a Labrador Current retreat is playing a key role in the deoxygenation on the northwest Atlantic shelf. A high-resolution global coupled climate-biogeochemistry model 9 reproduces the observed decline of saturation oxygen concentrations in the region, driven by a retreat of the equatorward-flowing Labrador Current and an associated shift toward more oxygen-poor subtropical waters on the shelf. The dynamical changes underlying the shift in shelf water properties are correlated with a slowdown in the simulated Atlantic Meridional Overturning Circulation 10. Our results provide strong evidence that a major, centennial-scale change of the Labrador Current is underway, and highlight the potential for ocean dynamics to impact coastal deoxygenation over the coming century.
There is wide consensus that the global ocean oxygen (O2) concentration is decreasing, and will continue to do so over the next century due to global warming 11, 12. Thus far, the O2 inventory of the North Atlantic basin has not followed the general trend 2, but has instead shown marked spatial variability driven by natural climate oscillations 13, 14 that approximately balance over the whole basin 15. But despite the muted historical change for the North Atlantic on average, dramatic long-term deoxygenation trends have been reported over the last century on the northwest Atlantic shelf 6, 7, 16 (Fig. 1), a region that hosts a highly productive benthic ecosystem.
Figure 1. Schematic of the large-scale circulation in the northwest Atlantic.
Labrador Current waters flow equatorward along the shelf break. At the Grand Banks, the Labrador Current must take a sharp right hand (westward) turn to flow along the shelf break and maintain a direct advective connection with the Slope Water region at the offshore edge of the Scotian Shelf and Laurentian Channel. Circulation on the slope mixes well-oxygenated Labrador Slope Water with oxygen-poor subtropical waters 34. In turn, slope water masses (white shading) and circulation influence water properties on the continental shelf 28. Bathymetry is indicated in color and the 200 m isobath as the solid contour. Circulation schematics follows geostrophic currents 35.
The recent deoxygenation trends have also been recorded in marine sediments in the region 17, 18, where they stand out as unique occurrences over the last millennium, and paleoceanographic records have documented warming, salinification and changing nutrient supply on the Scotian Shelf during the past century 19–21. It has been speculated that these coastal changes reflect variations in the large-scale offshore circulation that involves the Gulf Stream, which transports oxygen-poor tropical and subtropical water masses northward, and the Labrador Current, which transports well-oxygenated water masses southward 7, 20. However, it has been difficult to piece together the observations given their sparsity, and both the ocean dynamics and biogeochemistry in this complex region are not well represented by the coarse resolution typical of global climate models 22–24, leaving the underlying mechanisms poorly understood.
Figure 2 shows updated historical time series for three well-studied sites on the Scotian Shelf and in the Gulf of Saint Lawrence that confirm the continued trajectories of previously-reported trends 6, 7, 16. Although the observations show large decadal-scale variability, the long-term average rate of O2 decline at Cabot Strait was −0.51 ± 0.24 µM yr−1 between 1960 and 2015 on isopycnal σθ = 27.25 kg m−3, while on the Central Scotian Shelf it was −1.19 ± 0.45 µM yr−1 between 1961 and 2014 at 150 m depth, more than twice as fast (Fig. S1). The O2 trend at Cabot Strait is indistinguishable from the trend of −0.5 µM yr−1 between 1958 and 2015 recently estimated from World Ocean Atlas data in waters of 100-400 m depth in the open ocean, south of the Scotian Shelf 3. Oxygen concentrations can be conceptualized as the difference between a saturation concentration equal to the oxygen concentration the waters would have in equilibrium with the atmosphere given their temperature and salinity, and the Apparent Oxygen Utilization (AOU) due to the consumption of oxygen by heterotrophic organisms, such that The trends of are similar at the three sites (Fig. 2c, dots; Fig. S1) reflecting comparable trends of temperature and salinity (Figs. 2a,b, dots; Fig. S2). This similarity implies that the main difference behind the large change on the Scotian Shelf, relative to the Cabot Strait, is due to differences in the AOU.
Figure 2. Warming, salinity increase, and deoxygenation in the coastal northwest Atlantic.
