Marine Environmental Research. Vol. 44, No. 3, pp. 243-262, PII: SOl41-1136(97)00003-Z 1997 Q 1997 Elsevier Science Ltd All rights reserved. Printed in Great Britain 0141-1136/97 $17.00+0.00 ELSEVIER Spatial and Temporal Variation of Selenium Concentration in Five Species of Intertidal Molluscs from Jervis Bay, Australia S. Baldwin and W. Maher Applied Science, University of Canberra, PO Box 1, Belconnen, ACT 2616, Australia (Received 14 April 1996; revised version received 6 December 1996; accepted 29 December 1996; published July 1997) ABSTRACT Spatial, temporal, intraspecies and interspecies variation of selenium concentration inJive species of intertidal molluscs from Jervis Bay, Australia was investigated. The selenium concentrations measured in molluscs were lower than in those reported from overseas studies. The selenium concentrations did not d@er from those reported for other relatively unpolluted Australian marine environments. Nerita atramentosa had the lowest selenium concentration, followed by A. constricta and B. nanum, then 0. angasi, with M. marginalba having the highest concentrations of selenium. Species dtferences in selenium concentration were also rejected in total body burdens of selenium. The dtflerences in selenium concentration among species varied temporally, with the magnitude of the dtrerences varying among months. The population distributions of selenium concentration generally exhibited positive skewness, with most individuals within each species containing low concentrations of selenium. Only a few individuals exhibited high concentrations of selenium, extending the right tail of the frequency distribution. Skewness could not be explained by mass and size differences and is probably the result of micro-habitat dtj-erences. Selenium concentrations did not have any consistent relationship with mass or length of the species. The trend was towards lower selenium concentrations as mass of the mollusc increased. This means that mass or length cannot be used as an index of selenium concentrations in populations of the species examined in this study. Significant variation in selenium concentration existed on all spatial scales (location, site) for all species with the exception of the bivalve 0. angasi. For the gastropods, the order of sites from lowest to highest selenium concentration d@ers among sampling times, with no predominance of one site over another. All species showed signtficant temporal variation in selenium concentration and selenium body burdens but there were no consistent trends over time, or consistent relationships with body mass. At most sites the lowest selenium concentrations and selenium body burdens were recorded in January and associated with high body tissue mass in 0. angasi, and spawning in N. atramentosa, B. Nanum and M. marginalba. 0 1997 Elsevier Science Ltd 243 244 S. Baldwin. W. Muhrr INTRODUCTION Selenium is of interest because it is classified as both an essential element for animals (Schwartz and Faltz, 1957) and is toxic at elevated levels (Moxon and Olsen, 1974; Ganther, 1974). Sub-lethal effects such as edema, tissue degeneration and chromosomal abberations are also prevalent in animals exposed to high concentrations of selenium from natural or human induced sources (Sorensen rt al., 1984, Sorensen and Baver, 1983. Gillespie and Baumann, 1986). Maher rt al. (1992) and Maher and Batley (1990) reviewed current literature on selenium in Australian marine organisms and suggested that future Australian research should be directed toward accumulating information about: 1. selenium content of waters. sediment and biota of nearshore 2. speciation of selenium in water sediments and biota; and 3. selenium’s relationship with other trace elements. environments: Their concern was that selenium has not been characterized enough in Australian ecosystems to know if it poses an environmental hazard. The first research directive forms the basis of this study. The habitat chosen for study was the intertidal rocky shore of Jervis Bay, Australia which supports more than 51 species of flora and fauna (Jervis Bay Baseline Studies, 1990). Underwood and Atkinson (1995) proposed that one future disturbance affecting rocky shore habitats in Jervis Bay (and elsewhere) may stem from water-borne chemicals from urban and industrial sewage, effluents, and run-off. The responses of Australian marine organisms to chemicals are largely unknown, stressing the need to study and strengthen our current knowledge base of the occurrence of trace metals in organisms. The use of organisms as biomonitors of metal concentrations in marine and estuarine environments has been summarized by Phillips (1977, 1980, 1990). Contamination is often geographically patchy because of factors such as wind direction, storm events, intermittent chemical inputs from point and non-point sources, and localized differences in sediment types. Analysis of grab samples of water only gives a snapshot of information at that one time, and this information is difficult to relate to effects on the biological components of the environment. Organisms are able to integrate the relative concentrations and bioavailability of metals over their particular spatial and temporal ranges, and so provide a measure of potential ecological and human health risks (McCarthy and Shugart, 1990). Prior to using organisms