Abstract
Ocean pH is decreasing due to anthropogenic activities, and the consequences of this acidification on marine fauna and ecosystems are the subject of an increasing number of studies. Yet, the impact of ocean acidification (OA) on several abundant and ecologically important taxa, such as medusozoans, is poorly documented. To date there have been no studies on the effect of post-2050 OA projections on the medusa stage of jellyfish. As medusae represent the reproductive stage of cnidarians, negative impacts on adult jellyfish could severely impact the long-term survival of this group. Using a laboratory experiment, we investigated the effect of 2300 OA projections (i.e. pH of 7.5) on the mortality rate of the medusa-stage of the cubozoan species Carybdea xaymacana, compared to ambient seawater pH conditions (i.e. pH of 8.1). After a 12-h exposure to OA, C. xaymacana medusae suffered higher mortality rates compared to ambient conditions. This study represents the first evidence of the potential lethal effects of post-2050 OA projections on jellyfish. The higher metabolic rates of cubozoans compared to other cnidarians might make box jellyfish more vulnerable to OA. A decrease in the density of cnidarians could lead to harmful ecological events, such as algal blooms.
Similar content being viewed by others
Introduction
By 2300, surface ocean pH levels are predicted to decrease by 0.67 units compared to pre-industrial levels1. These altered pH conditions (known as ocean acidification; OA) are a result of increasing anthropogenic carbon dioxide emissions2. It is well established that OA has detrimental effects on biological processes in several marine organisms, particularly calcification of invertebrates3. Other potential harmful effects of OA include acidosis4, a process that can lead to reduced metabolic rates5.
Jellyfish populations seem to have grown recently (but see Condon et al.6) and have the potential to dominate surface water biomass7 (i.e. jelly blooms). The increasing biomass of jellyfishes, sometimes followed by waves of high mortality, is suspected to influence the ocean biological pump8. Indeed, these high-mortality events allow for more carbon to be sequestered into the ocean floor, and thus increase the capacity of oceans to act as CO2 sinks. The ocean biological pump is a key mechanism transferring nutrients from surface to deep-ocean ecosystems9, thus connecting ocean food webs over large scales. However, we know little about the biology of many regionally dominant jellyfish species10. Moreover, though specific-mechanisms causing jellyfish blooms are uncertain7,11, climate-driven environmental changes likely play an important role. Understanding the effects of climate-driven stressors on jellyfish is essential to determining their role within changing ocean ecosystems10,12 (e.g. changes in contribution to climate change mitigation through increase or decrease in population size).
Research on the effects of changes in pH on jellyfish species remains limited (Table 1). Within possible long-term OA projection scenarios (i.e. using alkaline pH treatments), these few studies found positive and negative non-lethal effects of pH on jellyfishes, depending on life stages and species, and have led to the general perception that jellyfish are relatively resilient to OA13. Thus far, only a pH below 4.5 (far more acidic than OA projections) led to mortality in polyps of the moon jellyfish Aurelia aurita14. Only one study investigated the reproductive life stage of jellyfish (i.e. medusa)13 in response to short-term (2050) OA projections, and no study has investigated the effects of longer-term OA scenarios on medusae despite their importance for the maintenance of genetic diversity within populations. More empirical evidence is necessary to determine the overall resilience of jellyfishes to OA using more species and understudied life-stages.
Carybdea xaymacana Conant, 1897 is an abundant cubozoan found in most coastal waters in the tropics and subtropics15. C. xaymacana is a small box jellyfish (i.e. bell height <3 cm) with four arms each connecting a tentacle to the box-shaped bell that is characteristic to cubozoans16,17,18. With tentacles expanding up to 20 cm, it feeds on zooplankton and small pelagic organisms18. C. xaymacana inhabits calm bays, including our study site in the Caribbean Sea (Bahía de Almirante, Panama). To our knowledge, C. xaymacana has not been the focus of experimental manipulations other than basic taxonomic descriptions18, and some studies investigating the venomousness for which cubozoans are infamous19,20. The Cubozoa class (Cnidaria) encompasses approximately 50 known species21, whereas the Scyphozoa class (Cnidaria) includes more than 200 described species22. This difference, along with the fact that scyphozoans are usually the cause of jelly blooms7, might explain the lower representation of cubozoans compared to scyphozoans in the OA literature (i.e. 3 species; Table 1). The effects of OA on box-jellyfishes has only been investigated in three other species (Alatina nr mordens23, Alatina alata24, and Carybdea rastoni)13 down to a pH of minimum 7.5524, which does not encompass 2300 OA projections (i.e. 7.51).