Observational anomaly time series (dots) show the change in (a) potential temperature referenced to the surface (θ), (b) salinity (S), (c) oxygen saturation concentration and (d) oxygen (O2) on the isopycnal σθ = 27.25 kg m−3 at Cabot Strait (blue, CS), the Laurentian Channel Mouth (black, LCM), and at 150 m in the central Scotian Shelf (magenta, CSS). Anomalies are relative to a time average computed between 1920 and 1960 for θ, S, and For O2, the time average is between 1960 and 1970 at CS and between 1961 and 1999 at CSS. Standard error bars are shown in Figs. S1,S2. Time series of change at the corresponding model locations (solid lines) are shown on a transformed time axis (upper axis) that roughly corresponds to the historical CO2 trajectory (Methods). The vertical gray line in each panel denotes the year at which modeled atmospheric pCO2 doubles relative to the pre-industrial value. Observed and modeled trends for each property at each location are provided in Figs. S1,S2. The depth evolution of isopycnal σθ = 27.25 kg m−3 at CS and the LCM is shown in Fig. S8.
To characterize the dynamics behind this dramatic historical deoxygenation, we analyze a high-resolution global coupled climate model, forced by an idealized CO2-driven global warming scenario (Methods). This model faithfully captures critical aspects of the northwest Atlantic circulation, specifically reducing a warm bias on the Scotian Shelf that is common to coarse resolution models in which the Gulf Stream extends too far north 23. Moreover, it simulates a spatial pattern of surface cooling in the subpolar North Atlantic and warming on the Scotian Shelf that agrees well with historical observations; in the simulation, this pattern of sea surface temperature change is linked to a slowing of the Atlantic Meridional Overturning Circulation (AMOC) 10.
The model reproduces the general decline associated with increasing temperature and salinity at the three sites (Figs. 2a,b,c; solid lines). Thus, the model reveals a potential mechanism for the rapid deoxygenation observed on the Scotian Shelf: a change in the large-scale ocean circulation that shifts the balance of water masses in the region. However, the model does not reproduce the long-term decline of oxygen concentrations at the two sites where measurements are available. The constant total oxygen concentration simulated at these sites by the model reflects a compensation of the decline by a similar decrease in AOU. Thus, it would appear that the model captures the broad hydrographic change and decrease well, while simulating a process that slows oxygen utilization (thereby reducing AOU) that was not operating in nature during the historical period.
The northwest Atlantic shelf is thought to be particularly sensitive to climate variability due to its position near the crossroads of the subtropical and subpolar circulation at the nearby the Grand Banks of Newfoundland (Fig. 1), an underwater plateau that forces the Labrador Current to take a sharp right hand turn in order to continue its trajectory as a western boundary current in contact with the shelf break. An association has been previously found between water column properties at the Tail of the Grand Banks (i.e. its southeastern tip, see Fig. 1), the position of the Gulf Stream, and the strength of the Atlantic Meridional Overturning Circulation (AMOC) in observations and models 10, 23, 25, 26: warmer temperatures at the Tail of the Grand Banks correspond to a more northward Gulf Stream trajectory and a weaker AMOC. Moreover, decadal variability in the Labrador Current transport around the Tail of the Grand Banks to the Scotian Shelf 27, including to the Laurentian Channel Mouth 28, has been found to influence the properties of slope waters (i.e. water masses at depths greater than 200 m and less than 3000 m, shaded white in Fig. 1). As half of the O2 decline on the northwest Atlantic shelf has been shown to be due to a rising proportion of oxygen-poor subtropical waters 7, we hypothesize that the rapid 20th century O2 decline was due to a retreat of the Labrador Current and the increasing presence of Gulf Stream waters at the Tail of the Grand Banks.
To test for this dynamical change, we calculated the historical depths of two subsurface isopycnals at the Tail of the Grand Banks from high-quality observations in the Hydrobase data repository (Methods). Both isopycnals shoal by more than 700 m from the subtropical side of the Gulf Stream to the core of the Labrador Current (Fig. S3); thus, a reduced presence of the Labrador Current at the Tail of the Grand Banks would be expected to result in a deepening of these isopycnals over time. Indeed, the data show the isopycnal that enters the Laurentian Channel (σθ = 27.25 kg m−3) deepened at the Tail of the Grand Banks by 0.48 ± 0.2 m yr−1 between 1920 and 2010 (Fig. 3a, dots), while an even faster deepening trend occurred on the denser isopycnal (σ1 = 32.2 kg m−3) with a rate of 1.30 ± 0.36 m yr−1 over the same time period (Fig. 3b, dots). The simulated isopycnals in the same region also deepen as the model responds to the warming effect of an atmospheric CO2 increase (Fig. 3, solid lines).
Figure 3. Isopycnal depth anomalies at the Tail of the Grand Banks.