as biomonitors, Gorden et ul. (1980) stated that an estimate of trace metal and other pollutant variability must be established to subsequently achieve the objectives of baseline or monitoring studies. If element concentration variation is not characterized, then differences in environmental pollutant concentrations caused by anthropogenic activity may be uninterpretable. There is a paucity of information regarding selenium in Australian marine environments to adequately account for any natural variation existing in the biota (Maher and Batley, 1990). Variations may exist because of spatial (location, site) differences, temporal (time or season) differences, or species differences. The objectives of this study were to measure the selenium concentrations in five intertidal mollusc species commonly found on the rocky intertidal shores of Jervis Bay to determine the: Spatial and temporal variation of selenium concentration 245 0 interspecies variation in selenium concentration frequency distribution of selenium concentrations in populations and thus ‘inherent’ variability l effect of mass and length on selenium concentrations l spatial selenium concentration variability l temporal selenium concentration and total selenium body burden variability in relationship to mass variation. l SELECTION OF SITES AND STUDY DESIGN Study area Jervis Bay lies on the south coast of New South Wales some 180 km south of Sydney. Sites relevant to this study are shown in Fig. 1. The geology of the area is predominantly sandstone overlain by varying depths of deposited sand (Taylor et al., 1995). Three freshwater inflows drain into Jervis Bay: Moona Moona Creek and Currumbene Creek draining the western land of the bay and Carama inlet in the north (Fig. 1). Total catchment of the bay is 400 km2, a small area when compared to the water area of Jervis Bay at 102 km2. The waterways support mangrove and saltmarsh communities which, in association with the sandy soils of the catchment, filter the water inflows of silt and particulates. This, along with the absence of large inflows draining into the bay, results in Jervis Bay having clear waters (Jones et al., 1995; Taylor et al., 1995). Holloway et al. (1992) surveyed the temperature and salinity profiles of the Jervis Bay region from May 1990 to December 1991. Salinity shows little annual variation in the bay and tends to be relatively constant at 35.4%, although salinities as high as 35.55% were measured between April and May 1991, and as low as 34.9% in July 1991. The latter reading corresponded to a period of heavy rainfall and river discharge into the bay. Water temperature varies between 15 “C in August-September and 23 “C in January. Study sites Three rocky shore intertidal locations were sampled around Jervis Bay (Fig. 1). Two sites (5 mx5 m plots) were randomly selected at each location, and these sites were sampled during subsequent sampling runs. Plantation Point Plantation Point is a flat mudstone platform about 200m long and 1OOmwide. A sewage outfall pipe discharges tertiary treated sewage due east from this location. Site 1 (PLSl) is on the southern end of the platform and site 2 (PLS2) is on the northern end of the platform. The sewage pipe lies between the two sites. Blenheim Beach The rocky outcrop on the northern end of the beach was sampled with site 1 (BLSl) on the southern tip of the platform, and site 2 (BLS2) about 1OOmfarther north. Site 2 is more exposed to wave energy than site 1. S. Baldwin. 246 W. Maher Fig. 1. Location of sampling sites. Bristol Point Bristol Point is a sandstone rock platform about 200 m long and 30 m wide. Site 1 (BRSl) is on the eastern extreme of the platform and site 2 (BRSZ) about 150 m away on the western end of the platform. Organism selection Five mollusc species were sampled cium Nerita nanum, utrummtosu, in this study. Three were grazing gastropods; Bembiand Austrocochleu constricta; one was a filter-feeding 241 Spatial and temporal variation of selenium concentration bivalve, Ostrea angasi; and one was a carnivorous gastropod, Morula marginalba. These species are representative of molluscs found along the eastern Australian coast from Queensland in the north to Tasmania in the south (Underwood, 1974; Dakin, 1988). All these organisms occur in the mid-littoral zone (Underwood, 1974). Sampling design A nested sampling design (Fig. 2) was used to the assess the relative contribution of each factor (time, species, location and site) to the total variation in selenium concentration. Sampling was conducted monthly from October 1990 to September 1991. Only samples from six of the twelve months sampled were selected to be analyzed for selenium because of analysis constraints. The months were chosen to assess summer, autumn, winter and spring seasonal variations. The level of replication within each month was not sufficient to characterize seasonal variations so only temporal differences were analyzed. Larger sample sizes were collected in January to examine the effects of mass and length on selenium concentration. SAMPLE PREPARATION Processing and storage Molluscs and algae were rinsed with deionised water to remove epiphytic growths and particulates from the surfaces of the samples, depurated in clean water for 12 hr and then Replicates Factors Month 1,; 2 ; Location A Samples* 1 A 2 3 4 5 *In Month l(January) 