1 Schoepf et al.: Annual coral bleaching and the long-term recovery capacity of coral 2 3 Supplementary material 4 5 1. Additional methods 6 7 (a) Lipid, protein, and carbohydrate 8 9 For all energy reserve measurements, only branch tips or samples with a growing 10 edge were used. Soluble lipids were extracted from a whole, ground coral sample 11 (skeleton + animal tissue + algal endosymbiont) in a 2:1 chloroform:methanol solution 12 for 1 hour [1, 2], washed in 0.88% KCl followed by 100% chloroform and another wash 13 with 0.88% KCl. The extract was dried to constant weight under a stream of pure 14 nitrogen (UPH grade 5.0) and standardized to the ash-free dry weight. 15 Animal soluble protein and carbohydrate were extracted from grinding a whole 16 second branch tip of the same fragment [2]. Briefly, Milli-Q water was added to the 17 ground coral sample and the resulting slurry was sonicated (5 min) and then centrifuged 18 twice (5000 rpm, 10 min) to separate the animal tissue from the skeleton and 19 endosymbiotic algae. Protein and carbohydrate was extracted from the animal tissue only. 20 One subsample of this animal tissue slurry was used for protein extraction using the 21 bicinchoninic acid method [3] with bovine serum albumin as a standard (Pierce BCA 22 Protein Assay Kit). A second subsample was used for carbohydrate quantification using 23 the phenol-sulfuric acid method [4] with glucose as a standard. Soluble animal protein 24 and carbohydrate concentrations were standardized to the ash-free dry weight. 25 The energetic content of lipid, protein, and carbohydrates is better assessed from an 26 energetic point of view [5], as specific enthalpies of combustion differ significantly 27 among energy reserve pools: -39.5 kJ g−1 for lipid, −23.9 kJ g−1 for protein, and −17.5 kJ 28 g−1 for carbohydrate [6]. Nevertheless, lipid, protein, and carbohydrate values are also 1 29 shown for each species in g per g ash-free dry weight in Figure S4 to facilitate 30 comparison with other studies. 31 32 (b) Statistical analyses 33 34 Multivariate analysis of similarity (ANOSIM), SIMPER and non-metric 35 multidimensional scaling (NMDS) were computed using Euclidean distances. All 36 variables were normalised. For ANOSIMs, 999 permutations were used. In addition to 37 the significance level, R-values give an absolute measure of separation for all groups. R- 38 values range from 0 (indistinguishable) to 1 (all compositional dissimilarities between 39 groups are larger than any dissimilarity among samples within groups). R-values >0.75 40 are interpreted as “well-separated groups”, R-values >0.5 as “overlapping but clearly 41 different groups”, R-values >0.25 as “strongly overlapping groups”, and R-values <0.25 42 as “barely separable groups” [7]. Since both ANOSIM and NMDS are based on rank 43 dissimilarities, they are non-parametric, complementary statistical procedures. For 44 NMDS, two dimensions were used for the ordination and a stress value of 0.2 was 45 obtained. Multivariate analyses were performed using PRIMER software, version 6.1.16. 46 Univariate three-way ANOVAs were run for each species separately. 