http://orcid.org/0000-0002-2606-4753
Figures
Abstract
Ocean acidification and ocean warming (OAW) are simultaneously occurring and could pose ecological challenges to marine life, particularly early life stages of fish that, although they are internal calcifiers, may have poorly developed acid-base regulation. This study assessed the effect of projected OAW on key fitness traits (growth, development and swimming ability) in European sea bass (Dicentrarchus labrax) larvae and juveniles. Starting at 2 days post-hatch (dph), larvae were exposed to one of three levels of PCO2 (650, 1150, 1700 μatm; pH 8.0, 7.8, 7.6) at either a cold (15°C) or warm (20°C) temperature. Growth rate, development stage and critical swimming speed (Ucrit) were repeatedly measured as sea bass grew from 0.6 to ~10.0 (cold) or ~14.0 (warm) cm body length. Exposure to different levels of PCO2 had no significant effect on growth, development or Ucrit of larvae and juveniles. At the warmer temperature, larvae displayed faster growth and deeper bodies. Notochord flexion occurred at 0.8 and 1.2 cm and metamorphosis was completed at an age of ~45 and ~60 days post-hatch for sea bass in the warm and cold treatments, respectively. Swimming performance increased rapidly with larval development but better swimmers were observed in the cold treatment, reflecting a potential trade-off between fast grow and swimming ability. A comparison of the results of this and other studies on marine fish indicates that the effects of OAW on the growth, development and swimming ability of early life stages are species-specific and that generalizing the impacts of climate-driven warming or ocean acidification is not warranted.
Citation: Cominassi L, Moyano M, Claireaux G, Howald S, Mark FC, Zambonino-Infante J-L, et al. (2019) Combined effects of ocean acidification and temperature on larval and juvenile growth, development and swimming performance of European sea bass (Dicentrarchus labrax). PLoS ONE 14(9): e0221283. https://doi.org/10.1371/journal.pone.0221283
Editor: Frank Melzner, Helmholtz-Zentrum fur Ozeanforschung Kiel, GERMANY
Received: February 28, 2019; Accepted: August 2, 2019; Published: September 6, 2019
Copyright: © 2019 Cominassi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are available through the Dryad Repository at doi: 10.5061/dryad.dr2qr81.
Funding: This work was funded by the FITNESS project (Deutsche Forschungemeinschaft, http://www.dfg.de/en/, PE 1157/8-1 to MAP, and MA 4271/3-1 to FCM). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: Co-author MAP is a PLOS ONE Editorial Board member. This does not alter the authors’ adherence to PLOS ONE editorial policies and criteria. All other authors have declared that no competing interests exist.
Introduction
Over the last 150 years, the burning of fossil fuels has contributed to an increase in atmospheric CO2 from approximately 280 to 410 ppm and a further increase (730 to 1020 ppm) is anticipated by the end of 2100 [1,2]. This increased concentration of atmospheric CO2 (PCO2) has enhanced greenhouse warming around the globe at a rate of ~ 0.2°C per decade in the past 30 years [3] and, after dissolving in the oceans, it is causing ocean acidification (OA). During the 20th century, the pH of ocean surface waters has decreased by 0.1 pH units and a further reduction of 0.3–0.5 pH units is expected to occur by the end of the present century [4]. These changes in PCO2, pH and temperature of the oceans have impacted the distribution, physiological performance, morphology and behavior of marine organisms [5]. The effect of the interaction between OA and warming (OAW) on marine flora and fauna is difficult to predict, especially since impacts are often life stage- and species-specific, and ocean warming (OW) could either offset [6] or aggravate impacts of OA.
Gaining a mechanistic, physiologically-based understanding of how OAW affects marine flora and fauna is essential for reliable projections of future effects of climate change [7]. Studies examining the consequences of OA on marine organisms have mainly focused on calcifying invertebrates [8, 9] with far fewer studies conducted on fish [10]. In fish, accumulating bicarbonate is a classical response aimed at regulating acid-base balance when the internal milieu acidifies. The net increase of HCO3- in plasma occurs in exchange for Cl-, predominantly at the gills [11], but this HCO3- / Cl- exchange eventually reaches a species-specific threshold beyond which acid-base regulation may occur at the expense of internal ionic/osmotic balance [12]. Juvenile and adult fish have efficient acid-base and osmo-ionic regulatory systems and are particularly tolerant to environmental hypercapnia and acidification [13]. Young larvae, however, have not yet developed full regulatory capacity and, consequently, they are expected to be more sensitive to changes in internal PCO2 and pH [14, 15]. This appears to be the case as several studies have reported decreased survival and/or abnormal development in marine fish larva exposed to OA [16, 17, 18] and behavior can be impacted via impaired sensory abilities such as olfaction [19]. Within the thermal tolerance window, warming increases rates of biochemical reactions and, thus, overall energy requirements and oxygen demand. After a certain thermal threshold is exceeded, however, deterioration in cellular activities occurs, resulting in reduced tissue and organismal-level performance. Decrements in performance may be due to the limited capacity of the oxygen transport chain to sustain temperature-driven increases in ATP production by mitochondria [20, 21, 22]. It might also be explained by the ‘multiple performances–multiple optima’ (MPMO) hypothesis, which posits that each physiological activity has its own thermal optimum which can shift with life stage and the nature of the thermal challenge [23].
In early life stages of marine fish, growth and development lead to improvements in locomotor performance, a fundamental trait that influences food acquisition, predator avoidance and habitat connectivity (e.g. between spawning sites and larval nursery areas) [24]. Hence, locomotor performance is a key determinant of Darwinian fitness. Critical swimming speed (Ucrit; [25]) is a popular measure of swimming performance, estimating the athleticism of fish. The Ucrit is also a well-established index to monitor the ontogeny of swimming performance in marine fish larvae, especially in tropical species [26]. Moreover, Ucrit has been frequently used to evaluate the effects of environmental factors (e.g. temperature, dissolved oxygen concentration, presence of toxins and pathogens) on the physiological performance of fish [27]. Therefore, when examining the effects of OA and/or OW on organismal-level performance, examining Ucrit, along with growth and development, provides an integrated measure of physiological impact with clear ecological relevance.
The European sea bass (Dicentrarchus labrax) is one of the most important commercial and recreational fish species in the Northeast (NE) Atlantic and Mediterranean Sea, and potential sensitivity to stressors can negatively impact the productivity of this species and its fisheries [28]. Due to its importance as an aquaculture target, standard rearing protocols exist for rearing sea bass early life stages, and swimming performance has been well measured, including inter-individual variability and repeatability [29, 30]. We examined the effects of OAW on the somatic growth, development and swimming capacity throughout the larval and early juvenile phase of sea bass reared at two temperatures (15°C and 20°C) and three PCO2 levels (650, 1150, 1700 μatm; pH 8.0, 7.8, 7.6). We compared our results with previous studies conducted on sea bass and critically reviewed the literature published on the effects of OA, OW, and OAW on the swimming ability of marine fish early life stage.
Materials and methods
The present work was performed within Ifremer-Centre de Bretagne facilities (agreement number: B29-212-05). Experiments were conducted according to the ethics and guideline of the French law and approved by the governmental ethics committee of the Brittany region (Comité d'Ethique Finistérien en Experimentation Animal, CEFEA, registering code C2EA-74) (Authorization APAFIS 4341.03).
Animals and experimental conditions
Water parameters.