15 samples were collected for analysis Fig. 2. Sampling design. A 248 S. Bullwin. W. Maher frozen until returned to the laboratory. After defrosting at room temperature, oysters were shucked from their shells while the shells of the gastropod molluscs were cracked with a hammer and soft tissues removed using plastic forceps to extract stubborn muscle tissue adhering to the columellar of the shell. All tissues were placed into acid-washed 20ml plastic-capped viais and frozen until digested. Sample digestion and analysis Samples were freeze-dried and digested with nitric acid using a low volume microwave digestion procedure (Baldwin et al.. 1994). Selenium was determined by electrothermal atomic absorption spectroscopy, using palladium and magnesium as the matrix modifier (Deaker and Maher, 1995). The accuracy of the procedure has been previously assessed by the analysis of a range of standard reference materials (Deaker and Maher, 1995). In this study, reference materials NIST 1966a (Oyster tissue) and NRCC Dorm 1 (Dogfish muscle) were routinely run with each sample batch digested. Recoveries for selenium of 2.2 * 0.2pg g -’ and 1.54 i 0.08 I-(g g -’ dry mass. respectively, were in agreement with the certified values (2.08 f 0.2 pg g- ’ and 1.62 i 0.12 pug g ’ dry mass). RESULTS Interspecies variation of selenium concentration Selenium concentration (pg g ’ dry mass). dry mass and length of shell in the five mollusc species studied over six sampling times were characterized using descriptive statistics of the data pooled across the six sites (Table 1). Shell material of each of the mollusc species from the January run were also digested. Five random samples of shells of each species were analyzed for selenium as a pilot study to determine selenium concentration ranges. Selenium was not present in quantifiable concentrations (0.03 pg Se gg’ dry mass) in any of the shell material analyzed. so no further measurements of shell selenium concentration were performed. N. atramentosa nearly always had the lowest selenium concentrations, followed by A. constricta or B. nanum then 0. angasi, with M. marginalba having the highest concentrations of selenium (Table 1, Fig. 3). Mass and length were not significantly correlated @>0.05) in these organisms. There were consistent trends in mean mass between species at each sampling time (Table 1). N. atramentosa had the largest masses followed usually by 0. angasi or A. constricta, then M. marginalha, and B. nanum. Similarly. there were consistent trends in relative shell lengths between species regardless of sampling time (Table I), but these were often not in the same order as the mass trends. 0. angasi had the greatest mean shell length followed by M. marginalba and N. atramentosa, B. nanum and A. constricta. Frequency distribution of selenium in organisms The distributions of selenium concentration in populations were rarely normal (see normality, kurtosis and skewness columns in Table 1). Figure 3 shows the frequency histograms of selenium concentration in each mollusc species for January pooled data which graphically presents the pronounced positive skew found for most populations. SE = Standard 0. angasi M. marginalba A. constricta N. atramentosa B. nanum Species 30 95 30 30 30 30 30 82 30 30 30 30 30 82 30 30 30 30 30 88 30 30 30 30 15 29 15 15 15 15 1.390 4.622 0.922 2.890 2.860 3.240 3.750 1.520 0.730 1.180 I .830 0.990 1.350 1.450 0.457 0.451 0.928 0.831 0.546 0.608 0.046 0.148 0.054 0.164 0.184 0.056 1.490 0.331 0.893 1.230 Mean Statistics _ 62.7 93.4 177.5 54. I 87.2 87.0 31.5 101.5 190.9 94.4 217.5 91.9 46. I 71.5 66.0 56.3 53.9 53.2 83.1 96.4 69.8 61.1 74.4 85.9 33.7 63.7 78.2 38.4 37.8 38.3 of variation; 0.090 0.002 0.020 0.020 0.060 0.030 0.010 0.190 0.030 0.110 0.130 0.140 0.130 0.700 0.090 0.370 0.320 0.440 0.590 0.130 0.070 0.240 0.180 0.090 0.130 0.090 0.050 0.040 0.300 0.080 N = Sample 0.410 0.330 0.510 0.720 0.480 0.540 0.045 0.098 0.018 0.230 0.155 0.025 1.470 0.300 0.810 1.010 1.410 1.450 3.570 0.630 2.390 2.540 2.300 2.850 1.310 0.730 0.950 1.700 0.960 1.570 Range size; W = Shapiro-Wilks 0.08 2.54 19.00 5.19 -1.33 -0.49 1.56 3.46 15.18 6.41 2.83 0.55 12.14 xl.45 -0.05 -1.27 3.58 a.69 0.43 1.61 0.14 0.35 1.48 0.59 0.16 30.67 1.34 -0.99 1.78 4.25 (VI) Kurtosis TABLE 1 for Five Mollusc 0.05-I .09 0.02-2.12 0.07-8.8 O.l9%2.45 0.02-2. I6 0.03%1.91 O.OlXl.08 0.01-0.76 0.01-4.52 0.015-1.37 0.02-0.74 0.02-0.19 0.05-5.99 0.02-I .09 0.0&2.15 0.01&2.53 0.074.12 0.01-2.86 0.5614.06 0.02-3.94 0.42-8.34 0.37-7.65 0.2&10.47 0.18-15.43 0.89-2.69 0.03-1.58 0.1&3.32 0.562.99 0.44-1.95 0.28-I .81 (all Sites Pooled) Selenium (pg g-’ dry mass) c. v. Median SE+/- error of mean; CV = Coefficient 4 6 8 9 I 4 6 8 9 12 I 4 6 8 9 12 1 4 6 8 9 12 1 4 6 8 9 12 I 12 Month N Descriptive statistic 3.68 2.67 1.71 I .29 2.75 0.58 0.58 0.21 1.20 a.05 1.14 1.41 0.88 0.65 1.32 0.87 0.88 5.48 3.18 a).04 0.93 -1.07 0.0806 0.0001 0.0001 0.0003 0.0001 0.0095 0.0008 0.0001 0.0001 0.0001 0.0001 0.000 I NS 0.000 I NS S-NS 0.0356 NS 0.0007 0.0001 0.0156 NS 0.00 I5 0.0001 NS NS 0.0195 NS NS 0.0066 pv4 Normalitv for normality. 