47 Temperature was fixed with two levels (control and treatment), time was fixed with three 48 levels (0, 1.5, and 11 months), and genotype was a random factor with 9 levels. The 49 purpose of including genotype in the ANOVA model was to determine if any single 50 genotype was systematically different from all others for a given variable. In cases where 51 significant genotype effects were detected, Tukey post hoc tests revealed that the 52 distribution of the genotype average values completely overlapped such that no one 53 genotype was completely different from all of the others. As such, we concluded that the 54 selected colonies represented the natural variation in the population well as no single or 55 group of genotypes were consistently different from the others. This is reassuring since 56 full exploration of any genotype interaction terms was not possible because genotype was 2 57 not replicated within cells. Thus, interaction terms involving genotype were not included 58 in the ANOVAs. 59 For chlorophyll a concentration and calcification rates, values at 0 and 1.5 months 60 on the reef were taken from Schoepf et al. [8] and Grottoli et al. [9], respectively, and 61 combined with the values at 11 months on the reef to run the full ANOVA model. All 62 data were tested for normality using Shapiro-Wilk’s test. Outliers defined after Hoaglin et 63 al. [10] were removed from the entire data set when transformations alone did not 64 achieve normality. Homogeneity of variance was assessed with plots of expected versus 65 residual values. Post hoc slice tests [e.g., tests of simple effects, 11] determined if the 66 control and treatment averages significantly differed within each time interval and 67 species. 68 All 9 fragments for each species, treatment and recovery interval were collected 69 from each parent colony at the beginning of the study and had their own history from that 70 point forward. They were thus considered independent fragments, though with genetic 71 commonality with their respective parent colonies. ANOVAs without repeated-measures 72 were therefore regarded as the most appropriate statistical method. Since all fragments 73 were exposed to identical conditions except temperature during the single and repeat 74 bleaching treatment, any differences in the observed responses were due to temperature 75 effects alone and independent of seasonal variation. Bonferroni corrections were not 76 applied due to increased likelihood of false negatives [12, 13]. P-values ≤0.05 were 77 considered significant. Univariate analyses were performed using SAS software, Version 78 9.2 of the SAS System for Windows. 79 80 2. Additional results 81 82 (a) Health status 83 84 85 At the start of the repeat bleaching treatment, all coral fragments of all species appeared healthy and non-bleached (i.e., dark brown or dark yellow in colour). After 17 3 86 days of exposure to elevated seawater temperature (= 0 months on the reef), 43%, 100%, 87 and 44% of treatment P. divaricata, P. astreoides, and O. faveolata, respectively, were 88 partially bleached (Fig. S4). Only one fragment of O. faveolata died during the repeat 89 bleaching treatment (Fig. S4C) but no mortality occurred in the other two species. After 90 1.5 months on the reef, the percentage of visibly bleached corals decreased to 22%, 84%, 91 and 6% in P. divaricata, P. astreoides, and O. faveolata, respectively, and the percentage 92 of dead fragments and/or fragments with partial mortality increased in both P. astreoides 93 and O. faveolata (Fig. S4). Except for P. astreoides, no coral fragments remained visibly 94 bleached after 11 months on the reef, but 14%, 33%, and 63% of all P. divaricata, P. 95 astreoides, and O. faveolata, respectively, showed partial mortality (Fig. S4). 