Reproductive allocation in Daphnia exposed to toxic cyanobacteria
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1 Journal of Plankton Research Vol.21 no.8 pp , 1999 Reproductive allocation in Daphnia exposed to toxic cyanobacteria Marko Reinikainen 1,2,3, Jaana Hietala 2 and Mari Walls 2 1 University of Helsinki, Tvärminne Zoological Station, FIN Hanko and 2 University of Turku, Department of Biology, Section of Ecology, FIN Turku, Finland 3 To whom correspondence should be addressed at: Umeå University, Department of Ecology and Environmental Science & Umeå Marine Sciences Centre, S Umeå, Sweden Abstract. We investigated experimentally how resources were allocated to reproduction in Daphnia pulex and Daphnia longispina when varying levels of toxic Microcystis were added to higher quality food. We used multiple regression models to estimate mean offspring size and clutch size in relation to maternal size and clutch number, and analysed effects of treatments on residuals from the models. We also measured variation in per offspring investment. At a high cyanobacterial level, D.pulex was virtually unable to reproduce. At a lower level, D.pulex produced small clutches. However, the regression model residuals indicated that the presence of cyanobacteria increased the portion of available resources allocated to reproduction. The observed allocation may be a means to maximize reproduction under diminished longevity. Effects on mean offspring size were marginal in D.pulex, but variation in per offspring investment sometimes decreased in cyanobacterial exposures. Daphnia longispina was affected by a higher cyanobacterial level only, where offspring size was reduced. Deviations from the regression model indicated that effects on maternal size alone do not explain this effect. Clutch size residuals and per offspring investment were unaffected by treatments in D.longispina. The observed responses differ from theoretical models on reproductive allocation under food limitation. Introduction The performance and competitive ability of an individual are affected by the way it allocates resources to reproduction in different environments. It is often assumed that there is a fixed amount of resources available for reproduction at a given time of an individual s life history (Smith and Fretwell, 1974; Ebert, 1994) and that increased reproductive investment takes place at the cost of somatic investment [Williams, 1966; see Tuomi et al. (1983) for alternative allocation systems]. When these assumptions are true, offspring size, offspring number and maternal size are interrelated parameters that vary within limits set by morphological and other constraints (e.g. Glazier, 1992). The relative importance of these life history parameters depends on the given environmental conditions. Variation in food quantity is the most studied environmental parameter in papers concerning reproductive allocation in Daphnia. Small offspring size has, for instance, been shown to be associated with low starvation resistance (e.g. Threlkeld, 1976; Tessier et al., 1983; Goulden et al., 1987). Producing large clutches and consequently smaller offspring should, therefore, be advantageous at high food levels only. According to Smith and Fretwell (1974), it should furthermore be important to invest resources evenly, so that all offspring are close to the size that is optimal for a given environment. Oxford University Press 1553
2 M.Reinikainen, J.Hietala and M.Walls It is important to note, however, that reproductive allocation is not affected by food level only; effects of food quality are equally important (Brett, 1993). Cyanobacteria are generally regarded as a poor-quality food source, and several studies have shown that exposure to toxic strains results in markedly reduced clutch sizes in Daphnia and other zooplankton (e.g. Porter and Orcutt, 1980; Fulton and Paerl, 1987; Hanazato and Yasuno, 1987; Gilbert, 1990). Effects of toxic cyanobacteria on offspring quality, however, have not been studied previously. In natural waters, food quality fluctuates as markedly as does food quantity (Sommer et al., 1986). In particular, the often rapid occurrence of cyanobacteria as a part of the phytoplankton community is believed to have a negative effect on large cladocerans (e.g. Edmondson and Litt, 1982; Infante and Abella, 1985; Jarvis et al., 1987). According to Sivonen et al. (1990), ~50% of dense populations of cyanobacteria are toxic, containing neurotoxic alkaloids and/or hepatotoxic peptides. Both of these groups of toxins have been shown to affect Daphnia in laboratory studies (DeMott et al., 1991; Haney et al., 1995). In this study, we report how a peptide toxin-producing strain of the cyanobacterium Microcystis aeruginosa affects reproductive allocation in Daphnia. Our study includes several improvements over earlier papers concerning life history effects of toxic cyanobacteria on Daphnia: (i) we studied both offspring size and offspring number; (ii) we considered the possibility that maternal size and reproductive instar affect reproductive allocation (see Glazier, 1992); (iii) we used five genotypes (clones) of Daphnia, originating from two different species (Daphnia pulex and Daphnia longispina). The study of different genotypes is important because interclonal variation in responses is a requisite for selection (Glazier, 1992; Boersma, 1995). Furthermore, there is large variation in the susceptibility of different Daphnia clones to toxic substances (Baird et al., 1990). Therefore, conclusions derived from studies of a single clone may be of limited value. Method Individuals from three clones of D.pulex (P1, P2 and P3) and two clones of D.longispina (L1 and L2), kept as stock cultures in our laboratory, were used in the experiment. These clones have been isolated from small, fishless ponds near Turku in SW Finland. All clones derive from separate ponds. The phytoplankton composition and other environmental characteristics of the pond habitats are often unstable (C.Laurén-Määttä, unpublished data), and we will not attempt to link our results to the history of the Daphnia clones. Experimental animals were obtained from the second or third clutch of mothers that had been born into the experimental conditions [see Hietala et al. (1995) for details]. Filtered (Whatman GF/C) lake water from Lake Littoistenjärvi (SW Finland) was used as Daphnia medium in all cultures. The green alga Scenedesmus obtusiusculus was used as food in the Daphnia cultures, as well as during the experiment. The cyanobacterium used was M.aeruginosa (strain PCC7820). This cyanobacterial strain produces at least one variant of cyclic peptide toxins called microcystins. One or more unknown toxins, 1554
3 Reproductive allocation in Daphnia that are probably more toxic to Daphnia than microcystins, may also be present (Reinikainen et al., 1994). The cyanobacterial treatments consisted of a mixture of cells ml 1 of S.obtusiusculus (0.260 mg C l 1 ) and or cells ml 1 of cyanobacteria (0.076 and mg C l 1, respectively). Unexposed control animals were fed Scenedesmus only. All animals were reared individually in 20 ml vessels, at 20 C, and on a 16 h:8 h light:dark cycle. They were transferred daily into fresh media. Ten replicate animals of each clone were used per cyanobacterial treatment and in the controls. At the beginning of the experiment, the animals were <24 h of age. As the animals were transferred to fresh treatment media; offspring, if any, were counted and preserved in 70% ethanol. The preserved offspring were later measured under a microscope (length from the base of the tail spine to the top of the compound eye). A mean offspring size and the coefficient of variation (CV) were calculated for each clutch of each replicate animal. Data on the first three clutches were included in statistical analyses: clutches that were produced later were excluded because of the low number of reproducing replicates in cyanobacterial treatments. Preliminary statistical analyses included two-way MANOVAs, with mean offspring size as dependent variable, and cyanobacteria and clone as independent variables. Effects on the CVs were analysed using twoway ANCOVAs, with