In the present study, we address these knowledge gaps by investigating long-term OA scenario (pH = 7.5 in 23001) effects on the medusa life stage of C. xaymacana. We exposed groups of individuals in the laboratory to either ambient (pH = 8.1) or reduced pH (pH = 7.5) seawater. We predicted that jellyfish would survive our lower experimental pH treatment given the reported resilience of jellyfish to OA (Table 1). Given the physiological differences between scyphozoan and cubozoan medusae (e.g. higher metabolic rates in box jellyfishes compared to true jellyfishes)25, studies investigating the effects of post-2050 OA projections on adult cubozoans are needed to improve predictions regarding the fate of cnidarians in changing oceans.
Results
Treatment conditions
As expected, optical dissolved oxygen (ODO) and salinity were similar between treatments. We were able to maintain treatment conditions throughout the duration of the experiment (Table 2). Indeed, ODO and salinity were 5.93–6.10 mg l−1, and 35 psu for the control; 5.88–6.12 mg l−1, and 36 psu for the reduced pH treatment respectively. These values were comparable to the sampling site (7.42 mg l−1, 36 psu for ODO and salinity respectively). The average of the two measurements of pHT and AT in the reduced pH treatment were 7.52 and 2282 µmol kg−1 of seawater respectively. The differences between the two measurements for both pHT and AT were small (<1% difference between measurements on average). The single measurement of the control treatment between the two trial blocks had a pHT of 8.10, comparable to the seawater pHT measured at the sampling site a few minutes before (8.07 pHT). Finally, pCO2 of the control treatment was 511 µatm.
Mortality rates
We observed mortality at a rate of 35% (±19% s.e.m.) in the reduced pH treatment after 12 h and no mortality in the control treatment. These mortality rates were significantly greater in the reduced pH treatment than in the control (regression coefficient: 3.79, [95% confidence interval: 0.89, 6.69], z score: 2.57, P = 0.010). In addition, compared to the control, most living individuals in the reduced pH treatment displayed signs of poor health, such as general lethargy, loss of tentacles, everted bells, and ineffective bell movement. We also observed retractions of tentacles inside the bell in some individuals in the reduced pH treatment, without apparent prey capture. In contrasts, C. xaymacana individuals from the control treatment were freely swimming at the end of trials.
Discussion
Our results show increased in mortality of C. xaymacana under 2300 ocean acidification projections (i.e. pH of 7.51). This study represents the first evidence of lethal effects of future OA conditions on a jellyfish species (Table 1). To our knowledge, no known medusa stage or cubozoan species of any life stage has been experimentally exposed to a pH of 7.5 or lower before. As the effect of OA seems to be taxon-specific26, cubozoans might be more sensitive to OA than other studied jellyfish species. A severe increase in mortality of jellyfish reproductive stage could impair their potential to adapt to climate change by reducing the genetic diversity of their populations27. Other marine invertebrates have shown similar sensitivity to changes in ocean pH, the most vulnerable ones being squids28. Their high metabolic rates, among other factors, make squids more vulnerable to OA than other invertebrates.
A decrease in water pH has been shown to create acidosis in some organisms, potentially causing a reduction in metabolic rates5. Such reduction can lead to the shutdown of non-vital but energetically costly metabolic processes4. For example, the swimming abilities of the ephyrae of Aurelia sps. are totally inhibited at a pH of 6.3729. In nature, this inaptitude would likely result in an increase in susceptibility to predation and starvation. Given the unhealthy state in which most of the remaining living individuals were found in the reduced pH treatment after the experiment (e.g. tentacle retraction, which is a characteristic distress behaviour in sea anemones30, another cnidarian), it appears that vital functions of medusae were also affected by a reduction in pH. Similar to squids, the high metabolic activity of cubozoans relative to other jellyfish species (e.g. scyphozoans)25,31 may heighten box jellyfish sensitivity to changes in their environment (e.g. pH)28,29. This hypothesis is supported by the rarity of C. xaymacana inside mangrove ecosystems in Bahía de Almirante despite the presence of appropriate prey32. Indeed, mangrove pools in the region seem to undergo diurnal shifts in water pH conditions, dropping as low as 6.77 pH during the night32. In comparison, pH at our sampling site was higher than in the mangrove pools32. Although cubozoans might be more vulnerable to laboratory conditions than other jellyfish species (Jimena Garcia-Rodriguez personal communication), they have been cultivated successfully in the laboratory over periods of days13 to generations23,24 within the context of OA experiments.