Depth anomalies of two isopycnals are plotted: (a) σθ = 27.25 kg m−3 and (b) σ1 = 32.2 kg m−3. Observations (dots) are 3-year averages from the region shown in Figure 1, calculated using springtime (April, May, June) data only, and are plotted with their standard deviation (shaded area). Also shown is a linear regression (thick red line) for each, with associated 95% confidence intervals (thin red lines). Model-simulated isopycnal depth anomalies, averaged over the same region for the warming simulation using the transformed time axis (see Figure 2 caption) are shown as solid black lines. A positive change in isopycnal depth corresponds to isopycnal deepening, interpreted as a gain of buoyant subtropical waters above the given isopycnal. See Methods for details.
The deepening of isopycnals reflects a buoyancy gain by the upper water column, due to an increase in buoyant subtropical waters relative to dense subpolar waters, consistent with the modeled change in horizontal circulation (Fig. S4). Under doubled CO2, the simulated Labrador Current weakens by as much as 8-10 Sv (1 Sv ≡ 106 m3 s−1, see Methods for definition) north of the Grand Banks, as it approaches Orphan Knoll (Fig. S4). Associated with this reduced transport, the boundary between the cyclonic subpolar circulation and anticyclonic Gulf Stream migrates north, increasing the probability that the Gulf Stream and/or its associated eddies impinge on the Tail of the Grand Banks. The shift in Gulf Stream position and the Labrador Current slowdown is associated with a weakening of the AMOC 10, 23, both of which may also be related to a weakening of the wind stress curl on the subpolar gyre simulated by the climate model (Fig. S5). An important association between the large-scale wind field and the northward excursions of the Gulf Stream is supported by recent findings that show that variability in northwest Atlantic shelf waters is correlated with interannual variability in the wind stress, with the mean position of the Gulf Stream being closely tied to the mean zero wind stress curl line 28. The consistency between the observations and the simulation strongly suggests that a climate-driven dynamical shift, toward enhanced impingement of the Gulf Stream on the Tail of the Grand Banks, is at least partly responsible for the shrinking influence of Labrador Current waters and the associated deoxygenation of the Scotian Shelf and Gulf of St. Lawrence.
Given that the simulated retreat of the Labrador Current and decrease of under warming appear to be consistent with the observed historical changes, we provide further analysis of the impacts on oxygen concentrations under continued warming as an indication of potential future trends (Figs. S1, S2; red lines). Focusing on an isopycnal surface, as the modeled Labrador Current continues to retreat, the supply of well-oxygenated waters rounding the Tail of the Grand Banks dwindles (supplemental video), and a large decrease of oxygen occurs throughout the coastal region, but with significant spatial variation (Fig. 4). The modeled concentrations decrease throughout the coastal region as the waters of a given density become warmer and saltier. This decrease is most pronounced where the isopycnal impinges on the continental shelf, and within the Laurentian Channel (Fig. 4b). The coastal decrease is amplified by increases of AOU to cause large O2 decreases along the path of the Labrador Current and around the margin of the Grand Banks. However, it is opposed by AOU decreases (Fig. 4c) in the more southern coastal regions and Laurentian Channel, mitigating the simulated O2 decrease (Fig. 4a).
Figure 4. Decomposition of the modeled oxygen decline with warming in the northwestern Atlantic.
Isopycnal maps on σθ = 27.25 kg m−3 of (a) the oxygen (O2) change and its decomposition into changes of (b) oxygen saturation and (c) apparent oxygen utilization (AOU). Differences are computed relative to the control pre-industrial experiment and averaged over the last 20 model years. Locations where time-series are shown in Fig.2 are enclosed within gray polygons. Acronyms stand for the Laurentian Channel Mouth (LCM), Cabot Strait (CS), and the central Scotian Shelf (CSS).
Further mechanistic understanding of the simulated and AOU changes are provided by a water-mass mixing model on an isopycnal surface (Supplement). This approach shows that the deoxygenation is primarily driven by a shift in ocean circulation, with additional contributions from warming and reduced ventilation of the Labrador Current end member. Taking the Laurentian Channel Mouth as a representative site, we find that the Labrador Current retreat drives about 2/3 of the simulated oxygen loss (Tables S1–S3). The remaining changes are caused by changes in the Labrador Current end member properties resulting from a decrease in due to warming, and an increase in the end member AOU as intensified near-surface stratification impedes the formation of newly-ventilated waters (Fig. S6). A long-term trend toward reduced ventilation and retreat of Labrador Current waters is consistent with paleoceanographic reconstructions showing a slowdown of the AMOC and reduced ventilation in the Labrador Sea, where the Labrador Current is formed, prior to the 20th century 21. As a result of these dynamical changes, the change is as much as −32.8 µM in the northwest Atlantic slope and the Laurentian Channel (Fig. 4b, Table S2), whereas the average decline in the upper North Atlantic (above 300 m depth) in the warming simulation is only −6.3 µM. In contrast, the simulated AOU decrease is in direct disagreement with historical records (Figs. 2, S1). This disagreement reflects a decrease in respiration rates along the pathway of circulation between the end members (Table S2), due to a reduction of simulated nutrient supply to the surface. The model inaccuracy likely arises from the relative simplicity of the biogeochemical model, which lacks many features such as anthropogenic nutrient inputs and interactions with the benthos. We therefore expect that future O2 declines in this region may be significantly larger than simulated by the model, and could feasibly exceed the reduction in saturation.