The larvae and post-larval juveniles were incubated within 6 different OAW treatments. The acidification conditions included three different CO2 partial pressures (PCO2). For the control treatment, the targeted level of CO2 was set to approximately 650 μatm, today’s ambient situation in coastal waters of Brittany [31, 32], with an annual mean PCO2 level of 603 μatm (range 284–888 μatm) in the Bay of Brest, in 2014 [33]. Climate projections indicate that the oceans will reach about 1000 μatm PCO2 in the next 130 years [2, 4, 34]. A second treatment was based on the IPCC Representative Concentration Pathway (RCP) 8.5 scenario projecting a ΔPCO2 of ~500 μatm above current values (labelled Δ500, approx. 1150 μatm) [2]. Sea bass juveniles and adults are usually found in coastal waters and estuaries where the impact of PCO2 might be exacerbated [35, 36]. Wallace et al., 2014 [37] reported PCO2 values >2000 μatm in northeast US estuaries, while values up to 3000 μatm were recorded in coastal areas of the SW Baltic Sea [38]. Based on those data, and PCO2 values of European estuaries provided by Frankignoulle et al., 1998 [39], a higher CO2 treatment of Δ1000 μatm from ambient level (labelled Δ1000, approx. 1700 μatm) was applied representing CO2 condition encountered occasionally by the adults and may become more common under future climate. Acidification conditions were crossed with two temperatures: a ‘cold’ (ambient condition) and a ‘warm’ (global warming) treatment. Under ambient condition, larvae were reared at 15°C and juveniles experienced 15 to 18°C (natural, seasonal differences reflecting ambient summer conditions in the Bay of Brest (see http://marc.ifremer.fr/en/results/temperature_and_salinity/mars3d_channel_bay_of_biscay_model/(typevisu)/map/(zoneid)/sudbzh#appTop) [40, 41]. In the warm treatment, larvae were reared at 20°C and juveniles experienced 20 to 23°C (5°C warmer than the cold treatment). The 5°C increase was based on the ‘business-as-usual (RCP 8.5) scenario predicted by the general circulation models (GCMs) by the end of the century [42]. We applied constant temperatures for larvae and seasonally changing temperatures for juveniles to better depict thermal conditions experienced by these life stages in the wild. Due to relatively fast rates of growth and development, sea bass larvae experience less differences in temperature compared to juveniles. Larvae hatch offshore, and then juveniles enter estuaries in the late spring and grow in these waters through the summer months [43, 44].
The sea water was pumped from a depth of 20 m approximately 500 m from the coastline in the Bay of Brest, passed through a sand filter (~500 μm), heated (tungsten, Plate Heat Exchanger, Vicarb, Sweden), degassed using a column, filtered using a 2 μm membrane and finally UV sterilized (PZ50, 75W, Ocene, France) assuring high water quality. Replicate treatment tanks (n = 3 for larval rearing and n = 2 for juvenile rearing) were supplied with sea water via header tanks where water PCO2 was controlled using an IKS Aquastar system (IKS Computer Systeme GmbH, Germany). This design used interdependent treatment replicates which was corrected using tank as a random factor in the analysis [45]. The system continuously measured water pH and controlled a solenoid valve connected to a CO2 cylinder. This valve controlled the amount of CO2 injected into the header tank water, which supplied the fish rearing tank. Temperature and pH were checked daily with a WTW 3110 pH meter (Xylem Analytics Germany, Weilheim, Germany; with electrode: WTW Sentix 41, NBS scale) before feeding the fish. The pH meter as well as the IKS Aquastar system were calibrated daily with NBS certified WTW technical buffers pH 4.01 and pH 7.00 (Xylem Analytics Germany, Weilheim, Germany). Total alkalinity was measured once a week following the protocol of Anderson and Robinson, 1946 [46], and Strickland and Parsons, 1972 [47]: a 50 ml sample of filtered tank water (200 μm nylon mesh) was mixed with 15 ml HCl (0.01 M) and pH was measured immediately. Total alkalinity was then calculated with the following formula:
With: TA—total alkalinity [mol * l-1], VHCl—volume HCl [l], cHCl—concentration HCl [mol * l-1], Vsample—volume of sample [l], H+—hydrogen activity (10-pH), γH+—hydrogen activity coefficient (here γH+ = 0.758).
The Microsoft Excel macro CO2sys [48] was used to calculate seawater carbonate chemistry, the constants after Mehrbach et al., 1973 [49] (as cited in CO2sys) refit by Dickson et al., 1987 [50] (as cited in CO2sys), were employed. Values of pH are presented on the free proton concentration scale (pHfree) [51]. Oxygen saturation (WTW Oxi 340, Xylem Analytics Germany, Weilheim, Germany) and salinity (WTW LF325, Xylem Analytics Germany, Weilheim, Germany) were measured once a week together with total alkalinity, from juvenile stage onwards (Table 1).
Larval period from 21.01.2016 (3 days post-hatch (dph)) until 04.03.2016 (46 dph) and 18.03.2016 (60 dph) for warm (W) and cold (C) life condition respectively; juvenile period until 24.10.2016 (280 dph) and 08.02.2017 (387 dph) for warm (W) and cold (C) life condition respectively. Values show mean ± SE overall replicate tanks per condition. Temperature (Temp.) and pH (free scale) were measured daily; salinity and total alkalinity (TA) and oxygen weekly; PCO2 was calculated with CO2sys. Inflow sea water (SW) parameters were measured in 2017 and 2018 and annual average values are shown. A, Ambient PCO2; Δ500, ambient + 500 μatm CO2; Δ1000, ambient + 1000 μatm CO2.
Animals.
Larvae were obtained from an aquaculture facility (Aquastream, Ploemeur-Lorient, France) at 2 days post-hatch (dph) (20.01.2016). Brood stock fish were caught in the sea off Morbihan, France. Four females (mean weight 4.5 kg) were crossed with ten males (mean weight 2.4 kg) which spawned naturally using photothermal manipulation. Conditions in the aquaculture facility during breeding were as followed: 8h45 light and 15h15 darkness, 13°C, 35 psu, pH 7.6. Spawning of eggs took place on 15.01.2016; larvae hatched on 18.01.2016 and were transported to our laboratory facilities on 20.01.2016.
Larval rearing was performed in a temperature-controlled room using black, 35-L tanks initially stocked with ca. 5000 larvae tank-1 in order to accommodate our sampling design. Allocation among experimental tanks took place at 3 dph (21.01.2016). During the following three days, the temperature for the warm condition was increased 1°C during the first day and 2°C during each of the following days. The PCO2 conditions were applied directly after fish allocation to the experimental treatments. Starting at 7 dph (mouth opening), larvae were fed with live brine shrimp (Artemia salina) nauplii, hatched from High HUFA Premium cysts (Catvis, AE's-Hertogenbosch, Netherlands). From 7 to 16 dph a concentration of ~120 nauplii per larva day-1 was delivered, after 16 dph concentration was ~800 nauplii per larva day-1. Until 33 dph, larvae were fed newly hatched (24-h old) nauplii. Older larvae were fed with nauplii enriched with cod liver oil and dry yeast for 24 h. The nauplii were transferred from their storage tanks (one per temperature condition) to the larval rearing tanks using peristaltic pumps at ad libitum feeding concentrations continuously during 6 hours. Larvae experienced a 15-h photoperiod (7:00 to 22:00), the light intensity progressively increased with larval age, from total darkness to 96 lux according to S1 Table. Median larval mortality (n = 18 tanks) was 30%, see S2 Table. Flow rate through the larval tanks was 0.18 L min-1, corresponding to a water exchange of 30% per hour, and organic compounds were removed from the tanks using a protein skimmer.
Fish were moved from the larval to juvenile tanks at 50 dph and 65 dph for fish reared in the warm and cold life conditions, respectively. Fish were counted, and all individuals from replicate tanks at one condition (temperature x PCO2) were pooled in the same tank for about three weeks and then randomly allocated to two 670-L treatment tanks (S1 Fig). Having only two replicates limited our ability to estimate variance but dividing the fish randomly removed any potential effect of larval rearing tank. Mortality of 24.8 to 43.4% occurred after loading to the juvenile tanks, likely due to handling stress (S3 Table). Juveniles were fed daily with commercial fish food (Neo Start) (Le Gouessant, Lamballe, France). Food was distributed ad libitum via automatic feeders. Size and amount was adjusted all through the juvenile rearing period, as recommended by the supplier. This amount was calculated according to the tank biomass, number of fish and temperature. Around 200 dph, for example, 90 g tank-1 day-1 and 160 g tank-1 day-1 of food pellets was distributed for the 15°C-reared fish (mean biomass ~ 6.9 kg) and the 20°C-reared fish (mean biomass ~ 4.2 kg), respectively. Photoperiod was adjusted each week to mimic natural conditions. Uneaten food and feces were siphoned from tanks each day (after pH measurements). Water flow rates maintained oxygen saturation levels above 90%.
Swimming tests
Larvae.
Swimming tests and morphological measurements were performed from 15 dph until the end of the larval stage i.e., when the caudal fin was completely formed. Swimming experiments were conducted on larvae from the six treatments (PCO2 x T) conditions. In each swimming trial, 3 randomly selected larvae from each replicate tank (9 larvae per treatment) were measured. Trials were conducted every 3 to 5 days, and 6 to 7 trials were conducted per treatment.
