the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Seasonality and response of ocean acidification and hypoxia to major environmental anomalies in the southern Salish Sea, North America (2014–2018)
Jan A. Newton
Richard A. Feely
Samantha A. Siedlecki
Dana J. Greeley
Abstract. Coastal and estuarine ecosystems fringing the North Pacific Ocean are particularly vulnerable to ocean acidification, hypoxia, and intense marine heatwaves as a result of interactions among natural and anthropogenic processes. Here we characterize variability during a seasonally resolved cruise time series in the southern Salish Sea (Puget Sound, Strait of Juan de Fuca) and nearby coastal waters for select physical (temperature, T; salinity, S) and biogeochemical (oxygen, O2; carbon dioxide fugacity, fCO2; aragonite saturation state, Ωarag) parameters. Medians for some parameters peaked (T, Ωarag) in surface waters in summer, while others (S, O2, fCO2) changed progressively across spring–fall, and all parameters changed monotonically or were relatively stable at depth. Ranges varied considerably for all parameters across basins within the study region, with stratified basins consistently the most variable. Strong environmental anomalies occurred during the time series, allowing us to also qualitatively assess how these anomalies affected seasonal patterns and interannual variability. The peak temperature anomaly associated with the 2013–2016 northeast Pacific marine heatwave–El Niño event was observed in boundary waters during the October 2014 cruise, but Puget Sound cruises revealed the largest temperature increases during 2015–2016 timeframe. The most extreme hypoxia and acidification measurements to date were recorded in Hood Canal (which consistently has the most extreme conditions) during the same period; however, they were shifted earlier in the year relative to previous events. During autumn 2017, after the heat anomaly, a distinct carbonate system anomaly with unprecedentedly low Ωarag and high fCO2 occurred in parts of the southern Salish Sea that are not normally so acidified. This novel “CO2 storm” appears to have been driven by anomalous river discharge earlier in 2017, which resulted in enhanced stratification and inferred primary productivity anomalies, indicated by persistently and anomalously high O2, low fCO2, and high chlorophyll. Unusually, this CO2 anomaly was decoupled from O2 dynamics compared to past Salish Sea hypoxia and acidification events. The complex interplay of weather, hydrological, and circulation anomalies revealed distinct multiple stressor scenarios that will potentially affect regional ecosystems under a changing climate. Further, the frequencies at which Salish cruise observations crossed known or preliminary species sensitivity thresholds illustrates the relative risk landscape of temperature, hypoxia, and acidification anomalies in the southern Salish Sea in the present-day, with implications for how multiple stressors may combine to present potential migration, survival, or physiological challenges to key regional species in the future. The Salish cruise data product used in this publication is available at https://doi.org/10.25921/zgk5-ep63 (Alin et al., 2022), with an additional data product including all calculated CO2 system parameters available at https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0283266.html (Alin et al., 2023b).
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Simone R. Alin et al.
Status: open (until 13 Dec 2023)
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RC1: 'Comment on bg-2023-181', Anonymous Referee #1, 25 Nov 2023
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General comments:
Coastal ecosystems in the North Pacific Ocean, specifically the southern Salish Sea, face heightened vulnerability to ocean acidification, hypoxia, and marine heatwaves due to natural and human-induced factors. A detailed analysis of a seasonal cruise time series in this region reveals varying patterns in physical and biogeochemical parameters, with some peaking in summer surface waters while others change progressively from spring to fall. Unusual environmental anomalies, including a significant temperature anomaly in 2014 and a unique "CO2 storm" in 2017, driven by anomalous river discharge, highlight the complex interplay of multiple stressors with potential implications for regional ecosystems and key species in the future. The document is well written, but some clarifications are needed to improve readers' understanding:
- Section 3: the methodology is weak, and more detail is needed on the methods used to correct the data set, while the assessment of uncertainties for the variables is not indicated and is clearly lacking. This is particularly the case for salinity and O2 concentrations, which are sensitive to the effects of biofouling.
- Section 5.2.3 Provide a brief explanation or context for the term "CO2 storm" to help readers understand its significance and how it differs from typical conditions. This would improve accessibility for a broader audience.