The deoxygenation observed in the northwest Atlantic shelf is already altering the regional ecosystem 16, 29 and, as shown by our results, is likely to become much more pronounced with continued global warming. These results emphasize the importance that open ocean dynamics can play in regional oxygen changes 5, explaining quasi-centennial trends of about −0.21 ± 0.03 µM yr−1 as observed between 1923 and 2017 in the Gulf of St. Lawrence (Fig. S1). This change in saturation concentration alone is more than double the total oxygen trend reported over the last 50 years in the upper layers of the North Atlantic, being −0.075 µM yr−1 averaged above 1200 m 2 and about −0.099 µM yr−1 for upper and intermediate waters 15. Yet, given the pronounced decadal variability (Fig. 2), even the strong local trends in the Scotian Shelf would be undetectable without long observational time series. Moreover, because local circulation dynamics are difficult to resolve in global models, they may harbor surprises in other coastal regions. Finally, we speculate that the decline of oxygen concentrations on the northwest Atlantic shelf is a sensitive indicator of large-scale dynamical shifts offshore, which are potentially linked with a centennial-scale slowdown of the AMOC 10 and may ultimately influence the oxygen variability of the open North Atlantic 30.
Methods
Observational data
Instrument accuracy and analyses
Hydrographic data for Cabot Strait and the Laurentian Channel Mouth has been compiled, maintained, and quality-controlled by the Bedford Institute of Oceanography (BIO). Temperature data was sampled before 1943 using reversing thermometers mounted on bottles (accuracy ±0.01°C), after 1943 using mechanical bathythermographs (accuracy ±0.1°C), and from 1969 onward a variety of Conductivity-Temperature-Depth (CTD) models have been used with accuracy of ±0.01°C or better 7. Salinity data before 1969 was sampled from bottles (accuracy ±0.05) and after 1969 using CTDs (accuracy of ±0.01 or higher) 7. Oxygen data has been developed, maintained, and quality-controlled by Fisheries Ocean Canada (DFO). This oxygen data was measured using Winkler tritations with an accuracy of ±0.3-5 µM 7. Time series are constructed by spatially averaging data interpolated on isopycnal σθ = 27.25 kg m−3 over areas delimited by four coordinate pairs (Fig. 1). For Cabot Strait those are (60.74°W, 47.26°N), (59.43°W, 48.03°N), (58.70°W, 47.50°N), and (60.22°W, 46.52°N); while for the Laurentian Channel Mouth they are (57.83°W, 45.20°N), (57.24°W, 44.42°N), (55.86°W, 44.88°N); and (56.46°W, 45.67°N).
At the central Scotian Shelf, hydrographic data has been quality-controlled by DFO. Before late 1960s, temperature and salinity data was sampled using bottles with typical accuracies of ±0.01°C and ±0.01-0.03‰ 31, respectively. In the mid to late 1960s, hydrographic measurements were made with a early CTD that had an accuracy of ±0.01°C for temperature and ±0.01 for salinity; which improved to ±0.001°C for temperature and ±0.003 for salinity with the introduction of modern CTDs in the late 1980s (Brian Petrie, pers. comm. 2018). Oxygen data has been compiled and quality-controlled by Catherine E. Brennan. Oxygen data between 1961 and 1999 was measured using Winkler tritation (standard accuracy for this method performed on ships using bottle samples is ±0.9-1.8 µM 31) and between January 2012 and December 2014 using Aanderaa optodes mounted on benthic pods (accuracy of ±8 µM with two-point calibration; Catherine E. Brennan, pers. comm. 2018). Hydrographic time series correspond to data averaged over a box that extends zonally from 62°W to 64°W, meridionally from 43°N to 45°N, and vertically from 145 m to 155 m. The oxygen time series between 1961 and 1999 at 150 m depth is based on reported oxygen anomaly time series 6 plus a mean value of 179.7 µM computed from a subset of the original dataset 16 as the complete dataset is unavailable. For the period from November 2012 to April 2014, oxygen data in this region is interpolated at 150 m from high-resolution observations of two benthic pods 16, one at 133 m depth (63.10°W, 44.09°N) and the other one at 160 m (63.19°W, 43.91°N).