Independent of the proximate causes behind the observed increase in mortality of C. xaymacana under OA, our study suggests that negative effects of OA in the future lead to high mortality in jellyfish and a decrease in the number of individuals/populations of this species, especially in the medusa stage. The adult life stage of jellyfish (i.e. medusa) is responsible for maintaining genetic diversity among and within populations through sexual reproduction and high mobility33. A strong decrease in the population size of jellyfishes, especially of their reproductive stage, would reduce genotypic variation34, which might limit their adaptability and resilience in the face of environmental changes35. As C. xaymacana is abundant in various parts of the world and is a generalist predator of zooplankton18, a decrease in the abundance of C. xaymacana could have important indirect impacts on marine ecosystems. An increase in the mortality of this species would decrease predation pressures on zooplankton communities. Due to the high abundance of zooplankton in the ocean, even slight decreases in their mortality can destabilize whole ecosystems36. For example, an increase in mesoplankton (e.g. due a decrease in the number of medusae) would lead to a top-down effect on lower-level plankton communities37. An increase in phytoplankton biomass could increase the occurrence of algal blooms38 that can harm ecosystems due to their toxicity. Other cross-ecosystem effects of an increase in jellyfish mortality could involve the ocean biological pump8, and affect deep-sea ecosystems without cubozoans.
Our study provides evidence for potential lethal effects of OA on the medusa stage of cubozoans. This finding questions the prevailing theory that jellyfish are resilient to climate change, and provides evidence that some members of this group suffer mortality. Future research should replicate similar experiments with other species at the medusa stage under various pH conditions to see if these findings are generalizable. In addition, we recommend the investigation of the proximate causes of the mortality in C. xaymacana under OA (e.g. chemical component analysis of tissue), along with the impact of jellyfish on ocean ecosystems in a rapidly changing environment.
Materials and Methods
Collection of individuals
We conducted this experiment over 2 days in October 2017, at the Smithsonian Tropical Research Institute’s (STRI) Bocas del Toro Research Station on the Caribbean coast of Panama. We collected individuals near the dock of the research station. As C. xaymacana forages close to the water surface at night and is attracted to light18, we caught individuals at nightfall using a flashlight. We used a 2-L bucket to capture jellyfish along with some seawater. We then brought jellyfish back to the wet laboratory facilities at the station.
Experimental design
We assigned jellyfish individuals haphazardly to one of four 40-L test-buckets, using 10 individuals per replicate bucket. We assigned half the buckets to the control treatment (i.e. known to fluctuate daily between a total scale pH (pHT) of 7.92 and 8.05)39 and half of them to the reduced pH treatment (i.e. 7.5 pH).
We brought each test-bucket to their treatment conditions before adding individuals. Abrupt pH changes are common when individuals move through space in their natural environment32 (e.g. up to 1.51 difference in pH units). Ambient seawater was pumped from a depth of ∼3 meters adjacent to the Smithsonian Tropical Research Institute’s (STRI) dock and was passed through a 50-µm filter (Bubble Bead, Aquaculture Systems Technologies). We plumbed ambient seawater into control buckets or a 120-L reservoir tank (header tank) for pH manipulations (i.e. pH of 7.5; see Treatment conditions). The acidified water was then pumped into the test-buckets assigned to the reduced pH treatment through airline tubing at a rate of 15 ml min−1. For the control test-buckets, ambient seawater from the station seawater system was plumbed into control buckets at the same rate. Excess water flowed over the top of the test-buckets, and because the flow rate was slow we did not observe any loss of jellyfish. We did not feed individuals in the laboratory. We maintained a constant temperature of 28 °C (±0.4) using aquarium heaters in all test-buckets. We checked the temperature twice a day in each test-bucket throughout the experiment, before and after each trial block. We also equipped each test-bucket with a small submersible water pump to create a slow current and keep jellyfish from settling to the bottom. We placed each piece of equipment so that they were far enough from the walls of test-buckets to avoid jellyfish congestion.