1.88 0.05 I.43 4.17 1.92 a.17 0.63 0.04 fg1l Skewness Species at Six Sampling 0.107 0.064 0.058 0.093 0.086 0.066 0.230 0.222 0.214 0.245 0.301 0.263 0.107 0.163 0.132 0.131 0.140 0.155 0.108 0.092 0.089 0.138 0.103 0.086 0.086 0.145 0.094 0.107 0.180 0.192 0.006 0.002 0.005 0.006 0.006 0.003 0.020 0.010 0.010 0.020 0.030 0.020 0.030 0.010 0.010 0.010 0.010 0.010 0.010 0.010 0.010 0.030 0.010 0.010 0.020 0.040 0.010 1.010 0.020 0.010 Dry Mass (g) SE+/Mean Times 16.70 14.36 14.73 15.97 15.57 15.63 20.30 18.70 18.90 18.40 18.90 18.90 15.27 18.50 16.73 17.00 15.90 16.70 19.23 19.00 20.00 18.87 20.67 20.03 29.67 31.60 26.20 34.13 34.67 31.80 Length Mean 0.25 0.17 0.39 0.034 0.30 0.31 0.58 0.27 0.33 0.36 0.76 0.41 0.33 1.26 0.32 0.29 0.21 0.17 0.39 0.32 0.53 0.46 0.63 0.71 1.05 I .06 1.69 2.67 1.03 1.17 (mm) SE+/- 250 [al PI 6 k , ’ 2 : I i Ml I I L Fig. 3. Frequency histograms of selenium concentration in five intertidal molluscs species B. namum, (b) N. utrarnentnsa, (c) A. constrictu. (d) M. marginal&. (e) 0. angasi. (a) Spatial and temporal variationof selenium concentration 251 The distribution of selenium concentrations in B. nanum approaches normality only in December (Table l), with kurtosis and skewness values of 0.08 and 0.05, respectively. The Shapiro-Wilks (W) statistic provides further support that the selenium concentrations exhibit normal distribution for B. nanum in December. The distribution of selenium in N. atramentosa was symmetrical only in the December (Table l), but exhibits leptokurtic distributions at each sampling time, resulting in non-normal selenium concentration distributions throughout the population. Sampling times other than December produced positively skewed distributions (Table 1). Selenium distribution in A. constricta was normal in December, April and September, whereas selenium distribution in June was very close to normality (Table 1). Selenium distributions for this species vary between leptokurtic and platykurtic for the remaining sampling times, but are positively skewed. Selenium distributions in M. marginalba populations were always slightly positively skewed and generally leptokurtic, except in June when the distribution was found to be normal based on the W statistic (Table 1). 0. angasi showed normal distributions of selenium concentration in December, January, June and August (Table 1). In April, the distribution was positively skewed and leptokurtic. In September, the distribution was negatively skewed and slightly platykurtic. Effects of mass and length on selenium concentration Figure 4 shows scatterplots of selenium concentration and dry mass for each species in January. The trend was towards lower selenium concentrations as the mass of the mollusc increased. B. nanum showed a significant regression for the pooled data (Fig. 4). Only two of the sites BRS2 (r* = 0.39,~ < 0.05) and PLSl (r* = 0.61,~ < 0.001) had significant relationships between mass and selenium concentration. It was observed that individual samples of less than 0.05 g dry mass had higher selenium concentrations. N. atramentosa showed little relationship between mass and selenium concentration when data was pooled across the sites (Fig. 4). At individual sites no significant relationships between mass and selenium concentration were found. A. constricta had a significant regression value for pooled data (Fig. 4). On a site basis, only PLS2 had a significant relationship between mass and selenium concentration (r* = 0.42,~ < 0.05). Mass was therefore not a dominant factor influencing selenium concentration at individual sites. M. marginalba showed no significant relationship between selenium concentration and mass when the data was pooled (Fig. 4). Only one site (BRSZ) had a significant relationship between mass and selenium concentration (r2 = 0.4,~ -C0.05). It was again observed that individual samples of less than 0.05grams dry mass had higher selenium concentrations. The pooled data for 0. angasi (Fig. 4) showed no relationship between mass and selenium concentration (r* = 0.564,~ > 0.05). Only one site, PLSl, had a significant relationship between mass and selenium concentration (r* = 0.81,~ < 0.001). Length as a variable did not influence selenium concentration as no significant correlations of selenium concentration and length were found for pooled data or individual site data. Spatial and temporal variability Nested analysis of variance The possible sources that could contribute to selenium concentration variability, identified at the outset of the study, were species, time, location and site. Gender has not been found 252 S. Baldwin. 7. T . 1.6 W. Maher r=.o.s, ..* Fig. 4. Scatterplots of selenium concentration versus dry mass for five intertidal molluscs species (a) B. namum, (b) N. atramentosa, (c) A. constricta, (d) M. marginalba, (e) 0. ungasi. Spatial and temporal variationof selenium concentration 253 to cause differences in selenium concentration (Maher, unpublished data). The factor ‘site’ was nested in location because two sites were selected within three locations (Fig. 2). A four-way analysis of Variance (ANOVA) showed significantly different selenium concentrations in organisms among locations, between times, among species and among sites. A non-significant result for interaction between location and time indicated that the order of selenium concentration differences between locations was the same at each sampling time. Significant three-way interactions between Location*Time*Species and Time*Species*Site (Location) were found, implying that variations in selenium concentrations at location and site spatial