Historical time series of the depth of two isopycnals at the Tail of the Grand Banks (TGB) are computed using data extracted from HydroBase3, which is a global database of observed profiles that is quality-controlled, compiled, and made available by the Woods Hole Oceanographic Institution (WHOI). The data was extracted for the time period between 1920 and 2012, and the region that extends zonally from 53°W to 47.5°W and meridionally from 41.5°N to 44°N (see Fig. 1). Only data flagged as good measurement are considered. The resulting subdata comprises vertical profiles from bottles (86%), CTD casts (9%), and Argo floats (5%). Historical hydrographic data was sampled using bottles until the 1980s with an accuracy of ±0.01-0.02°C for temperature and ±0.01-0.03‰ for salinity as reported for measurements carried at WHOI 31. CTDs were introduced in the late 1960s mounted on rosettes and have typical temperature and salinity accuracies of ±0.001°C and ±0.003, respectively. Finally, the Argo float program started in the early 2000s and CTD mounted on these floats are less accurate than those used on ships, with accuracies of ±0.002°C for temperature and ±0.01 for salinity, as they are not routinely calibrated (http://www.argo.ucsd.edu/Data_FAQ.html#accurate). Observational analyses at the TGB are limited to springtime observations because spring months (April, May and June) are the best sampled, containing 61% of all data, and because observations are sparse in other months, particularly before 1950. By limiting our analysis to a single well-sampled season, we avoid aliasing seasonal variability in our multidecadal time series. First, time series of isopycnal depths are obtained by cubic interpolation of a specific density using hydrographic vertical profiles. Second, we construct a spatially-varying springtime isopycnal depth by averaging over all observations in 0.5° x 0.5° sub-domains of the TGB region. Third, we calculate isopycnal depth anomalies by subtracting the appropriate climatological mean from every observation within these subdomains. These anomalies are then averaged in overlapping 3-year windows to arrive at the black dots in Figure 3a and 3b. This procedure for calculating anomalies helps minimize the possibility for mistakenly interpreting variability in the location in which the observations were collected in the larger box as a change in properties at the TGB. Finally, a linear least squares regression is performed to find the temporal trend over the time series of anomalies. The resulting observational time series are compared with climate model output by computing isopycnal depth differences between warming and pre-industrial control scenarios averaged over the TGB and over each model year.
For all the analyses, density is derived from hydrographic data using the equation of state EOS-80 32 because it is available in the software (NOAA/PMEL Ferret) that is amenable to analysis of large model output. Although EOS-80 has been superseded by the International Thermodynamic Equation Of Seawater-2010 (TEOS-10), the two algorithms return near identical density values in our region of interest. We have quantified these differences in terms of isopycnal depth anomaly time series. The root mean square difference between time series using TEOS-10 and EOS-80 is 1.9 m for σθ = 27.25 kg m−3 and 2.8 m for σ1 = 32.3 kg m−3, that is, much smaller than the standard error (shaded areas in Fig.3). Additionally, differences in isopycnal deepening trends between 1920 and 2010 are about 0.01 m, which is also much smaller than 95% confidence intervals, which are ±0.2 m for σθ = 27.25 kg m−3 and ±0.35 m for σ1 = 32.3 kg m−3.
Climate model
The GFDL climate model CM2.6 is a high-resolution coupled atmosphere-ocean-ice global model that includes a reduced-complexity ocean biogeochemical model 9. The ocean component (MOM5) has a spatial resolution of 1/10°, and 50 vertical levels, and the biogeochemical model (miniBLING 33) consists of three prognostic tracers, dissolved inorganic carbon, phosphate, and oxygen. Human-induced biogeochemical inputs, such as nutrient loading, are not implemented.
The fully coupled model was spun-up for 72 years with atmospheric CO2 fixed at a pre-industrial concentration (286 ppm). After the spin-up phase, two different scenarios were integrated for an additional period of 80 years: a pre-industrial control scenario in which atmospheric CO2 is held constant, and a warming scenario in which CO2 is increased at an annual rate of 1% until doubled. After doubling, which occurs at model year 70, atmospheric CO2 was held constant for 10 additional years. We analyzed the full 80 year period of both simulations. Numerical time series for any given property χ are constructed as χ(t) = χ(t = 0) + Δχ(t), where χ(t = 0) is the value at the pre-industrial initial time (year 1860), and Δχ is the difference between the warming case and the same model year of the pre-industrial control case. In this way, the influence of any model drift is minimized.