Each trial ran for 12 h on a 12:12 hour light cycle. We chose a 12-h period as pilot experiments showed mortality in that timeframe, and because this time of exposure to low pH conditions is longer than what this population is naturally exposed to (i.e. less than 6 h)32. We ran two blocks of four trials each (i.e. 2 control trials and 2 reduced pH trials per block) for a total of 80 tested individuals. At the end of each trial block, we haphazardly selected a test bucket within each treatment to measure ODO and salinity using a multiparameter probe (YSI, Exo). In addition, we measured those parameters at the sampling site once between the two trial blocks as reference.
Treatment conditions
To expose C. xaymacana to 2300 pH projections (i.e. pH of 7.51), we bubbled ambient seawater in a header tank with pure CO2 using a pH-feedback system (Neptune Apex). The header tank was made from a 75-L industrial garbage can with constant flow of ambient seawater that we mediated by an automated float valve. We placed 2 submersible aquarium pumps (1600 l h−1) in the header tank. One pumped treatment seawater from the header tank, through a manifold, and into treatment buckets. We connected an airline to a venturi injector on the second pump to facilitate circulation and rapid diffusion of pure CO2 gas within the header tank. pH of header tanks was monitored continuously with a pH probe (Neptune) that was connected to a solenoid valve through an Apex control unit. Target pH values were set to 7.5. The solenoid valve triggered on, releasing pure CO2 into the header tank, when pH exceeded the target value, and off when pH returned to the set range. We optimized the flow rate of CO2 into the header tank to minimize deviation from target pH to within 0.1, which represents a maximum fluctuation of 0.03 units of pH during trials in the reduced pH treatment due to the low pumping rate. Johnson et al.39 measured total scale pHT daily in their ambient seawater treatments at our laboratory facility, providing evidence that pH deviations in our control trials were likely to be of a similar range (i.e. maximum 0.07 units of pHT) compared to reduced pH treatments. We calibrated the Neptune pH probe with NBS buffers following factory protocol (pH 7.00, 10.00).
We collected water samples between the two trial blocks and from the reduced pH treatment after the end of the experiment for measurements of pH and total alkalinity. We collected the samples outside of test buckets (i.e. control sample from the distributed seawater in the laboratory and reduced pH sample from the header tank) and treated samples with 200 µL of saturated HgCl2 solution to prevent biological alteration of carbonate parameters. We determined pHT and total alkalinity (AT) for each sample. We measured pHT (total scale) and total alkalinity (AT) using an automated titrator (Mettler Toledo DL15) and modified open-cell potentiometric titrations. The titrator was fitted with a glass electrode (Mettler Toledo, DG115-SC) that was calibrated at the start of titrations with NBS buffers (pH 4.00, 7.00, 10.00). pH was determined at the start of titrations. We checked the quality of AT measurements for accuracy against certified reference material (Reference Material for Oceanic CO2 measurements, Batch 158, A. Dickson) at the start and end of titrations. The mean accuracy of AT measurements was 0.44% (N = 4). We calculated the remaining carbonate parameters (i.e. pCO2, dissolved organic carbon (DIC), and aragonite saturation state (ΩAr)) from measured values of AT, salinity and pH using CO2SYS. All output tank calculations were based on tank temperatures of 28 °C.
Mortality rates
We measured mortality 12 h after initiation of a trial. We considered an individual to be alive if it was pulsing, including after being stimulated by a pipette. After a trial block, we released surviving individuals on the opposite end of the dock in more open water compared to the collection site to avoid resampling. Between the two trial blocks, we emptied and cleaned test-buckets, and let them refill with the corresponding treatment water as described above.
Statistical analysis
We used a two-tailed generalized linear model (GLM) fitted to a binomial distribution, and linked to a logit function, to test for the effect of pH treatment on mortality rates. A data point consisted of the 10 individuals from a single trial (i.e. number of individuals alive vs. dead). We included pH treatment as a fixed factor. We performed all statistical tests in R40 using the brglm package41 which accounts for complete separation of the data42 (i.e. mortality observed in the reduced pH treatment only) with an α level of 0.05.
Ethical Statement
All work reported herein was approved by the STRI Animal Care and Use Committee (protocol #2017-0905-2020).
Data Availability
We made the data publicly accessible on FigShare for both the dataset (https://figshare.com/s/9e98195503d34eb46e73) and the analysis script (https://figshare.com/s/b2e0ab822e54da8138b4).