maternal carapace length as a covariate (see e.g. Boersma, 1995). There is a trade-off between offspring size and number in Daphnia, and these parameters are also affected by maternal size and clutch number (e.g. Boersma, 1995). Therefore, further analyses were carried out as follows: we used multiple regression models that included maternal size, clutch number and clutch size to estimate offspring size. Using stepwise forward selection, variables with P values of <0.150 were included in final models. Similar regression models were used to estimate clutch sizes, with offspring size replacing clutch size as one of the regression variables. To investigate how true (observed) values differed from the estimated (predicted) values, residuals from the regression models were calculated. Effects of treatments were then analysed using two-way MANOVAs. In these MANOVAs, cyanobacteria and clone were the independent variables, and the offspring size and clutch size residuals (analysed in separate MANOVAs) for clutches 1 3 were the dependent variables. The MANOVAs were followed by two-way ANOVAs on each of the three clutches. Fixed models were used in the analyses. Interactions and main effects were interpreted from the MANOVA and ANOVA tables, and visually from graphs, according to Mead (1988). All data for the two Daphnia species were analysed separately, as D.pulex did not have enough reproducing replicates at the higher cyanobacterial level to allow statistical comparisons. SAS Version 6.09 (Statistical Analysis Systems, 1989) was used in the analyses. Results The main focus of this study is on the specific relationships between different life history characteristics. These relationships are presented in the sections below. 1555
4 M.Reinikainen, J.Hietala and M.Walls Only a short summary of general treatment effects on these characteristics per se is given here. This summary is partly based on a previous study on the same data set (Hietala et al., 1995), where survival, somatic investments and intrinsic growth rates were the subjects of interest. As could be expected, maternal growth and clutch sizes were reduced in cyanobacterial treatments [Figure 1A and B; see Hietala et al. (1995) for details]. Clutch size reductions occurred in D.pulex at the lower concentration, whereas D.longispina clutches were reduced at the higher concentration only. A statistically significant effect of cyanobacteria on offspring size was observed in D.longispina only (two-way MANOVA; Wilks : F 6,6 = 4.60; P = 0.043). The other main factor (clone) and the interaction term were not statistically significant. The effect of cyanobacteria was associated with a decrease in offspring size in clutches 1 and 3 at the higher cyanobacterial level (Figure 1C). The mean CV of D.pulex offspring size was reduced by the cyanobacteria (Table I). The effect of cyanobacteria was statistically significant in clutch 3 (ANCOVA; F 1,32 = 6.84; P = 0.01) and the effect of clone in clutch 1 (ANCOVA; F 2,43 = 3.39; P = 0.04). Maternal size, which was used as a covariate, had no effect on this parameter. The CVs of D.longispina (Table I) were not affected in a statistically significant way. Offspring size residuals In the regression model estimating offspring size in D.pulex, the effects of maternal size and clutch number were statistically significant (Table IIA). The clone cyanobacteria interaction in the MANOVA on the offspring size residuals approached significance (Table IIIA). ANOVAs on the separate clutches showed that this effect is explained mainly by responses in the second clutch (Table IIIA). The mean residuals (Figure 2, left panel) imply that the largest difference in the reactions in clutch 2 is that between clones P2 and P3, with the former clone producing larger offspring than the model predicts, and the latter one smaller offspring, when exposed to cyanobacteria. Keeping in mind the high P value in Table I. Effects of toxic cyanobacteria (Cya) on within-clutch variability in resource investment: the coefficient of variation for offspring size (length in µm) of D.pulex (clones P1 P3) and D.longispina (L1 and L2). Treatments consisted of control (0), a low (1) and a high (2) level of cyanobacteria. Numbers in parentheses indicate the SE Clone Cya Clutch 1 Clutch 2 Clutch 3 P (0.57) 1.80 (0.24) 2.14 (0.34) (0.34) 1.24 (0.18) 1.77 (0.59) P (0.26) 2.57 (0.33) 2.16 (0.32) (0.33) 1.95 (0.31) 1.81 (0.21) P (0.29) 1.82 (0.43) 2.33 (0.35) (0.12) 1.76 (0.43) 1.11 (0.17) L (0.79) 3.83 (0.67) 2.24 (0.59) (0.53) 2.08 (0.34) 3.00 (0.28) (0.78) 3.27 ( ) 5.16 (2.90) L (2.27) 1.96 (0.15) 4.44 (1.30) (0.52) 2.40 (0.50) 5.62 (1.77) (1.92) 3.69 (0.58) 3.43 (0.73) 1556