All measurements of Ucrit were performed on an individual larva swimming in one lane (24 x 3 x 2.5 cm) of a custom-made Brett-type flume [52]. Water was pumped (universal, EHEIM, Germany) from a header tank into the flume and velocity was adjusted using a valve calibrated to water flow rate. A laminar flow was made by passing the water through a honeycomb section (length = 10 cm) placed upstream and a mesh screen was located at the downstream end of the lane. Pilot trials with dye ensured that cross-sectional water velocity in the lane was homogenous. Treatment water conditions of the tested larva were maintained in the flume. Temperature was controlled using a cooling/heating system (Tr10, TECO, Italy) and PCO2 was maintained by injecting CO2 directly in the water of the header tank via a gas diffuser.
A larva was introduced into the swimming lane and was acclimated to the lowest water velocity for 5 min (Table 2). The water velocity was then increased at a rate of 0.5 BL s-1 every 3 min until the larva was unable to swim against the flow and drifted to the downstream mesh screen. At the beginning of each trial, the average length of the fish in each replicate tank was determined so that a standard velocity increment could be established (among all trials). Larvae swam in the middle of the chamber suggesting minimal or no wall effects. Once the test was completed, the larva was euthanized with an overdose of anesthetic (Tricaine methane-sulfonate MS222, PharmaQ Limited, Hampshire, United Kingdom, as prescribe by the European legislation to minimize fish stress), digitally photographed under a stereomicroscope (Leica MZ 16, Wetzlar, Germany) and stored in 4% formalin. Body length (BL), body height (BH) and tail flexion angle, were measured using ImageJ [53]. For preflexion larvae, BL was equal to the notochord length, which corresponded to the length from the tip of the snout to the end of the notochord. For flexion and postflexion larvae, BL was determined by measuring standard length, corresponding to the distance from the tip of the snout to the posterior end of the hypural plate. The notochord angle was also measured to estimate the size at which larvae reached the postflexion stage. Unfortunately, due to the small sample size of larvae < 10 mm in length (n = 45 for 15°C and n = 54 for 20°C), it was not possible to run a logistic regression to calculate the mean larval size at which 50% of the larvae completed flexion. Instead, we determined the size at which postflexion was first observed.
Abbreviations: BL, body length; C, cold treatment; W, warm treatment; A, Ambient PCO2; Δ500, ambient + 500 μatm CO2; Δ1000, ambient + 1000 μatm CO2.
Juveniles.
Juveniles from four treatments were tested: cold and warm temperatures at both ambient PCO2 (650 μatm) and RCP8.5 (Δ1000; 1700 μatm). When tested, juveniles in the cold and warm treatments were 242 and 233 dph and had a mean (± s.e.m) BL of 83.2(0.8) and 119.9(1.2) mm, respectively. For each treatment, thirty individuals (~15 per replicate tank) were tested. For each run, fish were tested in groups of 8 or 5 individuals, for 15°C and 20°C- reared fish, swimming in a 46 x 14 x 14 cm chamber of the Loligo Systems swim tunnel (Denmark). A streamline and homogenous flow was maintained using honeycomb section (confirmed by dye tests). Fish were tested at their treatment water conditions (see section 2.2.1). Water velocity was calibrated with a vane-wheelflow meter (HFA, Höntzsch GmbH, Germany), and controlled by an AC motor [54]. Acclimation time was 30 min (Table 2).
Fish were considered to be exhausted when they were up against the downstream grid for 5 consecutive seconds. Without interrupting the flow, these individuals were then removed from the tunnel, via a hatch located above the grid, anesthetized, measured (BL) and transferred to a recovery tank before being returned to their rearing tank where they were maintained for future research. For juveniles, BL is equivalent to standard length. The corresponding time and water velocity was recorded. The test was completed when all 5 fish were removed from the swim chamber.
Ucrit measurement.
The Ucrit (cm s-1) was calculated using the equation provided by Brett, 1964 [25], which adds the velocity of the most recently completed increment to the product of the incremental increase in velocity and the proportion of the final increment completed before fatigue. No correction for the solid blocking effect of the fish was considered, as the total cross-sectional area of the fish did not exceed 5% of that of the swimming chamber [55] (Table 2). Larvae which did not orientate themselves to start swimming during the acclimation period were removed from the test and dataset.
Statistical analysis
Differences in growth (in BL) across treatments were analyzed, in larvae, with a linear mixed model that included fixed effects (age, temperature, PCO2) and random effects (tank). Similarly, differences in BH were also tested with a linear mixed model (BL, temperature and PCO2 as fixed effects, tank as a random effect). When no effect of OA was observed, data were pooled across OA treatments and regressions were calculated on pooled data. In larvae, inter-individual variability in Ucrit was large and increased with body size, thus, we used quantile regression to estimate the maximum Ucrit–at-size (i.e. maximum swimming capacity) across treatments [56]. A backward model selection procedure was used to identify variables (e.g. size, temperature, PCO2) influencing maximum Ucrit starting with the most complex model (including all interactive effects among fixed factors) and ending with only significant factors. Models were fit to the upper 85 to 95% quantiles (in 1% steps) to ensure patterns were consistent, and treatment differences were tested with an ANOVA. Model residuals were tested for a potential effect of rearing tank with an ANOVA. All quantile regression analyses were done with the “quantreg” package in R. Normality and homoscedasticity of data were tested using Shapiro-Wilk and Levene tests, respectively. The effects of temperature and PCO2 levels on the percentage (%) of larvae with the ability / choice to swim was tested using two-way ANOVAs after logit transformation of the data. Larvae not swimming already at acclimation speed were excluded from the other analysis. The effect of PCO2 on juvenile Ucrit was tested using one-way ANOVA when assumption of normality (Shapiro-Wilk) and homoscedasticity (Levene test) were met (case for 20°C-reared fish after log10 transformation). ANOVA included PCO2 as a fixed effect and run as a random effects. When one or more of these assumptions was not met (for 15°C-reared fish), a generalized linear mixed-effects model (GLMM) was performed, including fixed effect (PCO2) and random effects (run). All statistical analyses were performed using R (version 3.4.1, R Core Team 2014).
Results
Larval growth and development
The mean (± SE) growth rate of sea bass larvae at ambient, Δ500, Δ1000 (650, 1150, 1700 μatm PCO2; pH 8.0, 7.8 and 7.6) was, 0.17 (0.01), 0.17 (0.01) and 0.16 (0.01) mm d-1, respectively, at 15°C and 0.21 (0.02), 0.21 (0.02) and 0.28 (0.03) mm d-1, respectively, at 20°C. Larval growth rate was significantly higher at 20°C compared to 15°C (p < 0.001), but there was no significant effect of PCO2 treatment (p = 0.120) (Fig 1). Larval BH increased linearly with BL (Fig 2) and this relationship was significantly impacted by temperature (p< 0.001) but not PCO2 (p = 0.805). For example, 10-mm larvae at 20°C had a 16% larger BH than those reared at 15°C (mean BH of 1.63 and 1.37 mm, respectively). These morphological differences were related to a faster development at the warmer temperature. At 15°C, notochord flexion was completed between 9.0(±0.3; mean±SE) and 10.8(±0.1), 8.7(±0.2) and 11.1(±0.5), and 9.8(±0.2) and 11.4(±0.2) mm BL at ambient, Δ500, and Δ1000 PCO2, respectively. At 20°C, notochord flexion was completed between 7.8(±0.1) and 9.6(±0.3), 7.9(±0.1) and 8.9(±0.1), and 7.0(±0.2) and 9.4(±0.1) mm BL in the ambient, Δ500 and Δ1000 PCO2 treatments, respectively. Unfortunately, the sample size of <12 mm BL larvae was too small to conduct further analyses.
Symbols and colors indicate the PCO2 treatment (A, Ambient PCO2; Δ500, ambient + 500 μatm CO2; Δ1000, ambient + 1000 μatm CO2). Regression (mean ± SE parameter estimates) are included: 15°C, (n = 180) BL = 017(0.01)*Age + 4.62(0.28), R2 = 0.80, p < 0.001; 20°C (n = 190) BL = 0.23(0.01)*Age + 3.44(0.36), R2 = 0.73, p < 0.001). For clarity, both regression lines are compared in subpanel C) (insert).
Symbols and colors indicate the PCO2 treatment (A, Ambient PCO2; Δ500, ambient + 500 μatm CO2; Δ1000, ambient + 1000 μatm CO2). Regression equations with mean (± SE) parameter estimates are: 15°C, (n = 160) BH = 0.22(0.00)*BL—0.83(0.06), R2 = 0.93, p < 0.001; 20°C (n = 190) BH = 0.28(0.01)*BL -1.14(0.07), R2 = 0.93, p < 0.001). For clarity, both regression lines are compared in subpanel C) (insert).