References
Hartin, C. A., Bond-Lamberty, B., Patel, P. & Mundra, A. Ocean acidification over the next three centuries using a simple global climate carbon-cycle model: projections and sensitivities. Biogeosciences 13, 4329–4342, https://doi.org/10.5194/bg-13-4329-2016 (2016).
Caldeira, K. & Wickett, M. E. Anthropogenic carbon and ocean pH. Nature 425, 365–365, https://doi.org/10.1038/425365a (2003).
Ries, J. B., Cohen, A. L. & McCorkle, D. C. Marine calcifiers exhibit mixed responses to CO2-induced ocean acidification. Geology 37, 1131–1134, https://doi.org/10.1130/g30210a.1 (2009).
Fabry, V. J., Seibel, B. A., Feely, R. A. & Orr, J. C. Impacts of ocean acidification on marine fauna and ecosystem processes. ICES J. Mar. Sci. 65, 414–432, https://doi.org/10.1093/icesjms/fsn048 (2008).
Portner, H. O., Langenbuch, M. & Michaelidis, B. Synergistic effects of temperature extremes, hypoxia, and increases in CO2 on marine animals: From Earth history to global change. J. Geophys. Res.-Oceans 110, 15, https://doi.org/10.1029/2004jc002561 (2005).
Condon, R. H. et al. Recurrent jellyfish blooms are a consequence of global oscillations. Proc. Natl. Acad. Sci. USA 110, 1000–1005, https://doi.org/10.1073/pnas.1210920110 (2013).
Dawson, M. N. et al. Population-level perspectives on global change: genetic and demographic analyses indicate various scales, timing, and causes of scyphozoan jellyfish blooms. Biol. Invasions 17, 851–867, https://doi.org/10.1007/s10530-014-0732-z (2015).
Burd, A. B. et al. Towards a transformative understanding of the biology of the ocean’s biological pump: Priorities for future research - Report on the NSF Biology of the Biological Pump Workshop. 67 (Hyatt Place New Orleans, New Orleans, LA, WHOAS: Woods Hole Open Access Server, 2016).
De La Rocha, C. L. In Treatise on Geochemistry Vol. 6 (ed. H. Elderfield) 83–111 (Pergamon Press, 2006).
Mills, C. E. Jellyfish blooms: are populations increasing globally in response to changing ocean conditions? Hydrobiologia 451, 55–68, https://doi.org/10.1023/a:1011888006302 (2001).
Pitt, K. A., Lucas, C. H., Condon, R. H., Duarte, C. M. & Stewart-Koster, B. Claims That Anthropogenic Stressors Facilitate Jellyfish Blooms Have Been Amplified Beyond the Available Evidence: A Systematic Review. Frontiers in Marine Science 5, https://doi.org/10.3389/fmars.2018.00451 (2018).
Clements, J. C. & Hunt, H. L. Marine animal behaviour in a high CO2 ocean. Mar. Ecol.-Prog. Ser. 536, 259–279, https://doi.org/10.3354/meps11426 (2015).
Hammill, E. et al. Ocean acidification alters zooplankton communities and increases top-down pressure of a cubozoan predator. Glob. Change Biol. 24, E128–E138, https://doi.org/10.1111/gcb.13849 (2018).
Goldstein, J., Augustin, C. B., Bleich, S. & Holst, S. A matter of tolerance: Distribution potential of scyphozoan polyps in a changing environment. Mar. Ecol.-Evol. Persp. 38, 10, https://doi.org/10.1111/maec.12457 (2017).
Acevedo, M. J. et al. Revision of the genus Carybdea (Cnidaria: Cubozoa: Carybdeidae): clarifying the identity of its type species Carybdea marsupialis. Zootaxa 4543, 515–548, https://doi.org/10.11646/zootaxa.4543.4.3 (2019).
Conant, F. S. Notes on the Cubomedusae. Johns Hopkins University Circulars 132, 8–10 (1897).
Gershwin, L. A. Taxonomy and phylogeny of Australian Cubozoa Ph.D. thesis, James Cook University, (2005).
Marsh, L. M. & Gurry, D. D. L. Field guide to sea stingers. 1st edn, (2013).