scales were in differing orders and possibly varying magnitudes for species throughout time, i.e. no consistent trend in differences of selenium concentration was apparent for these factors. To further determine intraspecies spatial and temporal variability the data was sorted by species, and a series of three-way nested ANOVAs [Time, Location, Site (Location)] were run. All the factors and interactions analysed were significant sources of variability of selenium concentration in B. nanum and N. atramentosa. For A. constricta location and the interaction between Time and Site (Location) were significant sources of variability of selenium concentration. For M. marginafba the Site (Location) and Locations interaction with Time were not significant sources of selenium concentration variation. For O.angasi only Time was identified as a significant source of variation in selenium concentration. Spatial selenium concentration variation at each sampling time Analysis of variance using two-way ANOVAs [Location, Site (Location)], showed that significant variation in selenium concentration exists on all spatial scales (Location, Site) for all species, with the exception of 0. angasi. Spatial differences in selenium concentration of 0. angasi at Location and Site scales were only detected in December, where selenium concentrations measured at PLSl were significantly different to the other two sites, PLS2 and BRSl (Table 2). For the gastropods, the order of sites from smallest to greatest selenium concentration often differed among sampling times (Table 2) with no apparent predominance of one site over another. Temporal variation All the species investigated in this study showed significant temporal variation in mean selenium concentration (Fig. 5). In January the lowest selenium concentrations were recorded in A. constricta, M. marginalba and 0. angasi for almost all sites. Highest selenium concentrations occurred in cooler seasons i.e. April through to August (Fig. 5). Selenium concentration and selenium body burdens were not significantly correlated (r2 = 0.079 - 0.718, p < 0.005) with changes in mass in B. namum, N. atrametosa, A. constricta and M. marginalba. Average masses are uniform through time for all these molluscs (Figs 5ad). Temporal variation in total selenium body burdens follow the same trends as the selenium concentrations (Figs 5ad) indicating that selenium was taken up and lost over time. A pronounced loss of selenium occurs in January for all molluscs except N. atramentosa. For 0. angasi, selenium concentration was negatively correlated with mass (r2 = 0.40 1, p < 0.00 1). The temporal variation of selenium body burden in 0. angasi (Fig. 5e) indicated that selenium was accumulated during cooler seasons (AprilSeptember) and lost during summer. 254 S. Baldwin, W. Maher TABLE 2 Species Selenium Concentration Differences for each Sampling Time. I = PLSl, 2 = PLS2, 3 = BLSl. 4 = BLS2, 5 = BRS 1, 6 = BRS2; Sites are Arranged in Ascending Selenium Concentration with Sites not Significantly Different (p < 0.05) from each other Underlined. Species B. nanum N. atramentosa A. constricta Site df Pr> F/HSD df’ Pr > F/HSD December 29 0.0001 165432 29 0.05 521436 January 89 0.018 243615 89 0.05 24653 df‘ Pr > F!HSD M. marginalba 0. angasi _ _~~ df Pr> F/HSD df’ Pr> F,‘HSD - 29 0.005 _i~4561 29 0.05 21 5364 29 0.0007 521 89 0.0015 ‘16453 89 0.0029 516342 29 0.05 125 29 0.05 I25 29 0.05 125 0.05 2 I 5 I April 29 0.0036 263145 29 0.05 562314 29 0.05 523641 29 0.0093 251634 June 29 0.0095 142356 29 0.05 3_5_42_3_6 29 0.05 261534 29 0.05 26453 I August 29 0.0001 156423 29 0.05 516423 29 0.05 456213 29 0.05 142653 29 September 29 0.0001 462153 29 0.005 I ‘43561 29 0.005 1 245613 29 0.0006 241653 29 Pr > F denotes probability of difference occuring HSD is the order attained underlined values not significantly different 0, < 0.05) from one another. 0.05 251 _~ by Turkey’s test with DISCUSSION Interspecies variation of selenium concentration The mean selenium concentrations measured in this study for herbivorous gastropods (0.05-l .5 1_~gSe/g dry mass), for filter feeding bivalves (0.7-l .8 PLLg Se/g dry mass) and for carnivorous gastropods (0.94.6 pg Se/g dry mass) were lower than those reported in other studies of relatively unpolluted environments; for bivalves they range between 1.3 and 11 pg Se/g dry mass (Okazaki and Panietz. 198 I : Lobe1 et ul., 199 I ; Lui et al.. 1987) and for gastropods between 0.22 and 9 pg Se/g dry mass (Lui et a/., 1987). The selenium concentrations in molluscs from Jervis Bay analyzed in this study did not differ from selenium concentrations (0.07-2.7p.g Se/g dry mass) measured in molluscs sampled from other relatively unpolluted marine environments in Australia (Maher and Batley, 1990; Maher et al., 1992). Two possible hypotheses may explain these findings. Australian marine biota do not accumulate selenium to the same extent as species studied elsewhere or natural concentrations of selenium are lower in Australian rocks, soils and water than in overseas environments There has not been enough research into Australian marine species’ and their ability to accumulate selenium to yet justify the first supposition. Laboratory uptake experiments are required to quantify each species ability to accumulate selenium under a range of control conditions. The second hypothesis is highly likely as Australian soils are selenium deficient (Berrow and Ure. 1989). The results show that the three grazing species tended to have the lowest selenium concentrations, while the omnivorous filter-feeder and carnivorous species tended to Spatial and temporal variation of selenium concentration Lagmld: . Dry Mua (#) mrotal s.lmtum (rg) .sdmhnn c- 255 bL#g) 4 0.3 0.25 1.4 4.2 T [bl 0.35 T T 0.25 0.3 0.25 0.2 0.15 0.1 ~1 0.05 0 I _._ 0.25 0.2 0.15 0.1 1.05 7 .