Modeled and observational time dimensions are related through atmospheric CO2. The climate model is forced by a rapid increase in CO2 that resembles the RCP6 scenario, following where t* ∈ [0, 80] is the model time. Historical and projected future CO2 time series are approximated by a quadratic polynomial of the form being The modeled time dimension is therefore transformed by a factor r that fulfills (Fig. S7). Our intention is to put the modeled time series on a time axis that roughly corresponds to the historical CO2 trajectory. We acknowledge that transforming the time axis in order to relate the idealized model following a convention of 1% per year increase in atmospheric CO2 to the historical period when atmospheric CO2 was increasing at a slower rate, does not account for other forced changes due to atmospheric aerosols, non-CO2 greenhouse gases, and ozone.
Most model analyses are performed on isopycnal surfaces, rather than at fixed depths, to avoid conflating shifts in water mass characteristics with the heaving of isopycnals. We focus on σθ = 27.25 kg m−3, because its simulated depth is close to the observed depth range within the Laurentian Channel (Fig. S8) and it remains isolated from the surface throughout the region, hence avoiding influence from local air-sea exchange. For the Scotian Shelf, analyses are performed on the 150 m horizontal level, where most measurements are available.
Quasi-streamfunction and wind stress curl
The quasi-streamfunction Ψ is defined so that FX ≡ −∂Ψ/∂y and FY ≡ ∂Ψ/∂x, where the zonal flow is while the meridional is being (u, v) the horizontal velocity components. These flows are depth-integrated over the upper 1000 m since our interest lies in the upper ocean circulation. Hence the net vertical transport is nonzero, or in other words, the lateral flow is not fully divergence-free, and therefore we called it quasi-streamfunction. Flows are computed on-line in the model, saved every five days, and we solve for Ψ by cross-differentiation of FX and FY definitions. Finally, we average Ψ over the last 20 model years. This definition of Ψ has units of volume Sverdrup (1 Sv ≡ 106 m3 s−1).
The curl of the wind stress vector is approximated using finite differences as In order to unveil the large-scale pattern over the North Atlantic we take Δx = Δy = 2° since grid spacings smaller than this threshold obscure the basin scale distribution.
Data availability
Hydrographic data at Cabot Strait, the Laurentian Channel Mouth, and the central Scotian Shelf come from the CLIMATE database (http://www.bio-iob.gc.ca/science/data-donnees/base/data-donnees/climate-climat-en.php). Oxygen data at Cabot Strait is available from the BioChem database (http://www.dfo-mpo.gc.ca/science/data-donnees/biochem/index-eng.html) and at the central Scotian Shelf is upon request from Catherine E. Brennan (cebrennan.climate@gmail.com). Historical data at the Tail of the Grand Banks has been extracted from the public global database HydroBase3 website (http://www.whoi.edu/science/PO/hydrobase/php/index.php). The CM2.6-miniBLING model output is available upon request from J.P.D (john.dunne@noaa.gov). Bathymetric data comes from the 2-minute Gridded Global Relief Data (ETOPO2) v2, which is publicly available (https://www.ngdc.noaa.gov/mgg/global/etopO2.html).
Supplementary Material
Acknowledgements
The authors thank Andrew Cogswell & Roger Pettipas from Fisheries and Oceans Canada for providing hydrographic data in the Central Scotian Shelf, and Catherine E. Brennan for providing the data for the oxygen time series in the Central Scotian Shelf. The authors also acknowledge many scientist at NOAA GFDL that configured and ran the climate model, without whose efforts this work would not have been possible. This project has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement No 682602). EDG acknowledges financial support from the Spanish Ministry of Economy and Competitiveness, through the Mara de Maeztu Programme for Centres/Units of Excellence (MDM-2015-0552). The Canadian Foundation for Innovation provided the computing resources for model analysis. DB acknowledges support from NOAA grant NA15NOS4780186.
Footnotes
Author contributions E.D.G., J.B.P., and D.B. conceived the study. M.C., D.G., and K.F. assembled and analyzed observational data. M.C. and D.B performed model output analyses. J.P.D. participated in the design of the CM2.6-miniBLING experiments. M.C, E.D.G, J.B.P., and D.B. wrote a first draft of the manuscript. All authors discussed the results and provided input to the manuscript.
Competing Interests The authors declare no competing financial interests.
