Skip to main content
Biology Letters logoLink to Biology Letters
. 2018 Nov 28;14(11):20180408. doi: 10.1098/rsbl.2018.0408

Robust quantification of fish early life CO2 sensitivities via serial experimentation

Hannes Baumann 1,, Emma L Cross 1, Chris S Murray 1
PMCID: PMC6283935  PMID: 30487256

Abstract

Despite the remarkable expansion of laboratory studies, robust estimates of single species CO2 sensitivities remain largely elusive. We conducted a meta-analysis of 20 CO2 exposure experiments conducted over 6 years on offspring of wild Atlantic silversides (Menidia menidia) to robustly constrain CO2 effects on early life survival and growth. We conclude that early stages of this species are generally tolerant to CO2 levels of approximately 2000 µatm, likely because they already experience these conditions on diel to seasonal timescales. Still, high CO2 conditions measurably reduced fitness in this species by significantly decreasing average embryo survival (−9%) and embryo+larval survival (−13%). Survival traits had much larger coefficients of variation (greater than 30%) than larval length or growth (3–11%). CO2 sensitivities varied seasonally and were highest at the beginning and end of the species' spawning season (April–July), likely due to the combined effects of transgenerational plasticity and maternal provisioning. Our analyses suggest that serial experimentation is a powerful, yet underused tool for robustly estimating small but true CO2 effects in fish early life stages.

Keywords: ocean acidification, Atlantic silverside, survival, growth, log-transformed response ratio, serial experimentation

1. Introduction

The challenge to understand marine species sensitivities to ocean acidification (OA) has fuelled a remarkable expansion of laboratory studies over recent decades [1]. The accumulating empirical evidence is critical for distinguishing CO2-sensitive from CO2-tolerant species, life stages and traits, and for elucidating mechanisms behind observed effects. Meta-analyses have revealed some general patterns across taxa [2,3], but robust estimates of CO2 sensitivities within taxa have yet to emerge. This may partly be due to often divergent experimental findings between closely related species, populations or repeated studies [1]. Another methodological concern is the probability of detecting small CO2 effects in fitness-relevant traits that are primarily controlled by other abiotic and biotic factors. To detect such effects, experimenters most commonly employ within-experiment replication. Unfortunately, logistical and pseudo-replication issues often limit feasible replication levels, hence most published CO2 experiments have used three to five replicates. This suffices to detect major CO2 effects, but other potentially important responses could go undetected for lack of statistical power. An alternative approach involves the replication of experiments themselves to strengthen statistical power [4] and quantify within- and among-experiment variability, including critical but so far lacking laboratory comparisons of same species CO2 responses.

The Atlantic silverside (Menidia menidia, Atherinopsidae) is an ecologically important forage fish along the North American Atlantic coast and a long-term model for CO2 sensitivity studies in our laboratory [59]. While research targeted different questions throughout the years, all experiments shared consistent rearing protocols, response variables and a standard contrast of CO2 treatments. Here we synthesize all these standard experiments to derive robustly constrained estimates for early life survival and growth responses to high CO2 conditions in this species, including CO2 effects on trait variability and trait correlations.

2. Material and methods

(a). Overview of experiments

We used data collected over 6 years (2012–2017) from 20 published CO2 exposure experiments [5,6,8,9] as summarized in table 1. Briefly, each experiment started with precisely counted, newly fertilized embryos that were obtained during the species’ spawning season (April–July) by sampling and then strip-spawning wild adults (20+ per sex) from nearshore sites of Long Island Sound (41°N, 72.5°W). All standard experiments quantified CO2 effects at the species' thermal optimum (24°C, [11]), used full strength seawater (28–32), a 15 L : 9 D light regime, and ad libitum post-hatch rations of Artemia salina nauplii. Within-treatment replication ranged from 3 to 15. The standard contrast was between ambient (approx. 400 µatm, range: 345–758 µatm) and high CO2 conditions (approx. 2300 µatm, range: 2145–2881 µatm), the latter representing a common benchmark in OA research as well as extreme late summer conditions in the species habitat [12]. Realized pCO2 levels were always calculated (CO2SYS) from water samples taken randomly from each treatment and measured for total alkalinity or DIC, pH, salinity and temperature. Each experiment counted and measured larvae (standard length, SL, nearest 0.01 mm) at 1 and 10 days post-hatch (dph), thus quantifying embryo survival (i.e. fertilization to 1 dph), larval survival (1–10 dph), overall survival (fertilization to 10 dph), SL at 1 dph (hereafter: hatch length), SL at 10 dph (hereafter: larval length) and larval growth rate. Please see the electronic supplementary material for further method details.