In this section, the authors do not discuss the evolution of CO2 sinks and sources driven by the temperature change, biomass production and atmospheric forcing. According to the evolution described above, what would be the impact on CO2 fluxes in terms of sources/sinks in these coastal waters?- The conclusion is too brief. How to optmize the observations to better observe and understand the evolution of the coastal marine ecosystems in the North Pacific towards acidification and O2 decrease ? What will be the next challenges ? Which data or tools will be important to include for the next study (eg. better obs. space/time frequencies ? etc...). Consider adding a sentence or two in the conclusion to summarize the key implications or recommendations based on the findings. This would provide a more comprehensive and conclusive end to the abstract.
Minor comments:- Line 83: explain what do you mean by the "time of emergence"
- Figure 1: there is an error of typology
- Figures 3 and 4: The raincloud plots are not easy to read. The Fig S4 to S6 are more useful. The authors should explain more the signification the raincloud plots in the text or in the legend. A map with stations acronyms like in Fig S5 would be very useful to understand the trends. Authors should insert a map in the Figures 3 to 4. In these figures MB and SS could be combined as it is shown in Fig. S5 to clarify the figure
- Oct 2017 is a very particular month but not shown in Fig. S5 to S8, why ?
- The place of figure 5 is bizarre and only discussed in section 4.3
- Line 828: what are the numerical models discussed here ?Citation: https://doi.org/10.5194/bg-2023-181-RC1 -
RC2: 'Comment on bg-2023-181', Anonymous Referee #2, 04 Dec 2023
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Review of "Seasonality and response of ocean acidification and hypoxia to major environmental anomalies in the southern Salish Sea, North America (2014–2018)" By Alin et al.
General comments
The research presented in this paper holds significance due to the influence of variations in biogeochemical parameters, such as dissolved oxygen, fCO2, pH, and carbonate minerals' saturation, on the ecosystems' well-being amid the looming challenges of climate change. It establishes connections between environmental and biogeochemical anomalies. The study focuses on the southern Salish Sea, where intricate interactions between anomalies in physical ocean conditions, river input, and local weather significantly influence the severity and duration of ocean acidification and hypoxia in local hotspots in this complex region. The Salish cruise time series data effectively demonstrates how the progression of significant environmental anomalies and their ecological repercussions rely on the specific biogeochemical metrics, the species under consideration and the baseline conditions of the basins in which they unfold.
Considering the comments already sent by Anonymous Referee #1, here are my specific comments:
Major comments
The flow of information in the 2.1 Geographic setting section is challenging to follow; I recommend following a structure similar to that of the article by Alin et al., 2023a, cited in the references section.
Minor comments
Line 25: I would also include the utilized study period of the time series in the abstract.
Line 115: Refer to the Figure 1.
Line 117: For a better understanding, it would be advisable to refer here to Figure 1 or indicate the location of the Fraser River, as shown later in Line 126.
Line 121: The abbreviature PS appears before it is explained in Line 122.
Line 125: You could add the abbreviation of the different Puget Sound basins here instead of that in Line 131 (MB), MB repeated in 133 and the remaining in 134.
Figure 1: I recommend including a legend with the abbreviation of the different transects and the associated data point types for a more straightforward interpretation.
Line 210: Although it is assumed that the description of the variables analysis methodology, like DIC and TA, is included in the references related to the database, it would be helpful for the reader to add a sentence here indicating the references where they are found again.
Citation: https://doi.org/10.5194/bg-2023-181-RC2
Simone R. Alin et al.
Data sets
A compiled data product of profile, discrete biogeochemical measurements from 35 individual cruise data sets collected from a variety of ships in the southern Salish Sea and northern California Current System (Washington state marine waters) from 2008-02-04 to 2018-10-19 (NCEI Accession 0238424) Simone R. Alin, Jan Newton, Dana Greeley, Beth Curry, Julian Herndon, Alex Kozyr, and Richard A. Feely https://doi.org/10.25921/zgk5-ep63
A multi-stressor data product for marine heatwave, hypoxia, and ocean acidification research, including calculated inorganic carbon parameters from the southern Salish Sea and northern California Current System from 2008-02-04 to 2018-10-19 (NCEI Accession 0283266) Simone R. Alin, Jan Newton, Richard A. Feely, Dana Greeley, Julian Herndon, and Alex Kozyr https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0283266.html
Simone R. Alin et al.
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