Swimming capacity of larvae
The Ucrit and inter-individual differences in Ucrit of sea bass larvae increased with increasing BL (Fig 3). The final quantile regression model (90th percentile) reported significant effects of BL, temperature and their interaction (S4 Table), but no significant effect of PCO2 (ANOVA; p = 0.94). There was no significant tank effect on the final model (ANOVA, p = 0.402). The Ucrit increased faster with BL in cold (15°C) versus warm (20°C) larvae and, at the end of the larval stage (16 mm BL) was 15.1 and 12.2 cm s-1 at 15 and 20°C, respectively.
Symbols and colors indicate PCO2 levels treatment (A, Ambient PCO2; Δ500, ambient + 500 μatm CO2; Δ1000, ambient + 1000 μatm CO2). The solid blue (cold) and dashed red (warm) lines shows the maximum Ucrit as defined by the 90th percentile (see text). For clarity, both lines are compared (see insert panel C).
In the 15°C treatment, the coefficient of variation (CV) of Ucrit increased from 35.6 to 57.2% between notochord flexion (BL = 9.0 ± 0.2 mm) and post-flexion (BL = 12.9 ± 0.3 mm) stages. At 20°C, the same life stages (BL = 9.1 ± 0.1 and 12.6 ± 0.2, respectively) had CVs of 46.9 to 73.1%. Some larvae were not able (or chose not) to swim beyond the minimum water velocity used during the acclimation period (0.8 cm s-1 for 5 min). The percentage of larvae not swimming was significantly higher at 20°C compared to 15°C (ANOVA, p = 0.007, Fig 4).
Swimming capacity of juveniles
The mean (± SE) Ucrit of juveniles reared in cold and warm conditions was 66.7 (0.7) and 79.2 (1.5) cm s-1, respectively. There was no significant effect of PCO2 treatment on Ucrit measured in cold (GLMM, p = 0.562) and warm conditions, respectively (ANOVA, p = 0.518). Although a group of 5 fish was tested in each trial, individuals became exhausted at different water velocities and our protocol allowed us to collect individual-level data. Large inter-individual differences were observed in Ucrit, particularly among juveniles reared at warmer temperatures. Body sizes of fish tested in the cold and warm conditions differed, precluding direct comparison between temperatures (Fig 5, S2 Fig).
The raw data are shown in S2 Fig.
Discussion
Recent studies have examined the impact of OA and OAW on early life stage of teleost growth and survival [16, 17]. Large gaps in knowledge, however, persist, particularly on how long-term exposure to OAW may influence the performance of fish larvae and young juveniles. We investigated the effect of OAW on growth, development and swimming ability of European sea bass throughout larval and early juvenile ontogeny. Our results suggest that temperature, but not elevated CO2, influenced growth, development and swimming performance. Our results also revealed a trade-off between swimming capacity and fast growth at warm temperatures, casting new light on the determinants of larval survival, dispersal, settlement pattern and recruitment [57, 58, 59].
Effect of ocean acidification
Juvenile and adult European sea bass inhabit shallow estuaries where physicochemical parameters such as temperature and PCO2 levels strongly fluctuate over short (diel) and longer (seasonal) time scales [60]. Thus, these life stages experience substantially more variation in water PCO2 (e.g. daily variation up to 1 pH unit [61]) compared to early life stages. Measurements made between 1992 and 2004 within inner estuaries of the Loire and Gironde Rivers were 452 to 2780 μatm and 612 to 2829 μatm, respectively [62]. On the other hand, sea bass larvae develop in offshore waters where PCO2 levels are generally stable (annual variation of <0.1 pH units [63]). Taking this into account, it was expected that increased levels of PCO2 might negatively affect the growth and/or swimming ability of larvae due to poorly developed acid-base regulation and the need to partition energy between homeostasis-related mechanisms and ecologically important activities.
Contrary to our expectations, the results of the present study indicated that life-long exposure to OA had no significant effect on the somatic growth rate and swimming capacity (Ucrit) of sea bass larvae. A previous study on sea bass larvae, using similar exposure, rearing protocols and OA levels (Ambient, Δ500 and Δ1000 (PCO2 = 650, 1150 and 1700 μatm)), also found no effect of OA on somatic growth at 19°C [49]. These findings are in accordance with those reported in a recent meta-analysis conducted by Cattano et al., 2018 [64], highlighting no overall effects of high CO2 on growth. A few studies, however, have reported impacts of OA on growth. For example, OA was associated with a higher growth rate in the clown anemonefish (Amphiprion percula) larvae [65] but slower growth rates were reported for gilthead seabream (Sparus aurata) [66] and decreased length-at-hatch for inland silversides (Menidia beryllina) [16].
Similar to our findings for growth rate, we also found no significant effect of OA on swimming capacity in sea bass larvae and juveniles. These results are in line with those in a number of other studies testing routine swimming characteristics [67, 68] or Ucrit [65, 69, 70] in marine fish larvae exposed to OA (Table 3). For example, Munday et al., 2009b [65] highlighted that swimming speed (Ucrit) of the clown anemonefish (Amphiprion percula) larvae was unaffected by future OA scenarios. Similarly, Bignami et al., 2014 [71] did not observe a significant effect of high acidification on the swimming performance (Ucrit and mean routine swimming speed) of larval cobia (Rachycentron canadum) and mahi-mahi (Coryphaena hippurus). Although most studies on marine fish early life stages suggest that the physiological attributes related to swimming performance are not substantially impacted by levels of PCO2 projected for the end of this century, some studies have reported impaired swimming duration and orientation [72] and reduced Ucrit as well as the average speed in response to a stimuli [73] (Table 3). Indeed, Ucrit was significantly lower, in juvenile yellowtail kingfish (Seriola lalandi) exposed to high (Δ500) PCO2. This reduction in Ucrit values may be linked to 1) reduced motivation to swim and/or 2) reduced physiological performance, two traits that may differ according to individual variation [73]. It is worth noting that high inter-individual variability in Ucrit was observed across all treatments (CVs of 57 and 73% at 15 and 20°C, respectively, for 9 to 13 mm BL). This large inter-individual variability, however, is generally observed in swimming studies in sea bass [74, 75, 76]. One hypothesis is that these large differences in swimming ability (e.g. maximum 10-fold in 15 mm larvae) also reflect variation in other behavioral traits such as boldness or willingness to swim. Using Ucrit as a performance test allowed us to compare swimming performance among treatments but also highlighted that results may not only reflect physiological limitation but also potentially inter-individual differences in behavior. Our results, together with these studies, highlight the species-specific nature of the responses to OA and the need for continued mechanistic (physiological-based) studies of potential impacts and the importance of publishing of studies that report no significant effects.
The fish used in the present study were the progeny of wild-caught adults acclimatized and maintained for about 5 years in the Aquastream aquaculture facility. These fish spawned at a pH of 7.6 which corresponds to our highest CO2 treatment. A number of studies have reported that parental exposure to an elevated level of CO2 may decreased the sensitivity of their progeny to OA [77, 78, 79]. In our study, therefore, the absence of differences in growth and swimming capacity observed among the three PCO2 treatments could be the result of transgenerational plasticity. According to Griffith and Gobler, 2017 [80], however, the exposure of parents to a stressor (such as low pH) can also increase the sensitivity of their offspring to that stressor and that transgenerational plasticity is highly species-specific.
Effect of temperature
Rearing at a warmer temperature (20 vs 15°C) resulted in shorter larval stage duration and accelerated growth rate. These results agree with previous studies suggesting that sea bass larvae fed ad libitum display increased growth as temperatures increase to 22°C [88, 89]. Temperatures supporting the maximum growth rate in sea bass larvae have not been estimated, but they are close to 22 to 24°C in adults ~35 cm [74].
The impacts of temperature on performance traits of developing larvae can be complex due to the potential for different thermal optima for different physiological activities (e.g. multiple performances—multiple optima (MPMO) hypothesis [23]) and/or changes in thermal tolerance/optima during ontogeny. Increases in Ucrit with increasing temperature has been observed in the larvae of a variety of marine fish, including both tropical and temperate species, e.g. red and black anemonefish (Amphiprion melanopus) [81], shorthorn sculpin (Myoxocephalus Scorpius) [8], yellowtail kingfish (Seriola lalandi) [73] and Atlantic herring (Clupea harengus) [90]. This increased swimming performance was linked to changes in morphology and developmental rates, as well as to a decrease in water viscosity at warmer temperatures, which is especially relevant for cold-temperate species [91]. An increase in Ucrit with OW, however, is not expected to be universal but to be context- and species-specific [86]. This is the case with sea bass at the two temperatures tested in the present study. Just prior to metamorphosis and for the same body size, larvae reared at 15°C displayed better swimming ability than larvae reared at 20°C.