Table 1.

Overview of 20 standard CO2 exposure experiments (A: ambient, H: high CO2) conducted between 2012 and 2017 on offspring of wild Atlantic silversides.a

experiment year source population within-treatment replication pCO2 range (µatm) source publication
1–5 2012 Poquot Cove, NY 3, 3, 5, 5, 5 A: 624–758
H: 2153–2380
[8]
6–10 2013 13, 5, 6, 5, 5 A: 459–560
H: 2145–2540
[5,8]
11–12 2014 5, 6 A: 447
H: 2881
[6]
13–16 2016 Mumford Cove, CT 5, 15, 5, 5 A: 345–427
H: 2157–2190
[6,9]
17–20 2017 3, 5, 5, 3 A: 368–389
H: 2155–2265
[6]

aSource data available at [10].

(b). Data analysis

We first computed treatment-specific means and coefficients of variation (CV = s.d./mean) for each trait and experiment, followed by averaging these values across experiments and calculating 95% confidence intervals (CI) using a bias-corrected accelerated bootstrap procedure (BCa, SPSS V20 IBM®). Second, we estimated the overall CO2 effect size for each trait using log-transformed response ratios (RR). RRs are commonly employed in meta-analyses [2,3,13], because they quantify the proportional change resulting from experimental manipulations, have robust statistical properties and a straightforward biological interpretation [13]. We used treatment-specific replicate means for each trait (TM) to first calculate the RRM for each experiment [RRM = ln(TM high) − ln(TM ambient)], then averaged all RRM's and calculated 95% CIs (BCa). Similarly, we estimated overall CO2 effects on trait variability by calculating RRSD [=ln(TSD High) − ln(TSD ambient)] for each experiment, which were then averaged (±95% CI, BCa). We used unweighted RRs to avoid decreasing sample size and thus potential underestimation of effect sizes (following [13,14]). Overall CO2 effects were considered significant, if their 95% CI did not include zero. We further examined whether trait-specific response ratios (RRM) varied with the day of fertilization (April–July), given that wild spawners experience seasonal acidification that may influence offspring CO2 sensitivity [8]. Last, we correlated embryo survival, larval survival, hatch length and larval length to evaluate whether the expected growth–mortality coupling during fish early life stages [15] was sensitive to high CO2.

3. Results

Across experiments, silverside early life-history traits differed considerably in their CVs (table 2). Hatch (3%) and larval length (5%) were least variable, whereas larval and overall survival had CVs exceeding 30%. Embryo survival was more variable at high (16%) compared to ambient CO2 treatments (10%).

Table 2.

Cross-experimental means (±95% CI) and coefficients of variation (CV ± 95% CI) of early life-history traits in M. menidia offspring reared at 24°C and contrasting CO2 conditions.

ambient CO2
high CO2
trait average (95% CI) CV (95% CI) average (95% CI) CV (95% CI)
embryo survival 84% (80–86) 10% (8–12) 76% (73–80) 16% (11–21)
larval survival 53% (48–57) 33% (23–44) 53% (49–56) 32% (23–41)
overall survival 44% (40–48) 35% (26–46) 40% (36–44) 38% (29–49)
hatch length 5.3 mm (5.2–5.3) 3% (2–3) 5.3 mm (5.2–5.3) 2% (2–2)
larval length 10.9 mm (10.5–11.4) 5% (4–6) 10.8 mm (10.4–11.3) 5% (4–6)
growth 0.50 mm d−1 (0.47–0.54) 11% (9–13) 0.50 mm d−1 (0.46–0.53) 11% (9–14)

Overall CO2 effects (RRM) were negative for all traits (figure 1a,b), but only for embryo and overall survival the 95% CI of excluded zero (figure 1a). The mean RRM for embryo survival was −0.09 (95% CI: −0.17 to −0.03), hence, high CO2 conditions reduced this trait by on average 9% (3–17%). Similarly, the negative RRM of overall survival (embryo + larval stage) indicated an average CO2 induced reduction by 13% (1.4–24%). Effects on hatch length (−0.1%), larval length (−1.4%) and growth (−3.4%) were not significant (figure 1b). High CO2 conditions increased the variability in embryo survival (RRSD = 0.31), but decreased the variability in hatch length (RRSD = −0.25, figure 1c,d).