96 97 (b) Tissue isotopes following repeat bleaching 98 99 P. divaricata. δ13Ch and δ13Ce did not differ between treatment and control corals 100 at any time point (Fig. 2A, B; Table S4). The average δ13Ch - δ13Ce value was greater in 101 treatment than in control corals after 0 months on the reef, but was the same for the 102 remainder of the year (Fig. 2C, Table S4). δ15Nh did not differ between treatment and 103 control corals following repeat bleaching but varied seasonally with maximum values 104 observed after 1.5 months on the reef (Fig. 2D, Table S4). However, δ15Ne of treatment 105 corals was more enriched than controls immediately after repeat bleaching, but had fully 106 recovered after 1.5 months (Fig. 2E, Table S4). 107 P. astreoides. δ13Ch of treatment corals did not differ from controls after 0 months 108 on the reef, but was more enriched than controls after 1.5 months and had fully recovered 109 after 11 months (Fig. 2F, Table S4). At the same time, δ13Ce did not differ between 110 treatment and control corals, but increased steadily over the 11 months following repeat 111 bleaching (Fig. 2G, Table S4). The average δ13Ch - δ13Ce values were the same in 112 treatment and control corals at 0 and 1.5 months on the reef but was significantly lower in 113 treatment corals compared to controls after 11 months on the reef (Fig. 2H, Table S4). 114 δ15Nh of treatment corals did not differ from controls after 0 months on the reef, but was 4 115 more enriched than controls after 1.5 months and had fully recovered by 11 months (Fig. 116 2I, Table S4). δ15Ne of treatment corals was more enriched than controls for the first 1.5 117 months on the reef, but had fully recovered by 11 months (Fig. 2J, Table S4). 118 O. faveolata. Treatment δ13Ch did not differ from controls after 0 months on the 119 reef, but was more depleted relative to controls after 1. 5 months on the reef and had fully 120 recovered after 11 months (Fig. 2K). δ13Ce of treatment corals was more depleted than in 121 controls throughout the study, particularly after 1.5 months on the reef (Fig. 2L, Table 122 S4). Average δ13Ch - δ13Ce was greater in treatment than in control corals after 0 months 123 on the reef, but did not differ between treatment and controls for the remainder of the 124 study (Fig. 2M). Though δ15Nh did not differ between treatment and control corals at any 125 given time point, δ15Nh was more enriched in treatment corals than in controls overall and 126 significantly declined after 11 months on the reef (Fig. 2N, Table S4). δ15Ne did not differ 127 between treatment and control corals at any point during the study but also significantly 128 declined after 11 months on the reef (Fig. 2O, Table S4). 129 130 5 131 References 132 133 134 135 1. Grottoli AG, Rodrigues LJ, Juarez C. 2004 Lipids and stable carbon isotopes in two species of Hawaiian corals, Porites compressa and Montipora verrucosa, following a bleaching event. Mar. Biol. 145, 621-631. 136 137 138 2. Rodrigues LJ, Grottoli AG. 2007 Energy reserves and metabolism as indicators of coral recovery from bleaching. Limnol. Oceanogr. 52, 1874-1882. (doi:10.4319/lo.2007.52.5.1874) 139 140 141 3. Smith PK, Krohn RI, Hermanson GT, Mallia AK, Gartner FH, Provenzano MD, Fujimoto EK, Goeke NM, Olson BJ, Klenk DC. 1985 Measurement of protein using bicinchoninic acid. Anal. Biochem. 150, 76-85. 142 143 4. Dubois M, Giles KA, Hamilton JK, Pebers PA, Smith F. 1956 Colorimetric method for determination of sugar and related substances. Anal. Chem. 28, 350-356. 144 145 5. Lesser MP. 2013 Using energetic budgets to assess the effects of environmental stress on corals: are we measuring the right things? Coral Reefs 32, 25-33. 