5 Reproductive allocation in Daphnia Fig. 1. Mean maternal size (A), clutch size (B) and offspring size (C) of Daphnia. Bars indicate SE. The plots are for a control treatment, a low cyanobacterial treatment and a high cyanobacterial treatment. Filled symbols are for D.pulex and open symbols for D.longispina. The plots contain pooled data for three clones of the former species and two of the latter one. the MANOVA, and the large SEs, this interpretation of the graphs is only suggestive. Effects of maternal size were also statistically significant in the regression model estimating offspring size in D.longispina, whereas effects of clutch number approached significance (Table IIA). The MANOVA showed that the main factors clone and cyanobacteria both had statistically significant effects on the 1557
6 M.Reinikainen, J.Hietala and M.Walls Table II. Parameter estimates (PE) and their significance levels for regression models on offspring size (A) and clutch size (B) in D.pulex and D.longispina. The numbers in parentheses indicate the SE of PE. The variables clutch number and maternal size were included in the regression models, using stepwise forward selection. The variables clutch size (for the models in A) and offspring size (for the models in B) were excluded from the final models because of P values > Variable D.pulex D.longispina PE P PE P (A) Intercept (25.8) < (32.4) <0.001 Clutch no. 9.9 (3.4) (4.6) Maternal size 0.1 (<0.1) < (<0.1) <0.001 r 2 = 0.34 r 2 = 0.30 (B) Intercept 2.9 (1.6) (1.8) <0.001 Clutch no. 2.3 (0.1) < (0.2) Maternal size <0.1 (<0.1) <0.1 (<0.1) <0.001 r 2 = 0.77 r 2 = 0.41 Table III. Effects of cyanobacteria (Cya) and clone (Cl) on offspring size in Daphnia: multivariate (Wilks ) and univariate statistics on residuals from multiple regression models that included the variables maternal size and clutch number. (A) D.pulex; (B) D.longispina (A) Source Wilks univ. d.f. Clutch 1 a Clutch 2 b Clutch 3 c d.f. F P F P F P F P Cl 6, Cya 3, Cl Cya 6, Error 30 (Error MS: a 470.1; b 577.6; c 627.0). (B) Source Wilks univ. d.f. Clutch 1 a Clutch 2 b Clutch 3 c d.f. F P F P F P F P Cl 3, Cya 6, < Cl Cya 6, Error 18 (Error MS: a 237.7; b 821.4; c ). residuals (Table IIIB). Univariate statistics revealed that the effect of cyanobacteria is explained by responses in the first clutch (Table IIIB). In that clutch, both D.longispina clones produced smaller offspring than predicted by the regression model at the higher cyanobacterial level (Figure 2, right panel; mean of dark bars ~ 27). The corresponding value is positive for the lower cyanobacterial level (mean of striped bars ~18) and ~0 at the control level (mean of empty bars). The effect of clone is explained by higher mean residuals in clone L2 than in clone L1 in clutches 1 and 3 (Figure 2, right panel). 1558
7 Reproductive allocation in Daphnia Fig. 2. Effects of cyanobacterial treatments on mean residuals from regression models predicting offspring sizes in D.pulex clones P1 P3 and D.longispina clones L1 and L2. Two cyanobacterial levels are included for D.pulex and three for D.longispina. Bars indicate the SE. Clutch size residuals The regression model estimating clutch size in D.pulex revealed that the variables clutch number and maternal size both had a statistically significant effect on clutch size (Table IIB). There was a statistically significant effect of cyanobacteria on the residuals from the regression model as analysed by MANOVA and 1559