Figure 1.

Figure 1.

Mean (±95% CI) responses of M. menidia early life traits to high CO2 conditions. (a,b) Trait means (RRM); (c,d) trait variability (RRSD). (e,f) Seasonal variability in CO2 effects on (e) overall survival and (f) larval final length. Symbols represent effect sizes (RRM) fitted with a quadratic regression (black lines and shaded 95% CI).

In four of six traits (larval and overall survival, final length, growth), CO2 effects were significantly (p < 0.004) related to the fertilization day of each experiment, with quadratic regressions explaining up to 67% of the variability in RRM's. Hence, negative CO2 effects on overall survival or larval length occurred mostly in offspring produced at the beginning or end of the silverside spawning season (April–July, figure 1e,f). Embryo survival was unrelated to larval survival or larval length irrespective of CO2 treatments. Positive correlations (p < 0.05) occurred in both CO2 treatments between hatch length versus larval length, hatch length versus embryo survival and larval length versus larval survial. Only at high CO2 conditions, however, hatch length and larval survival were positively correlated (p = 0.02, electronic supplementary material, table S1).

4. Discussion

Years of sustained experimental work on the CO2 sensitivity of wild Atlantic silverside offspring [5,6,8,9] produced the most robustly constrained estimates of trait responses to high CO2 for a marine organism to date. Our analyses suggest that early stages of this forage fish are generally tolerant of CO2 levels of approximately 2000 µatm. This may confirm the default expectation for nearshore marine organisms, which often already experience high CO2 conditions on diel to seasonal timescales [12,16]. And yet, even in this species high CO2 conditions measurably reduced fitness via decreasing embryo survival by 3–17%. Silversides are therefore similar to other taxa, where the earliest life stages generally show highest CO2 sensitivities [2,3]. However, important carry-over effects may occur [7], given that the survival reduction of silverside embryos and larvae combined was greater (−13%) than during each stage alone. We note that these CO2 effects seem small but still correspond to considerable productivity losses if scaled to population level [17].

Our comparisons revealed that individual experiments differed often markedly from the robust, overall picture. Significant CO2 effects on hatch length, for example, occurred in both directions in few experiments, but were overall not evident. For other effects, high inter-experimental variability was clearly seasonal and was likely increased further by parental effects and trait stochasticity. Seasonal plasticity in offspring CO2 sensitivity has been described before and linked to transgenerational adaptation to a gradually acidifying environment throughout the species' spawning season [8,18]. Seasonal acidification is typical for many coastal habitats and may similarly affect other coastal organisms [12]. In silversides, CO2 sensitivities increased again at the end of their spawning season (July), which was likely due to decreased egg quality, given that absolute egg survival also declined during this period [8]. Moreover, maternal egg provisioning with fatty acids varies in this species and may influence offspring CO2 sensitivity [9]. In contrast to wild populations, laboratory brood stocks experience less parental and environmental variability, which should be taken into account when predicting population CO2 sensitivities from experiments.

Growth and survival are generally coupled in fish early life stages [15] which was corroborated by the positive relationship between e.g. larval length and survival. However, only at high CO2 conditions did greater length at hatch confer a survival advantage into the larval stage; implying that this natural selection process could strengthen in future high CO2 oceans.

While this analysis robustly characterized CO2 sensitivities at the species’ thermal optimum, patterns across its full thermal range could differ [3]. For silversides, however, we have so far found only limited evidence for increased sensitivities at higher (28°C) or lower temperatures (17, 20°C), and more observations are needed to confidently establish these functional responses [6]. In addition, long-term and whole-life cycle responses (e.g. fecundity) of high CO2 environments are still uncertain, but have now received increasing attention [7].