146 147 148 6. Gnaiger E, Bitterlich G. 1984 Proximate biochemical composition and caloric content calculated from elemental CHN analysis: a stoichiometric concept. Oecologia 62, 289-298. (doi:10.1007/BF00384259) 149 150 7. Clarke KR, Gorley RN. 2001 Primer v5: User Manual/Tutorial. (Plymouth, Primer-E. 151 152 153 8. Schoepf V, McCulloch MT, Warner ME, Levas SJ, Matsui Y, Aschaffenburg M, Grottoli AG. 2014 Short-term coral bleaching is not recorded by skeletal boron isotopes. PLoS One 9, e112011. (doi:10.1371/journal.pone.0112011) 154 155 156 157 9. Grottoli AG, Warner M, Levas SJ, Aschaffenburg M, Schoepf V, McGinley M, Baumann J, Matsui Y. 2014 The cumulative impact of annual coral bleaching can turn some coral species winners into losers. Global Change Biol. 20, 3823-3833. (doi:10.1111/gcb.12658) 158 159 10. Hoaglin E, Musteller F, Tukey J. 1983 Understanding Robust and Exploratory Data Analysis. New York, John Wiley & Sons; 447 p. 160 161 11. Winer BJ. 1971 Statistical Principles in Experimental Design. New York, McGraw-Hill. 162 163 12. Quinn GP, Keough MJ. 2002 Experimental Design and Data Analysis for Biologists. New York, Cambridge University Press. 6 164 165 166 13. Moran MD. 2003 Arguments for rejecting the sequential Bonferroni in ecological studies. Oikos 100, 403-405. (doi:10.1034/j.1600-0706.2003.12010.x) 167 7 168 Supplementary tables 169 170 171 172 173 174 175 176 177 178 179 180 Table S1. Results from SIMPER analyses for Porites divaricata, Porites astreoides and Orbicella faveolata. Only variables contributing most towards dissimilarity due to factor levels (i.e., >50% cumulative contribution) are listed. Av. Sq. Dist. = average squared distance, Sq. Dist./SD = squared distance/standard deviation, Contrib. = contribution, Cum. Contrib. = cumulative contribution, Mo = months, Calc = calcification rate in mg day-1 cm-2, LipidJ = lipid content in J gdw-1, ProtJ = protein content in J gdw-1, CarbJ = carbohydrate content in J gdw-1, Chla = chlorophyll a concentration in μg cm-2, δ15Ne = nitrogen isotopic composition of the endosymbiont fraction in ‰, δ13Ch-e = the difference between the carbon isotopic composition of the host minus that of the endosymbiont in ‰. All data were normalised. Factor Variable Av. Sq. Dist. Sq. Dist. /SD Contrib. (%) Cum. Contrib. (%) δ13Ch-e ProtJ Calc Chla ProtJ δ13Ch-e δ15Ne CarbJ δ13Ch-e LipidJ δ15Ne 2.45 1.84 1.78 4.12 2.12 2.04 3.85 3.65 3.31 4.42 3.64 0.50 0.82 0.66 0.98 0.65 0.68 1.25 0.93 0.70 1.34 1.29 21.79 16.34 15.80 28.16 14.47 13.96 19.15 18.15 16.43 29.27 24.15 21.79 38.13 53.93 28.16 42.63 56.59 19.15 37.30 53.73 29.27 53.42 Chla δ15Ne Calc ProtJ CarbJ Calc CarbJ ProtJ δ13Ch-e LipidJ δ15Ne δ13Ch-e 3.47 2.45 2.35 2.73 2.61 2.32 3.28 2.70 1.96 2.28 2.26 2.05 0.98 0.49 0.66 0.64 0.67 0.75 1.05 0.97 0.48 0.98 0.49 0.51 21.23 15.01 14.35 19.78 18.95 16.82 23.74 19.55 14.22 19.68 19.47 17.65 21.23 36.25 50.60 19.78 38.73 55.55 23.74 43.29 57.51 19.68 39.15 56.80 P. divaricata Temperature Time: 0 vs. 2 mo 0 vs. 11 mo 2 vs. 11 mo P. astreoides Temperature Time: 0 vs. 2 mo 0 vs. 11 mo 2 vs. 11 mo 8 O. faveolata Temperature Time: 0 vs. 2 mo 0 vs. 11 mo 2 vs. 11 mo Chla δ13Ch-e LipidJ Calc δ13Ch-e Chla Calc δ13Ch-e δ15Ne CarbJ δ15Ne 2.26 2.15 1.90 2.50 2.42 2.42 3.80 2.82 2.74 4.90 3.85 0.87 0.56 0.71 0.81 0.58 0.58 0.84 0.62 1.11 1.13 0.95 181 182 9 20.24 19.30 17.03 18.75 18.19 18.16 23.63 17.54 17.07 28.66 22.49 20.24 39.54 56.57 18.75 36.94 55.10 23.63 41.18 58.24 28.66 51.15 183 