8 M.Reinikainen, J.Hietala and M.Walls Table IV. Effects of cyanobacteria (Cya) and clone (Cl) on clutch size in Daphnia: multivariate (Wilks ) and univariate statistics on residuals from multiple regression models that included the variables maternal size and clutch number. (A) D.pulex; (B) D.longispina (A) Source Wilks univ. d.f. Clutch 1 a Clutch 2 b Clutch 3 c d.f. F P F P F P F P Cl 6, Cya 3, <0.001 Cl Cya 6, Error 39 (Error MS: a 0.91; b 0.83; c 1.32). (B) Source Wilks univ. d.f. Clutch 1 a Clutch 2 b Clutch 3 c d.f. F P F P F P F P Cl 3, Cya 6, Cl Cya 6, Error 27 (Error MS: a 3.52; b 3.12; c 3.24). subsequent univariate statistics (Table IVA). All clutches from exposed animals were larger than the model predicts, whereas control clutches were smaller (Figure 3, left panel). Clutch size residuals (Figure 3, right panel) in D.longispina were not affected by the treatments in a statistically significant way (Table IVB). In the regression model, the effects of maternal size and clutch number were significant (Table IIB). Discussion Our intention to study relationships between reproductive allocation and other life history characteristics in Daphnia under different food conditions was not facilitated by differences between clones and subsequent clutches. However, some potentially important observations emerged. Regarding offspring size, we observed that one of the species used (D.longispina) was able to reproduce at a high cyanobacterial level, but that the size of the neonates was reduced. The reductions were of the order of 5 10% (Figure 1C). Brett (1993) also demonstrated maternally mediated effects, which were caused by M.aeruginosa. These effects were persistent, and a ~5% reduction in size correlated with smaller clutch sizes, an increase in age at maturity and decreased instantaneous population growth rates. Thus, even small reductions in size can be biologically important. Decreased offspring size has also been demonstrated by Repka (1997, 1998), who used a strain of the cyanobacterium Oscillatoria limnetica. In the latter study of Repka, effects were statistically significant even after corrections for maternal size (which also had a significant effect). 1560
9 Reproductive allocation in Daphnia Fig. 3. Effects of cyanobacterial treatments on mean residuals from regression models predicting clutch sizes in D.pulex clones P1 P3 and D.longispina clones L1 and L2. Two cyanobacterial levels are included for D.pulex and three for D.longispina. Bars indicate the SE. Likewise, maternal size alone did not explain the responses in our experiment, because residuals from the regression models were also affected (Table IIIB). Possibly, D.pulex offspring were also affected after corrections for maternal size and clutch number, because a weak clone cyanobacteria interaction was observed (Table IIIA). Unfortunately, this interaction was only found in one 1561
10 M.Reinikainen, J.Hietala and M.Walls clutch, and interpretations regarding consequences for the relative fitness of the clones under stress from cyanobacteria cannot be made from these data (but see Hietala et al., 1995). The present study suggests that toxic or low-quality food can cause concurrent reductions in offspring and clutch size. This result is in accordance with the earlier studies by Brett (1993) and Repka (1997, 1998), in which cyanobacteria were used as low-quality food, but toxicity was not known. In contrast, studies on relationships between low food quantity and reproductive allocation have shown that similar reductions in clutch size as those we observed correlate with increases in offspring size (e.g. Glazier, 1992; Ebert, 1994; McKee and Ebert, 1996). These increases are believed to be adaptive responses that result in large offspring with a high resistance against food shortage. We suggest that toxicity or other unfavourable biochemical properties in food give rise to differing, non-adaptive responses, caused by disturbed egg development. This suggestion is in accordance with an earlier report on decreased egg viability in Daphnia exposed to toxic Microcystis (Reinikainen et al., 1995). An opposing view would be that reductions in