Thermal optima for performance measures such as Ucrit may change during ontogeny. In larger juvenile and adult sea bass maximum scope for activity (MO2max) is between 22 and 24°C, and coincides with optimal temperature for Ucirt [74, 92]. Unfortunately no information is available on thermal performance curves for maximum scope for activity (MO2max) nor Ucrit in sea bass larvae, but this and previous studies suggest that it is below 20°C [30]. Temperature-dependent shifts in swimming ability may reflect temperature-dependent changes in developmental physiology affecting body shape and skeletal structure and/or muscle characteristics [93, 94, 95]. In our study, for the same BL, larvae were more streamlined at 15 compared to 20°C. A streamlined body shape generally enhanced steady swimming while greater BH induced more irregular and more complex locomotor patterns (e.g. drastic changes in velocity or direction, fast-starts or rapid turns) [94], the velocity of the 20°C-reared fish might then be affect by their rounder body shape. In addition, mitochondrial efficiency can decreased already at sublethal warm temperatures due to membrane associated problems (e.g. proton leak), with consequences for energy demanding processes like swimming. It might be that at 20°C, sea bass larvae are already exposed to a sublethal warm temperature likely to affect mitochondrial structure and thus performance. Although, in a companion study [96], mitochondrial capacities for aerobic ATP production of permeabilized heart fibers were increased in juvenile sea bass reared at the warm versus the cold life condition. Juveniles have generally higher thermal optima than larvae, and this would indicate a rearrangement of biochemical pathways during ontogeny towards evolutionary thermal optima (colder for larvae than for juveniles).
Trade-off between growth and swimming performance
Faster-growing individuals have better chances of survival by spending less time in life stages particularly vulnerable to mortality due to predators or starvation [97, 98, 99, 100]. Most fish, however, occur within habitats that are somewhat cooler than temperatures supporting maximum rates of growth [101]. This could be due to the need for a thermal-safety margin to survive sudden warming such as heat waves [102] or due to physiological trade-offs related to fast growth at relatively warm temperatures. For young larvae, rapid growth can lead to decrements in other fitness-related traits such as resistance to pathogens [103][91] longevity [104], energy storage [105], or locomotion [90]. In our study, sea bass larvae grew faster at 20°C but displayed poorer swimming ability than larvae reared at 15°C. The existence of a trade-off between growth and swimming ability has been reported in an increasing number of studies. Studies on fathead minnow (Pimephales promelas) and Atlantic silversides (Menidia menidia) reported a negative correlation between growth rate and locomotory performance [106, 107]. A negative correlation between growth (compensatory after food deprivation) and sprint speed was reported for juvenile sea bass [108, 109].
The mechanisms behind the trade-off between fast growth and swimming ability have been poorly investigated, although several hypotheses have been proposed. First, the trade-off is based on the principle of energy allocation [110]. Rapid growth mobilizes more aerobic capacity leaving less energy dissipating capacity for locomotion [111, 107]. Early developmental stages have a relatively low aerobic capacity with factorial metabolic scopes around 1.5 and, thus, may be especially vulnerable to energy allocation conflicts [111, 112]. Second, rapid growth in fish can influence muscle characteristics including changes in the cellular structure and composition of muscle fibers [113] leading to poor locomotor performance. This may contribute to their higher swimming performance. Third, the relationship (and potential trade-off) between growth and swimming performance may have a genetic basis and can, therefore, be population-specific [114]. It would be interesting to study additional populations that inhabit different thermal regimes to test if trade-offs differ due to local adaptation.
Conclusion
Our results indicate that, when fed ad libitum, European sea bass larvae are not impacted by projected future increases in levels of PCO2 thanks to the use of physiological mechanisms allowing them to maintain growth and swimming performance. Life-time rearing at +5°C above ambient influenced larval growth, development and swimming performance. Individuals reared at warmer condition grew faster but showed reduced swimming ability at metamorphosis. While growing faster reduced the duration of the larval phase, this reduction happened at the expense of swimming performance. Although the potential for local adaptation (adaptive capacity) is not known, our findings suggest that sea bass larvae of this Atlantic population may be negatively impacted by projected climate-driven warming (but not OA) under a business-as-usual (RCP8.5) scenario. These impacts appear to be due to physiological trade-offs between growth rate and Ucrit. The physiological mechanism (i.e. limits in aerobic capacity and/or changes in energy partitioning) is unclear. The results of this and several other studies demonstrate that physiologically optimal thermal windows are stage-specific and appear more narrow (with a colder optimum) in larvae compared to juveniles. Finally, our study adds to the growing number of studies reporting no effects of OA or OAW on the swimming performance of marine fish larvae. Our review of this literature, however, also indicates that the impact of OA and/or OAW is species-specific.
Supporting information
S1 Fig. Experimental design and tanks transfer from larvae to juvenile stage.
Abbreviation: dph, days post-hatch.
https://doi.org/10.1371/journal.pone.0221283.s001
(TIFF)
S2 Fig. Critical swimming speed (Ucrit, cm s-1) in juvenile European sea bass reared at A) cold condition (15°C; n = 73; 242 days post-hatch (dph)) and B) warm condition (20°C; n = 60; 233 dph).
Symbols and colors indicate by PCO2 levels treatment (A, Ambient PCO2; Δ1000, ambient + 1000 μatm CO2).
https://doi.org/10.1371/journal.pone.0221283.s002
(TIFF)
S1 Table. Light intensity during larval phase.
Abbreviation: dph, days post-hatch.
https://doi.org/10.1371/journal.pone.0221283.s003
(PDF)
S2 Table. Larval mortality (%) in the different larval rearing tanks.
Abbreviations: A, Ambient PCO2; Δ500, ambient + 500 μatm CO2; Δ1000, ambient + 1000 μatm CO2; T, temperature, Rep, replicate tank.
https://doi.org/10.1371/journal.pone.0221283.s004
(PDF)
S3 Table. Juvenile mortality in % in the different tanks.
Abbreviations: A, Ambient PCO2; Δ500, ambient + 500 μatm CO2; Δ1000, ambient + 1000 μatm CO2; T, temperature.
https://doi.org/10.1371/journal.pone.0221283.s005
(PDF)
S4 Table. Significance of terms for the 90% quantile regression model on the impact of water temperature and body length (BL) on the critical swimming speed (Ucrit) in European sea bass larvae.
Abbreviation: DF, degrees of freedom.
https://doi.org/10.1371/journal.pone.0221283.s006
(PDF)
Acknowledgments
The authors are grateful to all members of the Adaptation, Reproduction and Nutrition Lab from the Institut Français de Recherche et d’Exploitation de la Mer (IFREMER, Brest), past and present, who contributed to this work and to Aquastream company and to multiple reviewers for strengthening the focus of the manuscript.
References
- 1.
Meehl, GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT, Gregory JM, et al. (2007). Global Climate Projections. In: Solomon D, Qin M, Manning Z, Chen M, Marquis KB, Averyt M, Tignor HL. Miller (eds.), Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
- 2.
Intergovernmental Panel on Climate Change. Synthesis Report. In: Pachauri RK, Meyer LA (eds) Core Writing Team. Contribution of working groups I, II and III to the fifth assessment report of the intergovernmental panel on climate change. 2014; IPCC, Geneva, Switzerland, p 151.
- 3. Hansen J, Sato M, Ruedy R, Lo K, Lea DW, Medina-Elizade M. Global temperature change. PNAS. 26. September 2006;103(39):14288–93. pmid:17001018
- 4. Caldeira K, Wickett ME. Ocean model predictions of chemistry changes from carbon dioxide emissions to the atmosphere and ocean. Journal of Geophysical Research—Oceans.
- 5. Kroeker KJ, Kordas RL, Crim R, Hendriks IE, Ramajo L, Singh GS, et al. Impacts of ocean acidification on marine organisms: quantifying sensitivities and interaction with warming. Glob Chang Biol. Juni 2013;19(6):1884–96. pmid:23505245
- 6. McCulloch M, Falter J, Trotter J, Montagna P. Coral resilience to ocean acidification and global warming through pH up-regulation. Nature Climate Change. 2012;2:623–627.