The inherent variability of early life traits suggests that serial experimentation could be required in some cases to robustly estimate CO2 effects or to even detect them. We depict this in figure 2, where we plotted the degrees of freedom for each experiment (i.e. its replication level) against absolute treatment differences for embryo survival (%). We then used the average treatment-specific variances to derive and overlay the probability surface of a t-distribution, illustrating that only two of our experiments had high enough replication and/or response levels to outright reject the null hypothesis, while most experiments had insufficient replication (n = 3–5) for observed treatment differences (figure 2). In combination, however, the significant 9% reduction in embryo survival became evident.

Figure 2.

Figure 2.

Detecting significant effects in CO2 exposure experiments. Symbols represent average absolute treatment differences (%) in embryo survival (ΔSemb) plotted against the degrees of freedom (DF) for each experiment. Probability isolines (p = 0.05, p = 0.01, p = 0.001) were derived from a two-tailed t-distribution with t-values calculated as
graphic file with name rsbl20180408-e1.jpg
using overall treatment averages for SD (SDamb = 13%, SDhigh = 17%) and applied to a matrix of theoretical ΔSemb and effective DF values (Welch–Satterthwaite equation).

Several research groups likely have similar repetitive data for other model species, and a synthesis of such data would be equally valuable to inform predictive frameworks. Going forward, refined experiments will continue to contribute important data toward anticipating the impacts of ocean acidification, particularly when they include the earliest life stages, examine potential carry-over effects and are focused on traits of known fitness relevance.

Supplementary Material

Correlation of early life history traits under contrasting
rsbl20180408supp1.docx (68.1KB, docx)

Supplementary Material

Detailed description of spawning, rearing, and CO2 manipulation methods
rsbl20180408supp2.docx (58.7KB, docx)

Supplementary Material

Reevaluation of experimental data using Hedges d instead of log-transformed response ratios as a metric for effect size.
rsbl20180408supp3.docx (362.2KB, docx)

Acknowledgements

We are grateful to students and staff facilitating these experiments.

Ethics

Approved by Institutional Animal Care and Use Committees (IACUC) of Stony Brook University (no. 2010–1842) and University of Connecticut (no. A14-032).

Data accessibility

Dryad Digital Repository: http://dx.doi.org/10.5061/dryad.4573j74 [10].

Authors' contributions

H.B. and C.S.M. designed and performed experiments; H.B., E.L.C., and C.S.M. analysed data. All authors interpreted the results, contributed to writing the manuscript and approved the final version, for which they agree to be held accountable.

Competing interests

We declare we have no competing interests.

Funding

This article was supported by NSF-OCE no. 1097840, no. 1536336 to H.B.