offspring size as a response to cyanobacteria are adaptive. This view is contradicted by the results of Brett (1993): larger offspring born from mothers fed high-quality food did better than smaller offspring produced by mothers fed Microcystis, when reared on a cyanobacterial diet. Adaptive responses to highly variable biochemical properties of different phytoplankton may be generally less common than those produced by a more uniform selection pressure such as food limitation, which is at least temporally common in many environments. A final note on offspring size concerns per offspring investments. According to Tessier and Consolatti (1989), variability in offspring size can be explained by problems associated with fractional resource allocation. Large variance is often the result of one small juvenile [but see Ebert (1994)], for which there has not been enough resources, and this is especially true in small clutches. Therefore, theoretical predictions of even offspring sizes (Smith and Fretwell, 1974) are not always valid in small clutches. We expected increasing within-clutch variation in cyanobacterial exposures because clutch size decreased. If anything, there was a decrease in CV in D.pulex (Table I), which was statistically significant in one clutch. Possibly, abortions in cyanobacterial exposures (Reinikainen et al., 1995) could remove small eggs, which, according to Bell (1983), do not always hatch. Thus, measuring eggs instead of juveniles could have given more information on the subject. Regarding relationships between clutch size and other life history parameters, we note that there were consistent treatment effects on the residuals from the regression models in D.pulex (Table IVA). The response to cyanobacteria was, in each clutch of all clones, an increased clutch size relative to the estimates of the model (Figure 3, left panel). (Note that this interpretation concerns the residuals, not the actual clutches, the size of which decreased in exposures; Figure 1B.) At present, we do not know whether there is an evolutionary reason for this phenomenon. One such reason could be that under conditions which do not permit long survival and the production of several clutches, it is favourable to 1562
11 Reproductive allocation in Daphnia allocate all available resources to reproduction. A problem with this explanation is that reproduction should then occur earlier than in an environment with low mortality risk. In reality, reproduction was delayed in exposures (Hietala et al., 1995). Possibly, D.pulex growth was delayed due to toxic stress, but when the animals were large enough, reproduction was favoured over size. The question remains whether D.pulex can actually sense that exposure to cyanobacteria constitutes a high mortality risk. It is also not clear why D.longispina did not show a consistent response pattern. Acknowledgements We are indebted to Camilla Laurén-Määttä and Matti Ketola, who made valuable suggestions on data interpretation. This study was supported by grants from the Academy of Finland to M.R. (Academy of Finland grants 7685 and 42768) and M.W., and from the Maj and Tor Nessling Foundation. This work is also part of University of Helsinki programme number References Baird,D.J., Barber,I. and Calow,P. (1990) Clonal variation in general responses of Daphnia magna Straus to toxic stress. I. Chronic life history effects. Funct. Ecol., 4, Bell,G. (1983) Measuring the cost of reproduction III. The correlation structure of the early lifehistory of Daphnia pulex. Oecologia (Berlin), 60, Boersma,M. (1995) The allocation of resources to reproduction in Daphnia galeata: against the odds? Ecology, 76, Brett,M.T. (1993) Resource quality effects on Daphnia longispina offspring fitness. J. Plankton Res., 15, DeMott,W.R., Zhang,Q.