- 7. Hollowed A, Barange M, Beamish RJ, Brander K, Drinkwater K, Foreman M, et al. Projected impacts of climate change on marine fish and fisheries. ICES J Mar Sci.2013;70:1023–1037.
- 8. Byrne M. Impact of ocean warming and ocean acidification on marine invertebrate life history stages: vulnerabilities and potential for persistence in a changing ocean. Oceanography and Marine Biology: An Annual Review. 2011;49:1–42.
- 9. Mostofa KMG, Liu C-Q, Zhai W, Minella M, Vione D, Gao K, et al. Reviews and Syntheses: Ocean acidification and its potential impacts on marine ecosystems. Biogeosciences. 23. March 2016;13(6):1767–86.
- 10. Catalan IA, Auch D, Kamermans P, Morales-Nin B, Angelopoulos NV, Reglero P, et al. Critically examining the knowledge base required to mechanistically project climate impacts: A Case Study of Europe’s fish and shellfish. Fish and Fisheries. In Press
- 11.
Brauner CJ, Baker DW. Patterns of Acid–Base Regulation During Exposure to Hypercarbia in Fishes, in: Glass M.L., Wood S.C. (ed), Cardio-Respiratory Control in Vertebrates. Springer Berlin Heidelberg. 2009;43–63.
- 12. Cameron JN, Iwama GK. Compensation of progressive hypercapnia in channel catfish and blue crabs. J Exp Biol. 1987;57:673–680.
- 13. Heuer RM, Grosell M. Physiological impacts of elevated carbon dioxide and ocean acidification on fish. Am J Physiol Regul Integr Comp Physiol. 1. November 2014;307(9):R1061–1084. pmid:25163920
- 14. Pörtner HO, Peck MA. Climate change effects on fishes and fisheries: towards a cause-and-effect understanding. J Fish Biol. November 2010;77(8):1745–79. pmid:21078088
- 15. Hurst TP, Fernandez ER, Mathis JT. Effects of ocean acidification on hatch size and larval growth of walleye pollock (Theragra chalcogramma). ICES J Mar Sci. 2013;70:812–822.
- 16. Baumann H, Talmage SC, Gobler CJ. Reduced early life growth and survival in a fish in direct response to increased carbon dioxide. Nature Climate Change. 2012;2:38–41.
- 17. Flynn EE, Bjelde BE, Miller NA, Todgham AE. Ocean acidification exerts negative effects during warming conditions in a developing Antarctic fish. Conserv Physiol. 2015;3(1):cov033. pmid:27293718
- 18. Sswat M, Stiasny MH, Jutfelt F, Riebesell U, Clemmesen C. Growth performance and survival of larval Atlantic herring, under the combined effects of elevated temperatures and CO2. PLOS ONE. 25. Januar 2018;13(1):e0191947. pmid:29370273
- 19. Munday PL, Leis JM, Lough JM, Paris CB, Kingsford MJ, Berumen ML, et al. Climate change and coral reef connectivity. Coral Reefs. 1. Juni 2009;28(2):379–95.
- 20. Pörtner HO, Farrell AP. ECOLOGY: Physiology and Climate Change. Science. 2008;322:690–692. pmid:18974339
- 21. Hofmann GE, Todgham AE. Living in the now: physiological mechanisms to tolerate a rapidly changing environment. Annu Rev Physiol. 2010;72:127–45. pmid:20148670
- 22. Leo E, Kunz KL, Schmidt M, Storch D, Pörtner H-O, Mark FC. Mitochondrial acclimation potential to ocean acidification and warming of Polar cod (Boreogadus saida) and Atlantic cod (Gadus morhua). Front Zool. 2017;14:21. pmid:28416963
- 23. Clark TD, Sandblom E, Jutfelt F. Aerobic scope measurements of fishes in an era of climate change: respirometry, relevance and recommendations. J Exp Biol. 2013;216(15):2771–2782.
- 24. Leis JM. Are larvae of demersal fishes plankton or nekton? Adv Mar Biol. 2006;51:57–141. pmid:16905426
- 25. Brett JR. The respiratory metabolism and swimming performance of young sockeye salmon. J Fish Res Board Can. 1964;21:1183–226.
- 26.
Fisher R, Leis JM. Swimming speeds in larval fishes: from escaping predators to the potential for long distance migration. In: Domenici P, Kapoor BG (eds) Fish Locomotion: An Eco-ethological Perspective. Enfield, NH: Science Publishers. 2009;333–373.
- 27. Beamish F. Swimming Capacity. Locomotion. 1. Januar 1978;101–87.
- 28. Torrecillas S, Makol A, Caballero MJ, Montero D, Robaina L, Real F, et al. Immune stimulation and improved infection resistance in European sea bass (Dicentrarchus labrax) fed mannan oligosaccharides. Fish Shellfish Immunol. November 2007;23(5):969– pmid:17766145
- 29. Claireaux G, Lefrançois C. Linking environmental variability and fish performance: integration through the concept of scope for activity. Philos Trans R Soc Lond B Biol Sci. 29. November 2007;362(1487):2031–41. pmid:17472923
- 30. Leis JM, Balma P, Ricoux R, Galzin R. Ontogeny of swimming ability in the European Sea Bass, Dicentrarchus labrax (L.) (Teleostei: Moronidae). Marine Biology Research. 2012; 8(3):265–72.
- 31. Pope EC, Ellis RP, Scolamacchia M, Scolding JW, Keay A, Chingombe P, et al. European sea bass, Dicentrarchus labrax, in a changing ocean. Biogeosciences. 2014; 11(9):2519–2530.
- 32. Duteil M, Pope EC, Pérez-Escudero A, Polavieja GG, Fürtbauer I, Brown MR, et al. European sea bass show behavioural resilience to near-future ocean acidification. R Soc Open Sci.2016;3:160656. pmid:28018656
- 33. Salt LA, Beaumont L, Blain S, Bucciarelli E, Grossteffan E, Guillot A, et al. The annual and seasonal variability of the carbonate system in the Bay of Brest (Northwest Atlantic Shelf, 2008–2014). Marine Chemistry. 2016; 187:1–15.
- 34. Doney SC, Fabry VJ, Feely RA, Kleypas JA. Ocean Acidification: The Other CO2 Problem. Annu Rev Mar Sci. 1. Januar 2009;1(1):169–92.
- 35. Pickett GD, Pawson MG. Biology and ecology. Sea Bass. Biology, Exploitation and Conservation. 1994;9–146.
- 36. Lonthair J, Ern R, Esbaugh AJ. The early life stages of an estuarine fish, the red drum (Sciaenops ocellatus), are tolerant to high pCO2. ICES Journal of Marine Science. 2017;74(4):1042–1050.
- 37. Wallace RB, Baumann H, Grear JS, Aller RC, Gobler CJ. Coastal ocean acidification: The other eutrophication problem. Estuarine, Coastal and Shelf Science. 2014;148:1–13.
- 38. Melzner F, Thomsen J, Koeve W, Oschlies A, Gutowska MA, Bange HW, et al. Future ocean acidification will be amplified by hypoxia in coastal habitats. Marine Biology. 2013;160(8):1875–1888.
- 39. Frankignoulle M, Abril G, Borges A, Bourge I, Canon C, Delille B, et al. Carbon dioxide emission from European estuaries. Science. 1998;282(5388):434–436. pmid:9774261
- 40. Chauvaud L, Donval A, Thouzeau G, Paulet YM, Nézan E. Variations in food intake of Pecten maximus (L.) from the Bay of Brest (France): Influence of environmental factors and phytoplankton species composition. Comptes Rendus de l'Academie des Sciences-Series III-Sciences de la Vie. 2001;324(8):743–755.
- 41. de Pontual H, Lalire M, Fablet R, Laspougeas C, Garren F, Martin S, et al. New insights into behavioural ecology of European seabass off the West Coast of France: implications at local and population scales. ICES Journal of Marine Science. 2018;76(2): 501–515.
- 42.
Intergovernmental Panel on Climate Change. Synthesis Report. In: Pachauri RK, Meyer LA (eds) Core Writing Team. Contribution of working groups I, II and III to the fourth assessment report of the intergovernmental panel on climate change. 2007; IPCC, Cambridge (UK), Cambridge University Press.
- 43. Vinagre C, Madeira D, Narciso L, Cabral H, Diniz M. Impact of climate change on coastal versus estuarine nursery areas: cellular and whole-animal indicators in juvenile seabass Dicentrarchus labrax. Marine Ecology Progress Series. 1. September 2012;464:237–43.