References
- 1.Helm KP, Bindoff NL, Church JA. Observed decreases in oxygen content of the global ocean. Geophysical Research Letters. 2011;38(23) [Google Scholar]
- 2.Schmidtko S, Stramma L, Visbeck M. Decline in global oceanic oxygen content during the past five decades. Nature. 2017;542:335–339. doi: 10.1038/nature21399. [DOI] [PubMed] [Google Scholar]
- 3.Ito T, Minobe S, Long MC, Deutsch C. Upper ocean O2 trends: 1958–2015. Geophysical Research Letters. 2017;44(9):4214–4223. [Google Scholar]
- 4.Breitburg D, et al. Declining oxygen in the global ocean and coastal waters. Science. 2018;359(6371) doi: 10.1126/science.aam7240. [DOI] [PubMed] [Google Scholar]
- 5.Levin LA. Manifestation, drivers, and emergence of open ocean deoxygenation. Annual Review of Marine Science. 2018;10(1):229–260. doi: 10.1146/annurev-marine-121916-063359. [DOI] [PubMed] [Google Scholar]
- 6.Petrie B, Yeats P. Annual and interannual variability of nutrients and their estimated fluxes in the Scotian Shelf - Gulf of Maine region. Canadian Journal of Fisheries and Aquatic Sciences. 2000;57(12):2536–2546. [Google Scholar]
- 7.Gilbert D, Sundby B, Gobeil C, Mucci A, Tremblay G-H. A seventy-two-year record of diminishing deep-water oxygen in the St. Lawrence estuary: The northwest Atlantic connection. Limnology and Oceanography. 2005;50(5):1654–1666. [Google Scholar]
- 8.Gilbert D, Rabalais NN, Díaz RJ, Zhang J. Evidence for greater oxygen decline rates in the coastal ocean than in the open ocean. Biogeosciences. 2010;7(7):2283–2296. [Google Scholar]
- 9.Dufour CO, et al. Role of mesoscale eddies in cross-frontal transport of heat and biogeochemical tracers in the Southern Ocean. Journal of Physical Oceanography. 2015;45(12):3057–3081. [Google Scholar]
- 10.Caesar L, Rahmstorf S, Robinson A, Feulner G, Saba V. Observed fingerprint of a weakening Atlantic Ocean overturning circulation. Nature. 2018;556:191–196. doi: 10.1038/s41586-018-0006-5. [DOI] [PubMed] [Google Scholar]
- 11.Keeling RF, Körtzinger A, Gruber N. Ocean deoxygenation in a warming world. Annual Review of Marine Science. 2010;2(1):199–229. doi: 10.1146/annurev.marine.010908.163855. [DOI] [PubMed] [Google Scholar]
- 12.Long MC, Deutsch C, Ito T. Finding forced trends in oceanic oxygen. Global Biogeochemical Cycles. 2016;30(2):381–397. [Google Scholar]
- 13.Johnson GC, Gruber N. Decadal water mass variations along 20°W in the Northeastern Atlantic Ocean. Progress in Oceanography. 2007;73(3):277–295. [Google Scholar]
- 14.Frölicher TL, Joos F, Plattner G-K, Steinacher M, Doney SC. Natural variability and anthropogenic trends in oceanic oxygen in a coupled carbon cycle-climate model ensemble. Global Biogeochemical Cycles. 2009;23(1) [Google Scholar]
- 15.Stendardo I, Gruber N. Oxygen trends over five decades in the North Atlantic. Journal of Geophysical Research: Oceans. 2012;117(C11) [Google Scholar]
- 16.Brennan CE, Blanchard H, Fennel K. Putting temperature and oxygen thresholds of marine animals in context of environmental change: A regional perspective for the Scotian Shelf and Gulf of St. Lawrence. PLOS ONE. 2016;11(12):1–27. doi: 10.1371/journal.pone.0167411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Thibodeau B, de Vernal A, Hillaire-Marcel C, Mucci A. Twentieth century warming in deep waters of the Gulf of St. Lawrence: A unique feature of the last millennium. Geophysical Research Letters. 2010;37:L17604. [Google Scholar]
- 18.Genovesi L, et al. Recent changes in bottom water oxygenation and temperature in the Gulf of St. Lawrence: Micropaleontological and geochemical evidence. Limnology and Oceanography. 2011;56(4):1319–1329. [Google Scholar]
- 19.Keigwin L, Sachs J, Rosenthal Y. A 1600-year history of the Labrador Current off Nova Scotia. Climate Dynamics. 2003;12:53–62. [Google Scholar]