- -3 f* - - '\;*.*.. 1. ' =. : ",+.~ ** ' - - I - t:" P z % % Fig. 5. Temporal variation of dry mass, total selenium body burden and selenium concentration (a) B. namum, (b) N. atramentosa, (c) A. constricta, (d) M. marginalba, (e) 0. angasi. 256 S. Baldwin. W. Mahrr contain the highest selenium concentrations. This suggests that feeding strategies influenced the uptake rates of selenium among the species. Underwood (1974) has shown there are differences in the rate of feeding between grazing species. Underwood (1984) suggests that there are differences in the type of food ingested by these species as well as differences in digestion and feeding mechanisms. Such variations in food, metabolism and mechanical feeding strategies have been postulated to affect the uptake and retention of trace elements within and between species (Cossa rt al.. 1980). Another explanation would be different metabolic requirements for selenium between the species, as suggested by Ireland and Wootton (1977) for zinc. As selenium concentration in organisms is a product of net uptake minus net elimination. ie. net retention (Fowler and Benayoun, 1976; Wrench. 1979) interspecies differences in retention and elimination mechanisms may also cause differences in selenium concentration. Frequency distribution Most of the individuals within each species contained low concentrations of selenium, with only a few individuals exhibiting high concentrations extending the right tail of the frequency distribution (Fig. 3). Skewness cannot be explained as a size effect, as selenium concentration was not correlated to mass or length. Variability was not due to gender differences (Marino and Enzo, 1983) as selenium concentration differences between males and females are small for intertidal gastropods and bivalves (Maher, unpublished results). Lobe1 et al. (1982,1992) and Lobe1 and Wright (1983) analyzed a number of aquatic organisms for trace elements and also found that all the trace elements measured showed positively skewed frequency distributions in unpolluted environments. It was suggested that such inherent variability may be the result of genetic differences in uptake processes and/or excretion rates. Effects of mass and length on selenium concentration Where relationships between selenium concentration and mass were found, the trend was towards lower selenium concentrations as the mass of the mollusc increased (Fig. 4). The pattern also seems to hold even when the results were not statistically significant. The trend of decreasing selenium concentration with increasing mass has been found by other authors (Abdel-Moati and Atta, 1991; Johns et u/., 1988; Lytle and Lytle, 1982; Cossa et al.. 1979, 1980; Lobe1 et al., 1991). They attributed this to the higher metabolic rates of smaller/younger organisms. The decrease in trace metal concentration in molluscs with the increase of body mass is widely reported in the literature and appears to be a general phenomenum in molluscs (Boyden, 1977; Mackay et al., 1975; Cossa et ul., 1980; Lobe1 and Wright, 1982; Thomson, 1982; Phelps et al., 1985; Savari et uf., 1991; Cheung and Wong, 1992). Johns et al. (1988) suggest age or growth may influence selenium concentrations. Their work on Macoma balthica (clam) revealed that only one of four study sites showed evidence of mass influencing selenium concentrations. Specimens collected at one site were younger organisms than those collected at other sites, even though the range of sizes from each site was similar. The time of exposure (age) to selenium may have influenced selenium concentrations, rather than mass. Counting growth rings in the clam gave an indication of relative ages for the samples collected in the study of Johns et al. (ibid.). The species collected from Jervis Bay do not exhibit identifiable growth rings, and so no age assessment could Spatial and temporal variation of selenium concentration 251 be undertaken. Mass and length were the only approximations available to assess an organism’s age and, as shown by Johns et al. (ibid), such morphological measurements are not reliable predictors of age. Spatial variability For B. nanum, N. atramentosa, A. constricta and M. marginalba the results from this study show that there were significant differences in selenium concentration within a species among locations and among sites (Table 2). For 0. angasi there was no difference in selenium concentration within a species among locations and among sites (Table 2). The sewage outfall situated at Plantation Point (Fig. 1) was considered to be a potential source of selenium input into Jervis Bay that might have influenced spatial differences in selenium concentration found in biota. The sewage outfall does not appear to be a major source of selenium as biota from the two Plantation Point sites (Table 1) did not consistently differ in selenium concentrations from those from