-X. and Carmichael,W.W. (1991) Effects of toxic cyanobacteria and purified toxins on the survival and feeding of a copepod and three species of Daphnia. Limnol. Oceanogr., 36, Ebert,D. (1994) Fractional resource allocation into few eggs: Daphnia as an example. Ecology, 75, Edmondson,W.T. and Litt,A.H. (1982) Daphnia in Lake Washington. Limnol. Oceanogr., 27, Fulton,R.S.,III and Paerl,H.W. (1987) Toxic and inhibitory effects of the blue-green alga Microcystis aeruginosa on herbivorous zooplankton. J. Plankton Res., 9, Gilbert,J.J. (1990) Differential effects of Anabaena affinis on cladocerans and rotifers: mechanisms and implications. Ecology, 71, Glazier,D.S. (1992) Effects of food, genotype, and maternal size and age on offspring investment in Daphnia magna. Ecology, 73, Goulden,C.E., Henry,L.L. and Berrigan,D. (1987) Egg size, postembryonic yolk, and survival ability. Oecologia (Berlin), 72, Hanazato,T. and Yasuno,M. (1987) Evaluation of Microcystis as food for zooplankton in a eutrophic lake. Hydrobiologia, 144, Haney,J.F., Sasner,J.F. and Ikawa,M. (1995) Effects of products released by Aphanizomenon flosaquae and purified saxitoxin on the movements of Daphnia carinata feeding appendages. Limnol. Oceanogr., 40, Hietala,J., Reinikainen,M. and Walls,M. (1995) Variation in life history responses of Daphnia to toxic Microcystis aeruginosa. J. Plankton Res., 17, Infante,A. and Abella,S.E.B. (1985) Inhibition of Daphnia by Oscillatoria in Lake Washington. Limnol. Oceanogr., 30, Jarvis,A.C., Hart,R.C. and Combrink,S. (1987) Zooplankton feeding on size fractionated Microcystis colonies and Chlorella in a hypertrophic lake (Hartbespoort Dam, South Africa): implications to resource utilization and zooplankton succession. J. Plankton Res., 9,
12 M.Reinikainen, J.Hietala and M.Walls McKee,D. and Ebert,D. (1996) The interactive effects of temperature, food level and maternal phenotype on offspring size in Daphnia magna. Oecologia (Berlin), 107, Mead,R. (1988) The Design of Experiments. Cambridge University Press, Cambridge. Porter,K.G. and Orcutt,J.D.J. (1980) Nutritional adequacy, manageability, and toxicity as factors that determine the food quality of green and blue-green algae for Daphnia. In Kerfoot,W.C. (ed.), Evolution and Ecology of Zooplankton Communities. University Press of New England, Hanover, NH, pp Reinikainen,M., Ketola,M. and Walls,M. (1994) Effects of the concentrations of toxic Microcystis aeruginosa and an alternative food on the survival of Daphnia pulex. Limnol. Oceanogr., 39, Reinikainen,M., Ketola,M., Jantunen,M. and Walls,M. (1995) Effects of Microcystis aeruginosa exposure and nutritional status on the reproduction of Daphnia pulex. J. Plankton Res., 17, Repka,S. (1997) Effects of food type on the life history of Daphnia clones from lakes differing in trophic state. I. Daphnia galeata feeding on Scenedesmus and Oscillatoria. Freshwater Biol., 37, Repka,S. (1998) Effects of food type on the life history of Daphnia clones from lakes differing in trophic state. I. Daphnia cucullata feeding on mixed diets. Freshwater Biol., 38, Sivonen,K., Niemelä,S.I., Niemi,R.M., Lepistö,L., Luoma,T.H. and Räsänen,L.A. (1990) Toxic cyanobacteria (blue-green algae) in Finnish fresh and coastal waters. Hydrobiologia, 190, Smith,C.C. and Fretwell,S.D. (1974) The optimal balance between size and number of offspring. Am. Nat., 108, Sommer,U., Gliwicz,Z.M., Lampert,W. and Duncan,A. (1986) The PEG-model of seasonal succession of planktonic events in fresh waters. Arch. Hydrobiol., 106, Statistical Analysis Systems Institute, Inc. (1989) SAS Procedures Guide, Version 2, 3rd edn. SAS Institute, Cary, NC. Tessier,A.J. and Consolatti,N.L. (1989) Variation in offspring size in Daphnia and consequences for individual fitness. Oikos, 56, Tessier,A.J., Henry,L.L. and Goulden,C.E. (1983) Starvation in Daphnia: Energy reserves and reproductive allocation. Limnol. Oceanogr., 28, Threlkeld,S.T. (1976) Starvation and the size structure of zooplankton communities. Freshwater Biol., 6, Tuomi,J., Hakala,T. and Haukioja,E. (1983) Alternative concepts of reproductive effort, costs of reproduction, and selection in life-history evolution. Am. Zool., 23, Williams,G.C. (1966) Natural selection, the costs of reproduction, and a refinement of Lack s principle. Am. Nat., 100, Received on January 5, 1997; accepted on April 22,
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