- 20.Sherwood OA, Lehmann MF, Schubert CJ, Scott DB, McCarthy MD. Nutrient regime shift in the western North Atlantic indicated by compound-specific δ15N of deep-sea gorgonian corals. Proceedings of the National Academy of Sciences of the United States of America. 2011;108(3):1011–1015. doi: 10.1073/pnas.1004904108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Thornalley DJR, et al. Anomalously weak Labrador Sea convection and Atlantic overturning during the past 150 years. Nature. 2018;556:227–230. doi: 10.1038/s41586-018-0007-4. [DOI] [PubMed] [Google Scholar]
- 22.Loder JW, van der Baaren A, Yashayaev I. Climate comparisons and change projections for the Northwest Atlantic from six CMIP5 models. Atmosphere-Ocean. 2015;53(5):529–555. [Google Scholar]
- 23.Saba VS, et al. Enhanced warming of the Northwest Atlantic Ocean under climate change. Journal of Geophysical Research: Oceans. 2016;121(1):118–132. [Google Scholar]
- 24.Lavoie D, Lambert N, Gilbert D. Projections of future trends in biogeochemical conditions in the northwest Atlantic using CMIP5 Earth system models. Atmosphere-Ocean. 2017;0:1–23. [Google Scholar]
- 25.Joyce TM, Zhang R. On the path of the Gulf Stream and the Atlantic Meridional Over-turning Circulation. Journal of Climate. 2010;23(11):3146–3154. [Google Scholar]
- 26.Buckley MW, Marshall J. Observations, inferences, and mechanisms of the Atlantic Meridional Overturning Circulation: A review. Reviews of Geophysics. 2016;54(1):5–63. [Google Scholar]
- 27.Petrie B, Drinkwater K. Temperature and salinity variability on the Scotian Shelf and in the Gulf of Maine 1945-1990. Journal of Geophysical Research: Oceans. 1993;98(C11):20079–20089. [Google Scholar]
- 28.Peterson I, Greenan B, Gilbert D, Hebert D. Variability and wind forcing of ocean temperature and thermal fronts in the Slope Water region of the Northwest Atlantic. Journal of Geophysical Research: Oceans. 2017;122(9):7325–7343. [Google Scholar]
- 29.Bianucci L, Fennel K, Chabot D, Shackell N, Lavoie D. Ocean biogeochemical models as management tools: a case study for Atlantic wolffish and declining oxygen. ICES Journal of Marine Science. 2016;73(2):263–274. [Google Scholar]
- 30.Tagklis F, Bracco A, Ito T. Physically driven patchy O2 changes in the North Atlantic Ocean simulated by the CMIP5 Earth system models. Global Biogeochemical Cycles. 2017;31:1218–1235. [Google Scholar]
- 31.Warren BA. Nansen-bottle stations at the Woods Hole Oceanographic Institution. Deep-Sea Research Part I. 2008;55(4):379–395. [Google Scholar]
- 32.Millero FJ, Chen C-T, Bradshaw A, Schleicher K. A new high pressure equation of state for seawater. Deep Sea Research Part A. 1980;27(3):255–264. [Google Scholar]
- 33.Galbraith ED, et al. Complex functionality with minimal computation: Promise and pit-falls of reduced-tracer ocean biogeochemistry models. Journal of Advances in Modeling Earth Systems. 2015;7(4):2012–2028. [Google Scholar]
- 34.Gatien MG. A study in the slope water region south of Halifax. Journal of the Fisheries Research Board of Canada. 1976;33:2213–2217. [Google Scholar]
- 35.Bisagni JJ, Gangopadhyay A, Sanchez-Franks A. Secular change and inter-annual variability of the Gulf Stream position, 1993-2013, 70°-55°W. Deep Sea Research Part I. 2017;125(C):1–10. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Hydrographic data at Cabot Strait, the Laurentian Channel Mouth, and the central Scotian Shelf come from the CLIMATE database (http://www.bio-iob.gc.ca/science/data-donnees/base/data-donnees/climate-climat-en.php). Oxygen data at Cabot Strait is available from the BioChem database (http://www.dfo-mpo.gc.ca/science/data-donnees/biochem/index-eng.html) and at the central Scotian Shelf is upon request from Catherine E. Brennan (cebrennan.climate@gmail.com). Historical data at the Tail of the Grand Banks has been extracted from the public global database HydroBase3 website (http://www.whoi.edu/science/PO/hydrobase/php/index.php). The CM2.6-miniBLING model output is available upon request from J.P.D (john.dunne@noaa.gov). Bathymetric data comes from the 2-minute Gridded Global Relief Data (ETOPO2) v2, which is publicly available (https://www.ngdc.noaa.gov/mgg/global/etopO2.html).