other sites. Examples of natural spatial variability in trace element concentrations can be found throughout the literature (Bryan, 1973; Karbe et al., 1977; Gorden et al., 1980; Lobe1 et al., 1982; Lobe1 and Wright, 1983; Lobel, 1987). Whole soft tissue concentrations of trace metals have been found to differ significantly within and between sites even when studies have been designed to eliminate physiological and ecological factors (gender, size, habitat) which might cause differences in trace metal concentrations. Unexplained residual variability, or inherent variability, appears to be a ‘universal characteristic’ of trace metal concentration distributions in molluscs. The factors known to affect the accumulation and retention of elements in marine organisms are both extrinsic (pH, salinity, temperature and chemical speciation) and intrinsic (gender, size, diet and age) to the organism. pH and salinity in Jervis Bay are relatively uniform through space and time, but temperature (of water and air) does change seasonally (Holloway et al., 1992). The species analyzed in this study were subject to habitat heterogeneity. The sampling sites, although all classed as rocky-shore habitats, were made up of micro-habitats that included rock pools, flat rock platforms with varying slopes, crevices and overhangs. These variations in ecological habitat create differences in wave energy impacts, shelter, recruitment, and food availability (Fletcher, 1987; Fairweather and Underwood, 1983; Fairweather et al., 1984; Underwood and Atkinson, 1995). The subsequent biological effects may be differences in size, age and metabolism of organisms, hence variations in selenium concentrations, even within the same species. Growth rate has been shown to be important in determining the accumulation of selenium (Cain et al., 1987) and other trace elements (Cossa et al., 1980; Strong and Luoma, 1981). Growth rates of N. atramentosa vary depending on their vertical position on rocky shore platforms (Underwood, 1984) because of the availability of algae found at different shore heights. Molluscs on lower positions of the rocky shore have longer immersion times, hence longer feeding times, and lower positions on rocky platforms have more moisture encouraging greater algal growth. Growth rates for B. nanum show a similar trend. Growth correlates with algae supply and appears to be dependent on shore height. Rates of feeding between individuals of different sizes do not differ significantly (Underwood, 1984). M. marginalba are known to sit on prey through several high and low tide periods, and thus are exposed for part of their feeding time to heat and desiccation stress (Moran, 1985). Such stress may cause M. marginalba to cease feeding and seek shelter, which 258 S. BuMwin. W. Maher amounts to another factor causing variation in food intake between individuals, and hence growth and selenium intake. Differences in shelter availability on a micro-scale between sites may enable M. marginalha to feed more at some sites, but not at others. The two sites at Plantation Point (PLSI and PLS2) were situated on a flat basalt rock platform with shallow sheet depressions formed from erosion. The sites at Blenheim Beach (BLSl and BLS2) and Bristol Point (BRSI and BRS2) were sandstone rocky outcrops with much more slope and elevation than Plantation Point. and deeper, more numerous rock pools. The need for shelter from desiccation would depend on the solar radiation, so the feeding patterns will vary over time, especially at exposed sites (PLSl and PLS2). This outcome at exposed sites could be counteracted by the occurrence of other sheltering factors, such as growth of macroalgae shading the open spaces within rockpools. It was noted that in late summer the macroalga Homosira hanksii was abundant, especially across sites at Plantation Point (PLS) and Bristol Point (BRS). Not only does M. marginalba exhibit irregularity in feeding patterns, but also variability of prey species eaten (Fairweather and Underwood, 1991) which may lead to differences in the amounts of selenium ingested. Fairweather and Underwood (1991) have shown that different prey species, including N. atramentosa, eggs of N. atramentosa, B. nanum, and A. constricta, are eaten in different amounts depending on site. Reasons for this may include prey availability, relative sizes of prey species, or location of prey species relative to shelter access on the shore (Fairweather and Underwood. 1991). All the prey species were found at each site, consequently dietary differences may influence growth and selenium uptake and cause selenium concentration variation in hf. marginalba. Gender may be a factor contributing to site variation of selenium concentration within a species, depending on the ratio of females and males collected (Lobe1 ct a/., 1991). Measurements of selenium concentrations in B. tzanum and A. constricta from other Australian locations have shown no significant difference in selenium concentration between males and females collected at the same time (Maher, unpublished data) and differences due to gender are not considered to be a factor causing selenium concentration variability in the results presented here. TEMPORAL VARIABILITY Selenium concentrations were found to vary temporally in this study (Fig. 5). Similar findings that selenium and other trace elements vary on a temporal basis have been reported in the literature (Karbe et al., 1977; Bryan, 1973; Gault et al., 1983; Savari et al., 1991; Lobe1 et al., 1991). As found in other studies. concentrations of metals were highest when algal productivity was relatively low in the autumn and winter months while concentrations of metals were smallest in the spring and summer months when food availability was high. In other studies of bivalve molluscs, decreases in selenium concentration were correlated with increases in the mass of the organism (Simpson, 1979). 