References

  • 1.Browman HI. 2016. Applying organized scepticism to ocean acidification research. ICES J. Mar. Sci. 73, 529–536. ( 10.1093/icesjms/fsw010) [DOI] [Google Scholar]
  • 2.Cattano C, Claudet J, Domenici P, Milazzo M. 2018. Living in a high CO2 world: a global meta-analysis shows multiple trait-mediated fish responses to ocean acidification. Ecol. Monogr. 88, 320–335. ( 10.1002/ecm.1297) [DOI] [Google Scholar]
  • 3.Harvey BP, Gwynn-Jones D, Moore PJ. 2013. Meta-analysis reveals complex marine biological responses to the interactive effects of ocean acidification and warming. Ecol. Evol. 3, 1016–1030. ( 10.1002/ece3.516) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Baumann H, Talmage SC, Gobler CJ. 2012. Reduced early life growth and survival in a fish in direct response to increased carbon dioxide. Nat. Clim. Change 2, 38–41. ( 10.1038/nclimate1291) [DOI] [Google Scholar]
  • 5.Malvezzi A, Murray CS, Feldheim KA, Dibattista JD, Garant D, Gobler CJ, Chapman DD, Baumann H. 2015. A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification. Evol. Appl. 8, 352–362. ( 10.1111/eva.12248) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Murray CS, Baumann H. 2018. You better repeat it: complex temperature×CO2 effects in Atlantic silverside offspring revealed by serial experimentation. Diversity 10, 1–19. ( 10.3390/d10030069) [DOI] [Google Scholar]
  • 7.Murray CS, Fuiman L, Baumann H. 2017. Consequences of elevated CO2 exposure across multiple life stages in a coastal forage fish. ICES J. Mar. Sci. 74, 1051–1061. ( 10.1093/icesjms/fsw179) [DOI] [Google Scholar]
  • 8.Murray CS, Malvezzi AJ, Gobler CJ, Baumann H. 2014. Offspring sensitivity to ocean acidification changes seasonally in a coastal marine fish. Mar. Ecol. Prog. Ser. 504, 1–11. [Google Scholar]
  • 9.Snyder JT, Murray CS, Baumann H. 2018. Potential for maternal effects on offspring CO2 sensitivities in the Atlantic silverside (Menidia menidia). J. Exp. Mar. Biol. Ecol. 499, 1–8. ( 10.1016/j.jembe.2017.11.002) [DOI] [Google Scholar]
  • 10.Baumann H, Cross EL, Murray CS. 2018. Data from: Robust quantification of fish early life CO2 sensitivities via serial experimentation Dryad Digital Repository. ( 10.5061/dryad.4573j74 [DOI] [PMC free article] [PubMed]
  • 11.Middaugh DP, Hemmer MJ, Goodman LR. 1987. Methods for spawning, culturing and conducting toxicity-tests with early life stages of four atherinid fishes: the inland silverside, Menidia beryllina, Atlantic silverside, M. menidia, tidewater silverside, M. peninsulae and California grunion, Leuresthes tenuis (ed. O.o.R.a. Development). Washington, WA: U.S. Environmental Protection Agency. [Google Scholar]
  • 12.Baumann H, Smith EM. 2018. Quantifying metabolically driven pH and oxygen fluctuations in US nearshore habitats at diel to interannual time scales. Est Coast 41, 1102–1117. [Google Scholar]
  • 13.Kroeker KJ, Kordas RL, Crim RN, Singh GG. 2010. Meta-analysis reveals negative yet variable effects of ocean acidification on marine organisms. Ecol. Lett. 13, 1419–1434. ( 10.1111/j.1461-0248.2010.01518.x) [DOI] [PubMed] [Google Scholar]
  • 14.Englund G, Sarnelle O, Cooper SD. 1999. The importance of data-selection criteria: meta-analyses of stream predation experiments. Ecology 80, 1132–1141. [Google Scholar]
  • 15.Heath MR. 1992. Field investigations of the early life stages of marine fish. Adv. Mar. Biol. 28, 1–174. [Google Scholar]
  • 16.Baumann H, Wallace R, Tagliaferri T, Gobler CJ. 2015. Large natural pH, CO2 and O2 fluctuations in a temperate tidal salt marsh on diel, seasonal and interannual time scales. Est Coast 38, 220–231. [Google Scholar]
  • 17.Stiasny MH, et al. 2016. Ocean acidification effects on Atlantic cod larval survival and recruitment to the fished population. PLoS ONE 11, e0155448 ( 10.1371/journal.pone.0155448) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Munday PL. 2014. Transgenerational acclimation of fishes to climate change and ocean acidification. F1000Prime Rep. 6, 1–11. ( 10.12703/P6-99) [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Citations

  1. Baumann H, Cross EL, Murray CS. 2018. Data from: Robust quantification of fish early life CO2 sensitivities via serial experimentation Dryad Digital Repository. ( 10.5061/dryad.4573j74 [DOI] [PMC free article] [PubMed]

Supplementary Materials

Correlation of early life history traits under contrasting
rsbl20180408supp1.docx (68.1KB, docx)
Detailed description of spawning, rearing, and CO2 manipulation methods
rsbl20180408supp2.docx (58.7KB, docx)
Reevaluation of experimental data using Hedges d instead of log-transformed response ratios as a metric for effect size.
rsbl20180408supp3.docx (362.2KB, docx)

Data Availability Statement

Dryad Digital Repository: http://dx.doi.org/10.5061/dryad.4573j74 [10].


Articles from Biology Letters are provided here courtesy of The Royal Society

RESOURCES