- 44. Anastasiadi D, Díaz N, Piferrer F. Small ocean temperature increases elicit stage dependent changes in DNA methylation and gene expression in a fish, the European sea bass. Scientific Reports. 2017;7(1), 12401. pmid:28963513
- 45. Cornwall CE, Hurd CL. Experimental design in ocean acidification research: problems and solutions. ICES J Mar Sci. 1. March 2016;73(3):572–81.
- 46. Anderson DH, Robinson RJ. Rapid Electrometric Determination of Alkalinity of Sea Water Using Glass Electrode. Ind Eng Chem Anal Ed. 1946;18: 767–769
- 47.
Strickland JDH, Parsons TR. A Practical Handbook of Seawater Analysis. 2nd Edition, Fisheries Research Board of Canada Bulletin, No. 167, Fisheries Research Board of Canada. 1972;310.
- 48.
Lewis E, Wallace DWR. Program Developed for CO2 System Calculations, Oak Ridge, Tennessee.: s.n. 1998
- 49.
Mehrbach C, Culberson CH, Hawley JE, Pytkowicz RM. Measurement of the apparent dissociation constants of carbonic acid in seawater at atmospheric pressure: Limnology Oceanography, 1973 v. 18.
- 50. Dickson AG, Millero FJ. A comparison of the equilibrium constants for the dissociation of carbonic acid in seawater media. Deep Sea Research Part A, Oceanographic Research Papers. 1987;34(10):1733–43.
- 51. Waters JF, Millero FJ. The free proton concentration scale for seawater pH. Marine Chemistry. Februar 2013;149:8–22.
- 52. Stobutzki I, Bellwood D. Sustained swimming abilities of the late pelagic stages of coral reef fishes. Mar Ecol Prog Ser. 1997;149:35–41.
- 53.
Rasband WS. ImageJ. U. S. National Institutes of Health, Bethesda, MD, USA, http://imagej.nih.gov/ij/, 1997–2014
- 54. Santo VD, Kenaley CP, Lauder GV. High postural costs and anaerobic metabolism during swimming support the hypothesis of a U-shaped metabolism–speed curve in fishes. PNAS. 5. December 2017;114(49):13048–53. pmid:29158392
- 55.
Bell WH, Terhune LDB. Water tunnel design for Fisheries research. Fisheries Research Board of Canada. Technical Report 1970.
- 56. Cade BS, Noon BR. A gentle introduction to quantile regression for ecologists. Frontiers in Ecology and the Environment. 2003;1:412–420.
- 57.
Leis JM, McCormick MI. CHAPTER 8—The Biology, Behavior, and Ecology of the Pelagic, Larval Stage of Coral Reef Fishes. In: Sale PF, Herausgeber. Coral Reef Fishes. San Diego: Academic Press; 2002;171–99.
- 58. Sponaugle S, Cowen RK, Shanks A, Morgan SG, Leis JM, Pineda J, et al. Predicting self-recruitment in marine populations: biophysical correlates and mechanisms. Bull Mar Sci. 2002;70(1): 341–75.
- 59. Fisher R. Swimming speeds of larval coral reef fishes: impacts on self-recruitment and dispersal. Marine Ecology Progress Series. 19. Januar 2005;285:223–32.
- 60. Ringwood AH, Keppler CJ. Water quality variation and clam growth: Is pH really a non-issue in estuaries? Estuaries. 1. October 2002;25(5):901–7.
- 61. Hofmann GE, Smith JE, Johnson KS, Send U, Levin LA, Micheli F, et al. High-Frequency Dynamics of Ocean pH: A Multi-Ecosystem Comparison. PLOS ONE. 19. December 2011;6(12):e28983. pmid:22205986
- 62. Borges AV, Schiettecatte L-S, Abril G, Delille B, Gazeau F. Carbon dioxide in European coastal waters. Estuarine, Coastal and Shelf Science. 1. November 2006;70(3):375–87.
- 63. Doney SC, Fabry VJ, Feely RA, Kleypas JA. Ocean Acidification: The Other CO2 Problem. Annu Rev Mar Sci. 1. Januar 2009;1(1):169–92.
- 64. Cattano C, Claudet J, Domenici P, Milazzo M. Living in a high CO2 world: a global meta-analysis shows multiple trait-mediated fish responses to ocean acidification. Ecological Monographs. 2018;88(3), 320–335.
- 65. Munday PL, Donelson JM, Dixson DL, Endo GGK. Effects of ocean acidification on the early life history of a tropical marine fish. Proc Biol Sci. 22. September 2009b; 276(1671):3275–83.
- 66. Pimentel MS, Faleiro F, Marques T, Bispo R, Dionísio G, Faria AM, et al. Foraging behaviour, swimming performance and malformations of early stages of commercially important fishes under ocean acidification and warming. Climatic Change. August 2016;137(3–4):495–509.
- 67. Maneja RH, Frommel AY, Browman HI, Clemmesen C, Geffen AJ, Folkvord A, et al. The swimming kinematics of larval Atlantic cod, Gadus morhua L., are resilient to elevated seawater pCO2. Mar Biol. 1. August 2013;160(8):1963–72.
- 68. Maneja RH, Frommel AY, Browman HI, Geffen AJ, Folkvord A, Piatkowski U, et al. The swimming kinematics and foraging behavior of larval Atlantic herring (Clupea harengus L.) are unaffected by elevated pCO2. Journal of Experimental Marine Biology and Ecology. 1. Mai 2015;466:42–8.
- 69. Melzner F, Göbel S, Langenbuch M, Gutowska MA, Pörtner H-O, Lucassen M. Swimming performance in Atlantic Cod (Gadus morhua) following long-term (4–12 months) acclimation to elevated seawater P(CO2). Aquat Toxicol. 2. April 2009;92(1):30–7. pmid:19223084
- 70. Silva CSE, Novais SC, Lemos MFL, Mendes S, Oliveira AP, Gonçalves EJ, et al. Effects of ocean acidification on the swimming ability, development and biochemical responses of sand smelt larvae. Sci Total Environ. 1. September 2016;563–564:89–98. pmid:27135570
- 71. Bignami S, Sponaugle S, Cowen R. Effects of ocean acidification on the larvae of a high-value pelagic fisheries species, mahi-mahi Coryphaena hippurus. Aquat Biol. 2014;21:249–260.
- 72. Pimentel M, Pegado M, Repolho T, Rosa R. Impact of ocean acidification in the metabolism and swimming behavior of the dolphinfish (Coryphaena hippurus) early larvae. Mar Biol. 2014; 161(3):725–729.
- 73. Watson S-A, Allan BJM, McQueen DE, Nicol S, Parsons DM, Pether SMJ, et al. Ocean warming has a greater effect than acidification on the early life history development and swimming performance of a large circumglobal pelagic fish. Glob Chang Biol. 22. Mai 2018.
- 74. Claireaux G, Lagardère J-P. Influence of temperature, oxygen and salinity on the metabolism of the European sea bass. Journal of Sea Research. 1. September 1999;42:157–68.
- 75. Nelson JA, Claireaux G. Sprint swimming performance of juvenile European sea bass. Transactions of the American Fisheries Society. 2005;134(5):1274–1284.
- 76. Claireaux G, Handelsman C, Standen E, Nelson JA. Thermal and Temporal Stability of Swimming Performance in the European Sea Bass. Physiological and Biochemical Zoology: Ecological and Evolutionary Approaches. 2007;80(2):186–96.
- 77. Munday PL. Transgenerational acclimation of fishes to climate change and ocean acidification. 2014; F1000prime reports, 6.
- 78. Murray C, Baumann H. You Better Repeat It: Complex CO2× Temperature Effects in Atlantic Silverside Offspring Revealed by Serial Experimentation. Diversity. 2018;10(3), 69.
- 79. Jarrold MD, Munday PL. Diel CO2 cycles and parental effects have similar benefits to growth of a coral reef fish under ocean acidification. Biology Letters. 2019;15(2), 20180724. pmid:30958130
- 80. Griffith AW, Gobler CJ. Transgenerational exposure of North Atlantic bivalves to ocean acidification renders offspring more vulnerable to low pH and additional stressors. Scientific reports. 2017;7(1), 11394. pmid:28900271
- 81. Green BS, Fisher R. Temperature influences swimming speed, growth and larval duration in coral reef fish larvae. Journal of Experimental Marine Biology and Ecology. 10. Februar 2004;299(1):115–32.