0. angasi followed this pattern (Fig. 5e). The gastropods did not show this trend as masses were relatively constant throughout the year (Figs 5a-d). Algal productivity is still high in Jervis Bay, even in winter months, and the ongoing food availability results in the maintaince of body mass of molluscs during the winter. Phillips (1980) identified three factors which may contribute to temporal changes in tissue trace metal concentrations. These were variation in pollutant delivery to the Spatial and temporal variation of selenium concentration 259 environment; changes in ambient factors affecting metabolism, such as salinity and temperature; and the organisms’ physiology, especially aspects relating to reproductive cycles. The mollusc species from Jervis Bay are probably not affected by variations in selenium input into the Bay. The Jervis Bay catchment has urban areas around the bay, but no industrial inputs. Selenium input into Jervis Bay probably does not vary temporally because there is an absence of discharge from large sources, ie. industrial inputs, power plants. The catchment area is small compared to the volume of water in the bay, so freshwater inflow is comparatively small and run-off from stormwater probably does not affect concentrations of selenium in Jervis Bay waters. Also biota from the two Plantation Point sites near the sewage outflow did not differ in selenium concentrations from those from other sites (see Table l), indicating that this potential point source of selenium is not influencing selenium concentrations. Changes in salinity can influence the uptake of trace elements (Phelps et al., 1985; Wilson and Elkam, 1992), but the salinity in Jervis Bay does not substantially alter through time (Holloway et af., 1992). Water temperature measurements by Holloway et al. (1993) showed an 8 “C decrease from January to August. Biota in Jervis Bay show seasonal growth and reproductive patterns, such as increased algal growth and spawning activities in molluscs in summer (Underwood, 1974). It is therefore likely that the selenium concentrations in biota from Jervis Bay measured in this study are influenced by factors such as food availability changing temporally with temperature, and growth rates, reproduction cycles and associated metabolic activities responding to temperature changes and food availability. Laboratory experiments on selenium conducted by Fowler and Benayoun (1976) showed that increasing the temperature of water from 13 “C to 22°C doubled the selenium concentration factor in Mytilus galloprovincialis. The rise in temperature probably increased the metabolic rates of these bivalves. Alternatively, a temperature rise may increase the elimination rate or signal spawning, either of which may decrease selenium concentration and total selenium body burden in the animals. Temporal differences in metal concentrations may be a function of mass changes corresponding with reproductive cycles. Growth rates tend to decrease when molluscs reach sexual maturity because energy is redirected into gamete production at the expense of energy available for growth (Cossa et al., 1979). Simpson (1979) reports that trace element variations in Mytifus edulis have been shown to reciprocate seasonal mass variations. This was the general trend only for 0. angasi (Fig. 5e). N. atramentosa, B. nanum and M. marginalba spawn through summer, with a peak in January and finishing by February/March (Underwood, 1974). Hence a mass loss would be expected over this time unless confounded by mass gain from tissue growth in a possible concomitant growth season (Zwarts, 1991). Although mass losses did not occur, selenium concentrations and selenium body burdens decreased, suggesting selenium was lost with mature oocytes. CONCLUSIONS The dry mass selenium concentrations determined in molluscs in this study are lower than those reported in overseas studies of molluscs but do not differ greatly from selenium concentrations in molluscs reported in other published Australian studies. N. atramentosa S. Baldwin. W. Maher 260 always had the lowest selenium concentration, followed usually by A. constricta or B. nanum, then 0. angasi with M. marginalbu having the highest selenium concentrations. The distribution of selenium concentrations generally exhibited positive skewness and selenium concentrations did not have any consistent relationship with mass or length of the species. Significant variation in selenium concentration existed on all spatial scales (Location, Site) for all species with the exception of 0. ungasi. All the species showed significant temporal variation in selenium concentration and selenium body burdens but there were no consistent site trends through time or relationships with mass. 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