184 185 186 187 188 189 Table S2. Vector correlations for each variable used in non-metric multidimensional scaling (NMDS). Calc = calcification rate in mg day-1 cm-2, LipidJ = lipid content in J gdw-1, ProtJ = protein content in J gdw-1, CarbJ = carbohydrate content in J gdw-1, Chla = chlorophyll a concentration in μg cm-2, δ15Ne = nitrogen isotopic composition of the endosymbiont fraction in ‰, δ13Ch-e = the difference between the carbon isotopic composition of the host minus that of the endosymbiont in ‰. All data were normalised. MDS 1 MDS 2 Calc 0.14894 -0.69089 LipidJ 0.39843 0.48579 ProtJ 0.79383 0.00478 CarbJ 0.77127 0.18672 190 10 Chla 0.37938 -0.55497 δ15Ne -0.00189 0.51840 δ13Ch-e -0.71964 -0.00775 191 192 193 194 195 196 197 Table S3. Results of three-way ANOVAs for chlorophyll a (Chl a), lipid, protein, carbohydrate (carbs) concentration, and calcification (calc) rates of Porites divaricata, Porites astreoides, and Orbicella faveolata. The effect of temperature (Temp.) was fixed and fully crossed with two levels (control, treatment). Time was fixed and fully crossed with 3 levels (0, 1.5, and 11 months). Genotype (Geno) was a random factor with 9 levels (1-9). Significant p-values (p ≤ 0.05) are highlighted in bold. Variable P. divaricata Chl a Lipid Protein Carbs Calc. Effect df SS F-statistic p-value Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time 13, 40 1 2 8 2 13, 39 1 2 8 2 13, 39 1 2 8 2 13, 39 1 2 8 1 13, 39 1 2 8 2 199.478 0.2038 98.1069 30.5531 52.6506 311177222.4 899469.2 164835833.1 46160587.2 50073665.5 3534981.2 2256.4 1802784.1 1672292.6 648.431 6747146.2 285680.4 4651028.9 1145273.6 234708.6 0.5093 0.0393 0.0840 0.4242 0.0082 3.63 0.05 11.59 0.90 6.22 5.43 0.20 18.71 1.31 5.68 0.41 0.00 1.37 0.32 0.00 1.75 0.96 7.83 0.48 0.40 1.12 1.12 1.20 1.52 0.12 0.0023 0.8280 0.0002 0.5286 0.0060 0.0001 0.6551 <0.0001 0.2820 0.0090 0.9513 0.9538 0.2721 0.9521 0.9995 0.1093 0.3356 0.0022 0.8575 0.6774 0.3863 0.2988 0.3169 0.1996 0.8896 Model Temp. Time Geno Temp. x Time Model 13, 50 1 2 8 2 13, 51 509.98 278.02 7.9396 35.119 176.36 76540516.2 11 14.59 103.43 1.48 1.63 32.80 1.51 <0.0001 <0.0001 0.2415 0.1488 <0.0001 0.1578 P. astreoides Chl a Lipid Protein Carbs Calc. Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. Time G Temp. x Time 1 2 8 2 13, 52 1 2 8 2 13, 52 1 2 8 2 13, 47 1 2 8 2 1327495.8 4500687.5 54747857.7 14241105.3 49536946.3 12311820.7 11458755.9 8188692.0 15936155.8 8393328.1 345012.4 1399568.7 3014098.4 3433371.9 1.3173 0.3843 0.4149 0.1731 0.2798 0.34 0.58 1.76 1.83 6.86 22.18 10.32 1.84 14.35 4.07 2.17 4.41 2.37 10.82 5.76 21.83 11.79 1.23 7.95 0.5627 0.5659 0.1166 0.1745 <0.0001 <0.0001 0.0003 0.0980 <0.0001 0.0003 0.1483 0.0188 0.0345 0.0002 <0.0001 <0.0001 0.0001 0.3125 0.0015 Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. 13, 47 1 2 8 2 13, 45 1 2 8 2 13, 46 1 2 8 2 13, 46 1 2 8 2 13, 46 1 235.28 90.146 106.01 12.337 16.545 2.7056 0.1293 0.3878 1.4611 0.7504 11082849.9 4153.7 579949.3 9575975.6 554370.7 16.1426 0.0024 12.3004 2.2360 0.3875 4.8861 0.3245 12 3.56 17.72 10.42 0.30 1.63 1.52 0.95 1.42 1.34 2.74 2.72 0.01 0.93 3.82 0.88 8.33 0.02 41.28 1.88 1.30 3.49 3.02 0.0015 0.0002 0.0003 0.9597 0.2117 0.1631 0.3382 0.2571 0.2622 0.0795 0.0101 0.9090 0.4065 0.0028 0.4225 <0.0001 0.8990 <0.0001 0.0978 0.2860 0.0018 0.0917 O. faveolata Chl a Lipid Protein Carbs Calc. 198 199 200 Time 2 2.7474 Geno 8 1.4813 Temp. x Time 2 0.4561 df, degrees of freedom; SS, sum of squares of the effect; 13 12.76 1.73 2.12 <0.0001 0.1279 0.1361 