Bailey, P. M., Bakker, A. J., Seymour, J. E. & Wilce, J. A. A functional comparison of the venom of three Australian jellyfish - Chironex fleckeri, Chiropsalmus sp., and Carybdea xaymacana - on cytosolic Ca2+, haemolysis and Artemia sp. lethality. Toxicon 45, 233–242, https://doi.org/10.1016/j.toxicon.2004.10.013 (2005).
Tibballs, J., Li, R., Tibballs, H. A., Gershwin, L. A. & Winkel, K. D. Australian carybdeid jellyfish causing “Irukandji syndrome”. Toxicon 59, 617–625, https://doi.org/10.1016/j.toxicon.2012.01.006 (2012).
Bentlage, B. et al. Evolution of box jellyfish (Cnidaria: Cubozoa), a group of highly toxic invertebrates. Proc. R. Soc. B-Biol. Sci. 277, 493–501, https://doi.org/10.1098/rspb.2009.1707 (2010).
Daly, M. et al. The phylum Cnidaria: A review of phylogenetic patterns and diversity 300 years after Linnaeus. Zootaxa, 127–182 (2007).
Klein, S. G., Pitt, K. A., Rathjen, K. A. & Seymour, J. E. Irukandji jellyfish polyps exhibit tolerance to interacting climate change stressors. Glob. Change Biol. 20, 28–37, https://doi.org/10.1111/gcb.12408 (2014).
Klein, S. G., Pitt, K. A. & Carroll, A. R. Pre-exposure to simultaneous, but not individual, climate change stressors limits acclimation capacity of Irukandji jellyfish polyps to predicted climate scenarios. Coral Reefs 36, 987–1000, https://doi.org/10.1007/s00338-017-1590-9 (2017).
Kavanau, J. L. Is sleep’s ‘supreme mystery’ unraveling? An evolutionary analysis of sleep encounters no mystery; nor does life’s earliest sleep, recently discovered in jellyfish. Medical Hypotheses 66, 3–9, https://doi.org/10.1016/j.mehy.2005.08.036 (2006).
Kroeker, K. J. et al. Impacts of ocean acidification on marine organisms: quantifying sensitivities and interaction with warming. Glob. Change Biol. 19, 1884–1896, https://doi.org/10.1111/gcb.12179 (2013).
Timpane-Padgham, B. L., Beechie, T. & Klinger, T. A systematic review of ecological attributes that confer resilience to climate change in environmental restoration. PLoS One 12, 23, https://doi.org/10.1371/journal.pone.0173812 (2017).
Portner, H. O. Coordination of metabolism, acid-base regulation and haemocyanin function in cephalopods. Mar. Freshw. Behav. Physiol. 25, 131–148, https://doi.org/10.1080/10236249409378913 (1994).
Kikkawa, T., Minowa, Y., Nakamura, Y., Kita, J. & Ishimatsu, A. Swimming inhibition by elevated pCO2 in ephyrae of the scyphozoan jellyfish, Aurelia. Plankton and Benthos. Research 5, 119–122, https://doi.org/10.3800/pbr.5.119 (2010).
Main, W. P. L., Ross, C. & Bielmyer, G. K. Copper accumulation and oxidative stress in the sea anemone, Aiptasia pallida, after waterborne copper exposure. Comp. Biochem. Physiol. C-Toxicol. Pharmacol. 151, 216–221, https://doi.org/10.1016/j.cbpc.2009.10.008 (2010).
Gordon, M. R. Ecophysiology of the tropical Australian chirodropid Chiropsalmus quadrigatus (Haeckel) B.Sc.(Hons.) thesis, James Cook University, (1998).
Gedan, K. B., Altieri, A. H., Feller, I., Burrell, R. & Breitburg, D. Community composition in mangrove ponds with pulsed hypoxic and acidified conditions. Ecosphere 8, 18, https://doi.org/10.1002/ecs2.2053 (2017).
Stopar, K., Ramsak, A., Trontelj, P. & Malej, A. Lack of genetic structure in the jellyfish Pelagia noctiluca (Cnidaria: Scyphozoa: Semaeostomeae) across European seas. Molecular Phylogenetics and Evolution 57, 417–428, https://doi.org/10.1016/j.ympev.2010.07.004 (2010).
Ram, Y. & Hadany, L. Condition-dependent sex: who does it, when and why? Philos. Trans. R. Soc. B-Biol. Sci. 371, 8, https://doi.org/10.1098/rstb.2015.0539 (2016).