- 82. Nowicki JP, Miller GM, Munday PL. Interactive effects of elevated temperature and CO2 on foraging behavior of juvenile coral reef fish. Journal of Experimental Marine Biology and Ecology. 2012;412:46–51.
- 83. Bignami S, Sponaugle S, Cowen RK. Response to ocean acidification in larvae of a large tropical marine fish, Rachycentron canadum. Glob Chang Biol. April 2013;19(4):996–1006. pmid:23504878
- 84. Pimentel M, Pegado M, Repolho T, Rosa R. Impact of ocean acidification in the metabolism and swimming behavior of the dolphinfish (Coryphaena hippurus) early larvae. Mar Biol. 2014;161(3):725–729.
- 85. Jiahuan R, Wenhao S, Xiaofan G, Wei S, Shanjie Z, Maolong H, et al. Ocean Acidification Impairs Foraging Behavior by Interfering With Olfactory Neural Signal Transduction in Black Sea Bream, Acanthopagrus schlegelii. Frontiers in physiology. 2018;9.
- 86. Lopes AF, Morais P, Pimentel M, Rosa R, Munday PL, Gonçalves EJ, et al. Behavioural lateralization and shoaling cohesion of fish larvae altered under ocean acidification. Mar Biol. 2. November 2016;163(12):243.
- 87. Guan L, Snelgrove PVR, Gamperl AK. Ontogenetic changes in the critical swimming speed of Gadus morhua (Atlantic cod) and Myoxocephalus scorpius (shorthorn sculpin) larvae and the role of temperature. Journal of Experimental Marine Biology and Ecology. 28. Mai 2008;360(1):31–8.
- 88. Koumoundouros G, Divanach P, Anezaki L, Kentouri M. Temperature-induced ontogenetic plasticity in sea bass (Dicentrarchus labrax). Marine Biology. 1. November 2001;139(5):817–30.
- 89. Vagner M, Zambonino Infante JL, Robin JH, Person-Le Ruyet J. Is it possible to influence European sea bass (Dicentrarchus labrax) juvenile metabolism by a nutritional conditioning during larval stage? Aquaculture. 3. Juli 2007;267(1):165–74.
- 90. Moyano M, Illing B, Peschutter P, Huebert KB, Peck MA. Thermal impacts on the growth, development and ontogeny of critical swimming speed in Atlantic herring larvae. Comp Biochem Physiol, Part A Mol Integr Physiol. Juli 2016;197:23–34. pmid:26945594
- 91. Fuiman L, Batty R. What a drag it is getting cold: partitioning the physical and physiological effects of temperature on fish swimming. Journal of Experimental Biology. 1997;200(12), 1745–1755.
- 92. Koumoundouros G, Sfakianakis DG, Divanach P, Kentouri M. Effect of temperature on swimming performance of sea bass juveniles. Journal of Fish Biology. 2002;60(4):923–32.
- 93. Johnston IA, Dunn J. Temperature acclimation and metabolism in ectotherms with particular reference to teleost fish. Symp Soc Exp Biol. 1987;41:67–93. pmid:3332497
- 94.
Langerhans RB, Reznick DN. Ecology and evolution of swimming performance in fishes: predicting evolution with biomechanics. Fish locomotion: an eco-ethological perspective. 2010;200–248
- 95. Sfakianakis DG, Papadakis IE, Papadaki M, Sigelaki I, Mylonas CC. Influence of rearing temperature during early life on sex differentiation, haemal lordosis and subsequent growth during the whole production cycle in European sea bass Dicentrarchus labrax. Aquaculture. 1. November 2013;412–413:179–85.
- 96.
Howald S, Cominassi L, LeBayon N, Claireaux G, Mark FC. Good news for invasive fish species? Future ocean conditions may be beneficial for the northernmost population of European sea bass (Dicentrarchus labrax). 2019; In Prep.
- 97. Anderson JT. A review of size dependent survival during pre-recruit stages of fishes in relation to recruitment. J Northwest Atl Fish Sci. 1988;8: 55–66.
- 98.
Bailey KM, Houde ED. Predation on Eggs and Larvae of Marine Fishes and the Recruitment Problem. In: Blaxter JHS, Southward AJ, Herausgeber. Advances in Marine Biology. Academic Press; 1989;26:1–83.
- 99. Pepin P. Effect of temperature and size on development, mortality, and survival rates of the pelagic early life history stages of marine fish. Can J Fish Aquat Sci 1991; 48:503–518. http://dx.doi.org/10.1139/f91-065
- 100.
Ferron A, Leggett WC. An Appraisal of Condition Measures for Marine Fish Larvae**Contribution to the research programs of GIROQ (Groupe Interuniversitaire de Recherches Océanographiques du Québec) and OPEN (Ocean Production Enhancement Network). In: Blaxter JHS, Southward AJ, Herausgeber. Advances in Marine Biology. Academic Press; 1994; 30:217–303.
- 101. Sandblom E, Clark TD, Gräns A, Ekström A, Brijs J, Sundström LF, et al. Physiological constraints to climate warming in fish follow principles of plastic floors and concrete ceilings. Nat Commun. 17 2016;7:11447.
- 102. Sunday JM, Bates AE, Kearney MR, Colwell RK, Dulvy NK, Longino JT, et al. Thermal-safety margins and the necessity of thermoregulatory behavior across latitude and elevation. Proc Natl Acad Sci U S A. 15. April 2014;111(15):5610–5. pmid:24616528
- 103. Kirpichnikov VS, Ilyasov JI, Shart LA, Vikhman AA, Ganchenko MV, Ostashevsky AL, et al. Selection of Krasnodar common carp (Cyprinus carpio L.) for resistance to dropsy: principal results and prospects. Aquaculture. 1. April 1993;111(1):7–20.
- 104. Jonsson B, L’Abée-Lund JH, Heggberget TG, Jensen AJ, Johnsen BO, Næsje TF, et al. Longevity, Body Size, and Growth in Anadromous Brown Trout (Salmo trutta). Can J Fish Aquat Sci. 1. October 1991;48(10):1838–45.
- 105. Forsman A, Lindell LE. Trade-Off between growth and energy storage in male Vipera berus (L.) under different prey densities. Functional Ecology. 1991;5(6):717–23.
- 106. Kolok AS, Oris JT. The relationship between specific growth rate and swimming performance in male fathead minnows (Pimephales promelas). Can J Zool. 1. November 1995;73(11):2165–7.
- 107. Billerbeck JM, Lankford TE, Conover DO. Evolution of intrinsic growth and energy acquisition rates. I. Trade-Offs with swimming Performance in Menidia menidia. Evolution. 2001;55(9):1863–72. pmid:11681741
- 108. Handelsman C, Claireaux G, Nelson J. Swimming Ability and Ecological Performance of Cultured and Wild European Sea Bass (Dicentrarchus labrax) in Coastal Tidal Ponds. Physiol Biochem Zool. 2010;83:435–45. pmid:20345243
- 109. Killen SS, Marras S, McKenzie DJ. Fast growers sprint slower: effects of food deprivation and re-feeding on sprint swimming performance in individual juvenile European sea bass. Journal of Experimental Biology. 15. March 2014;217(6):859–65.
- 110.
Sibly RM, Calow P. Physiological Ecology of Animals: An Evolutionary Approach Blackwell Scientific. 1986.
- 111.
Conover DO, Schultz ET. Natural selection and the evolution of growth rate in the early life history: what are the trade-offs? In: Chambers RC, Trippel EA, Herausgeber. Early Life History and Recruitment in Fish Populations, Chapman & Hall Fish and Fisheries Series. Dordrecht: Springer Netherlands; 1997; S. 305–32.
- 112. Killen SS, Costa I, Brown JA, Gamperl AK. Little left in the tank: metabolic scaling in marine teleosts and its implications for aerobic scope. Proc R Soc Lond Biol. 2007;274(1608):431–438.
- 113. Johnston IA, Manthri S, Alderson R, Campbell P, Mitchell D, Whyte D, et al. Effects of dietary protein level on muscle cellularity and flesh quality in Atlantic salmon with particular reference to gaping. Aquac. 2002;210:259–283.
- 114. Lankford TE, Billerbeck JM, Conover DO. Evolution of intrinsic growth and energy acquisition rates. Ii. Trade-Offs with vulnerability to predation in Menidia menidia. Evolution. 2001;55(9):1873–81. pmid:11681742