201 202 203 204 205 206 207 208 Table S4. Results of three-way ANOVAs for δ13Ch, δ13Ce, δ13Ch-δ13Ce, δ15Nh, and δ15Ne of Porites divaricata, Porites astreoides, and Orbicella faveolata. The effect of temperature (Temp.) was fixed and fully crossed with two levels (control, treatment). Time was fixed and fully crossed with 3 levels (0, 1.5, and 11 months). Genotype (Geno) was a random factor with 9 levels (1-9). Significant p-values (p≤0.05) are highlighted in bold. Variable P. divaricata δ13Ch δ13Ce δ13Ch - δ13Ce δ15Nh δ15Ne Effect df SS F-statistic p-value Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time 13, 31 1 2 8 2 13, 31 1 2 8 2 13, 31 1 2 8 2 13, 31 1 2 8 2 13, 31 1 2 8 2 8.8066 0.8290 0.0286 7.0898 0.4791 12.1400 0.1249 0.5134 9.8585 1.7399 4.0121 0.3104 0.4782 0.7805 1.3400 8.4067 0.4368 2.3564 3.3117 0.3331 4.2960 0.3398 2.4058 0.3257 0.1292 1.69 2.07 0.04 2.21 0.60 2.87 0.38 0.79 3.79 2.67 2.47 2.48 1.91 0.78 5.36 2.62 1.77 4.77 1.68 0.67 4.44 4.57 16.17 0.55 0.87 0.1492 0.1675 0.9651 0.0773 0.5606 0.0199 0.5433 0.4694 0.0090 0.0962 0.0385 0.1325 0.1765 0.6252 0.0149 0.0300 0.2000 0.0217 0.1724 0.5217 0.0021 0.0466 <0.0001 0.8060 0.4365 Model Temp. Time Geno Temp. x Time Model 13, 50 7.2590 1 0.0342 2 2.1075 8 3.4347 2 1.2661 13, 50 35.3205 14 2.09 0.13 3.95 1.61 2.37 2.56 0.0392 0.7222 0.0278 0.1552 0.1071 0.0125 P. astreoides δ13Ch δ13Ce δ13Ch - δ13Ce δ15Nh δ15Ne Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time 1 2 8 2 13, 50 1 2 8 2 13, 49 1 2 8 2 13, 50 1 2 8 2 0.7803 20.7324 14.1237 2.0659 16.4006 1.6308 9.1049 3.8810 4.8776 22.0190 3.4501 13.5470 3.0233 2.9674 12.5850 4.5010 2.2163 3.2946 1.6751 0.74 9.77 1.66 0.97 4.06 5.24 14.64 1.56 7.84 6.07 12.37 24.29 1.36 5.32 6.77 31.55 7.75 2.88 5.86 0.3966 0.0004 0.1403 0.3871 0.0004 0.0278 <0.0001 0.1705 0.0014 <0.0001 0.0012 <0.0001 0.2492 0.0095 <0.0001 <0.0001 0.0015 0.0134 0.0062 Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. Time Geno Temp. x Time Model Temp. Time 13, 47 1 2 8 2 13, 47 1 2 8 2 13, 47 1 2 8 2 13, 46 1 2 8 2 13, 47 1 2 15 19.9135 0.3334 3.4247 13.9428 2.2763 20.7655 4.3534 3.2393 12.3950 0.4332 9.0652 2.2774 1.9827 3.7909 1.0378 0.1744 0.0156 0.1061 0.0373 0.0005 11.7354 0.0948 7.1388 6.38 1.39 7.14 7.26 4.74 5.97 16.28 6.06 5.80 0.81 4.54 14.82 6.45 3.08 3.38 6.70 7.80 26.48 2.33 0.13 8.67 0.91 34.29 <0.0001 0.2467 0.0026 <0.0001 0.0153 <0.0001 0.0003 0.0056 0.0001 0.4532 0.0002 0.0005 0.0042 0.0100 0.0459 <0.0001 0.0086 <0.0001 0.0418 0.8779 <0.0001 0.3466 <0.0001 O. faveolata δ13Ch δ13Ce δ13Ch - δ13Ce δ15Nh δ15Ne 209 210 Geno 8 3.3887 Temp. x Time 2 0.1639 df, degrees of freedom; SS, sum of squares of the effect. 16 4.07 0.79 0.0018 0.4631 6 fragments/colony x 9 colonies 27 27 Treatment Control 30.6 C Summer 2010 30.4 C ° ° 15 days 31.5 C 17 days 31.6 C 0 month 9 reef Single bleaching ° 9 9 9 ° 9 1.5 months 9 11 months Repeat bleaching reef Summer 2009 reef 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 Supplementary figures reef 211 Figure S1. Flow diagram of experimental design and coral fragments collected in the single and repeat bleaching experiment of 2009–2010. Orbicella faveolata pictured. This schematic also applies to Porites divaricata and Porites astreoides. days = days in the tanks, reef = time spent on the reef at ambient temperatures. Modified from Grottoli et al. [9]. 