Bell, G. & Gonzalez, A. Evolutionary rescue can prevent extinction following environmental change. Ecol. Lett. 12, 942–948, https://doi.org/10.1111/j.1461-0248.2009.01350.x (2009).
Mitra, A. et al. Bridging the gap between marine biogeochemical and fisheries sciences; configuring the zooplankton link. Prog. Oceanogr. 129, 176–199, https://doi.org/10.1016/j.pocean.2014.04.025 (2014).
Armengol, L., Franchy, G., Ojeda, A., Santana-del Pino, A. & Hernandez-Leon, S. Effects of copepods on natural microplankton communities: do they exert top-down control? Mar. Biol. 164, 13, https://doi.org/10.1007/s00227-017-3165-2 (2017).
Hallegraeff, G. M. Ocean climate change, phytoplankton community responses, and harmful algal blooms: a formidable predictive challenge. J. Phycol. 46, 220–235, https://doi.org/10.1111/j.1529-8817.2010.00815.x (2010).
Johnson, M. D., Rodriguez Bravo, L. M., O’Connor, S. E., Varley, N. F., Altieri, A. H. pH variability exacerbates effects of ocean acidification on a caribbean crustose coralline alga. Front. Mar. Sci. (in press).
The R Project for Statistical Computing v. 3.5.0 (The R Foundation, 2018).
Kosmidis, I. Bias reduction in binomial-response generalized linear models, https://cran.r-project.org/web/packages/brglm/brglm.pdf (2017).
Heinze, G. & Schemper, M. A Solution to the problem of separation in logistic regression. Stat. Med. 21, 2409–2419, https://doi.org/10.1002/sim.1047 (2002).
Winans, A. K. & Purcell, J. E. Effects of pH on asexual reproduction and statolith formation of the scyphozoan, Aurelia labiata. Hydrobiologia 645, 39–52, https://doi.org/10.1007/s10750-010-0224-9 (2010).
Lesniowski, T. J. et al. Effects of food and CO2 on growth dynamics of polyps of two scyphozoan species (Cyanea capillata and Chrysaora hysoscella). Mar. Biol. 162, 1371–1382, https://doi.org/10.1007/s00227-015-2660-6 (2015).
Alguero-Muniz, M., Meunier, C. L., Holst, S., Alvarez-Fernandez, S. & Boersma, M. Withstanding multiple stressors: ephyrae of the moon jellyfish (Aurelia aurita, Scyphozoa) in a high-temperature, high-CO2 and low-oxygen environment. Mar. Biol. 163, 12, https://doi.org/10.1007/s00227-016-2958-z (2016).
Tills, O. et al. Reduced pH affects pulsing behaviour and body size in ephyrae of the moon jellyfish, Aurelia aurita. J. Exp. Mar. Biol. Ecol. 480, 54–61, https://doi.org/10.1016/j.jembe.2016.03.014 (2016).
Treible, L. M., Pitt, K. A., Klein, S. G. & Condon, R. H. Exposure to elevated pCO(2) does not exacerbate reproductive suppression of Aurelia aurita jellyfish polyps in low oxygen environments. Mar. Ecol.-Prog. Ser. 591, 129–139, https://doi.org/10.3354/meps12298 (2018).
Acknowledgements
We thank Drs Rachel Collin, Noelle Lucey, Edd Hammell, and Piero Calosi, as well as Jimena Garcia-Rodriguez, an anonymous reviewer, and the crew team at STRI for their hospitality, or precious help and advices. This project was generously funded by the NSERC-CREATE in Biodiversity, Ecosystem Services, and Sustainability, and by the Quebec Center for Biodiversity Science Excellence Award obtained by P.J.C.
Author information
Authors and Affiliations
Contributions
All authors contributed to the design of the experiment. P.J.C. performed the experiment, analysed the data, and wrote the manuscript. M.D.J. assisted with experimental setup and analysed the water chemistry parameters. M.D.J. and F.G. provided several rounds of feedback to the manuscript.
Corresponding author
Ethics declarations
Competing Interests
The authors declare no competing interests.
Additional information
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Chuard, P.J.C., Johnson, M.D. & Guichard, F. Ocean acidification causes mortality in the medusa stage of the cubozoan Carybdea xaymacana. Sci Rep 9, 5622 (2019). https://doi.org/10.1038/s41598-019-42121-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-019-42121-0
This article is cited by
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.