17 32 32 30 30 B C Reef 32 Control o Seawater temperature ( C) Single bleaching . Repeat beaching 30 28 26 A 24 240 241 242 243 244 245 J A S O N D J F 2010 M A M J J A S O N D J F 2011 M A M J Date Figure S2. Average daily seawater temperature records (A) throughout the study. Inset boxes show details of average daily temperature profiles of the treatment and control tanks during (B) the 2009 single bleaching and (C) the 2010 repeat bleaching. Months are indicated by their first letter. Modified from Grottoli et al. [9]. 246 247 248 18 249 250 251 252 253 254 255 256 257 258 259 260 261 262 Figure S3. NMDS plot representing the graphical relationship between response variables (vectors) and the overall response of each species to repeat bleaching. Dark and light green circles represent non-bleached control (MF2NB) and treatment (MF2BL) Orbicella faveolata, respectively. Dark and light blue squares represent non-bleached control (PA2NB) and treatment (PA2BL) Porites astreoides, respectively. Purple and pink triangles represent non-bleached control (PD2NB) and treatment (PD2BL) Porites divaricata, respectively. Calc = calcification rate in mg day-1 cm-2, chla = chlorophyll a concentration in μg cm-2, lipidJ = lipid content in J gdw-1, protJ = protein content in J gdw-1, carbJ = carbohydrate content in J gdw-1, δ15Ne = nitrogen isotopic composition of the endosymbiont fraction in ‰, δ13Ch-e = the difference between the carbon isotopic composition of the host minus that of the endosymbiont in ‰. All data were normalised. Vector correlations for each variable are given in Table S2. 263 19 % of treatment corals P. divaricata 100 80 60 40 20 P. astreoides B A 0 1.5 11 O. faveolata C 0 1.5 11 0 1.5 11 Months on the reef following repeat bleaching 264 non-bleached partially bleached bleached partially dead non-bleached partially dead bleached dead 265 266 267 268 269 270 271 272 273 274 275 276 277 278 Figure S4. Health status of treatment (A) Porites divaricata, (B) Porites astreoides, and (C) Orbicella faveolata after 0, 1.5, and 11 months on the reef following repeat bleaching. Corals designated as non-bleached were dark brown in colour and completely covered by living tissue. Partially bleached fragments were either entirely pale (but not white) or some of the tissue was bleached and some healthy, and they were completely covered by live tissue. Bleached fragments were either 100% white in colour or >50% white and the rest pale, and they were completely covered by living tissue. Partially dead non-bleached fragments were partially covered by filamentous or encrusting algae (or both), and partially covered by patches of living tissue that was brown in colour. Partially dead bleached fragments were partially covered by filamentous or encrusting algae (or both), and partially covered by patches of living tissue that were pale in colour. Dead fragments were completely covered by filamentous or encrusting algae (or both), with no living tissue remaining. 279 20 P. astreoides P. divaricata Carbohydrate -1 (g gdw ) Protein -1 (g gdw ) Lipid -1 (g gdw ) 0.4 D A 0.3 282 283 284 285 286 G 0.2 0.1 B E C F * 0.15 * H 0.10 0.05 0.15 I * * * 0 1.5 11 0.10 0.05 0 280 281 control treatment * O. faveolata 1.5 11 0 1.5 11 Months on the reef following repeat bleaching Figure S5. Average lipid, protein, and carbohydrate in g per g ash-free dry weight of (A-C) Porites divaricata, (D-F) Porites astreoides, and (G-I) Orbicella faveolata after 0, 1.5, and 11 months on the reef following repeat bleaching. Averages are shown ± 1 SE. Asterisks indicate significant differences between treatment and control corals within a time point and species. Sample size per average ranges from 5-9. 287 21